WEBVTT - Michael Mauboussin on How to Read Stock Prices (Podcast)

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<v Speaker 1>This is Mesters in Business with very Results on Blueberg Radio.

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<v Speaker 1>This week on the podcast, I have an extra special guest,

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<v Speaker 1>returning Champion, Michael Mobison. He is on the buy side

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<v Speaker 1>people thinking. When I say that Michael is at Counterpoint

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<v Speaker 1>Global at Morgan Stanley Investment Management, it's not Morgan Stanley,

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<v Speaker 1>the big seal side broker dealer. It's a totally different division,

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<v Speaker 1>their asset management division. We really spend a lot of

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<v Speaker 1>time talking about UH the new edition of his book,

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<v Speaker 1>Expectations Investing. What I love about Michael is how thoughtful

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<v Speaker 1>he is, how interesting his approach to investing, thinking about markets,

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<v Speaker 1>individual companies value UH and basically the approach he brings

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<v Speaker 1>to research to the investment community. He's been writing and

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<v Speaker 1>publishing about markets for literally decades, not just his many books,

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<v Speaker 1>which I'll include in my notes, but the research papers

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<v Speaker 1>he puts out and shares with the public. They're always

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<v Speaker 1>interesting and thoughtful, and I frequently find myself looking at these,

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<v Speaker 1>reading these and going huh cock in my head, I

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<v Speaker 1>hadn't thought about that. That's a really interesting take on

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<v Speaker 1>a very fundamental idea, and I'm I'm glad I had

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<v Speaker 1>the opportunity to give this a thought. I found this

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<v Speaker 1>to be a master class in valuation and how to

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<v Speaker 1>think about what a company's proper potential value is, what

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<v Speaker 1>your expectation for investing in that company should be. Uh,

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<v Speaker 1>it's no surprise he's been teaching at Columbia for I

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<v Speaker 1>don't know twenty years as an adjunct professor in the

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<v Speaker 1>Business School. I'm gonna stop babbling and say, with no

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<v Speaker 1>further ado, my conversation with Morgan Stanley's Michael Mobison. This

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<v Speaker 1>is Mesters in Business with very Results on Bloomberg Radio.

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<v Speaker 1>My very extra special guest this week is Michael Mobisan.

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<v Speaker 1>He is the head of Concealing It Research at Counterpoint Global,

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<v Speaker 1>which is part of Morgan Stanley's investment management group. It's

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<v Speaker 1>the bye side part, not the sell side part of

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<v Speaker 1>Morgan Stanley. Previously, he was head of Global financial Strategies

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<v Speaker 1>at Credit Swiss and before that, chief investment strategist at

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<v Speaker 1>leg Mason Capital Management, working with the famed investor Bill

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<v Speaker 1>Miller during his incredible streak. He is also a professor

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<v Speaker 1>of finance at Columbia Business School and Chairman of the

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<v Speaker 1>Board of Trustees at the Santa Fe Institute. Michael Mobisan,

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<v Speaker 1>Welcome back to Bloomberg. Awesome to be with you, Barry.

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<v Speaker 1>Always a blast, and it's so good to be with you.

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<v Speaker 1>You know, I don't do this. I don't throw my

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<v Speaker 1>arms up when I'm doing it at home remote using

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<v Speaker 1>a Comrex machine to jack into the Bloomberg machinery. It's

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<v Speaker 1>nice to be in the studio and look at you.

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<v Speaker 1>I I have four hours worth the questions for you,

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<v Speaker 1>so we'll we'll see if we can get through some

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<v Speaker 1>of them. But let's start talking about your most recent book,

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<v Speaker 1>which I hold in my hands, Expectations investing, reading stock

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<v Speaker 1>prices for better returns. So you first wrote this twenty

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<v Speaker 1>years ago with your co author is Alfred Rappaport. What

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<v Speaker 1>made you decide to um revisit this and reissue this

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<v Speaker 1>twenty something years later? Yeah? Why should first tell you

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<v Speaker 1>a little bit about the background of the first book?

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<v Speaker 1>And and I was, you know, I was a someone

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<v Speaker 1>had no business experience, coming onto Wall Street and read

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<v Speaker 1>a copy of Owl's book Creating Shoulder Value in the

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<v Speaker 1>late nineteen eighties, and it was for me a professional epiphany.

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<v Speaker 1>And I say that because it really everything I've done

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<v Speaker 1>professionally has come and rift off of this, so it's

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<v Speaker 1>really standing on the shoulder of giants. And so al

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<v Speaker 1>Rapaport has been an incredible mentor and collaborator for me.

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<v Speaker 1>So that book, by the way, it was aimed at

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<v Speaker 1>corporate executives about building value. And there were three lessons

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<v Speaker 1>in there that I always have taken with me. One

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<v Speaker 1>is it's about cash flows and not accounting numbers, you know.

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<v Speaker 1>And it's funny, Barry that we seem to relearn this

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<v Speaker 1>lesson from time and time, but we'll probably get into

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<v Speaker 1>it in some degree. But I think today we're at

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<v Speaker 1>a particularly interesting time and markets where because of the

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<v Speaker 1>way the accounting works and because of the way the

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<v Speaker 1>economy is moving, uh, you have to really follow the

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<v Speaker 1>cash trail more than ever. The second thing is he said,

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<v Speaker 1>you know, to do intelligent valuation work, you have to

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<v Speaker 1>understand both finance and strategy. And I think this is

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<v Speaker 1>something else people feel very free throwing multiples around and

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<v Speaker 1>so on and so forth without really doing the proper

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<v Speaker 1>strategy analysis. And I think that was a second lesson.

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<v Speaker 1>And then the third thing, this is my build up

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<v Speaker 1>to your answer your question. The third thing was the

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<v Speaker 1>original book catch chapter seven was called stock market signals

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<v Speaker 1>to managers, and the argument was, hey, executive, if you

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<v Speaker 1>want to understand how to allocate capital judiciously, even set

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<v Speaker 1>up incentives, you need to understand what the markets pricing

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<v Speaker 1>into your stock. So that obviously has direct implications for investors.

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<v Speaker 1>And that ended up, you know, we end up collaborating

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<v Speaker 1>on the original version aimed at investors called Expectations Investing.

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<v Speaker 1>Now I'm glad you're sitting down because the original version

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<v Speaker 1>came out September two thousand and one, like literally twenty

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<v Speaker 1>years ago, the day before the Greatest that the greatest

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<v Speaker 1>not natural tragedy, and by the way, much less significantly

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<v Speaker 1>in the midst of a three bear three year bear market. Right.

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<v Speaker 1>So um, And by the way, I thought, you know,

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<v Speaker 1>many of the ideas and the books stood up over time.

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<v Speaker 1>But I had been teaching from this these principles for

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<v Speaker 1>a long time and so you know, and part of

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<v Speaker 1>was COVID induced, but I was, you know, and I'm

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<v Speaker 1>in constant conversation with with Al, and I said to him,

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<v Speaker 1>you know, there's enough that's gone on in the world,

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<v Speaker 1>uh that I think we it's time for us to

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<v Speaker 1>take another swing at this, which is bring in what

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<v Speaker 1>is new, freshen up our case studies and uh like,

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<v Speaker 1>let's focus on what worked still and what's still is good,

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<v Speaker 1>but let's bring it in and make it more contemporary.

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<v Speaker 1>So I just thought it was and and and and

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<v Speaker 1>and in teaching it, what lessons have I learned? And

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<v Speaker 1>how to communicate some of the ideas effectively, what matters

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<v Speaker 1>and what. So we ended up only getting rid of

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<v Speaker 1>one chapter, replacing one chapter altogether. But there's so much

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<v Speaker 1>about it. So the bones are basically the same, but

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<v Speaker 1>there's so much about it that's brand new in terms

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<v Speaker 1>of the case studies and again reflecting how the world

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<v Speaker 1>has changed in the last twenty years. And for people

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<v Speaker 1>who may not be familiar with Alfred Rappaport, he's a

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<v Speaker 1>professor professor at Kellogg and and he's done a ton

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<v Speaker 1>of work on how to create long term value and

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<v Speaker 1>overcome short term is um amongst investors and corporate managers.

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<v Speaker 1>Tell us a little bit about that background. Yeah, I

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<v Speaker 1>mean that's it. I mean, look, I think that he

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<v Speaker 1>um is gonna he is one of the great sort

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<v Speaker 1>of academics, uh in this whole area in the last

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<v Speaker 1>half century. Um. His PhD is in accounting, by the way,

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<v Speaker 1>I should mention, but he's made very important contra usians

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<v Speaker 1>in accounting, in finance, and as I mentioned, was one

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<v Speaker 1>of the great synthesizers of bringing together strategy and finance.

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<v Speaker 1>He by the way, did a lot of the executive

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<v Speaker 1>programs a Kellogg and had a literally a world famous

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<v Speaker 1>program called Merger Week. And if you were anybody in

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<v Speaker 1>the mergers and acquisitions world, in the corporate world in

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<v Speaker 1>the eighties and nineties, you the mecca was to go

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<v Speaker 1>to Kellogg to do Merger Week and learn about this.

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<v Speaker 1>And so yeah, I mean, he's just a tremendous a

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<v Speaker 1>tremendous resource. Now he's in he is in his late eighties. Now,

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<v Speaker 1>he by the way, could not be better. I mean

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<v Speaker 1>I talked to him almost every single day and sharpened

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<v Speaker 1>and you know, just intellectually, so curious, a very avid reader.

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<v Speaker 1>I mean, so really going, still going, really really strong.

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<v Speaker 1>But um, and it's by the way, total delight. Is

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<v Speaker 1>always total delight working with him, in part for for

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<v Speaker 1>for the joint learning that goes on, but also to

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<v Speaker 1>have someone to be a reality check when you're sort

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<v Speaker 1>of going off a little bit and need a little

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<v Speaker 1>of course, correction. He's the old professor that sort of

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<v Speaker 1>brings you back into line, which is powerful. That's great.

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<v Speaker 1>Everybody needs a Jimney Cricket on their shoulder to make

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<v Speaker 1>sure they're not, you know, they're not going off to

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<v Speaker 1>never Neverland. So there are a bunch of quotes from

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<v Speaker 1>the book I want to get into, but I have

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<v Speaker 1>to start with one that that's so macro and all encompassing.

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<v Speaker 1>It really talks to the theme of the book, which

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<v Speaker 1>is when investors talk about expectations, they're usually talking about

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<v Speaker 1>the wrong expectations. Explain, well, I think that, Um, it's

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<v Speaker 1>interesting that when people talk about what a stock is worth,

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<v Speaker 1>and you should you should correct me if you hear

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<v Speaker 1>something differently, it's almost always some multiple of some sort

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<v Speaker 1>of earnings metric PE to say, the very least and

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<v Speaker 1>then a million variations r P E or e VD

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<v Speaker 1>or something like that. Right, And so the basic argument is,

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<v Speaker 1>at um, multiples are shorthand for what is a broader

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<v Speaker 1>valuation process, and multiples embedding them lots of assumptions about

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<v Speaker 1>how the world works, including assumptions about returns on capital

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<v Speaker 1>and growth and so forth. And then as we'll talk

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<v Speaker 1>about and probably more detail. Measures like earnings or even

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<v Speaker 1>even daw themselves um can be very unreliable measures or

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<v Speaker 1>metrics of value creation. So so when they say, oh,

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<v Speaker 1>at at X multiple, that it looks like low expectations,

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<v Speaker 1>or it's cheap in quotation marks, or it's expensive in

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<v Speaker 1>quotation marks, they're really they really don't know exactly. They

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<v Speaker 1>haven't unpacked exactly what the story is. Whereas I think

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<v Speaker 1>we'd all agree a lease in theory that the value

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<v Speaker 1>of the business is the present value the cash flows.

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<v Speaker 1>The argument I always like to make is, let's let's

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<v Speaker 1>lay the lay bare on the table what those assumptions are,

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<v Speaker 1>what the underlying economic assumptions are, and then debate them. Right,

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<v Speaker 1>we may not agree or come down in the same

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<v Speaker 1>place on these things, but at least we note we're

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<v Speaker 1>dealing with versus uh, these these these using putting together

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<v Speaker 1>a multiple, these two things that are neither which on

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<v Speaker 1>their own are very helpful. So so let me take

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<v Speaker 1>a swing at this and you tell me if I'm

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<v Speaker 1>on the money or or off. So when we look

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<v Speaker 1>at earnings, a lot of different things go into making

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<v Speaker 1>earnings high or low, cheaper, expensive, And if you're just

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<v Speaker 1>looking at that net number, you're blind to all the

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<v Speaker 1>moving parts that might be temporary one offs or potentially

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<v Speaker 1>reflect fast future growth. Just looking at the number itself

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<v Speaker 1>relative to price doesn't give you a complete picture. Is

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<v Speaker 1>that a fair? That? That for sure is true? And

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<v Speaker 1>then there's another component of it that's probably even more compelling,

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<v Speaker 1>which is growing earnings is not synonymous with growing value.

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<v Speaker 1>So saying that differently, if you invest in your business

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<v Speaker 1>and your earning exactly your cost to capital, growth doesn't

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<v Speaker 1>make any doesn't add any value whatsoever. And so uh

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<v Speaker 1>so so so earnings growth be good, it can be bad,

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<v Speaker 1>it can be indifferent, and so you just don't know that.

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<v Speaker 1>So saying this differently, company A and company be same

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<v Speaker 1>earnings growth rates, but the very different value creation prospects

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<v Speaker 1>you can't tell. You know, the multiples are going to

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<v Speaker 1>be different, and they should be different, but the earning

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<v Speaker 1>the earning number in and of itself doesn't tell you

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<v Speaker 1>the answer. And then the other question that comes out

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<v Speaker 1>of this that I felt was really fascinating, what sort

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<v Speaker 1>of expectations should investors have from reading stock prices? And

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<v Speaker 1>how can the ordinary investor read stock prices? Yeah? So

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<v Speaker 1>this I mean this gets to the heart of it.

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<v Speaker 1>And you know, Barry, I was trying to do a

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<v Speaker 1>little bit even and working on this book, I was

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<v Speaker 1>trying to get a little bit of the psychology of

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<v Speaker 1>this because it seems fascinating to me that people love

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<v Speaker 1>to think that they can figure out the value and

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<v Speaker 1>then they're going to compare the value to the price. Right,

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<v Speaker 1>So there they feel like their job is to figure

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<v Speaker 1>out why identifying intrinsic value sided discounts premium and what

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<v Speaker 1>this The premise of this book is obviously just to

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<v Speaker 1>reverse the whole process and just say, like, there's only

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<v Speaker 1>one thing we know for sure, and that's the stock price. Right. Again,

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<v Speaker 1>you may not may like it or not, like it

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<v Speaker 1>doesn't matter. It is something we know for sure. It's

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<v Speaker 1>an objective number versus what's essentially an opinion. So then

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<v Speaker 1>we say we're going to reverse engineer what has to

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<v Speaker 1>happen for that thing to make sense, and then try

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<v Speaker 1>to judge whether that is sensible. Now that to me,

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<v Speaker 1>the most powerful and vivid metaphor is the handicapper. So

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<v Speaker 1>you go off to the horse races to figure out

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<v Speaker 1>and and presuming you'd like to make money, there are

0:12:32.320 --> 0:12:34.920
<v Speaker 1>two things that are really important, right. One is the

0:12:34.960 --> 0:12:37.120
<v Speaker 1>odds on the toe board, which is telling you which

0:12:37.160 --> 0:12:39.960
<v Speaker 1>horse or horses are likely to win. The second is

0:12:39.960 --> 0:12:42.000
<v Speaker 1>how fast the horse is going to run, right, And

0:12:42.040 --> 0:12:44.520
<v Speaker 1>so it's the combination of these two things that it's important.

0:12:44.520 --> 0:12:46.840
<v Speaker 1>But often starting with the toe boards a very sensible

0:12:46.840 --> 0:12:48.480
<v Speaker 1>thing because you say, all right, well, you know, is

0:12:48.520 --> 0:12:50.600
<v Speaker 1>this a favorite or is this a long shot whatever

0:12:50.640 --> 0:12:54.560
<v Speaker 1>whatever it is. So this is basically saying, let's do

0:12:54.600 --> 0:12:57.000
<v Speaker 1>these things backwards. And by the way, there's a there's

0:12:57.000 --> 0:12:58.720
<v Speaker 1>a fascinating guy who you by the way, you should

0:12:58.720 --> 0:13:00.840
<v Speaker 1>get him on sometime. He's really interesting and a kind

0:13:00.880 --> 0:13:03.960
<v Speaker 1>of Stephen Christ. Do you know Steve? Do you know

0:13:04.000 --> 0:13:06.880
<v Speaker 1>Stephen Christ? And the way he's a he's an interesting guy,

0:13:07.280 --> 0:13:09.679
<v Speaker 1>um he and he's written a lot. By the way.

0:13:09.679 --> 0:13:11.800
<v Speaker 1>He wrote a chapter in a book called It's called

0:13:11.880 --> 0:13:14.280
<v Speaker 1>kristin Value is a thirteen page chapter which is one

0:13:14.320 --> 0:13:17.679
<v Speaker 1>of the best chapters about investing I've ever read, even

0:13:17.720 --> 0:13:20.680
<v Speaker 1>though it's about handicapping and Chris sort of talks about

0:13:20.800 --> 0:13:23.120
<v Speaker 1>you know, it's it's about this miss pricing between odds

0:13:23.120 --> 0:13:26.400
<v Speaker 1>and and and performance and so forth. But one of

0:13:26.400 --> 0:13:28.040
<v Speaker 1>the one of the lines in there he loves. He

0:13:28.080 --> 0:13:29.960
<v Speaker 1>says that I love. He says, you know, everybody thinks

0:13:29.960 --> 0:13:32.760
<v Speaker 1>that they're doing this thing, but very few people actually do.

0:13:32.840 --> 0:13:35.080
<v Speaker 1>And I think that's the same thing for for investing.

0:13:35.120 --> 0:13:38.280
<v Speaker 1>So when when you explain expectations investing the basic principle,

0:13:38.320 --> 0:13:40.840
<v Speaker 1>people go, yeah, well, it's kind of what I'm doing,

0:13:40.920 --> 0:13:42.920
<v Speaker 1>and isn't it And and the answer is that's known

0:13:42.920 --> 0:13:45.200
<v Speaker 1>and not really what you're doing. Right. So so there

0:13:45.200 --> 0:13:47.680
<v Speaker 1>are really three steps in the process, which you'll probably

0:13:47.720 --> 0:13:49.520
<v Speaker 1>get to you. But one is to say what has

0:13:49.559 --> 0:13:52.079
<v Speaker 1>to happen for today's stock price to make sense, right,

0:13:52.080 --> 0:13:55.280
<v Speaker 1>So that's just basically where is the bar set? And

0:13:55.320 --> 0:13:57.640
<v Speaker 1>then step two is introducing you know, sort of more

0:13:57.720 --> 0:14:01.880
<v Speaker 1>high falutin strategic and financial now to determine whether company's

0:14:01.880 --> 0:14:05.160
<v Speaker 1>gonna outperform, that expectations underperform, or g it's going to

0:14:05.240 --> 0:14:07.800
<v Speaker 1>be I have no strong opinion one or another. And

0:14:07.840 --> 0:14:10.160
<v Speaker 1>then step three is to make by cell and hold

0:14:10.320 --> 0:14:14.959
<v Speaker 1>uh uh decisions as a consequence. So in the book

0:14:15.040 --> 0:14:17.240
<v Speaker 1>you we're going to talk about earnings now, but I

0:14:17.320 --> 0:14:21.240
<v Speaker 1>have to bring up the broad changes you identify in

0:14:21.280 --> 0:14:24.280
<v Speaker 1>the market, and and we're going to circle back to

0:14:24.320 --> 0:14:27.680
<v Speaker 1>these but I want to reference these relative to earnings.

0:14:28.080 --> 0:14:32.040
<v Speaker 1>The shift from active to passive, the rise of intangibles,

0:14:32.200 --> 0:14:35.640
<v Speaker 1>the move from public investing to private investing, and then

0:14:35.640 --> 0:14:39.520
<v Speaker 1>the major changes in accounting rules. All four of those

0:14:39.560 --> 0:14:43.080
<v Speaker 1>things have changed since the first version of this book.

0:14:43.520 --> 0:14:48.480
<v Speaker 1>How significant are they to how earnings are accounted for

0:14:48.800 --> 0:14:52.240
<v Speaker 1>and valued by investors? So, I mean, maybe we can

0:14:52.280 --> 0:14:54.360
<v Speaker 1>part these a little bit because I think the active

0:14:54.720 --> 0:14:58.800
<v Speaker 1>too passive thing would affect you know, if it affects anything,

0:14:58.840 --> 0:15:01.760
<v Speaker 1>would be things like markets more or less efficient and

0:15:01.840 --> 0:15:03.960
<v Speaker 1>things like that. So I don't know that that's a

0:15:04.000 --> 0:15:06.400
<v Speaker 1>big thing for what we're talking about in terms of earnings.

0:15:07.000 --> 0:15:09.960
<v Speaker 1>And the other one is public to private And you know,

0:15:10.000 --> 0:15:11.720
<v Speaker 1>even since we wrote this book there I think there

0:15:11.720 --> 0:15:15.000
<v Speaker 1>are a third fewer public companies than there were twenty

0:15:15.080 --> 0:15:18.160
<v Speaker 1>years ago. But on that point, keep in minds someone

0:15:18.240 --> 0:15:21.960
<v Speaker 1>there's been some studies done and a huge swath of

0:15:21.960 --> 0:15:25.200
<v Speaker 1>those were penny stocks that got kicked off the nas

0:15:25.240 --> 0:15:28.520
<v Speaker 1>deck and onto the paint and nobody really cares about them. Yeah,

0:15:28.560 --> 0:15:31.720
<v Speaker 1>that's that is absolutely correct, and so but the nature

0:15:31.720 --> 0:15:33.920
<v Speaker 1>of these companies have changed, it in the market caps

0:15:33.920 --> 0:15:35.640
<v Speaker 1>and so forth. But again that I'm not sure that's

0:15:35.640 --> 0:15:38.360
<v Speaker 1>a big story for earnings. I think the one that

0:15:38.480 --> 0:15:40.800
<v Speaker 1>I mean accounting changes, but I think the really big

0:15:40.840 --> 0:15:43.880
<v Speaker 1>one is this rise of intangibles that you pointed out,

0:15:43.960 --> 0:15:46.720
<v Speaker 1>And just to give well, first of all, let's go

0:15:46.760 --> 0:15:48.720
<v Speaker 1>back a little bit even further in history. Back in

0:15:48.760 --> 0:15:53.760
<v Speaker 1>the nineteen seventies, tangible investment, so tangible physical things, think

0:15:53.880 --> 0:15:58.760
<v Speaker 1>tractor factories and truck machines, drills, all that, right, those

0:15:58.800 --> 0:16:02.720
<v Speaker 1>were twice the level of intangible investments and intangible by

0:16:02.760 --> 0:16:09.200
<v Speaker 1>definition non physical, so think now branding, software, code, all

0:16:09.240 --> 0:16:13.160
<v Speaker 1>these kinds. Okay, right, So two to one tangible to intangible.

0:16:13.240 --> 0:16:15.640
<v Speaker 1>At the time we wrote the book so called two

0:16:15.680 --> 0:16:18.520
<v Speaker 1>thousand and one, twenty years ago, they were the first

0:16:18.600 --> 0:16:22.360
<v Speaker 1>version of the book. They were at parody. And our

0:16:22.520 --> 0:16:27.120
<v Speaker 1>estimate is, for one that intangibles will be more than

0:16:27.160 --> 0:16:30.920
<v Speaker 1>two times tangible. So in the last twenty years alone,

0:16:30.920 --> 0:16:32.640
<v Speaker 1>they you could sort of say they started the race

0:16:32.960 --> 0:16:36.240
<v Speaker 1>basically neck and neck, and now it's much much more intangible.

0:16:36.480 --> 0:16:38.440
<v Speaker 1>So why why is that important? Like why do we

0:16:38.480 --> 0:16:42.520
<v Speaker 1>care about that? That's important because tangible assets, the way

0:16:42.560 --> 0:16:46.320
<v Speaker 1>the accounts record them is they're capitalized on the balance sheet, right,

0:16:46.320 --> 0:16:48.640
<v Speaker 1>it's a it's property, plant, and equipment, which we then

0:16:48.680 --> 0:16:51.400
<v Speaker 1>depreciate over time, so it does show up in the

0:16:51.400 --> 0:16:54.960
<v Speaker 1>income statement, but primarily in the form of depreciation. By contrast,

0:16:55.480 --> 0:16:59.680
<v Speaker 1>intangible investments are fully expensed. Now. The most famous of

0:16:59.720 --> 0:17:02.040
<v Speaker 1>these research and development, and we've known that since the

0:17:02.080 --> 0:17:04.879
<v Speaker 1>nineteen seventies, the fast we decided that that R and

0:17:04.960 --> 0:17:07.439
<v Speaker 1>D should be expensed, and there's debate about there's been

0:17:07.480 --> 0:17:10.040
<v Speaker 1>builby about that for a very long time. But now

0:17:10.200 --> 0:17:12.719
<v Speaker 1>R and D is only a quarter of total intangible investment.

0:17:12.800 --> 0:17:15.160
<v Speaker 1>So there's lots of other stuff that's going on that's

0:17:15.200 --> 0:17:17.639
<v Speaker 1>all expensed. So what does that mean, all things being equal,

0:17:17.720 --> 0:17:20.000
<v Speaker 1>The answer is earnings are a lot lower than they

0:17:20.080 --> 0:17:23.800
<v Speaker 1>would otherwise be. I always like to point out that, uh,

0:17:23.840 --> 0:17:29.200
<v Speaker 1>you know, great companies like Walmart, great companies like home Depot,

0:17:29.280 --> 0:17:31.439
<v Speaker 1>for the first ten or fifteen years, they republic had

0:17:31.520 --> 0:17:34.760
<v Speaker 1>negative free cash flow, right, which their investments were bigger

0:17:34.760 --> 0:17:37.879
<v Speaker 1>than their earnings. That they had positive earnings. Was that

0:17:38.000 --> 0:17:41.200
<v Speaker 1>a problem, No, it's fantastic, right, because their investments had

0:17:41.359 --> 0:17:44.639
<v Speaker 1>very high returns on on capital and so and by

0:17:44.640 --> 0:17:47.160
<v Speaker 1>the way, Walmart, for example, it's first fifte years tripled

0:17:47.160 --> 0:17:49.359
<v Speaker 1>the performance of the stock market. Right, it crushed it.

0:17:49.840 --> 0:17:53.120
<v Speaker 1>And when you do the that's a substantial compounding advantage. Right.

0:17:54.040 --> 0:17:58.040
<v Speaker 1>But the problem is now where we're conflating investments and

0:17:58.200 --> 0:18:00.679
<v Speaker 1>expenses on the income statement and don't see that. We

0:18:00.760 --> 0:18:03.280
<v Speaker 1>can't unpack those things and just to just to jump

0:18:03.320 --> 0:18:07.320
<v Speaker 1>in places like Walmart and Home Depot and those just

0:18:07.600 --> 0:18:10.439
<v Speaker 1>they're buying land, they're putting up new stores, they're expanding,

0:18:10.760 --> 0:18:13.840
<v Speaker 1>so that sort of tangibles does show up on the

0:18:13.840 --> 0:18:15.760
<v Speaker 1>balance sheet, that's right, and that's the whole point. So

0:18:15.800 --> 0:18:18.720
<v Speaker 1>they're there. And by the way, even Walmart, Walmart for

0:18:18.760 --> 0:18:20.840
<v Speaker 1>sure was an early user of technology. Right. If you

0:18:20.880 --> 0:18:23.439
<v Speaker 1>read Sam Walton's book, which probably everybody should, it's a

0:18:23.480 --> 0:18:27.000
<v Speaker 1>fantastic I reread that memoir just last year. It's just awesome.

0:18:27.280 --> 0:18:29.800
<v Speaker 1>You know, they were early users of technology, so they

0:18:29.800 --> 0:18:32.800
<v Speaker 1>were early intangible users as well. But you're exactly right.

0:18:32.840 --> 0:18:36.359
<v Speaker 1>The vast majority of their investments were physical you can

0:18:36.400 --> 0:18:38.560
<v Speaker 1>you can kick it and so and so forth, whereas

0:18:38.560 --> 0:18:41.760
<v Speaker 1>other other companies that is not the case. So yes,

0:18:41.960 --> 0:18:44.040
<v Speaker 1>so that to me is a that's a watershed change,

0:18:44.040 --> 0:18:48.240
<v Speaker 1>and that's why earnings Again, if you're focusing on cash flow,

0:18:48.640 --> 0:18:51.840
<v Speaker 1>these things become much less important because we're getting to

0:18:51.880 --> 0:18:55.440
<v Speaker 1>the ultimate route. Answer. Uh, but if you're simply using

0:18:55.520 --> 0:18:57.920
<v Speaker 1>multiples or some sort of shorthands, you're gonna just miss

0:18:58.000 --> 0:19:01.359
<v Speaker 1>this very significant development. So so people love to point

0:19:01.400 --> 0:19:05.280
<v Speaker 1>out how expensive the stock market is and how pricey

0:19:05.320 --> 0:19:08.040
<v Speaker 1>that we used to call them fang but now with Facebook,

0:19:08.240 --> 0:19:10.800
<v Speaker 1>I don't know what the alt call it anymore. But um,

0:19:10.840 --> 0:19:14.680
<v Speaker 1>if we look at the top ten or twenty technology companies,

0:19:15.960 --> 0:19:18.600
<v Speaker 1>or or the top of the S and P five

0:19:18.680 --> 0:19:23.040
<v Speaker 1>hundred by market cap, those appear to be pricey. But

0:19:23.200 --> 0:19:27.959
<v Speaker 1>these are all companies that have massive investments and intangibles.

0:19:27.960 --> 0:19:32.000
<v Speaker 1>So it's Google, it's Apple, it's Netflix, it's Microsoft, it's Facebook.

0:19:32.280 --> 0:19:35.600
<v Speaker 1>Go down the list, it's in Vidio. All these companies

0:19:35.680 --> 0:19:39.400
<v Speaker 1>are They own software, they own patents, they own processes.

0:19:40.680 --> 0:19:45.240
<v Speaker 1>Does this imply that these pricey technology companies I left

0:19:45.240 --> 0:19:48.560
<v Speaker 1>out Tesla from the list. Are are these so called

0:19:48.600 --> 0:19:54.280
<v Speaker 1>pricey tech companies that have so much sunk into intangibles?

0:19:54.320 --> 0:19:58.400
<v Speaker 1>Are these perhaps less pricey than the average stock analysts

0:19:58.400 --> 0:20:01.119
<v Speaker 1>believes if you're using additional multiple as, you get a

0:20:01.160 --> 0:20:03.200
<v Speaker 1>very different picture. And you know, we recently wrote a

0:20:03.200 --> 0:20:06.960
<v Speaker 1>report called uh, it's called classifying for clarity, where we

0:20:07.040 --> 0:20:09.560
<v Speaker 1>talked about argue. We argued that certain things should be

0:20:09.600 --> 0:20:12.280
<v Speaker 1>restated in the statement of cash flows. And we use

0:20:12.320 --> 0:20:14.480
<v Speaker 1>as our case study Amazon dot Com. Right, so, one

0:20:14.480 --> 0:20:18.880
<v Speaker 1>of these companies and Amazon back, our calculation or our

0:20:19.080 --> 0:20:23.400
<v Speaker 1>estimate is at Amazon's intangible investments in or forty four

0:20:23.600 --> 0:20:28.800
<v Speaker 1>billion dollars and you, uh, they're if you amortize, if

0:20:28.800 --> 0:20:30.800
<v Speaker 1>you build old schedule and advertise it, it it still comes

0:20:30.800 --> 0:20:34.000
<v Speaker 1>out to nineteen billion dollars of net profit increase. Now,

0:20:34.280 --> 0:20:37.920
<v Speaker 1>Amazon's profits last year about twenty billion. So so just

0:20:38.480 --> 0:20:40.760
<v Speaker 1>if you accept as you doubled the profits right now,

0:20:40.800 --> 0:20:43.040
<v Speaker 1>if you know you we could quibble about the details

0:20:43.080 --> 0:20:46.000
<v Speaker 1>of that so and so worth, but basically that is no,

0:20:46.080 --> 0:20:50.159
<v Speaker 1>that's exactly right. And the IBADAT numbers don't quite double,

0:20:50.280 --> 0:20:53.200
<v Speaker 1>but they close to double. And so now the flip

0:20:53.240 --> 0:20:55.480
<v Speaker 1>side of all that, that's you know, the earnings are better,

0:20:55.520 --> 0:20:58.720
<v Speaker 1>but let's also recognize the investments are a lot higher

0:20:58.720 --> 0:21:02.120
<v Speaker 1>than what is reported to And so I always say

0:21:02.160 --> 0:21:04.760
<v Speaker 1>the job of an investors to understand the magnitude of

0:21:04.800 --> 0:21:07.800
<v Speaker 1>investments and the return on investments, to understand future profits

0:21:07.880 --> 0:21:10.639
<v Speaker 1>and so for a company like Amazon, they're earning a

0:21:10.680 --> 0:21:13.199
<v Speaker 1>lot more than people, at least what they seem to report,

0:21:13.240 --> 0:21:15.200
<v Speaker 1>but they're also investing a lot more. So you know,

0:21:15.240 --> 0:21:17.320
<v Speaker 1>there's still lots of judgment as to what those investments

0:21:17.320 --> 0:21:19.320
<v Speaker 1>will pay off and so and so forth. But you're

0:21:19.359 --> 0:21:24.320
<v Speaker 1>exactly right, it's a very distorted picture, you know, without commentary.

0:21:24.359 --> 0:21:25.800
<v Speaker 1>So this is the whole thing about you know, the

0:21:25.840 --> 0:21:28.800
<v Speaker 1>market used to trade at this multiple. You know, it's

0:21:28.920 --> 0:21:34.320
<v Speaker 1>just the underlying uh nature of our markets. Our businesses

0:21:34.320 --> 0:21:37.879
<v Speaker 1>are enterprises are so different today that I think that

0:21:37.920 --> 0:21:40.800
<v Speaker 1>those sort of comparisons seem to be very simplistic. And

0:21:40.840 --> 0:21:43.520
<v Speaker 1>then just throw in the whole interest rate thing as

0:21:43.560 --> 0:21:47.399
<v Speaker 1>another curveball to how do you calculate cause the capital

0:21:47.440 --> 0:21:51.679
<v Speaker 1>is so cheap, does that artificially does that artificially enhanced

0:21:51.680 --> 0:21:55.800
<v Speaker 1>ownings or our companies taking advantage of that. It's it's

0:21:55.880 --> 0:21:59.280
<v Speaker 1>not a one off. Oh look, capital is cheap, therefore

0:21:59.320 --> 0:22:04.360
<v Speaker 1>ownings are fire. It's our money is free, our companies

0:22:04.400 --> 0:22:08.920
<v Speaker 1>opportunistically taking advantage of that window when it presents itself. Right,

0:22:08.960 --> 0:22:13.320
<v Speaker 1>I don't if that's a common But on a related

0:22:13.359 --> 0:22:16.480
<v Speaker 1>note to the intangible, it's just popped into my head. Um.

0:22:16.560 --> 0:22:19.560
<v Speaker 1>Joe Davis, who is the chief economist at Vanguard, did

0:22:19.600 --> 0:22:21.600
<v Speaker 1>a research paper I don't know a year or two

0:22:21.640 --> 0:22:26.399
<v Speaker 1>ago discussing the rise of intangibles as a predictor of

0:22:26.480 --> 0:22:29.560
<v Speaker 1>which regions around the world, Which countries around the world

0:22:29.960 --> 0:22:33.119
<v Speaker 1>our prime for growth. When you start to see patents

0:22:33.320 --> 0:22:38.520
<v Speaker 1>and software processes and copyrights expand in a given nation,

0:22:39.040 --> 0:22:41.960
<v Speaker 1>you should expect their GDP and their stock market to

0:22:42.119 --> 0:22:46.560
<v Speaker 1>subsequently respond to that, usually uh, in a positive correlation.

0:22:46.920 --> 0:22:48.480
<v Speaker 1>I mean, I'd love to see that. It makes sense,

0:22:48.520 --> 0:22:50.320
<v Speaker 1>it makes complete sense to me. And again, it's just

0:22:50.440 --> 0:22:53.320
<v Speaker 1>another indication of how things have changed. Right Whereas we

0:22:53.359 --> 0:22:55.960
<v Speaker 1>may have said a generation or two before, if those

0:22:56.000 --> 0:22:59.320
<v Speaker 1>factories are popping up and those good blue color jobs

0:22:59.400 --> 0:23:01.760
<v Speaker 1>right now, you're something different is sort of a leading

0:23:01.760 --> 0:23:04.439
<v Speaker 1>indicator of future wealth creat That's right. If you have

0:23:04.480 --> 0:23:07.960
<v Speaker 1>a bunch of coders showing up in a particular area,

0:23:08.080 --> 0:23:10.840
<v Speaker 1>that might mean something positive for for the economy and

0:23:10.840 --> 0:23:13.359
<v Speaker 1>for that stock market. So so let's bring this back

0:23:13.400 --> 0:23:17.119
<v Speaker 1>to trying to figure out value. What do earnings actually

0:23:17.119 --> 0:23:20.560
<v Speaker 1>tell us about a company's value? Well, I mean, earnings

0:23:20.560 --> 0:23:23.240
<v Speaker 1>are just part of the equation, right, and so Uh.

0:23:23.640 --> 0:23:26.000
<v Speaker 1>We argue very early on the book that earnings telling

0:23:26.000 --> 0:23:28.480
<v Speaker 1>you very little. In fact, the appendix to chapter one

0:23:28.520 --> 0:23:32.920
<v Speaker 1>shows again that earnings by themselves do not even tell

0:23:32.920 --> 0:23:36.800
<v Speaker 1>you about value or value creation. So the what we

0:23:36.920 --> 0:23:39.200
<v Speaker 1>focus on is a very standard finance way to think

0:23:39.200 --> 0:23:41.600
<v Speaker 1>about this, which is free cash flow. And free cash

0:23:41.640 --> 0:23:44.760
<v Speaker 1>flow is the pool available pool of capital available to

0:23:44.800 --> 0:23:47.440
<v Speaker 1>all capital providers. You know, bury besides doing all the

0:23:47.440 --> 0:23:49.320
<v Speaker 1>stuff you do, you're a business owner, so you know

0:23:49.400 --> 0:23:51.480
<v Speaker 1>exactly how this. You have money coming in and money

0:23:51.480 --> 0:23:53.239
<v Speaker 1>going out, and you sort of know how you have

0:23:53.320 --> 0:23:55.120
<v Speaker 1>to think about this kind of stuff. We just roll

0:23:55.160 --> 0:23:58.399
<v Speaker 1>all our cash into uh, you know, shibu imu and

0:23:59.440 --> 0:24:01.879
<v Speaker 1>exactly dol coins and we just let it roll. So

0:24:01.920 --> 0:24:05.159
<v Speaker 1>we're that's it's been. It's been speculative, but it's been

0:24:05.160 --> 0:24:07.280
<v Speaker 1>working out. It's been working out great. And that's the

0:24:07.520 --> 0:24:12.520
<v Speaker 1>deep value analysis on that one. And so yeah, so um.

0:24:12.640 --> 0:24:16.879
<v Speaker 1>The so free cash flow is basically net operating profit

0:24:16.920 --> 0:24:19.640
<v Speaker 1>after taxes, which is a rough measure of earnings. Right,

0:24:19.640 --> 0:24:21.840
<v Speaker 1>it's a little bit more formal, but rough measure of earnings.

0:24:21.920 --> 0:24:26.399
<v Speaker 1>Net operating profits after taxes, and the key to net

0:24:26.400 --> 0:24:28.560
<v Speaker 1>this in the acronym is no pad. The key to

0:24:28.680 --> 0:24:32.480
<v Speaker 1>notepad is that it's the unlevered cash earnings of a business.

0:24:32.480 --> 0:24:35.600
<v Speaker 1>So unlevered means there's no reckoning for financial leverage at

0:24:35.640 --> 0:24:38.040
<v Speaker 1>this point. And it's cash earnings, right, so you're taking

0:24:38.080 --> 0:24:40.280
<v Speaker 1>out all the cash counts and that's a beautiful number

0:24:40.320 --> 0:24:42.760
<v Speaker 1>to know. And then investment is all the investments of

0:24:42.760 --> 0:24:45.399
<v Speaker 1>the company needs to make, including working capital changes and

0:24:45.480 --> 0:24:47.840
<v Speaker 1>cap backs and so on so forth. So so free

0:24:47.840 --> 0:24:50.199
<v Speaker 1>cash flow sort of the bottom line number. And by

0:24:50.240 --> 0:24:53.320
<v Speaker 1>the way, even when we make adjustments to intangibles, what

0:24:53.400 --> 0:24:56.119
<v Speaker 1>we're doing is essentially making earnings higher, no PAD higher,

0:24:56.119 --> 0:24:58.720
<v Speaker 1>and we're making investments higher. Free cash flow sort of

0:24:58.720 --> 0:25:01.760
<v Speaker 1>the bottom line that does and change, and that's the

0:25:01.840 --> 0:25:03.240
<v Speaker 1>number we try to keep our eye on. So you

0:25:03.280 --> 0:25:05.520
<v Speaker 1>remember your high school basketball coach, I keep your eye

0:25:05.520 --> 0:25:07.440
<v Speaker 1>on the hips, right, because everything's gonna follow the hips.

0:25:07.680 --> 0:25:10.000
<v Speaker 1>That is the hips of finance, right, which is free

0:25:10.040 --> 0:25:11.800
<v Speaker 1>cash flow. That's the number you want to keep your

0:25:11.800 --> 0:25:15.520
<v Speaker 1>eye on. So Howard Marks is fond of discussing second

0:25:15.600 --> 0:25:18.960
<v Speaker 1>level thinking, and so what I'm hearing from you is

0:25:19.080 --> 0:25:23.720
<v Speaker 1>that just looking at earnings or pe multiples is first

0:25:23.800 --> 0:25:27.240
<v Speaker 1>level thinking and second level thinking is putting this into

0:25:27.320 --> 0:25:31.160
<v Speaker 1>the broader context of earnings relatives to free cash flow

0:25:31.280 --> 0:25:35.840
<v Speaker 1>relative to intangibles and growth, Is that like a wild

0:25:35.920 --> 0:25:38.360
<v Speaker 1>overstatement or no, not at all. I mean I think

0:25:38.359 --> 0:25:41.400
<v Speaker 1>that the answer is the way I might say this differently,

0:25:41.480 --> 0:25:43.080
<v Speaker 1>is it free cash flow is the ultimate thing that

0:25:43.119 --> 0:25:45.560
<v Speaker 1>we care about. All the other stuff you just mentioned

0:25:45.680 --> 0:25:47.679
<v Speaker 1>terms of earnings and multiples and so forth, those are

0:25:47.680 --> 0:25:50.800
<v Speaker 1>all proxies that try to get to the same things.

0:25:50.800 --> 0:25:53.240
<v Speaker 1>So they're short of shorthands, right, And by the way,

0:25:53.280 --> 0:25:55.200
<v Speaker 1>I mean you've had you've had the great Danny Knemon

0:25:55.320 --> 0:25:58.720
<v Speaker 1>with you. Right. What's good about shorthands? What's good about

0:25:58.720 --> 0:26:01.320
<v Speaker 1>heuristics as they save your time? Right, So that's why

0:26:01.359 --> 0:26:04.840
<v Speaker 1>they're useful, and that's why we use them. What's limiting

0:26:04.880 --> 0:26:08.639
<v Speaker 1>about heuristics or shorthand as they have biases? Right, And

0:26:08.720 --> 0:26:10.800
<v Speaker 1>so the key is not to the key is not

0:26:10.840 --> 0:26:12.960
<v Speaker 1>to never use them, the keys to understand where their

0:26:13.000 --> 0:26:16.520
<v Speaker 1>limitations lie. And I think that's where people get a

0:26:16.560 --> 0:26:18.240
<v Speaker 1>little bit can be a little bit lazy around the

0:26:18.320 --> 0:26:20.320
<v Speaker 1>edges and just sort of say like it's this thing

0:26:20.359 --> 0:26:22.440
<v Speaker 1>has always traded at twenty times this, and so it

0:26:22.440 --> 0:26:25.040
<v Speaker 1>should be twenty times that's not really you want to

0:26:25.400 --> 0:26:28.480
<v Speaker 1>go back to the core, the core ideas. So so

0:26:28.560 --> 0:26:32.240
<v Speaker 1>here's the pushback that I think we would get from

0:26:32.280 --> 0:26:37.240
<v Speaker 1>a Robin Hood trader today who is looking at their

0:26:37.240 --> 0:26:39.360
<v Speaker 1>portfolio over the past couple of years. They would say

0:26:39.400 --> 0:26:44.439
<v Speaker 1>something like, hey, this sophistic hidden analysis is interesting, but

0:26:44.920 --> 0:26:48.040
<v Speaker 1>I haven't been using second level thinking. I've been picking

0:26:48.480 --> 0:26:51.680
<v Speaker 1>the fastest horse the past couple of years without looking

0:26:51.680 --> 0:26:54.440
<v Speaker 1>at the odds, without looking at anything else, and that's

0:26:54.440 --> 0:26:56.960
<v Speaker 1>been working out. And I joke about dose coins and

0:26:57.000 --> 0:27:00.600
<v Speaker 1>things like that, but if you bought the fair this back,

0:27:00.800 --> 0:27:07.480
<v Speaker 1>the fastest tech ev company, the fastest uh crypto coin,

0:27:07.560 --> 0:27:11.160
<v Speaker 1>it didn't matter. Momentum seems to be driving those fast

0:27:11.200 --> 0:27:14.240
<v Speaker 1>horses the highest. How do you respond to that sort

0:27:14.280 --> 0:27:17.120
<v Speaker 1>of of pushback, Well, they're there's sort of two levels

0:27:17.160 --> 0:27:20.119
<v Speaker 1>of comments. One is, UM, I think it's important. I'm

0:27:20.119 --> 0:27:22.679
<v Speaker 1>gonna sound like an old, an old fogi here, but

0:27:22.840 --> 0:27:25.560
<v Speaker 1>I think it's important to make a distinction between speculating

0:27:25.640 --> 0:27:28.840
<v Speaker 1>and investing. And um, by the way, and this is

0:27:28.880 --> 0:27:31.159
<v Speaker 1>without any sort of moral judgment. So this is just

0:27:31.240 --> 0:27:33.800
<v Speaker 1>you know, it's trying to make this demarcation without judgment,

0:27:33.920 --> 0:27:36.480
<v Speaker 1>right A speculator or someone who buys something in the

0:27:36.520 --> 0:27:39.920
<v Speaker 1>hope that it goes up. Uh an investor someone who

0:27:39.960 --> 0:27:42.879
<v Speaker 1>buys a partial stake in a business. Right, it's a

0:27:43.000 --> 0:27:45.680
<v Speaker 1>very different mindset. And so if the markets shut shut

0:27:45.720 --> 0:27:48.000
<v Speaker 1>down for three months, three years or whatever, you wouldn't

0:27:48.000 --> 0:27:50.239
<v Speaker 1>care because your own part of a business. Right. So

0:27:50.280 --> 0:27:52.720
<v Speaker 1>this is almost again the Barry Berry is the investor

0:27:53.040 --> 0:27:55.639
<v Speaker 1>and versus Barry as a proprietor of a business. Right

0:27:55.680 --> 0:27:57.280
<v Speaker 1>you think about the value of the business. It's a

0:27:57.400 --> 0:28:00.640
<v Speaker 1>very different as you know, it's a very different mindset. Now,

0:28:00.680 --> 0:28:03.000
<v Speaker 1>when I peer out of the world today, I guess

0:28:03.000 --> 0:28:04.560
<v Speaker 1>I would actually think that I sort of think of

0:28:04.600 --> 0:28:06.840
<v Speaker 1>the world in sort of three different buckets. The first

0:28:06.840 --> 0:28:09.280
<v Speaker 1>bucket is sort of the normal bucket, where I think that,

0:28:09.359 --> 0:28:12.000
<v Speaker 1>notwithstanding we have some obviously a little bit of zany stuff,

0:28:12.160 --> 0:28:14.720
<v Speaker 1>most of the stuff out there is pretty pretty solid, right,

0:28:14.760 --> 0:28:17.720
<v Speaker 1>like pretty normal. And then the second bucket might be

0:28:18.000 --> 0:28:20.200
<v Speaker 1>you know, where I put things like the meme stocks

0:28:20.200 --> 0:28:23.080
<v Speaker 1>and so forth. These are be sort of the momentum.

0:28:23.160 --> 0:28:25.800
<v Speaker 1>And you know, in our language we call these sort

0:28:25.800 --> 0:28:29.959
<v Speaker 1>of diversity breakdowns. People correlate their behaviors in certain ways

0:28:30.600 --> 0:28:32.439
<v Speaker 1>and by the way, there's there's some language in the

0:28:32.440 --> 0:28:35.040
<v Speaker 1>book that helps talk about these things like reflexivity and

0:28:35.080 --> 0:28:36.800
<v Speaker 1>so forth. You know, so this would be the game

0:28:36.840 --> 0:28:38.960
<v Speaker 1>stops of the world in a MCS and so forth.

0:28:39.240 --> 0:28:40.920
<v Speaker 1>And by the way, many of these companies have actually

0:28:41.000 --> 0:28:44.320
<v Speaker 1>done very sensible things, which is they've they've sold, they've

0:28:44.360 --> 0:28:47.200
<v Speaker 1>sold raised capital, which by the way, increases the intrinsic

0:28:47.280 --> 0:28:51.160
<v Speaker 1>value of the per share owners for ongoing holders. And

0:28:51.200 --> 0:28:57.640
<v Speaker 1>then the third area is um cryptos decentralized finance. Part

0:28:57.680 --> 0:28:59.200
<v Speaker 1>of what I think is going on with the electric

0:28:59.240 --> 0:29:02.920
<v Speaker 1>electric vehicle market and so forth, and there's a very there.

0:29:02.960 --> 0:29:05.560
<v Speaker 1>I think what we're seeing is a very very old

0:29:05.800 --> 0:29:10.320
<v Speaker 1>and very well known pattern, which is, as new industries

0:29:10.480 --> 0:29:14.360
<v Speaker 1>develop the very common patterns, you see a huge upswing

0:29:14.360 --> 0:29:18.040
<v Speaker 1>in the number of participants and really experiments. So it's

0:29:18.120 --> 0:29:21.640
<v Speaker 1>lots of new entrants, lots of money flows in, lots

0:29:21.680 --> 0:29:24.960
<v Speaker 1>of people trying out weird and wacky stuff. By the way,

0:29:25.000 --> 0:29:27.000
<v Speaker 1>it wasn't that long ago, Barry, you remember this and

0:29:27.040 --> 0:29:30.320
<v Speaker 1>the dot com the same kind of thing, right, and

0:29:30.360 --> 0:29:32.880
<v Speaker 1>you know, people go this is all crazy and wasteful, right, Okay.

0:29:32.920 --> 0:29:36.400
<v Speaker 1>What happens is then eventually the market sorts this out

0:29:36.440 --> 0:29:39.560
<v Speaker 1>almost think of it as a Darwinian process, and then

0:29:39.640 --> 0:29:42.080
<v Speaker 1>you have the come down the back end. So there's

0:29:42.080 --> 0:29:45.280
<v Speaker 1>a lot of exit through companies going bankrupt or consolidation

0:29:45.360 --> 0:29:48.280
<v Speaker 1>and so so for the market determines what is legitimate

0:29:48.320 --> 0:29:50.840
<v Speaker 1>what is not, and lots of things go to zero.

0:29:50.920 --> 0:29:53.480
<v Speaker 1>But at the end of it, what what distills out

0:29:53.720 --> 0:29:57.160
<v Speaker 1>is something new and something important. So until and this

0:29:57.240 --> 0:29:59.720
<v Speaker 1>is sort of standard setting as well. So I think

0:29:59.760 --> 0:30:02.200
<v Speaker 1>that a good example. What's going on crypto. I mean

0:30:02.960 --> 0:30:06.480
<v Speaker 1>to me, that whole complex something that's very real. It's

0:30:06.480 --> 0:30:09.680
<v Speaker 1>gonna be It's gonna be with us. Um, much of

0:30:09.720 --> 0:30:11.960
<v Speaker 1>what's going on out there is not going to survive,

0:30:12.080 --> 0:30:14.239
<v Speaker 1>but there will be things that survive and will be

0:30:14.280 --> 0:30:18.680
<v Speaker 1>making important contributions to our economy. You're about to say something, well,

0:30:18.760 --> 0:30:21.080
<v Speaker 1>I was gonna I just wanted to put into context

0:30:21.120 --> 0:30:25.000
<v Speaker 1>because you biased the audience like pulling yourself an old

0:30:25.000 --> 0:30:29.240
<v Speaker 1>fog and referencing the dot coms. But if you look

0:30:29.280 --> 0:30:32.120
<v Speaker 1>at the history of bubbles, and I don't mean that

0:30:32.200 --> 0:30:34.959
<v Speaker 1>in a negative way. In fact, um Dan Gross had

0:30:35.000 --> 0:30:38.480
<v Speaker 1>a great book pop Why Bubbles Are Great for the economy.

0:30:38.760 --> 0:30:42.239
<v Speaker 1>You can look at telegraphs and railroads and automobiles and

0:30:42.320 --> 0:30:46.000
<v Speaker 1>televisions and computers and fiber optic can go through every

0:30:46.000 --> 0:30:49.280
<v Speaker 1>one of these technological innovations and they all follow that

0:30:49.360 --> 0:30:54.480
<v Speaker 1>exact path. There's this Cambrian explosion of experimentation. Lots of companies,

0:30:54.640 --> 0:30:58.080
<v Speaker 1>most of which don't survive, but the ones that come

0:30:58.080 --> 0:31:01.960
<v Speaker 1>out of it are our game changes really move the needle, right,

0:31:02.240 --> 0:31:04.280
<v Speaker 1>and we and the and the point being we don't

0:31:04.600 --> 0:31:08.440
<v Speaker 1>know a priori which ones are going to succeed or fail, right,

0:31:08.440 --> 0:31:10.640
<v Speaker 1>it gets sorted out. It's a sort of a big,

0:31:10.680 --> 0:31:14.600
<v Speaker 1>messy sorting out process. So so I think that's a

0:31:14.640 --> 0:31:16.400
<v Speaker 1>little bit of that's a big part of what's going on.

0:31:16.440 --> 0:31:19.640
<v Speaker 1>So things like I mean, electric vehicles, this is this

0:31:19.720 --> 0:31:22.320
<v Speaker 1>is like the canonical example of how this works, right,

0:31:22.360 --> 0:31:24.560
<v Speaker 1>And you know, the main academic on this, I know,

0:31:24.680 --> 0:31:27.120
<v Speaker 1>Dance book is actually really good book and an interesting one,

0:31:27.160 --> 0:31:29.560
<v Speaker 1>but you know, sort of the canonical the main the

0:31:29.600 --> 0:31:32.520
<v Speaker 1>main academic on this a guy named Stephen Clepper who

0:31:32.600 --> 0:31:35.400
<v Speaker 1>was a professor at Carnegie Mellon. And Clepper has wrote

0:31:35.520 --> 0:31:37.880
<v Speaker 1>very seriously about this and documented, as you point out,

0:31:37.920 --> 0:31:41.760
<v Speaker 1>all these these basics. So it's the flow of of talent,

0:31:41.960 --> 0:31:45.560
<v Speaker 1>it's the flow of money. It's the flow of entrepreneurs

0:31:45.920 --> 0:31:48.440
<v Speaker 1>to try to solve problems with some new tools at

0:31:48.440 --> 0:31:51.920
<v Speaker 1>their disposal, not knowing in advance what's going to work.

0:31:52.240 --> 0:31:54.200
<v Speaker 1>By the way, I mean this is now will nerd

0:31:54.240 --> 0:31:57.120
<v Speaker 1>out for just one second. I the first time I

0:31:57.120 --> 0:31:59.560
<v Speaker 1>ever wrote about this, it was in actually the context

0:31:59.600 --> 0:32:02.280
<v Speaker 1>of ners old development of children. And it turns out

0:32:02.320 --> 0:32:04.320
<v Speaker 1>that like the number of neurons in your brain actually

0:32:04.320 --> 0:32:07.720
<v Speaker 1>don't change that much through your life. What changes radically

0:32:07.760 --> 0:32:10.720
<v Speaker 1>is a number of synaptic connections between their the neurons.

0:32:10.760 --> 0:32:12.400
<v Speaker 1>And so from the time you're borns some time you're

0:32:12.400 --> 0:32:14.840
<v Speaker 1>about two or three years old, there's this huge upswing

0:32:14.840 --> 0:32:17.560
<v Speaker 1>and synaptic connections. So a three year old, if you've

0:32:17.560 --> 0:32:20.320
<v Speaker 1>ever met them, you know they're not super efficient machines,

0:32:20.440 --> 0:32:23.280
<v Speaker 1>but they're they're really open to the world, so learning

0:32:23.360 --> 0:32:25.400
<v Speaker 1>language is a lot. They're very curious about the world

0:32:25.440 --> 0:32:27.320
<v Speaker 1>and so and so forth. But they're inefficient. And so

0:32:27.400 --> 0:32:29.760
<v Speaker 1>what happens then is this it's called the heavy and process.

0:32:29.800 --> 0:32:32.080
<v Speaker 1>You use it or lose it. If the connection works,

0:32:32.120 --> 0:32:34.000
<v Speaker 1>you use it, and if it doesn't, it gets pruned

0:32:34.040 --> 0:32:38.080
<v Speaker 1>away and you have this massive reduction number of synaptic connections.

0:32:38.080 --> 0:32:40.280
<v Speaker 1>So scientists were interested in this there, you know, so

0:32:40.320 --> 0:32:42.480
<v Speaker 1>they documented this whole process. They're like, well, this is

0:32:42.520 --> 0:32:44.640
<v Speaker 1>kind of weird though, right, because the brain is a

0:32:44.760 --> 0:32:47.680
<v Speaker 1>very costly mechanism. You know, it's twenty of your energy

0:32:47.800 --> 0:32:50.360
<v Speaker 1>usage and this big thing on top of your head,

0:32:50.400 --> 0:32:52.600
<v Speaker 1>and you're vulnerable and so and so forth. And it

0:32:52.680 --> 0:32:54.880
<v Speaker 1>turns out that they sort of simulated this, and it

0:32:54.920 --> 0:32:57.440
<v Speaker 1>turns out this idea of trying things out and then

0:32:57.520 --> 0:33:00.440
<v Speaker 1>winnowing is one of the best ways to learn about

0:33:00.480 --> 0:33:03.880
<v Speaker 1>an environment, Isn't that cool? Right? So in a sense,

0:33:03.920 --> 0:33:07.120
<v Speaker 1>what we're doing is these are these these Cambrian explosions.

0:33:07.160 --> 0:33:12.080
<v Speaker 1>You described our methods financial and technological and entrepreneurial methods

0:33:12.240 --> 0:33:15.240
<v Speaker 1>to learn about the world and figure out what works. So,

0:33:15.240 --> 0:33:17.840
<v Speaker 1>so two comments on your nerd ing out, which I'm

0:33:17.880 --> 0:33:22.760
<v Speaker 1>totally loving. First, if you haven't seen American Utopia David

0:33:22.760 --> 0:33:26.200
<v Speaker 1>Burns play, it actually starts out with that exact discussion

0:33:26.400 --> 0:33:31.000
<v Speaker 1>of the the childhood, the infant brain making all these

0:33:31.000 --> 0:33:34.760
<v Speaker 1>synaptic connections and then just letting a trophy that which

0:33:34.800 --> 0:33:37.440
<v Speaker 1>doesn't work. And so what you're left with is a

0:33:37.560 --> 0:33:41.200
<v Speaker 1>very efficient set of things that the brain knows actually

0:33:41.640 --> 0:33:45.720
<v Speaker 1>are successful connections. But second, there's a fascinating book which

0:33:45.880 --> 0:33:48.840
<v Speaker 1>you and I may have spoken about previously, called The

0:33:49.000 --> 0:33:53.840
<v Speaker 1>Last Ape Standing, and it talks about how Homo sapiens

0:33:54.560 --> 0:33:57.840
<v Speaker 1>came very close to not surviving the Last Ice Age

0:33:58.360 --> 0:34:04.040
<v Speaker 1>because of how energy intensive the brain is and what

0:34:04.280 --> 0:34:08.759
<v Speaker 1>works really well in most environments doesn't work in a

0:34:09.000 --> 0:34:13.200
<v Speaker 1>in a resource poor environment, and the Ice Age turned

0:34:13.200 --> 0:34:15.759
<v Speaker 1>out to be a very research poor so that the

0:34:15.840 --> 0:34:18.560
<v Speaker 1>book kind of says, hey, we were not We were

0:34:18.600 --> 0:34:22.719
<v Speaker 1>down to about ten thousand Homo sapiens a couple more

0:34:22.840 --> 0:34:27.960
<v Speaker 1>years of bad climate, and you know this might be uh,

0:34:28.400 --> 0:34:32.000
<v Speaker 1>this might be in neanderthal world, not not a human world,

0:34:32.000 --> 0:34:34.719
<v Speaker 1>which is kind of kind of interesting. Um, so we

0:34:34.760 --> 0:34:37.000
<v Speaker 1>could we could walk out about a bunch of other stuff.

0:34:37.000 --> 0:34:40.359
<v Speaker 1>But I want to bring it back to to um

0:34:40.480 --> 0:34:43.000
<v Speaker 1>earnings and value. One of the things in the book

0:34:43.040 --> 0:34:48.640
<v Speaker 1>you talk about is investors believe price earnings multiple determined value.

0:34:49.120 --> 0:34:52.800
<v Speaker 1>But you argue that sort of backwards price earning multiples

0:34:52.840 --> 0:34:55.800
<v Speaker 1>are a function of value. Am I Am I getting

0:34:55.800 --> 0:34:57.719
<v Speaker 1>that right? Yeah? I mean you are if you think

0:34:57.719 --> 0:35:01.000
<v Speaker 1>about it. I mean the formulation is the um E

0:35:01.640 --> 0:35:06.640
<v Speaker 1>times PE equals p right, right, And so what you're

0:35:06.680 --> 0:35:09.759
<v Speaker 1>saying is, in order to forecast price, you need to

0:35:09.760 --> 0:35:11.960
<v Speaker 1>know the price of which is the numerator of the

0:35:12.000 --> 0:35:13.759
<v Speaker 1>pe right. So in a sense there's a bit of

0:35:13.760 --> 0:35:16.879
<v Speaker 1>a circular argument. So um, I mean, I don't want

0:35:16.880 --> 0:35:18.680
<v Speaker 1>to dwell too much on that. We've beaten up a

0:35:18.719 --> 0:35:22.719
<v Speaker 1>little enough on multiples. But the point being again, multiples

0:35:22.840 --> 0:35:28.160
<v Speaker 1>are are not valuation their shorthand for the valuation process

0:35:28.800 --> 0:35:31.600
<v Speaker 1>and with that shorthand or all the good things about

0:35:31.600 --> 0:35:34.000
<v Speaker 1>saving time and with that shorthand or all the bad

0:35:34.040 --> 0:35:37.799
<v Speaker 1>things about limitations and biases and blind spots. And so

0:35:38.280 --> 0:35:40.759
<v Speaker 1>if you do not, if you are not aware of

0:35:40.800 --> 0:35:43.680
<v Speaker 1>those limitations and blind spots, you're going to be I

0:35:43.719 --> 0:35:48.720
<v Speaker 1>think ill served by using simplistic measures. Quite interesting, Let's

0:35:48.760 --> 0:35:51.799
<v Speaker 1>talk a little bit about modeling, and you use a

0:35:51.880 --> 0:35:55.799
<v Speaker 1>number of examples in the book. Companies like Shopify and

0:35:55.920 --> 0:36:00.399
<v Speaker 1>Dominoes couldn't be more different, but they each present a

0:36:00.480 --> 0:36:05.600
<v Speaker 1>challenge to traditional analysts ability to understand the business and

0:36:05.640 --> 0:36:11.840
<v Speaker 1>forecast using old approaches. Both companies have been incredible performers.

0:36:11.840 --> 0:36:15.520
<v Speaker 1>People don't realize Domino's is one of the best performers

0:36:15.520 --> 0:36:18.000
<v Speaker 1>of the past twenty years, if not the best, it

0:36:18.040 --> 0:36:21.160
<v Speaker 1>depends on where everything closes by the time people hear this.

0:36:21.280 --> 0:36:25.360
<v Speaker 1>But right, Domino's top five, maybe even highest performer in

0:36:25.400 --> 0:36:27.799
<v Speaker 1>the past twenty years, is that right? Actually don't know that,

0:36:27.800 --> 0:36:29.239
<v Speaker 1>but yeah, that sounds right. It's a great it's an

0:36:29.239 --> 0:36:32.640
<v Speaker 1>amazing business. So so let's talk about how do you

0:36:32.760 --> 0:36:35.680
<v Speaker 1>model these in a way that gives you a better

0:36:35.800 --> 0:36:40.040
<v Speaker 1>insight into their future prospects? And what's the difference between

0:36:40.800 --> 0:36:45.200
<v Speaker 1>expectations investing and the traditional way analysts have been modeling these? Right,

0:36:45.320 --> 0:36:47.080
<v Speaker 1>so maybe we should take those will take those in

0:36:47.080 --> 0:36:49.480
<v Speaker 1>turn because they're slightly different flavors of what we're trying

0:36:49.520 --> 0:36:52.160
<v Speaker 1>to do. So Domino's Pizza was the case study. So

0:36:52.239 --> 0:36:54.279
<v Speaker 1>the key is that when we go through the expectations

0:36:54.280 --> 0:36:58.440
<v Speaker 1>investing process, understanding price and pliant expectations step one. Step

0:36:58.480 --> 0:37:01.200
<v Speaker 1>two is doing strategic and finance analysis. Step three is

0:37:01.200 --> 0:37:04.239
<v Speaker 1>making buying cell decisions. It's really nice to have a

0:37:04.360 --> 0:37:08.359
<v Speaker 1>case study to make it concrete. Now. Um, the case

0:37:08.400 --> 0:37:14.319
<v Speaker 1>study for the original book was Gateway two thousands, which

0:37:14.440 --> 0:37:19.840
<v Speaker 1>lasted for like three years after the boxes that were directed.

0:37:20.640 --> 0:37:23.640
<v Speaker 1>Seemed like a good idea at the time. It was

0:37:23.719 --> 0:37:29.040
<v Speaker 1>called so anyway, um, that's execution risk gateway and Dell

0:37:29.120 --> 0:37:32.759
<v Speaker 1>had similar models. Dell just executed, they did, they did,

0:37:32.800 --> 0:37:35.680
<v Speaker 1>and so so the idea, so the truth of the

0:37:35.719 --> 0:37:38.320
<v Speaker 1>matter is very like, this is how the smoke filled rooms,

0:37:38.320 --> 0:37:41.320
<v Speaker 1>how decisions get made. We're like, let's find a business

0:37:41.440 --> 0:37:44.440
<v Speaker 1>that's pretty straightforward to understand that we hope will be

0:37:44.480 --> 0:37:47.239
<v Speaker 1>around for a while, right, and if they leave it'll

0:37:47.239 --> 0:37:49.080
<v Speaker 1>be for reasons like they get bought out or so

0:37:49.600 --> 0:37:53.120
<v Speaker 1>pizza pretty understanding. So so the nature of the business

0:37:53.200 --> 0:37:56.399
<v Speaker 1>is pretty understandable, and it is a franchise business. It's

0:37:56.400 --> 0:37:58.680
<v Speaker 1>a it is a very beautiful business, and it's a

0:37:58.760 --> 0:38:04.160
<v Speaker 1>nice business to explaining. Also strategically, because they made they

0:38:04.200 --> 0:38:07.080
<v Speaker 1>have another they made a number of strategic decisions along

0:38:07.120 --> 0:38:09.879
<v Speaker 1>the way that allow us to explain why their their

0:38:09.880 --> 0:38:12.520
<v Speaker 1>business has been good in their strategic behaviors. And and

0:38:12.560 --> 0:38:15.480
<v Speaker 1>by the way, strategy often boils down to things like

0:38:15.920 --> 0:38:17.880
<v Speaker 1>it boils down to trade offs. And one of the

0:38:17.880 --> 0:38:21.200
<v Speaker 1>big tradeoffs that Domino's made early on which they were

0:38:21.200 --> 0:38:23.040
<v Speaker 1>took to they've been taken a task from from time

0:38:23.040 --> 0:38:24.840
<v Speaker 1>to time is that you don't eat there, right, you

0:38:24.840 --> 0:38:28.560
<v Speaker 1>don't go to Domino's two. I mean, there's there's some

0:38:28.640 --> 0:38:30.520
<v Speaker 1>there's some minor exceptions to that, but that's for the

0:38:30.560 --> 0:38:33.600
<v Speaker 1>most part true. And so what are the upsides and

0:38:33.640 --> 0:38:36.960
<v Speaker 1>downsides to that basic thing? So Domino's was, and and

0:38:37.000 --> 0:38:41.240
<v Speaker 1>again they are. They are a very uh intangible intensive

0:38:41.280 --> 0:38:45.200
<v Speaker 1>business in the sense that the business we're looking at

0:38:45.280 --> 0:38:48.239
<v Speaker 1>is the owns the essentially is the franchise or right,

0:38:48.280 --> 0:38:50.880
<v Speaker 1>so they own all these things and their their primary

0:38:50.880 --> 0:38:54.279
<v Speaker 1>function is basically to get ingredients and boxes to the

0:38:54.320 --> 0:38:57.880
<v Speaker 1>different franchisees and then to advertise for everybody. So essentially

0:38:57.880 --> 0:39:02.080
<v Speaker 1>they're an advertising machine and that's what they do. Um

0:39:02.120 --> 0:39:05.800
<v Speaker 1>it sounds like a lot of brands, marketing special not

0:39:06.120 --> 0:39:08.960
<v Speaker 1>specialty know how, a lot of intangibles, and a lot

0:39:09.000 --> 0:39:11.160
<v Speaker 1>of technology. So the the other thing is they're very

0:39:11.160 --> 0:39:13.759
<v Speaker 1>good at technology and have always been very good at technology.

0:39:13.840 --> 0:39:16.600
<v Speaker 1>So for instance, if I can help my franchise the

0:39:17.000 --> 0:39:21.319
<v Speaker 1>understand their labor demands, their product demands, if I can

0:39:21.360 --> 0:39:23.480
<v Speaker 1>make things uniform, in fact, they do a lot of

0:39:23.600 --> 0:39:26.839
<v Speaker 1>stuff that everything becomes very uniform in the kitchen. That

0:39:27.000 --> 0:39:30.759
<v Speaker 1>allows for them to deliver efficiently, to work the work

0:39:30.800 --> 0:39:33.439
<v Speaker 1>the kitchen, fit, to hire people efficiently, all those kinds

0:39:33.440 --> 0:39:36.360
<v Speaker 1>of things, and those are those are really difficult advantages

0:39:36.600 --> 0:39:39.680
<v Speaker 1>to to take away. And then they've been digital early,

0:39:39.719 --> 0:39:41.839
<v Speaker 1>so what you know, ordering online, so and so forth.

0:39:42.719 --> 0:39:45.520
<v Speaker 1>The second example is Shopify, and that's a little bit

0:39:45.520 --> 0:39:48.120
<v Speaker 1>of a different thing. So we have a chapter dedicated

0:39:48.200 --> 0:39:51.759
<v Speaker 1>to US chapter eight, and it was called beyond discounted

0:39:51.800 --> 0:39:54.840
<v Speaker 1>cash Flow. And so the the idea is that sometimes

0:39:54.880 --> 0:39:56.560
<v Speaker 1>you you know, you look at the businesses you can

0:39:56.600 --> 0:39:58.920
<v Speaker 1>touch and feel, and you run the numbers on it,

0:39:58.960 --> 0:40:01.239
<v Speaker 1>and it just have a hard time coming up with

0:40:01.239 --> 0:40:03.440
<v Speaker 1>anything close to the current stock price. And you might

0:40:03.480 --> 0:40:06.200
<v Speaker 1>immediately say, okay, well this is this doesn't make any sense.

0:40:06.719 --> 0:40:09.480
<v Speaker 1>What we what we suggest is that for certain types

0:40:09.520 --> 0:40:13.480
<v Speaker 1>of businesses they may be candidates for having some real

0:40:13.600 --> 0:40:16.640
<v Speaker 1>option value. So what is a real option When we

0:40:16.680 --> 0:40:18.880
<v Speaker 1>know about financial options, right, these are the right but

0:40:18.920 --> 0:40:21.880
<v Speaker 1>not the obligations. Typically, for example, a call option is

0:40:21.920 --> 0:40:24.080
<v Speaker 1>to buy a particular stock at a particular price at

0:40:24.080 --> 0:40:28.160
<v Speaker 1>a particular time. A real option is analogously for a

0:40:28.239 --> 0:40:30.960
<v Speaker 1>real investment in a business. Right, So this is for companies.

0:40:31.560 --> 0:40:33.480
<v Speaker 1>And so what we argue is at certain types of

0:40:33.520 --> 0:40:35.799
<v Speaker 1>businesses and the conditions are things like you wanted to

0:40:35.800 --> 0:40:38.239
<v Speaker 1>be an uncertain business, right, because where there's a lot

0:40:38.239 --> 0:40:40.520
<v Speaker 1>of certainty, there's not a lot of option value. Rights

0:40:40.560 --> 0:40:43.440
<v Speaker 1>of volatility is good for options. You want to management

0:40:43.480 --> 0:40:45.600
<v Speaker 1>team that's thoughtful, so they need to know how to

0:40:45.760 --> 0:40:50.280
<v Speaker 1>identify and cultivate and ultimately execute on those options. Market

0:40:50.400 --> 0:40:53.239
<v Speaker 1>leaders tend to be good because often when there are opportunities,

0:40:53.320 --> 0:40:56.120
<v Speaker 1>the market leader gets the first call. And then finally,

0:40:56.120 --> 0:40:58.360
<v Speaker 1>you need access to capital. When you say to we

0:40:58.440 --> 0:41:00.520
<v Speaker 1>have a great option, we want to X your size it,

0:41:00.560 --> 0:41:03.000
<v Speaker 1>you need to be able to finance it, right, And

0:41:03.040 --> 0:41:06.640
<v Speaker 1>so when those characteristics, those sort of boxes get checked,

0:41:06.920 --> 0:41:09.280
<v Speaker 1>you may have a business with some real options value.

0:41:09.280 --> 0:41:13.239
<v Speaker 1>Now in that case, our our our study from twenty

0:41:13.320 --> 0:41:15.600
<v Speaker 1>years ago was Amazon dot Com and that was probably

0:41:15.600 --> 0:41:17.719
<v Speaker 1>just dumb luck that we picked Amazon, but that was

0:41:18.000 --> 0:41:19.960
<v Speaker 1>that turned out to be sort of one of the

0:41:20.000 --> 0:41:22.799
<v Speaker 1>great examples of a real options company. And just think

0:41:22.840 --> 0:41:26.319
<v Speaker 1>about a WS wasn't even a twinkle on anybody's eye

0:41:26.360 --> 0:41:28.239
<v Speaker 1>in two thousand and one when we wrote that version

0:41:28.280 --> 0:41:31.319
<v Speaker 1>of it, but but we did identify it as a

0:41:31.360 --> 0:41:33.960
<v Speaker 1>company that had a lot of uncertainty and what was

0:41:34.000 --> 0:41:36.360
<v Speaker 1>going on on an executive who seemed to be pretty

0:41:36.400 --> 0:41:39.760
<v Speaker 1>astute at figuring these things out, and along the way

0:41:39.840 --> 0:41:42.839
<v Speaker 1>he I mean he made many many mistakes, Jeff Bezos did,

0:41:42.880 --> 0:41:46.400
<v Speaker 1>but along the way he actually made a lot of

0:41:46.440 --> 0:41:49.799
<v Speaker 1>really interesting, good capital allocation decisions. So so that just

0:41:49.840 --> 0:41:51.960
<v Speaker 1>shows like for all the mistakes that he made and

0:41:52.360 --> 0:41:56.479
<v Speaker 1>many even great executives make that they they are able

0:41:56.480 --> 0:42:00.520
<v Speaker 1>to allocate capital effectively. And Bezos talks about, hey, we're

0:42:00.560 --> 0:42:03.280
<v Speaker 1>not making enough mistakes. If there aren't enough fire phones

0:42:03.360 --> 0:42:07.680
<v Speaker 1>that are disasters, we're not trying enough new things. You know,

0:42:07.920 --> 0:42:13.279
<v Speaker 1>Amazon Prime, next day delivery, Amazon Music and video and

0:42:13.600 --> 0:42:16.560
<v Speaker 1>web services were all because they were throwing stuff up

0:42:16.560 --> 0:42:19.120
<v Speaker 1>against the wall to see what happens. If you're not

0:42:19.239 --> 0:42:22.839
<v Speaker 1>taking a risk, you're not getting the upside. That's exactly right.

0:42:22.880 --> 0:42:26.960
<v Speaker 1>And so so the question would be something like, um,

0:42:27.000 --> 0:42:29.680
<v Speaker 1>if if you think that as a potential for a business,

0:42:29.920 --> 0:42:32.120
<v Speaker 1>and it's obviously not in the touch and field today

0:42:32.160 --> 0:42:34.760
<v Speaker 1>with things you can see today, should you be willing

0:42:34.800 --> 0:42:36.520
<v Speaker 1>to pay for that? And how should you be willing

0:42:36.520 --> 0:42:38.040
<v Speaker 1>to pay for that? So we have a little section

0:42:38.520 --> 0:42:40.680
<v Speaker 1>on real options, and we talked about how to value

0:42:40.680 --> 0:42:43.759
<v Speaker 1>those and some more formal techniques. But but that is

0:42:44.880 --> 0:42:47.439
<v Speaker 1>leaving aside all the numbers and all that the keys.

0:42:47.480 --> 0:42:49.960
<v Speaker 1>It's a mindset, right and and so there may be

0:42:50.040 --> 0:42:51.920
<v Speaker 1>you know, are especially although if you can get this

0:42:51.960 --> 0:42:56.160
<v Speaker 1>optionality for free, that's fantastic, but even if you're willing to,

0:42:56.160 --> 0:42:57.480
<v Speaker 1>if you need to pay a little bit for it.

0:42:57.480 --> 0:42:58.640
<v Speaker 1>By the way, there are other people like you know,

0:42:58.640 --> 0:43:00.759
<v Speaker 1>the Bary dealers of the world. He's just another guy.

0:43:00.800 --> 0:43:02.360
<v Speaker 1>I just think of Barry Diller, and I think that

0:43:02.400 --> 0:43:05.319
<v Speaker 1>guy understands options as well as anybody out there, right

0:43:05.719 --> 0:43:08.480
<v Speaker 1>and for the businesses, so there there's certain executives that

0:43:08.520 --> 0:43:10.920
<v Speaker 1>tend to do it, really because he's managed to assemble

0:43:11.000 --> 0:43:15.000
<v Speaker 1>a conglomerate of very disparate businesses that all seem to

0:43:15.160 --> 0:43:19.360
<v Speaker 1>work very well in his portfolio. For lack of a

0:43:19.400 --> 0:43:22.839
<v Speaker 1>better better word. Um, but he's not running a mutual fund.

0:43:22.920 --> 0:43:26.120
<v Speaker 1>He's running a real operating business. So that's how you

0:43:26.120 --> 0:43:31.480
<v Speaker 1>would define optionality. Real optionality is identifying those opportunities and

0:43:31.520 --> 0:43:34.000
<v Speaker 1>then taking advantage of it. I think that's right. And

0:43:34.480 --> 0:43:36.440
<v Speaker 1>he's been doing this for a long time. By the way,

0:43:36.480 --> 0:43:38.160
<v Speaker 1>this is not like a recent thing. This for a

0:43:38.200 --> 0:43:41.560
<v Speaker 1>long time. So by the way, I previously had one

0:43:41.600 --> 0:43:44.040
<v Speaker 1>of your colleagues on as a guest. Dennis Lynch was

0:43:44.160 --> 0:43:49.719
<v Speaker 1>quite fascinating. He's really an interesting individual. Dennis is awesome. Yeah,

0:43:49.880 --> 0:43:52.120
<v Speaker 1>not just is not only a great investor, but a

0:43:52.160 --> 0:43:54.919
<v Speaker 1>great a great guy. And this is these are things

0:43:54.920 --> 0:43:56.880
<v Speaker 1>that tend to get underestimated, by the way, is that

0:43:57.960 --> 0:44:01.120
<v Speaker 1>organizational cultures are really important. And you know, he's just

0:44:01.239 --> 0:44:04.160
<v Speaker 1>created an environment that I think is is about a

0:44:04.200 --> 0:44:07.000
<v Speaker 1>good environment for an investment organization as possible, and that's

0:44:07.160 --> 0:44:10.200
<v Speaker 1>very challenging to do. People don't realize how hard, especially

0:44:10.360 --> 0:44:14.200
<v Speaker 1>during COVID and everybody remote, maintaining that is really difficult.

0:44:14.400 --> 0:44:16.480
<v Speaker 1>I agree, and I think part of it is that,

0:44:17.160 --> 0:44:19.440
<v Speaker 1>I mean, there are two things that I particularly admire.

0:44:19.520 --> 0:44:23.279
<v Speaker 1>One is there's a clear drive towards learning, being a

0:44:23.360 --> 0:44:26.520
<v Speaker 1>learning organization, so there's a premium on people thinking and

0:44:26.600 --> 0:44:29.239
<v Speaker 1>learning and so forth. And second is I think he

0:44:29.280 --> 0:44:31.400
<v Speaker 1>thinks a lot about trying to put people in a

0:44:31.440 --> 0:44:34.200
<v Speaker 1>position to be as effective as they can be, so

0:44:34.239 --> 0:44:36.440
<v Speaker 1>putting people in a position to do what they do

0:44:36.520 --> 0:44:40.239
<v Speaker 1>well and what they're passionate about. And yeah, great, great guy,

0:44:40.320 --> 0:44:42.359
<v Speaker 1>and I loved I mean, I love that episode, by

0:44:42.360 --> 0:44:44.680
<v Speaker 1>the way, and I think that he's he's really and

0:44:44.680 --> 0:44:46.479
<v Speaker 1>he doesn't and he doesn't do a lot of those things.

0:44:46.520 --> 0:44:48.560
<v Speaker 1>So it's great for you. That was No, that was

0:44:48.600 --> 0:44:50.640
<v Speaker 1>a lot of That was a lot of fun. Um.

0:44:50.680 --> 0:44:54.320
<v Speaker 1>So let's talk a little bit about market efficiency. Uh.

0:44:54.480 --> 0:44:57.400
<v Speaker 1>One of the questions that when we were kicking around

0:44:57.400 --> 0:45:00.359
<v Speaker 1>some ideas for this is have the markets got more

0:45:00.360 --> 0:45:04.600
<v Speaker 1>efficient over the last twenty years, given given the speed

0:45:04.640 --> 0:45:09.920
<v Speaker 1>information moves around, given the integration of technology and unofficial intelligence,

0:45:10.520 --> 0:45:14.360
<v Speaker 1>is the market the same market as the two thousand

0:45:14.360 --> 0:45:16.600
<v Speaker 1>and one market? Yeah? I think the answer those questions

0:45:16.640 --> 0:45:19.759
<v Speaker 1>are always know that they're not the same markets, and

0:45:19.800 --> 0:45:23.640
<v Speaker 1>they're almost always grinding toward more efficiency. Right. So, and

0:45:23.680 --> 0:45:27.520
<v Speaker 1>I think that if you did one versus one and

0:45:27.560 --> 0:45:29.680
<v Speaker 1>go back over time, right and for all the reasons

0:45:29.719 --> 0:45:34.239
<v Speaker 1>you decided that information is is nearly cost costless to

0:45:34.520 --> 0:45:38.319
<v Speaker 1>acquire and so forth. Now, um, the one thing else

0:45:38.360 --> 0:45:41.680
<v Speaker 1>to say that And and I, by the way, I

0:45:41.680 --> 0:45:46.480
<v Speaker 1>am very enthusiastic about systematic strategies and quantitatives tools. I

0:45:46.520 --> 0:45:49.400
<v Speaker 1>think these are all things that even as discretionary investors,

0:45:49.400 --> 0:45:52.000
<v Speaker 1>we need to integrate these things in a very thoughtful way.

0:45:52.480 --> 0:45:56.719
<v Speaker 1>All that said that, in active management, the notion of

0:45:56.800 --> 0:45:59.400
<v Speaker 1>judgment is not going to go away anytime soon, and

0:45:59.480 --> 0:46:03.040
<v Speaker 1>so and and judgment as distinct from like I'm just

0:46:03.120 --> 0:46:05.920
<v Speaker 1>forecasting or you know that kind of stuff. But judgments

0:46:05.960 --> 0:46:08.000
<v Speaker 1>are not going to go away, and so we need that.

0:46:08.560 --> 0:46:11.600
<v Speaker 1>So when you think about in the very short term,

0:46:11.920 --> 0:46:14.920
<v Speaker 1>so short term trading, were systematic strategies are just gonna

0:46:14.920 --> 0:46:17.120
<v Speaker 1>be They're just so powerful. You know, if tomorrow is

0:46:17.160 --> 0:46:19.000
<v Speaker 1>gonna be a lot like today, or day after tomorrow

0:46:19.000 --> 0:46:21.719
<v Speaker 1>a lot like today, systematic things are gonna are going

0:46:21.760 --> 0:46:24.520
<v Speaker 1>to be much better than humans and those kinds of environments.

0:46:25.000 --> 0:46:26.759
<v Speaker 1>But again, if you look out five or ten or

0:46:26.800 --> 0:46:29.480
<v Speaker 1>fifteen years, and we talked before about these patterns of

0:46:29.520 --> 0:46:32.960
<v Speaker 1>how industries evolve and so forth, machines have a very

0:46:32.960 --> 0:46:35.839
<v Speaker 1>difficult time understanding those kinds of things, and humans can

0:46:35.880 --> 0:46:38.600
<v Speaker 1>be I think a little bit more thoughtful about understanding

0:46:39.239 --> 0:46:42.319
<v Speaker 1>who might win, who might lose for what reasons, things

0:46:42.360 --> 0:46:45.239
<v Speaker 1>like measuring culture and so on and so forth. So yeah,

0:46:45.239 --> 0:46:47.919
<v Speaker 1>I mean, it's always it's always a tough game, and uh,

0:46:48.880 --> 0:46:50.759
<v Speaker 1>I just don't see it's gonna be getting a ton

0:46:51.040 --> 0:46:55.600
<v Speaker 1>ton easier over time. So so the markets becoming more efficient,

0:46:56.760 --> 0:46:59.719
<v Speaker 1>Let me, let me ask that slightly differently? Are are

0:46:59.760 --> 0:47:04.359
<v Speaker 1>we quicker today to discount the future? So and and

0:47:04.400 --> 0:47:08.560
<v Speaker 1>we briefly talked about, uh, the electric vehicle makers. If

0:47:08.600 --> 0:47:11.560
<v Speaker 1>we're looking at Lucid and Tesla and Rivian in those

0:47:11.600 --> 0:47:16.480
<v Speaker 1>companies footnote A hundred years ago, there were ninety different

0:47:16.560 --> 0:47:19.879
<v Speaker 1>automobile companies before we were left with five and then

0:47:20.000 --> 0:47:23.319
<v Speaker 1>three and now in the US and now um, here

0:47:23.360 --> 0:47:26.400
<v Speaker 1>we are with everybody rolling out e vs and lots

0:47:26.640 --> 0:47:32.160
<v Speaker 1>of new EV companies coming out. Are we better able

0:47:32.200 --> 0:47:35.440
<v Speaker 1>to look at this group and say, oh, yeah, eventually

0:47:35.440 --> 0:47:38.360
<v Speaker 1>everything's gonna be e V and therefore these companies have value?

0:47:39.000 --> 0:47:41.759
<v Speaker 1>Or are these closer to the meme stocks? And and

0:47:41.800 --> 0:47:45.080
<v Speaker 1>I'm not asking for an opinion about any specific company,

0:47:45.120 --> 0:47:51.160
<v Speaker 1>I mean, how are investors generalizing with any of these sectors?

0:47:51.200 --> 0:47:54.000
<v Speaker 1>But we can use evs as an example. I mean,

0:47:54.360 --> 0:47:56.560
<v Speaker 1>it's a great question baring and a few things come

0:47:56.560 --> 0:47:58.879
<v Speaker 1>to mind. Um, the first thing I should mention, there's

0:47:58.880 --> 0:48:01.920
<v Speaker 1>a fairly recent academic paper. This is within the last

0:48:01.960 --> 0:48:04.439
<v Speaker 1>few months, and we can maybe posted on the show

0:48:04.480 --> 0:48:06.960
<v Speaker 1>notes or something to this effect. And it was its

0:48:06.960 --> 0:48:10.239
<v Speaker 1>studied about ten thousand I p o s since nine

0:48:12.360 --> 0:48:15.040
<v Speaker 1>and and then it actually went and tracked the future

0:48:15.080 --> 0:48:17.560
<v Speaker 1>earnings and discounted them back to a present value and

0:48:17.600 --> 0:48:19.920
<v Speaker 1>said how close was the I p O price to

0:48:20.040 --> 0:48:24.080
<v Speaker 1>the actual performance of the business over time? And it

0:48:24.120 --> 0:48:28.320
<v Speaker 1>turns out, I mean probably not shockingly. Is it on average?

0:48:28.400 --> 0:48:32.920
<v Speaker 1>It was about right? But there is massive variants and

0:48:33.000 --> 0:48:36.759
<v Speaker 1>there is massive skew. Right. So the answer is the

0:48:36.800 --> 0:48:39.200
<v Speaker 1>market tends to get this broadly speaking, but for any

0:48:39.200 --> 0:48:44.400
<v Speaker 1>particular company, uh, not particularly well. So that's my first comment, say,

0:48:44.239 --> 0:48:46.680
<v Speaker 1>I will enter all this into with some some degree

0:48:46.680 --> 0:48:49.600
<v Speaker 1>of humility. The second thing is there's a concept and

0:48:49.640 --> 0:48:51.120
<v Speaker 1>we talked about in this the book as well, but

0:48:51.120 --> 0:48:54.000
<v Speaker 1>it's a very well known concept of reflexivity, right, And

0:48:54.040 --> 0:48:58.840
<v Speaker 1>so we tend to think about fundamentals and price action

0:48:59.000 --> 0:49:01.759
<v Speaker 1>as two separate things. Right, So people always draw that,

0:49:01.760 --> 0:49:03.919
<v Speaker 1>you know, the prices that thing that's squiggling all over

0:49:03.920 --> 0:49:06.920
<v Speaker 1>the place, and fundamentals is things sort applauds along, you know,

0:49:07.000 --> 0:49:10.040
<v Speaker 1>and and so prices sort of chasing around. Um. What

0:49:10.080 --> 0:49:12.120
<v Speaker 1>George Soros and many others have talked about in the

0:49:12.120 --> 0:49:15.040
<v Speaker 1>concept of reflectivity is these two things feed back to

0:49:15.120 --> 0:49:17.400
<v Speaker 1>one another. So the very fact that when price is

0:49:17.480 --> 0:49:20.279
<v Speaker 1>up and a company can sell equity that allows it

0:49:20.400 --> 0:49:23.000
<v Speaker 1>resources to pursue fundamentals in a way that it may

0:49:23.000 --> 0:49:25.440
<v Speaker 1>not have been able to otherwise. Right, and so on

0:49:25.480 --> 0:49:27.160
<v Speaker 1>and so forth. Right, and by the way, the positive

0:49:27.160 --> 0:49:29.120
<v Speaker 1>feedback works on the way up, and it also couldn't

0:49:29.160 --> 0:49:31.279
<v Speaker 1>work on the way down, just to be clear. So

0:49:31.320 --> 0:49:34.080
<v Speaker 1>I think even in electric vehicles we've seen a big

0:49:34.160 --> 0:49:38.279
<v Speaker 1>dose of this reflexivity. And then the other thing that

0:49:38.360 --> 0:49:40.799
<v Speaker 1>makes it this all very complicated is what's going on

0:49:40.840 --> 0:49:44.399
<v Speaker 1>with interest rates and discount rates, right, and just I'll

0:49:44.400 --> 0:49:47.200
<v Speaker 1>just spend one moment to explain this, because it's actually

0:49:47.280 --> 0:49:49.279
<v Speaker 1>quite interesting if you go back and look at the

0:49:49.360 --> 0:49:52.480
<v Speaker 1>history of interest rates, so on the X axis you

0:49:52.480 --> 0:49:55.759
<v Speaker 1>would draw, you know, the history of real interest rates,

0:49:55.800 --> 0:49:58.880
<v Speaker 1>so adjusted for inflation. And then on the y axis,

0:49:58.920 --> 0:50:00.840
<v Speaker 1>the price earning is multip so we can use like

0:50:00.840 --> 0:50:04.440
<v Speaker 1>a Chiller cyclically adjusted price earnings multiple as an example.

0:50:04.880 --> 0:50:07.920
<v Speaker 1>If you plot what PE multiples do, it's actually an

0:50:07.960 --> 0:50:11.239
<v Speaker 1>inverted you. So saying this differently, high interest rates are

0:50:11.239 --> 0:50:15.440
<v Speaker 1>associated with low multiples. That's that makes sense. Kind of

0:50:15.480 --> 0:50:19.480
<v Speaker 1>medium ones are associated with higher multiples. Yeah, that seems okay,

0:50:19.520 --> 0:50:22.120
<v Speaker 1>but you would expect this to be a continued linear relationship.

0:50:22.200 --> 0:50:25.000
<v Speaker 1>So the low interest rates effective really high multiples, and

0:50:25.000 --> 0:50:27.920
<v Speaker 1>in fact that's how it happened. Occurs back down and

0:50:28.040 --> 0:50:33.160
<v Speaker 1>low interest rates are again effectively low uh low price

0:50:33.160 --> 0:50:36.040
<v Speaker 1>earnings multiples. So what's going on here? And the answer

0:50:36.160 --> 0:50:40.600
<v Speaker 1>is usually historically low interest rates have been associated with

0:50:40.680 --> 0:50:45.319
<v Speaker 1>sluggish growth because the fet is usually cutting rates in

0:50:45.400 --> 0:50:48.719
<v Speaker 1>response to a succession. It's it's when you look at

0:50:48.719 --> 0:50:52.680
<v Speaker 1>the causal relationship, how you end up at low rates. Well,

0:50:52.719 --> 0:50:55.640
<v Speaker 1>in this case it's following the financial crisis or a pandemic,

0:50:55.920 --> 0:50:59.040
<v Speaker 1>but historically most cases are because the economy is in

0:50:59.120 --> 0:51:01.280
<v Speaker 1>the test sluggish, and go back to the late nineteen

0:51:01.320 --> 0:51:04.200
<v Speaker 1>thirties and early nineteen forties was another episode of hilary

0:51:04.200 --> 0:51:07.239
<v Speaker 1>low very low discarnage. So so the argument here is

0:51:07.280 --> 0:51:10.879
<v Speaker 1>if you have companies that can grow strongly through this

0:51:10.960 --> 0:51:14.320
<v Speaker 1>low interest rate or low discount rate environment, they actually

0:51:14.320 --> 0:51:17.080
<v Speaker 1>get the double positives, right. One is the growth actually

0:51:17.200 --> 0:51:19.759
<v Speaker 1>they do put up the numbers, and second is they

0:51:19.760 --> 0:51:22.399
<v Speaker 1>get the benefit of a low discount rate. So so

0:51:22.520 --> 0:51:24.680
<v Speaker 1>it's a combination. You sort of throw those things into

0:51:24.719 --> 0:51:26.520
<v Speaker 1>the mix and you get sort of these these sort

0:51:26.520 --> 0:51:30.080
<v Speaker 1>of somewhat weird outcum but but again, um, early whenever

0:51:30.120 --> 0:51:32.239
<v Speaker 1>you're in early days, as we talked about before, for

0:51:32.280 --> 0:51:34.600
<v Speaker 1>electrical vehicles or anything else, when you're in early days,

0:51:34.640 --> 0:51:37.680
<v Speaker 1>you're gonna there's there's there's a lot of jocking around

0:51:37.680 --> 0:51:41.080
<v Speaker 1>for a position, and it's often not crystal clear who

0:51:41.120 --> 0:51:43.839
<v Speaker 1>the ultimate winners or losers will be. So so let's

0:51:43.840 --> 0:51:45.719
<v Speaker 1>talk a little bit about share buy backs. You have

0:51:45.760 --> 0:51:50.640
<v Speaker 1>a whole chapter on that. There is some controversy about

0:51:50.680 --> 0:51:53.960
<v Speaker 1>share buy backs. Some people like them, some people think

0:51:54.000 --> 0:51:57.919
<v Speaker 1>it's a waste of money. Um, I'm gonna disclose my take.

0:51:58.520 --> 0:52:01.040
<v Speaker 1>I think as long as they were showing share buy backs,

0:52:01.520 --> 0:52:04.080
<v Speaker 1>it creates an advantage for the most of the companies

0:52:04.120 --> 0:52:06.920
<v Speaker 1>doing the share buy backs, first of the companies that can't.

0:52:07.440 --> 0:52:11.319
<v Speaker 1>Whether that's a cause or effect is arguable. Hey, if

0:52:11.360 --> 0:52:13.200
<v Speaker 1>you can't afford to do the share buy backs, you're

0:52:13.200 --> 0:52:17.200
<v Speaker 1>probably doing something else wrong. But that said, tell us

0:52:17.200 --> 0:52:20.080
<v Speaker 1>a little bit about share buy backs, what's the significance

0:52:20.120 --> 0:52:23.759
<v Speaker 1>of them, and what does it mean for performance? But

0:52:23.960 --> 0:52:26.600
<v Speaker 1>by the way, I just can't get over this controversial

0:52:27.120 --> 0:52:29.600
<v Speaker 1>for some reason. I don't I just don't understand why

0:52:29.680 --> 0:52:31.960
<v Speaker 1>people seem so flummix by this issue because It seems

0:52:32.000 --> 0:52:35.080
<v Speaker 1>pretty straightforward to me. Because of the anecdotes. There are terrible,

0:52:35.280 --> 0:52:40.160
<v Speaker 1>terrible anecdotes. General Electric bought a ton of of stock

0:52:40.200 --> 0:52:42.759
<v Speaker 1>back on its way towards this, and I could give

0:52:42.760 --> 0:52:47.880
<v Speaker 1>you a dozen other memorable examples, but that's a little

0:52:47.880 --> 0:52:51.680
<v Speaker 1>bit of availability bias. You know, we we that's what

0:52:51.719 --> 0:52:55.319
<v Speaker 1>we've seen, and so people always tried out the worst anecdote.

0:52:55.680 --> 0:53:00.000
<v Speaker 1>I think that my favorite anecdote is Dell spent more

0:53:00.040 --> 0:53:03.560
<v Speaker 1>money when it was a freestanding public company on stock

0:53:03.640 --> 0:53:07.520
<v Speaker 1>buy backs. Then they earned in profits their entire existence

0:53:07.640 --> 0:53:10.319
<v Speaker 1>up until they were take in private, you know, a

0:53:10.360 --> 0:53:13.200
<v Speaker 1>decade ago. Well, now now we're going back to the

0:53:13.280 --> 0:53:16.120
<v Speaker 1>intangible argument and there versus their cash lows. By the way,

0:53:16.160 --> 0:53:17.719
<v Speaker 1>can I tell I'll just tell a little maybe this

0:53:17.760 --> 0:53:19.239
<v Speaker 1>a little bit out of school, but it's okay, I'll

0:53:19.239 --> 0:53:22.720
<v Speaker 1>tell this a little lot of school story. So, um,

0:53:22.760 --> 0:53:26.640
<v Speaker 1>in two thousand and ten, I was invited to give

0:53:26.680 --> 0:53:29.880
<v Speaker 1>a talk to the senior executive team at General Electric,

0:53:32.600 --> 0:53:35.400
<v Speaker 1>and uh, this is right on the heels of the

0:53:35.400 --> 0:53:38.560
<v Speaker 1>financial crisis, right, so this is a near death experience, right,

0:53:38.680 --> 0:53:41.360
<v Speaker 1>especially for GEF the financial services division and so and

0:53:41.400 --> 0:53:43.680
<v Speaker 1>so forth. Right, So, this is not a good you know,

0:53:43.719 --> 0:53:48.000
<v Speaker 1>it's a very challenging time. And um, I don't wear

0:53:48.000 --> 0:53:50.160
<v Speaker 1>the stock was at the time is all pre split stuff,

0:53:50.160 --> 0:53:53.160
<v Speaker 1>but it was probably in the low teen something like that, right,

0:53:53.760 --> 0:53:56.440
<v Speaker 1>And um so I'm getting a cup of coffee before

0:53:56.480 --> 0:53:59.800
<v Speaker 1>my presentation, and I bumped into the chief financial officer

0:54:00.040 --> 0:54:04.000
<v Speaker 1>and he says, Man, the worst thing and idea that

0:54:04.120 --> 0:54:07.680
<v Speaker 1>we did is we bought backstock in the thirties. And

0:54:07.719 --> 0:54:10.600
<v Speaker 1>I looked at him directly and nice, like, dude, You've

0:54:10.600 --> 0:54:12.840
<v Speaker 1>done a lot worse stuff than that, right, And so

0:54:13.000 --> 0:54:17.160
<v Speaker 1>you might say, Okay, it's not the accounting and all

0:54:17.200 --> 0:54:20.120
<v Speaker 1>the everything energy capital. It was the share of what

0:54:20.480 --> 0:54:22.719
<v Speaker 1>is even all that now? And I just said, leaving

0:54:22.760 --> 0:54:25.120
<v Speaker 1>aside all that stuff, Actually, I thought my my thought

0:54:25.520 --> 0:54:27.080
<v Speaker 1>was going on the back of my head was much

0:54:27.080 --> 0:54:30.239
<v Speaker 1>more about broader capital allocation and M and A activity

0:54:30.640 --> 0:54:32.040
<v Speaker 1>M and A like what they bought and what they

0:54:32.040 --> 0:54:34.279
<v Speaker 1>sold versus the buybacks and what they didn't buy, the

0:54:34.320 --> 0:54:37.520
<v Speaker 1>opportunities they chose to pass on. So let me let

0:54:37.560 --> 0:54:39.879
<v Speaker 1>me okay, if I'm allowed to nerd out just a bit.

0:54:40.000 --> 0:54:42.680
<v Speaker 1>First of all, there there is some there should be

0:54:42.719 --> 0:54:46.120
<v Speaker 1>some people should have some psychological equivalence between dividends and

0:54:46.120 --> 0:54:49.480
<v Speaker 1>buy backs and and and execution. They're different and distinct,

0:54:49.920 --> 0:54:52.920
<v Speaker 1>and if done properly, buy backs can be slightly beneficial

0:54:53.000 --> 0:54:55.279
<v Speaker 1>relative to dividends. But let's just say that these are

0:54:55.320 --> 0:54:59.080
<v Speaker 1>a mechanism return capital the shareholders, albeit only those people

0:54:59.120 --> 0:55:01.360
<v Speaker 1>who are sellers are willing to take it. So here's

0:55:01.400 --> 0:55:03.960
<v Speaker 1>here's my nerd my nerd out moment, which is I

0:55:04.000 --> 0:55:06.840
<v Speaker 1>called the value conservation concept, and this is really the

0:55:06.920 --> 0:55:09.640
<v Speaker 1>key point. So let's say you have a company that's

0:55:09.640 --> 0:55:11.719
<v Speaker 1>worth a thousand I'm just making this up, and you

0:55:11.760 --> 0:55:14.759
<v Speaker 1>have you know, X number of shares outstanding, and they

0:55:14.800 --> 0:55:17.480
<v Speaker 1>decide they're going to return two hundred dollars to shareholders,

0:55:17.640 --> 0:55:19.400
<v Speaker 1>right of the thousand, two hundreds going to go to

0:55:19.400 --> 0:55:22.279
<v Speaker 1>shahoulders um. By the way, they could it could be

0:55:22.280 --> 0:55:23.719
<v Speaker 1>a dividend, it could be a buy back, it could

0:55:23.760 --> 0:55:25.279
<v Speaker 1>be anything. It could be they could burn the cash

0:55:25.280 --> 0:55:27.400
<v Speaker 1>in the parking lot. Right. So the point is that

0:55:27.480 --> 0:55:30.080
<v Speaker 1>the value of the firm after this is executed will

0:55:30.120 --> 0:55:33.239
<v Speaker 1>go from a thousand to eight hundred period. Right. Again,

0:55:33.239 --> 0:55:34.720
<v Speaker 1>it doesn't matter what they did with the doing, it's

0:55:34.719 --> 0:55:36.680
<v Speaker 1>gonna go from a thousand to eight hundreds. Okay, so

0:55:36.719 --> 0:55:39.480
<v Speaker 1>now let's walk through three scenarios. One scenario is the

0:55:39.520 --> 0:55:43.400
<v Speaker 1>stock is over valued. Right, Let's pretend that was the

0:55:43.440 --> 0:55:46.680
<v Speaker 1>g E situation. The stock is overvalued, so they buy

0:55:46.680 --> 0:55:50.200
<v Speaker 1>back over valued stock. Well, the value the firm we

0:55:50.320 --> 0:55:53.319
<v Speaker 1>just established goes from a thousand to eight hundred. That

0:55:53.360 --> 0:55:58.319
<v Speaker 1>doesn't change. What does change is the relative positioning of

0:55:58.360 --> 0:56:01.440
<v Speaker 1>the selling shoulders versus going shoulders. In this case, the

0:56:01.480 --> 0:56:04.320
<v Speaker 1>selling shoulders are getting in quotes more than they should

0:56:04.880 --> 0:56:08.759
<v Speaker 1>so they're benefiting and the ongoing shoulders are suffering. Right,

0:56:08.760 --> 0:56:11.319
<v Speaker 1>so they're getting their per share value just went down, right,

0:56:11.320 --> 0:56:13.000
<v Speaker 1>And we can demonstrate, and we actually do in the book.

0:56:13.000 --> 0:56:16.239
<v Speaker 1>We can demonstrate that mathematicad scenario too is a buy

0:56:16.239 --> 0:56:19.759
<v Speaker 1>back undervalued stock. Right, So what's happened now is the

0:56:19.800 --> 0:56:22.320
<v Speaker 1>sellers are getting less than what they're supposed to be getting,

0:56:22.320 --> 0:56:24.560
<v Speaker 1>so they're in a sense getting ripped off. And what's

0:56:24.640 --> 0:56:27.400
<v Speaker 1>left is the per share value goes up, the interns

0:56:27.400 --> 0:56:30.960
<v Speaker 1>of guide goes up for the ongoing shareholders. Right, So

0:56:31.160 --> 0:56:32.920
<v Speaker 1>one of the points always make the money managers I

0:56:33.120 --> 0:56:35.760
<v Speaker 1>as I said, well, I presume you own stocks because

0:56:35.760 --> 0:56:39.640
<v Speaker 1>you believe that they're undervalued. Is that a fair assessment.

0:56:40.320 --> 0:56:43.320
<v Speaker 1>If the answer to that is yes, then you always

0:56:43.360 --> 0:56:46.160
<v Speaker 1>want companies to buy back stock because the presumption is

0:56:46.200 --> 0:56:48.839
<v Speaker 1>somebody is selling for too low a price and your

0:56:48.880 --> 0:56:50.959
<v Speaker 1>per share value is going to go up. Now, Diven,

0:56:51.040 --> 0:56:52.759
<v Speaker 1>end of course, just goes to everybody and leaving a

0:56:52.840 --> 0:56:57.399
<v Speaker 1>side tax effects, everyone gets treated completely equally. So now

0:56:57.400 --> 0:56:59.000
<v Speaker 1>what we talked about in the book is this thing

0:56:59.040 --> 0:57:01.440
<v Speaker 1>called the Golden rule buy backs, which basically says you

0:57:01.440 --> 0:57:03.440
<v Speaker 1>should buy back of stock only one is below fair

0:57:03.520 --> 0:57:08.160
<v Speaker 1>value and basically all other operational initiatives have been met. Right.

0:57:08.480 --> 0:57:10.759
<v Speaker 1>And again, Barry, I'll just let you put on your

0:57:10.880 --> 0:57:13.200
<v Speaker 1>sort of owner of a business hat as well. You

0:57:13.239 --> 0:57:16.000
<v Speaker 1>probably think to yourself, all right, we've got financials. What

0:57:16.040 --> 0:57:17.880
<v Speaker 1>I want to do is invest in all the ways

0:57:17.880 --> 0:57:20.120
<v Speaker 1>in the business that I think would add value to

0:57:20.160 --> 0:57:23.640
<v Speaker 1>our organization. And then there's something left after left over

0:57:23.680 --> 0:57:25.680
<v Speaker 1>after all that, then we'll think about what to do

0:57:25.720 --> 0:57:28.840
<v Speaker 1>with that money. Right, But your first inclination is let's

0:57:28.880 --> 0:57:32.120
<v Speaker 1>invest back into ways to build value for our our

0:57:32.120 --> 0:57:35.560
<v Speaker 1>long term value for our franchise. Right, So so to me,

0:57:35.800 --> 0:57:38.000
<v Speaker 1>uh okay, And then the last thing I'll say about

0:57:38.000 --> 0:57:40.400
<v Speaker 1>buy backs versus dividends, which is really interesting and I

0:57:40.480 --> 0:57:43.640
<v Speaker 1>think this is a very real thing, which is it's

0:57:43.680 --> 0:57:47.240
<v Speaker 1>a completely different psychological thing for executives. So when they

0:57:47.280 --> 0:57:50.840
<v Speaker 1>pay a dividend, they deem that to be a quasi contract,

0:57:51.080 --> 0:57:54.120
<v Speaker 1>and they are loath to cut dividends. They want to

0:57:54.240 --> 0:57:57.080
<v Speaker 1>raise the dividend, and the dividend is the sacred thing

0:57:57.200 --> 0:58:00.880
<v Speaker 1>that we want to preserve at all costs. As a consequence,

0:58:00.920 --> 0:58:02.320
<v Speaker 1>by the way, if you look at a long term

0:58:02.400 --> 0:58:05.760
<v Speaker 1>series of dividends versus other capital allocation things like M

0:58:05.840 --> 0:58:09.360
<v Speaker 1>and A or CAPEX, where dividends are really stable series,

0:58:09.360 --> 0:58:11.439
<v Speaker 1>I mean they do go down in recessions and so forth,

0:58:11.440 --> 0:58:14.160
<v Speaker 1>but it's a super smooth series, right, because companies are

0:58:14.240 --> 0:58:17.120
<v Speaker 1>really reticent to to cut them in there, and they're

0:58:17.160 --> 0:58:20.960
<v Speaker 1>pretty conservative about growing them. By contrast, buy backs are

0:58:21.000 --> 0:58:23.760
<v Speaker 1>deemed to be sort of this residual. Right. Yeah, we

0:58:23.840 --> 0:58:26.200
<v Speaker 1>paid all our bills, we made all the investments. We like,

0:58:26.360 --> 0:58:28.760
<v Speaker 1>we got some money sitting around. What do we do

0:58:28.840 --> 0:58:31.960
<v Speaker 1>with it. Let's buy back stock, right, and so the

0:58:31.960 --> 0:58:35.240
<v Speaker 1>the the volatility of buy backs from one year to

0:58:35.240 --> 0:58:38.320
<v Speaker 1>the next. So, so we went through COVID. What was

0:58:38.360 --> 0:58:40.720
<v Speaker 1>the first thing that got cut. It wasn't dividends. I mean,

0:58:40.760 --> 0:58:43.480
<v Speaker 1>dividends went down, but it was it was buy backs

0:58:43.520 --> 0:58:45.680
<v Speaker 1>went from a lot to very little in a very

0:58:45.680 --> 0:58:49.200
<v Speaker 1>short period time. Someone did research showing that something like

0:58:50.320 --> 0:58:54.520
<v Speaker 1>announced by backs are executed, a big swath never get

0:58:54.680 --> 0:58:59.040
<v Speaker 1>completed because the world intervenes and sometimes you can't do

0:58:59.120 --> 0:59:01.120
<v Speaker 1>what you said you were gonna do. Now that one

0:59:01.160 --> 0:59:03.040
<v Speaker 1>we I checked that because that was true. That was

0:59:03.280 --> 0:59:05.840
<v Speaker 1>that was true back in the nine nineties. That is

0:59:05.920 --> 0:59:08.720
<v Speaker 1>not really in the United States. In the United States,

0:59:08.760 --> 0:59:11.400
<v Speaker 1>most pro programs get executed. But that was that was

0:59:11.480 --> 0:59:14.240
<v Speaker 1>a true thing, and it's more true internationally than it

0:59:14.320 --> 0:59:17.439
<v Speaker 1>is in the United States. Yeah. So so to me

0:59:17.760 --> 0:59:19.120
<v Speaker 1>and bo Way, this is a whole another thing going

0:59:19.120 --> 0:59:20.560
<v Speaker 1>back to how to think about markets. I mean, I

0:59:20.760 --> 0:59:23.040
<v Speaker 1>actually think one of the very simple and many quantitative

0:59:23.080 --> 0:59:24.919
<v Speaker 1>guys do this, but one of the very simplistic ways

0:59:24.920 --> 0:59:27.760
<v Speaker 1>to think about markets is simply take take the SMPI,

0:59:28.160 --> 0:59:31.040
<v Speaker 1>for instance, take the dividend yield plus the buy back

0:59:31.160 --> 0:59:35.200
<v Speaker 1>yield and quotation marks, and then um and then that

0:59:35.200 --> 0:59:37.640
<v Speaker 1>that yield ends up being your return. Now, the last

0:59:37.680 --> 0:59:39.480
<v Speaker 1>thing I'll say before I don't want to there's an

0:59:39.480 --> 0:59:42.360
<v Speaker 1>e T f for that sharehold of value. That's a

0:59:42.440 --> 0:59:44.720
<v Speaker 1>that's a good one. So the last thing lest I

0:59:44.720 --> 0:59:47.600
<v Speaker 1>come across is totally like favorable by buy backs. Let

0:59:47.640 --> 0:59:49.440
<v Speaker 1>me just say, and you alluded to Dell. I mean,

0:59:49.560 --> 0:59:53.360
<v Speaker 1>there are companies of buy back stock for the wrong reasons, right,

0:59:53.720 --> 0:59:55.960
<v Speaker 1>and so the wrong reason would be something like to

0:59:56.440 --> 1:00:00.400
<v Speaker 1>increase earnings per share or two offset to ocean from

1:00:00.440 --> 1:00:03.080
<v Speaker 1>stock based compensation programs, and so and so from those

1:00:03.120 --> 1:00:06.120
<v Speaker 1>net aren't necessarily bad, but those are not the proper motivation.

1:00:06.160 --> 1:00:09.280
<v Speaker 1>The last one, it seems that because of the way

1:00:09.320 --> 1:00:12.720
<v Speaker 1>we treat stock options as a sort of non cost

1:00:13.720 --> 1:00:17.480
<v Speaker 1>and it takes real capital buy back shares to make

1:00:17.560 --> 1:00:21.120
<v Speaker 1>up for that, it kind of can mislead investors or

1:00:21.120 --> 1:00:24.120
<v Speaker 1>it looks like you're hiding this dilutive thing you're doing

1:00:24.120 --> 1:00:27.880
<v Speaker 1>in a way that isn't always transparent. And some companies

1:00:27.920 --> 1:00:30.080
<v Speaker 1>have been more egregious than all, and I agree with that.

1:00:30.840 --> 1:00:34.480
<v Speaker 1>So I would just say that the stock based compensation discussion,

1:00:34.640 --> 1:00:37.840
<v Speaker 1>and by the way, some SPC programs are great and

1:00:37.880 --> 1:00:39.600
<v Speaker 1>others are not as good and so forth, so there's

1:00:39.640 --> 1:00:43.080
<v Speaker 1>no one size fits all. But that's a separate discussion

1:00:43.120 --> 1:00:45.040
<v Speaker 1>from the buy back discussion. So I would just say

1:00:45.080 --> 1:00:47.720
<v Speaker 1>that those two things should not be intermingled with to

1:00:47.760 --> 1:00:50.480
<v Speaker 1>one another. And I think your observation is exactly correct.

1:00:50.480 --> 1:00:52.480
<v Speaker 1>They're are sometimes brought together in a way that may

1:00:52.480 --> 1:00:56.360
<v Speaker 1>not be productive. H But but you were gonna say

1:00:56.440 --> 1:00:59.160
<v Speaker 1>one more thing about stock buy backs, which generally is

1:00:59.760 --> 1:01:03.400
<v Speaker 1>you think it's a net positive for for shareholder price. Well,

1:01:03.400 --> 1:01:06.160
<v Speaker 1>I think that that's uh, that's an empirical question which

1:01:06.160 --> 1:01:08.560
<v Speaker 1>has been answered for decades. So the answer is that

1:01:08.640 --> 1:01:11.120
<v Speaker 1>is yes. And and by the way, people have this

1:01:11.120 --> 1:01:13.320
<v Speaker 1>perception companies pie back stock when they're high and they

1:01:13.680 --> 1:01:15.560
<v Speaker 1>don't buy it when it's low. That's actually not true.

1:01:15.560 --> 1:01:19.200
<v Speaker 1>I mean, because I remember in oh eight No. Nine,

1:01:19.680 --> 1:01:22.760
<v Speaker 1>nobody was announcing stock by backs, but I do have

1:01:22.880 --> 1:01:27.440
<v Speaker 1>a vivid recollection of everybody was buying backs. Yeah, but

1:01:27.480 --> 1:01:29.280
<v Speaker 1>if you do the numbers, the aggriant numbers are actually

1:01:29.280 --> 1:01:31.480
<v Speaker 1>pretty good. And by the way, it's this is now

1:01:31.560 --> 1:01:35.640
<v Speaker 1>not another a very big macro comment, which is companies

1:01:35.680 --> 1:01:37.960
<v Speaker 1>are pretty good at selling stock when it's high and

1:01:38.040 --> 1:01:42.280
<v Speaker 1>buying it when it's bad when it's cheap. Posatively, I mean, empirically,

1:01:42.320 --> 1:01:44.320
<v Speaker 1>we know that for a fact. That's so they're pretty good.

1:01:44.320 --> 1:01:46.880
<v Speaker 1>So when they're retiring act, Yes, that's that's an interesting

1:01:46.920 --> 1:01:49.280
<v Speaker 1>And by the way, that the reason I bring that

1:01:49.360 --> 1:01:51.800
<v Speaker 1>up and why that's important is that when we talk

1:01:51.840 --> 1:01:55.120
<v Speaker 1>about alpha, for example, alpha is a measure of excess returns,

1:01:55.560 --> 1:01:57.880
<v Speaker 1>and of course it nets to zero by definition within

1:01:57.920 --> 1:01:59.919
<v Speaker 1>a closed group of the problems. Markets are not clos

1:02:00.000 --> 1:02:02.360
<v Speaker 1>post right, They're actually open, and they're open that there

1:02:02.360 --> 1:02:06.200
<v Speaker 1>are other entities interacting, and the biggest other entity interacting

1:02:06.280 --> 1:02:09.640
<v Speaker 1>is actually corporation. So if companies are selling expensive and

1:02:09.720 --> 1:02:13.320
<v Speaker 1>buying cheap, that means there's companies are gathering somebody alpha.

1:02:13.840 --> 1:02:15.480
<v Speaker 1>So it's funny you say that, because I'm trying to

1:02:15.520 --> 1:02:17.760
<v Speaker 1>remember which quant said it, and I don't want to

1:02:17.800 --> 1:02:21.360
<v Speaker 1>put words into Cliff Fastness his mouth. Somebody had written

1:02:21.880 --> 1:02:24.720
<v Speaker 1>stock buy backs are legal insider trade, and you know

1:02:24.840 --> 1:02:27.480
<v Speaker 1>how well the company is going to do. So if

1:02:27.560 --> 1:02:31.400
<v Speaker 1>you're selling stock, it's you're less confident. And if you're

1:02:31.440 --> 1:02:35.560
<v Speaker 1>a buyer, as a corporate entity, you should be doing

1:02:35.600 --> 1:02:38.640
<v Speaker 1>so because you think the company's future prospects are bright

1:02:38.720 --> 1:02:40.760
<v Speaker 1>and you know exactly why. Yeah. And by the way,

1:02:40.760 --> 1:02:42.200
<v Speaker 1>the on thing I'll just mentioned is it just to

1:02:42.240 --> 1:02:44.760
<v Speaker 1>be clear that buy backs were, I mean they're there.

1:02:44.760 --> 1:02:47.200
<v Speaker 1>There are histories like Telen's very famous for having brought

1:02:47.240 --> 1:02:49.160
<v Speaker 1>back stock in the nineteen seventies and so forth. But

1:02:49.520 --> 1:02:52.840
<v Speaker 1>buy backs were the wild West in the nineteen seventies, right,

1:02:52.880 --> 1:02:55.560
<v Speaker 1>because you could be you could be charged with stock

1:02:55.560 --> 1:02:58.640
<v Speaker 1>price manipulation. So the s the SEC put in a

1:02:58.680 --> 1:03:02.040
<v Speaker 1>safe harbor provision in nine teen eight two, so there's

1:03:02.080 --> 1:03:04.160
<v Speaker 1>no real discussion. And by the way, people don't know

1:03:04.280 --> 1:03:06.440
<v Speaker 1>right at the start of the best ball market, right

1:03:07.480 --> 1:03:09.600
<v Speaker 1>is a really important day because you if you're thinking

1:03:09.600 --> 1:03:12.880
<v Speaker 1>about returning capital to shareholders and you're thinking about the

1:03:12.920 --> 1:03:16.640
<v Speaker 1>complete dividend plus buy back picks nothing before. There's no

1:03:16.720 --> 1:03:19.160
<v Speaker 1>comparability before and after eight two. So the safe harbord

1:03:19.200 --> 1:03:22.680
<v Speaker 1>is important. So so even if companies have a symmetric information,

1:03:22.720 --> 1:03:26.200
<v Speaker 1>the safe harbor assures that if they execute their trades

1:03:26.240 --> 1:03:28.520
<v Speaker 1>in a certain way with particular volumes and stakes and

1:03:28.520 --> 1:03:31.000
<v Speaker 1>all that, hence the legal insider hence they're good to go.

1:03:31.400 --> 1:03:34.360
<v Speaker 1>They listen. Who better to know a company's own prospect

1:03:34.400 --> 1:03:38.640
<v Speaker 1>than the management of the company. And that's probably a

1:03:38.640 --> 1:03:42.840
<v Speaker 1>reason why quantz like buy backs and a lot of

1:03:42.880 --> 1:03:48.320
<v Speaker 1>people track insider buying and corporate buy backs, because theoretically

1:03:48.720 --> 1:03:51.520
<v Speaker 1>there should be a pretty solid signal in there. Absolutely,

1:03:52.080 --> 1:03:56.040
<v Speaker 1>So we talked about Shopify, we talked about Domino's I

1:03:56.120 --> 1:04:00.760
<v Speaker 1>want to bring corporate management back to something you out

1:04:00.800 --> 1:04:04.720
<v Speaker 1>and in a previous book, the paradox of skill, which

1:04:04.760 --> 1:04:08.560
<v Speaker 1>states the higher level the level of competition, the more

1:04:08.800 --> 1:04:13.240
<v Speaker 1>luck improves events. Now we know how that works in sports.

1:04:13.960 --> 1:04:16.240
<v Speaker 1>How does that work in investing? How does that work

1:04:16.280 --> 1:04:19.360
<v Speaker 1>in business? Well, I mean I think it works across

1:04:19.360 --> 1:04:22.160
<v Speaker 1>all these domains and just too And I'll just restate

1:04:22.160 --> 1:04:23.880
<v Speaker 1>what you just said. The paradox of skill. Seys and

1:04:23.960 --> 1:04:26.480
<v Speaker 1>activities were both skill and luck and tribute to outcomes

1:04:27.000 --> 1:04:32.640
<v Speaker 1>most things. As skill improves, luck becomes a more important

1:04:32.640 --> 1:04:34.600
<v Speaker 1>determinant of the outcome. So that doesn't seem to make

1:04:34.640 --> 1:04:36.480
<v Speaker 1>any sense. And so the key is to think about

1:04:36.520 --> 1:04:41.160
<v Speaker 1>skill in two different dimensions. The first dimensions absolute skill.

1:04:41.840 --> 1:04:43.360
<v Speaker 1>And I think we'd all agree, and that was really

1:04:43.360 --> 1:04:45.440
<v Speaker 1>our comment about market efficiency. We look around the world,

1:04:45.480 --> 1:04:47.560
<v Speaker 1>I mean, just look at the technology at our fingertips,

1:04:47.600 --> 1:04:50.560
<v Speaker 1>that best practices of training for athletes and so over.

1:04:50.760 --> 1:04:52.960
<v Speaker 1>I mean, I think we'd all agree without a doubt

1:04:53.040 --> 1:04:55.760
<v Speaker 1>that it's as good as it's ever been in terms

1:04:55.760 --> 1:04:59.000
<v Speaker 1>of how we are absolute levels of skill. And we

1:04:59.040 --> 1:05:01.760
<v Speaker 1>can document that when we measure things versus a clock,

1:05:02.000 --> 1:05:04.160
<v Speaker 1>so for example of running and so and so forth.

1:05:05.360 --> 1:05:07.360
<v Speaker 1>But the second dimension is really the key one for

1:05:07.440 --> 1:05:11.120
<v Speaker 1>the paradox of skill, which is a relative skill, and

1:05:11.120 --> 1:05:13.120
<v Speaker 1>the paradise the key to the whole paradox, as it

1:05:13.120 --> 1:05:16.080
<v Speaker 1>says something like when what has happened over time is

1:05:16.120 --> 1:05:19.120
<v Speaker 1>the difference between the very best and the average shrinks

1:05:19.160 --> 1:05:22.320
<v Speaker 1>over time, so everyone becomes a little bit closer to

1:05:22.320 --> 1:05:25.680
<v Speaker 1>one another. Standard deviation of performance shrinks over time, and

1:05:25.760 --> 1:05:28.400
<v Speaker 1>so um, you know, you know, because there you're a

1:05:28.400 --> 1:05:30.760
<v Speaker 1>car guy, right, so you might you might appreciate this,

1:05:30.800 --> 1:05:33.280
<v Speaker 1>but you know my understanding because I read one or

1:05:33.320 --> 1:05:36.240
<v Speaker 1>two papers about this. But you know, the differential in

1:05:36.360 --> 1:05:39.960
<v Speaker 1>the quality of car finishes in the nineteen sixties and seventies,

1:05:40.000 --> 1:05:42.360
<v Speaker 1>I guess, was very high. So you know, you bought

1:05:42.360 --> 1:05:47.600
<v Speaker 1>a Mercedes Benz it really was a better, right bank

1:05:48.960 --> 1:05:53.240
<v Speaker 1>versus you bought some other cheaper right exactly. And so

1:05:53.440 --> 1:05:55.760
<v Speaker 1>now it turns out that you can buy pretty much

1:05:55.760 --> 1:05:57.800
<v Speaker 1>any car. They may not they may not be bank vaults,

1:05:57.840 --> 1:06:00.840
<v Speaker 1>but they're all pretty well put together. And they're finishes

1:06:00.880 --> 1:06:02.480
<v Speaker 1>are all pretty good, and so on and so forth.

1:06:02.480 --> 1:06:04.520
<v Speaker 1>So there's a good example of how you might envision

1:06:05.040 --> 1:06:07.640
<v Speaker 1>how that's changed over time. So I think, yeah, in

1:06:07.760 --> 1:06:10.000
<v Speaker 1>terms of you just when if you want applied to

1:06:10.040 --> 1:06:14.000
<v Speaker 1>businesses best practices and businesses tend to be embraced until autuma.

1:06:14.040 --> 1:06:18.040
<v Speaker 1>Manufacturing might be one example that managerial best practices tend

1:06:18.080 --> 1:06:21.440
<v Speaker 1>to find their ways and to keep people's minds training

1:06:21.440 --> 1:06:23.840
<v Speaker 1>through school, business schools and so on and so forth.

1:06:24.120 --> 1:06:26.400
<v Speaker 1>So yeah, I think broad broadly speaking, this is a

1:06:27.400 --> 1:06:31.040
<v Speaker 1>universal concert. So let me have you addressed two examples

1:06:31.040 --> 1:06:35.840
<v Speaker 1>of this that I think are instructive. One is allocators

1:06:35.840 --> 1:06:40.120
<v Speaker 1>of capital. If you're in the investment management business, there

1:06:40.200 --> 1:06:45.480
<v Speaker 1>really shouldn't be giant outliers and performance over long periods

1:06:45.480 --> 1:06:47.320
<v Speaker 1>of time. There might be over a couple of quarters

1:06:47.360 --> 1:06:50.160
<v Speaker 1>or even a year, but for the most part, and

1:06:50.200 --> 1:06:52.520
<v Speaker 1>we've seen some of this over the past couple of years,

1:06:52.760 --> 1:06:55.800
<v Speaker 1>a few funds have exploded, done really well, some some

1:06:55.880 --> 1:06:58.200
<v Speaker 1>hedge funds that have been all in on crypto, some

1:06:58.320 --> 1:07:01.640
<v Speaker 1>people that were way early to the work at home

1:07:01.960 --> 1:07:06.400
<v Speaker 1>work from homestocks or Tesla or what have you. Is

1:07:06.400 --> 1:07:10.080
<v Speaker 1>the expectation when you see like somebody leading the pack

1:07:10.200 --> 1:07:14.160
<v Speaker 1>by an extraordinary amount that eventually that just mean reverts

1:07:14.240 --> 1:07:17.120
<v Speaker 1>and and there's a degree of lucky timing. I'm not

1:07:17.160 --> 1:07:22.760
<v Speaker 1>even saying luck, but just lucky timing versus skill. How

1:07:22.760 --> 1:07:25.440
<v Speaker 1>do we look at outliers and market performance? Yeah, I

1:07:25.480 --> 1:07:27.440
<v Speaker 1>mean part of the the the answer if you're if

1:07:27.480 --> 1:07:31.440
<v Speaker 1>you're trying to avoid getting uh consumed by the paradox

1:07:31.440 --> 1:07:33.880
<v Speaker 1>of skill in other words, where is the answer is

1:07:33.920 --> 1:07:36.840
<v Speaker 1>to look for easy games? Right, So you're if you

1:07:36.880 --> 1:07:39.560
<v Speaker 1>think you're a skillful person, you don't want to compete

1:07:39.600 --> 1:07:43.560
<v Speaker 1>with other super skillful people. You want to find games

1:07:43.600 --> 1:07:46.880
<v Speaker 1>where your skill tends to be the highest. Right, so

1:07:47.360 --> 1:07:49.840
<v Speaker 1>you know you're Annie Duke. Instead of playing with a

1:07:49.960 --> 1:07:52.640
<v Speaker 1>high stakes table, maybe you play at the next leg

1:07:52.760 --> 1:07:57.400
<v Speaker 1>stakes down where your profit per hours higher because your

1:07:57.440 --> 1:07:59.600
<v Speaker 1>skill differentials higher. So you may be making less money,

1:07:59.600 --> 1:08:02.520
<v Speaker 1>but you're higher skill differential. And so that might be

1:08:02.720 --> 1:08:05.320
<v Speaker 1>that this is the interesting uh sort of almost come

1:08:05.360 --> 1:08:08.480
<v Speaker 1>back to that idea that when there are new markets

1:08:08.560 --> 1:08:11.360
<v Speaker 1>that open up, it can be the case that lots

1:08:11.360 --> 1:08:13.080
<v Speaker 1>of people are sitting at the table. Right. If you

1:08:13.120 --> 1:08:16.000
<v Speaker 1>wanted to continue with this poker analogy, lots of different

1:08:16.000 --> 1:08:18.920
<v Speaker 1>people with varied skills are sitting at the tables, some

1:08:19.000 --> 1:08:21.120
<v Speaker 1>of who know what's going on in others who don't,

1:08:21.520 --> 1:08:24.120
<v Speaker 1>and that those those those can be actually easy games,

1:08:24.280 --> 1:08:26.439
<v Speaker 1>and that's an opportunity set that you're not gonna get

1:08:26.560 --> 1:08:28.800
<v Speaker 1>if you're only buying sp FI fund, that's right. And

1:08:28.800 --> 1:08:31.479
<v Speaker 1>then that those those eventually get tightened up, right, so

1:08:31.520 --> 1:08:34.040
<v Speaker 1>the people that are not the losers end up losing

1:08:34.080 --> 1:08:36.479
<v Speaker 1>money and then they leave the table for for whatever reason,

1:08:36.720 --> 1:08:39.519
<v Speaker 1>and then those seats get filled by more skillful players

1:08:39.520 --> 1:08:41.599
<v Speaker 1>and so on and so forth. So eventually that gets

1:08:41.640 --> 1:08:45.400
<v Speaker 1>sorted out. But you there's there's a long history of markets,

1:08:45.439 --> 1:08:49.080
<v Speaker 1>even as we've evolved toward more efficient broadly speaking, where

1:08:49.080 --> 1:08:52.120
<v Speaker 1>they're these easy games have popped up, and you know,

1:08:52.520 --> 1:08:54.439
<v Speaker 1>even like I was talking to Buddy Mine, who was

1:08:54.439 --> 1:08:57.599
<v Speaker 1>an early options trader, and he's like, you know, they

1:08:57.680 --> 1:09:00.840
<v Speaker 1>was like, it's like the eight is like the eighties, Yeah,

1:09:00.840 --> 1:09:03.240
<v Speaker 1>the nineteen eighties, And he's like, oh, they introduced options

1:09:03.280 --> 1:09:06.439
<v Speaker 1>on certain commodities, right, and they hadn't traded them before

1:09:06.439 --> 1:09:08.880
<v Speaker 1>in this particular exchange. He's like going, and he's like,

1:09:09.439 --> 1:09:11.479
<v Speaker 1>so people start putting up you know, bids and offers

1:09:11.479 --> 1:09:13.080
<v Speaker 1>for things, and he's like, you start figuring out he

1:09:13.080 --> 1:09:15.439
<v Speaker 1>could put he could put on like these costless spreads

1:09:15.479 --> 1:09:19.519
<v Speaker 1>at a guaranteed profit, and he's like, this doesn't make

1:09:19.520 --> 1:09:21.720
<v Speaker 1>any sense. It's not gonna last very long. But like

1:09:22.000 --> 1:09:24.160
<v Speaker 1>my HP twelve C works. And I remember, I'm just

1:09:24.200 --> 1:09:26.320
<v Speaker 1>take advantage of it while I while I get it right.

1:09:26.360 --> 1:09:28.920
<v Speaker 1>So part of the answer, I think that the response,

1:09:29.000 --> 1:09:31.519
<v Speaker 1>the careful response, would be something like, don't don't say

1:09:31.560 --> 1:09:35.160
<v Speaker 1>like these people are automatically just lucky people. The question

1:09:35.200 --> 1:09:37.920
<v Speaker 1>is are they playing in an easy game where they

1:09:38.360 --> 1:09:40.519
<v Speaker 1>bring something to the table that others don't have. They've

1:09:40.600 --> 1:09:43.800
<v Speaker 1>identified the opportunity and I'm taking advantage of it. Now.

1:09:43.800 --> 1:09:46.519
<v Speaker 1>The problem with the problem with easy games, generally speaking,

1:09:46.600 --> 1:09:48.920
<v Speaker 1>is that the last well, ay, they don't last, but

1:09:49.000 --> 1:09:51.000
<v Speaker 1>be if they do last, they tend not to be

1:09:51.080 --> 1:09:54.040
<v Speaker 1>super scalable. So in other words, it's often you can't

1:09:54.080 --> 1:09:56.599
<v Speaker 1>make billions and billions and billions of dollars in an

1:09:56.600 --> 1:09:58.760
<v Speaker 1>easy game because people you know figure it out, so

1:09:59.080 --> 1:10:02.000
<v Speaker 1>they usually tend to be smaller and nicheer and so forth.

1:10:02.160 --> 1:10:03.960
<v Speaker 1>I mean, I remember I was talking to a quant

1:10:03.960 --> 1:10:06.960
<v Speaker 1>firm based in London, and they said that there they

1:10:06.960 --> 1:10:11.920
<v Speaker 1>had some little strategy that was dealing with Chinese retail investors,

1:10:12.320 --> 1:10:14.759
<v Speaker 1>and they said, this thing is like a little money machine,

1:10:14.840 --> 1:10:17.360
<v Speaker 1>like every day we money on this thing, he goes,

1:10:17.400 --> 1:10:20.240
<v Speaker 1>but little it just can't. We just can't do it

1:10:20.280 --> 1:10:22.240
<v Speaker 1>in bigger size. But it's such a nice little thing.

1:10:22.240 --> 1:10:25.120
<v Speaker 1>We just let it keep going, buddy like. But but

1:10:25.200 --> 1:10:28.160
<v Speaker 1>it's it's just like, you know, steady, steady drum beat

1:10:28.160 --> 1:10:31.120
<v Speaker 1>of process. So we see that all the time when

1:10:32.360 --> 1:10:36.080
<v Speaker 1>a firm returns capital to their limited partners and say

1:10:36.320 --> 1:10:40.840
<v Speaker 1>they say, hey, we have enough money to mind this inefficiency,

1:10:40.880 --> 1:10:43.679
<v Speaker 1>but it's not big enough to share with other people.

1:10:44.240 --> 1:10:48.360
<v Speaker 1>And the exceptions when people try and push the envelope

1:10:48.960 --> 1:10:51.639
<v Speaker 1>is you get a long term capital management situation where

1:10:51.640 --> 1:10:55.439
<v Speaker 1>they leveraged up these inefficiencies and eventually the chickens come

1:10:55.439 --> 1:10:59.799
<v Speaker 1>home to roost. So let's put aside the investment side

1:11:00.000 --> 1:11:04.760
<v Speaker 1>of luck versus skill and talk about how does this

1:11:04.840 --> 1:11:08.599
<v Speaker 1>manifest in business. You you have you have lots of

1:11:08.680 --> 1:11:12.840
<v Speaker 1>professional consultant companies mackenzie and go down the list. You

1:11:12.920 --> 1:11:17.679
<v Speaker 1>have all these great business schools turning out these nbas

1:11:17.720 --> 1:11:21.320
<v Speaker 1>and these j ds that are super smart, super insightful.

1:11:21.439 --> 1:11:25.439
<v Speaker 1>They're they're steeped in all the wisdom of the business

1:11:25.439 --> 1:11:29.160
<v Speaker 1>cases that have happened into that environment. Do we really

1:11:29.240 --> 1:11:32.040
<v Speaker 1>see luck playing a role in what companies end up

1:11:32.600 --> 1:11:36.320
<v Speaker 1>being successful? Maybe for a few quarters or years? Um

1:11:36.640 --> 1:11:40.000
<v Speaker 1>does that happen? Oh? Yeah, I mean I think for sure.

1:11:40.479 --> 1:11:43.560
<v Speaker 1>It's actually funny because I are participated in an academic

1:11:43.640 --> 1:11:47.360
<v Speaker 1>seminar where like like a non academic but academic seminar,

1:11:47.439 --> 1:11:49.760
<v Speaker 1>and it was literally about this exact topic, which is

1:11:49.760 --> 1:11:52.519
<v Speaker 1>how much what is the roles skill and luck in

1:11:52.920 --> 1:11:56.240
<v Speaker 1>UM corporate strategy setting? And and interestingly there is an

1:11:56.240 --> 1:11:58.600
<v Speaker 1>academic that took this luck side and academic took the

1:11:58.640 --> 1:12:01.080
<v Speaker 1>skill side. And you know, answer, of course is somewhere

1:12:01.080 --> 1:12:03.679
<v Speaker 1>in between those two. I think your question you're asking

1:12:03.720 --> 1:12:05.439
<v Speaker 1>is a slightly more subtle one, which is has it

1:12:05.560 --> 1:12:08.280
<v Speaker 1>changed over time? And I think that the answer is um.

1:12:08.320 --> 1:12:13.439
<v Speaker 1>That again as right, that's the basic principle is there's

1:12:13.439 --> 1:12:16.760
<v Speaker 1>more uniformity in the skill levels it becomes. Now. Look,

1:12:16.800 --> 1:12:22.360
<v Speaker 1>the answer is for many famous business breakthroughs, and clearly

1:12:22.439 --> 1:12:25.719
<v Speaker 1>this is very true for example, drug development, that almost

1:12:25.760 --> 1:12:27.400
<v Speaker 1>seems like it's I mean those are I mean, I

1:12:27.439 --> 1:12:29.840
<v Speaker 1>don't call them luck, but we'd say that there's a

1:12:29.880 --> 1:12:33.679
<v Speaker 1>high degree of randomness and it's not exactly And so

1:12:33.960 --> 1:12:36.840
<v Speaker 1>you know, you think about although, to be fair, some

1:12:36.920 --> 1:12:40.160
<v Speaker 1>of the new technologies the I forgot what it's called

1:12:40.240 --> 1:12:44.120
<v Speaker 1>the nose on a chip that allows the testing of

1:12:44.240 --> 1:12:49.639
<v Speaker 1>these jillion variations using semiconductors and software rather than RNA.

1:12:49.720 --> 1:12:52.920
<v Speaker 1>What about RNA was an amazing You think about that's

1:12:52.960 --> 1:12:55.519
<v Speaker 1>a decade plus in the making. Two people think it's

1:12:55.560 --> 1:12:59.000
<v Speaker 1>a recent discovery. It's almost twenty years. That's amazing, Like

1:12:59.040 --> 1:13:01.479
<v Speaker 1>you said, twenty years of and d sort of ready

1:13:01.680 --> 1:13:04.040
<v Speaker 1>like all dressed up with no place to go just yet.

1:13:04.040 --> 1:13:06.080
<v Speaker 1>And then when it became time to go, it went.

1:13:06.520 --> 1:13:08.679
<v Speaker 1>And by the way, that thing, I mean, my understanding

1:13:08.720 --> 1:13:10.479
<v Speaker 1>is that these guys had that thing ready to go

1:13:10.640 --> 1:13:14.280
<v Speaker 1>probably a couple of years ago, March of April four,

1:13:14.400 --> 1:13:19.040
<v Speaker 1>specifically March of April and other words, it was ready

1:13:19.080 --> 1:13:21.960
<v Speaker 1>to go, like almost right away, which is astounding. It's

1:13:22.200 --> 1:13:23.880
<v Speaker 1>you know, there's one o the thing I'll just add

1:13:23.960 --> 1:13:25.680
<v Speaker 1>Barry that you know, and we wrote a piece. It

1:13:25.720 --> 1:13:28.120
<v Speaker 1>was in a slightly different context, but the piece was

1:13:28.120 --> 1:13:30.240
<v Speaker 1>called Turn and Face the Strange, and it was about

1:13:30.280 --> 1:13:34.000
<v Speaker 1>why organizations are slow to change. By the way, the

1:13:34.040 --> 1:13:37.519
<v Speaker 1>inspiration for that piece was actually a presentation that Dick

1:13:37.560 --> 1:13:41.519
<v Speaker 1>Taylor gave at the m I. T. Sloan Sports Analytics Conference.

1:13:41.560 --> 1:13:42.880
<v Speaker 1>So this is going to seem a little bit weird

1:13:42.880 --> 1:13:46.639
<v Speaker 1>that a behavioral economist talking into sports conference. But Dick's

1:13:46.640 --> 1:13:49.200
<v Speaker 1>point was something like this, which is, there are certain

1:13:49.240 --> 1:13:52.640
<v Speaker 1>things that we know work analytically is sports, You know,

1:13:52.720 --> 1:13:55.960
<v Speaker 1>the three point shot, going forward on fourth down, stuff

1:13:56.040 --> 1:13:59.599
<v Speaker 1>like that, and uh, it seemed to have taken forever

1:14:00.040 --> 1:14:04.040
<v Speaker 1>ever for teams to actually embrace. And the question is

1:14:04.080 --> 1:14:08.920
<v Speaker 1>why don't teams do it much faster? So this is

1:14:08.960 --> 1:14:10.880
<v Speaker 1>an interesting one where they're there, you know, we know

1:14:11.000 --> 1:14:14.920
<v Speaker 1>that it works in quotes, we know and um, and

1:14:15.000 --> 1:14:17.960
<v Speaker 1>yet the answer is it's not part of the conventional wisdom,

1:14:18.040 --> 1:14:20.160
<v Speaker 1>and it's not part of the coaching guild. It's not

1:14:20.240 --> 1:14:22.479
<v Speaker 1>what you learn as a player when you've grown up.

1:14:22.960 --> 1:14:25.479
<v Speaker 1>And so it takes almost a generation or two for

1:14:25.560 --> 1:14:27.560
<v Speaker 1>these things to get woven. And now, now if you

1:14:27.640 --> 1:14:29.800
<v Speaker 1>watch the NFL going forward on fourth down for the

1:14:29.840 --> 1:14:32.200
<v Speaker 1>most part, and it's not it's for the most part,

1:14:32.200 --> 1:14:35.479
<v Speaker 1>but it's happening much much more frequently so people have

1:14:35.520 --> 1:14:37.759
<v Speaker 1>gotten the memo on these things, especially the younger coaches

1:14:37.800 --> 1:14:43.360
<v Speaker 1>and so forth. The interesting story UM about Taylor is

1:14:43.400 --> 1:14:47.519
<v Speaker 1>when Michael Lewis's money Ball came out, Taylor sends Lewis

1:14:47.520 --> 1:14:51.200
<v Speaker 1>an email or letter saying, Hey, you're talking about Knomen

1:14:51.280 --> 1:14:54.880
<v Speaker 1>and Diversky's work. This is all behavioral finance, which is

1:14:54.920 --> 1:14:59.160
<v Speaker 1>what eventually led to Lewis's book ten years later. Uh.

1:14:59.200 --> 1:15:02.880
<v Speaker 1>The undoing part objects because he didn't realize he had

1:15:02.960 --> 1:15:06.519
<v Speaker 1>really written a work, a book about their work. Kind

1:15:06.520 --> 1:15:10.479
<v Speaker 1>of fascinating. And even with money Ball, it still took

1:15:11.040 --> 1:15:16.000
<v Speaker 1>a decade or two UM for teams like the Boston

1:15:16.080 --> 1:15:20.719
<v Speaker 1>Red Sox to start using things that Lewis had written

1:15:20.760 --> 1:15:23.880
<v Speaker 1>about years and years before and ultimately led the Red

1:15:23.920 --> 1:15:27.400
<v Speaker 1>Sox to a championship. You know, it's interesting. My understanding

1:15:27.439 --> 1:15:30.880
<v Speaker 1>is that UM, Danny and Thinking and writing Thinking Fast

1:15:30.920 --> 1:15:33.679
<v Speaker 1>and Slow, which came out about a decade ago, talked

1:15:33.720 --> 1:15:38.040
<v Speaker 1>to a number of other writers to potentially collaborate with

1:15:38.120 --> 1:15:41.000
<v Speaker 1>him on that. One was Jason's Why, and I think

1:15:41.040 --> 1:15:44.000
<v Speaker 1>Jason's edited about three quoters of Jason I spent thinking

1:15:44.080 --> 1:15:46.200
<v Speaker 1>that thinks about a long time with him on it.

1:15:46.560 --> 1:15:49.680
<v Speaker 1>But the other one was Michael Lewis. Interestingly, so I

1:15:49.680 --> 1:15:52.599
<v Speaker 1>think he actually spent a fair bit of time with

1:15:52.640 --> 1:15:55.360
<v Speaker 1>Michael back when he was thinking about this, and I

1:15:55.360 --> 1:15:57.120
<v Speaker 1>think he obviously went to ultimately and by the way,

1:15:57.160 --> 1:15:59.640
<v Speaker 1>Danny is a beautiful writer, so I recounted writer to

1:16:00.040 --> 1:16:01.760
<v Speaker 1>and ended up doing it on his own. But that's

1:16:01.800 --> 1:16:04.960
<v Speaker 1>an interesting but I think, like you said, between the

1:16:05.000 --> 1:16:08.080
<v Speaker 1>failure thing and spending time with Conum and himself, I

1:16:08.120 --> 1:16:11.080
<v Speaker 1>think that that sort of made it clear to Michael Lewis,

1:16:11.080 --> 1:16:15.000
<v Speaker 1>who's just, by the way, insanely I love that podcast

1:16:15.000 --> 1:16:17.960
<v Speaker 1>you did with him too. He's just an insanely talented guy.

1:16:18.040 --> 1:16:22.280
<v Speaker 1>And anyway, yeah, he's he's been a regular. Some of

1:16:22.320 --> 1:16:26.879
<v Speaker 1>the stuff he's written about finance is just so unique

1:16:27.080 --> 1:16:32.120
<v Speaker 1>and comes from such a special angle. There's there's nobody

1:16:32.160 --> 1:16:38.559
<v Speaker 1>else who has his ability to identify the consensus, find

1:16:38.640 --> 1:16:42.160
<v Speaker 1>the band of misfits that are challenging the consensus and

1:16:42.200 --> 1:16:46.640
<v Speaker 1>are ultimately proven right. And it's just such a great story.

1:16:46.360 --> 1:16:49.559
<v Speaker 1>It works so well whether you're talking about baseball or

1:16:49.640 --> 1:16:54.640
<v Speaker 1>finance or um high high freakingcy trading, or like I

1:16:54.720 --> 1:16:59.880
<v Speaker 1>love that in premonition, it's the Bush white House's strike

1:17:00.280 --> 1:17:05.440
<v Speaker 1>team that essentially creates all of the uh COVID response

1:17:05.680 --> 1:17:09.479
<v Speaker 1>that was ready to go, and we really this really

1:17:09.600 --> 1:17:12.040
<v Speaker 1>didn't need to be three quarters of a million deaths.

1:17:12.080 --> 1:17:16.479
<v Speaker 1>It's quite fascinating. Well, we are way off topic, and

1:17:16.520 --> 1:17:21.080
<v Speaker 1>I've allowed you to allow me to, um disrupt myself.

1:17:21.160 --> 1:17:24.799
<v Speaker 1>So why don't I jump since we're since we're already

1:17:24.840 --> 1:17:27.320
<v Speaker 1>talking about all sorts of other things, why don't I

1:17:27.360 --> 1:17:31.639
<v Speaker 1>jump to our favorite podcast questions? Um, and since we're

1:17:31.680 --> 1:17:35.040
<v Speaker 1>talking about COVID, what have you been doing to keep

1:17:35.080 --> 1:17:39.559
<v Speaker 1>yourself entertained during lockdown? Tell us what Netflix or Amazon

1:17:39.680 --> 1:17:43.599
<v Speaker 1>Prime shows or podcasts you've been been staying busy with

1:17:44.439 --> 1:17:49.800
<v Speaker 1>besides masters and business besides Yeah, um so so Bury

1:17:49.880 --> 1:17:52.720
<v Speaker 1>My My, My confession is what you probably know is

1:17:52.800 --> 1:17:55.120
<v Speaker 1>I don't watch a lot of tea and so I

1:17:55.400 --> 1:17:57.680
<v Speaker 1>don't have any good answers on that. Um I do.

1:17:57.800 --> 1:18:00.120
<v Speaker 1>I do enjoy podcasts, and you know, I probably the

1:18:00.120 --> 1:18:03.240
<v Speaker 1>one I listened to the most frequently is um is

1:18:03.280 --> 1:18:05.920
<v Speaker 1>Patrick O'Shaughnessy's invest like the best, and I think he's

1:18:05.920 --> 1:18:08.200
<v Speaker 1>done it really nice. But I'm also a big fan

1:18:08.240 --> 1:18:12.880
<v Speaker 1>of like Tyler Tyler Cowen's conversations with tyler Um, Russ Reynolds,

1:18:13.080 --> 1:18:14.920
<v Speaker 1>Russ Roberts, part of me. Rus Roberts. By the way,

1:18:14.960 --> 1:18:18.400
<v Speaker 1>Russ Roberts has been doing these sorts of interviews before

1:18:18.439 --> 1:18:20.280
<v Speaker 1>any of us started. He's been doing it for like

1:18:20.320 --> 1:18:22.519
<v Speaker 1>twenty years. So I'm fans of all those guys, but

1:18:22.560 --> 1:18:25.040
<v Speaker 1>I usually go. I usually go if there's someone who

1:18:25.040 --> 1:18:27.599
<v Speaker 1>pops up who I find to be an interesting guest.

1:18:27.800 --> 1:18:30.559
<v Speaker 1>That's usually what motivates me to do that. So that's

1:18:30.600 --> 1:18:32.519
<v Speaker 1>mostly what I do. And then I do. I have

1:18:32.560 --> 1:18:35.160
<v Speaker 1>to say that I it's been an odd thing. I'm

1:18:35.040 --> 1:18:37.040
<v Speaker 1>a I'm a fairly big sports fan, so I do

1:18:37.200 --> 1:18:40.400
<v Speaker 1>enjoy watching sports. So I have to say that one

1:18:40.439 --> 1:18:43.760
<v Speaker 1>for example, even the NFL, I've enjoyed it probably more

1:18:43.840 --> 1:18:45.599
<v Speaker 1>this year than I have in a very long time,

1:18:45.720 --> 1:18:49.080
<v Speaker 1>just for whatever reasons, you know, because there, I mean,

1:18:49.120 --> 1:18:50.559
<v Speaker 1>they play at the games, but it was a very

1:18:50.560 --> 1:18:52.639
<v Speaker 1>different environment. Just feels like it's a little bit back

1:18:52.640 --> 1:18:55.280
<v Speaker 1>to normal, and I've really enjoyed that. So let's talk

1:18:55.280 --> 1:19:00.360
<v Speaker 1>a little bit about your mentors who helped shape your career. Well,

1:19:00.439 --> 1:19:01.920
<v Speaker 1>there are a number of them that come to mind.

1:19:02.400 --> 1:19:04.760
<v Speaker 1>Many many of them are great. H Well, I'll rap

1:19:04.760 --> 1:19:06.640
<v Speaker 1>report we've already talked about, and that I mean he

1:19:06.640 --> 1:19:10.120
<v Speaker 1>would be sort of first and foremost, UM, and not

1:19:10.240 --> 1:19:13.080
<v Speaker 1>just as someone who was a mentor and a teacher

1:19:13.120 --> 1:19:16.320
<v Speaker 1>to me, but also a collaborator. And you know, so

1:19:16.400 --> 1:19:20.720
<v Speaker 1>that that's the whole package. Bill Miller has to be

1:19:20.840 --> 1:19:23.839
<v Speaker 1>up there. You know, Bill, Bill introduced me, for example,

1:19:23.880 --> 1:19:25.800
<v Speaker 1>to the Santa Fe Institute. And I don't know if

1:19:25.800 --> 1:19:29.639
<v Speaker 1>you saw this, but Bill Um recently made very large

1:19:30.520 --> 1:19:33.519
<v Speaker 1>a million dollars, which is a transformational gift to that

1:19:33.560 --> 1:19:36.479
<v Speaker 1>place because it's a relatively small place. And uh so

1:19:36.520 --> 1:19:39.880
<v Speaker 1>that will ensure that sort of complexity science is on

1:19:39.920 --> 1:19:42.080
<v Speaker 1>the scene for for for a long time to come,

1:19:42.080 --> 1:19:45.320
<v Speaker 1>which was really extraordinary. But you know it's not just Um.

1:19:45.360 --> 1:19:46.960
<v Speaker 1>I mean, I think Bill is another one of these guys.

1:19:47.000 --> 1:19:52.400
<v Speaker 1>It has uh an insatiable intellectual curiosity, has a good

1:19:52.479 --> 1:19:56.120
<v Speaker 1>has good taste for ideas UM and just a very

1:19:56.120 --> 1:19:58.960
<v Speaker 1>thoughtful guy. Um. The two other come to mind, you know,

1:19:59.040 --> 1:20:00.640
<v Speaker 1>it's gonna sun a little it on. One is a

1:20:00.640 --> 1:20:03.479
<v Speaker 1>guy named Brady Dougan, who is was a former CEO

1:20:03.520 --> 1:20:06.480
<v Speaker 1>of Credit sweetz Um now has his own firm. But Brady,

1:20:06.560 --> 1:20:08.640
<v Speaker 1>when I was growing up in at equities in the

1:20:09.280 --> 1:20:11.120
<v Speaker 1>Credit Sweeze back in the day. It was always a

1:20:11.120 --> 1:20:13.519
<v Speaker 1>big supporter. And when I went back to Credit Switez

1:20:13.520 --> 1:20:15.840
<v Speaker 1>in two thousand and thirteen, it was because he was

1:20:15.920 --> 1:20:18.920
<v Speaker 1>there and he offered me a really exciting opportunity to

1:20:18.920 --> 1:20:21.760
<v Speaker 1>do that. And probably the last guy I've mentioned is

1:20:21.840 --> 1:20:24.559
<v Speaker 1>Dennis Lynch. You know, I think Dennis. You know, it's

1:20:24.600 --> 1:20:26.759
<v Speaker 1>interesting as I was thinking about what to do next

1:20:26.800 --> 1:20:28.640
<v Speaker 1>and just sat down with Dennis, and you know, he

1:20:28.680 --> 1:20:31.040
<v Speaker 1>had been early reader of a lot of stuff we've done,

1:20:31.080 --> 1:20:35.479
<v Speaker 1>and again creates an incredible environment for work. Every day

1:20:35.560 --> 1:20:38.160
<v Speaker 1>is super exciting for me to get going. I can't

1:20:38.160 --> 1:20:40.639
<v Speaker 1>wait to get going every single day. And as usual,

1:20:40.720 --> 1:20:43.120
<v Speaker 1>I have a longer list of things to do than

1:20:43.160 --> 1:20:45.360
<v Speaker 1>the things I can get done. It's just it's like

1:20:45.400 --> 1:20:47.760
<v Speaker 1>one of these really fun sensations. So those are people

1:20:47.800 --> 1:20:50.800
<v Speaker 1>I would mention that's fantastic. So I know you read

1:20:50.840 --> 1:20:53.920
<v Speaker 1>a lot, So let's talk about what you're reading now

1:20:54.040 --> 1:20:57.040
<v Speaker 1>and what some of your favorite books are. Oh Man alive,

1:20:57.120 --> 1:20:59.400
<v Speaker 1>So I should be more prepared for this one. Uh

1:20:59.479 --> 1:21:02.799
<v Speaker 1>and p Us. I normally shoot these questions over to people,

1:21:03.280 --> 1:21:08.120
<v Speaker 1>but you've you've been through this fourth appearance, so I

1:21:08.200 --> 1:21:10.920
<v Speaker 1>figured out, let me, let me just wing it. I

1:21:11.000 --> 1:21:14.200
<v Speaker 1>know that's bad. So well, what I'm reading right now

1:21:14.360 --> 1:21:17.759
<v Speaker 1>is actually two books simultaneously. Richard Rhodes has a new

1:21:18.680 --> 1:21:23.400
<v Speaker 1>biography of E. O. Wilson, the very famous biologist and

1:21:23.400 --> 1:21:26.960
<v Speaker 1>and you know Richard Rose a very famous, talented biographer.

1:21:26.960 --> 1:21:29.920
<v Speaker 1>And it's just a beautiful book. And I'm familiar with

1:21:29.960 --> 1:21:32.120
<v Speaker 1>el Wilson. By the way. El Wilson wrote a book

1:21:32.160 --> 1:21:36.759
<v Speaker 1>called Consilience, which is you mentioned you keep saying consilient

1:21:37.240 --> 1:21:39.960
<v Speaker 1>head of Concilient Research. And I assume every time everybody

1:21:40.000 --> 1:21:41.200
<v Speaker 1>hears that, they go, I don't know what the heck

1:21:41.240 --> 1:21:45.000
<v Speaker 1>he's talking about. So that's where let's connect that. We'll

1:21:45.040 --> 1:21:48.720
<v Speaker 1>close that and we'll close that loop right there. And

1:21:48.800 --> 1:21:52.040
<v Speaker 1>so I really enjoy that book. Um. I'm also reading

1:21:52.080 --> 1:21:55.479
<v Speaker 1>a book now by Page Harden called The Genetic Lottery,

1:21:55.760 --> 1:21:59.280
<v Speaker 1>So this is really about genetics and uh what we've

1:21:59.360 --> 1:22:03.680
<v Speaker 1>learned about and edics, inequality. A couple of books I

1:22:03.680 --> 1:22:06.519
<v Speaker 1>really enjoyed this year. Stephen Pinker's book on Rationality has

1:22:06.560 --> 1:22:08.200
<v Speaker 1>been wonderful. I don't know if you read that or

1:22:08.240 --> 1:22:11.880
<v Speaker 1>know it, but I was familiar with many of the

1:22:11.920 --> 1:22:13.920
<v Speaker 1>ideas in there. So it wasn't like it was brand

1:22:13.960 --> 1:22:17.160
<v Speaker 1>new stuff. But he presents ideas in a very clear

1:22:17.240 --> 1:22:19.800
<v Speaker 1>and compelling way and ways actually would help me even

1:22:19.840 --> 1:22:23.240
<v Speaker 1>pedagogically as a teacher to explain it to other people.

1:22:23.640 --> 1:22:25.679
<v Speaker 1>And probably I would say my favorite book this year

1:22:25.920 --> 1:22:30.080
<v Speaker 1>was a book by Fred Lodge of all On. It's

1:22:30.080 --> 1:22:33.800
<v Speaker 1>a biography of JFK. So. He's embarked on a two

1:22:33.960 --> 1:22:37.760
<v Speaker 1>part series on JFK. So this is the first one

1:22:37.800 --> 1:22:40.000
<v Speaker 1>from the time he was born in v to when

1:22:40.000 --> 1:22:42.840
<v Speaker 1>he wins the Senate in the nineteen fifties, and then

1:22:42.840 --> 1:22:45.200
<v Speaker 1>the second piece will be obviously sort of packed in

1:22:45.240 --> 1:22:48.479
<v Speaker 1>the last roughly eight or ten years of his life.

1:22:48.960 --> 1:22:51.439
<v Speaker 1>But uh, I you know, and I obviously knew the

1:22:51.439 --> 1:22:54.320
<v Speaker 1>basic profile of Kennedy, but it was I learned just

1:22:54.360 --> 1:22:56.960
<v Speaker 1>a ton about him. I learned a ton about his family,

1:22:57.439 --> 1:22:59.280
<v Speaker 1>which I found to be and it's just beautifully written.

1:22:59.280 --> 1:23:01.120
<v Speaker 1>So I let you learned a lot about world history

1:23:01.120 --> 1:23:02.519
<v Speaker 1>along the way, and so and so forth. So those

1:23:02.520 --> 1:23:05.880
<v Speaker 1>are someone's el mentioned. So those last two scientists EO.

1:23:05.920 --> 1:23:09.439
<v Speaker 1>Wilson A Life and Nature and then JFK. Coming of

1:23:09.479 --> 1:23:12.519
<v Speaker 1>Age in the American Century. Um, those are the two

1:23:12.560 --> 1:23:16.639
<v Speaker 1>books you just you just mentioned. So our final two questions,

1:23:16.680 --> 1:23:19.000
<v Speaker 1>what sort of advice would you give to a recent

1:23:19.080 --> 1:23:23.040
<v Speaker 1>college grad who was interested in a career in either

1:23:23.160 --> 1:23:27.599
<v Speaker 1>investment management or a financial research Well, by the way,

1:23:27.960 --> 1:23:29.800
<v Speaker 1>in many ways, it's a very exciting time. And when

1:23:29.800 --> 1:23:32.519
<v Speaker 1>we talked about these intangibles and you know, from a

1:23:32.640 --> 1:23:35.160
<v Speaker 1>point from the point of view understanding how those work

1:23:35.240 --> 1:23:37.280
<v Speaker 1>and so forth, it it would be pretty exciting. But

1:23:37.640 --> 1:23:39.840
<v Speaker 1>you know, the key for me is always too there.

1:23:39.880 --> 1:23:42.519
<v Speaker 1>There's sort of two things and they're probably a little

1:23:42.520 --> 1:23:45.080
<v Speaker 1>bit hokey, but the first thing is you really have

1:23:45.200 --> 1:23:47.080
<v Speaker 1>to set out to try to learn as much as

1:23:47.120 --> 1:23:49.320
<v Speaker 1>you can, and so a lot of that is reading

1:23:49.320 --> 1:23:53.280
<v Speaker 1>and studying on your own. You know, whenever my kids

1:23:53.320 --> 1:23:55.040
<v Speaker 1>graduated from college and I sort of give him a

1:23:55.080 --> 1:23:58.280
<v Speaker 1>hug and say congratulations and then say recognized. Tomorrow morning

1:23:58.320 --> 1:24:01.000
<v Speaker 1>you wake up and your education begins, right, So it's

1:24:01.040 --> 1:24:03.479
<v Speaker 1>it's an ongoing process. Um. And then the second thing

1:24:03.600 --> 1:24:05.960
<v Speaker 1>is it's it's tricky to do when you're young, but

1:24:06.120 --> 1:24:08.400
<v Speaker 1>the key is as soon as you can is defined

1:24:08.640 --> 1:24:11.800
<v Speaker 1>an organization where you feel comfortable and can contribute, and

1:24:11.840 --> 1:24:14.080
<v Speaker 1>just the culture of the organization where you work is

1:24:14.200 --> 1:24:17.639
<v Speaker 1>such a big deal. I guess the thing that maybe

1:24:17.680 --> 1:24:20.120
<v Speaker 1>is what people are asking for more overtly is it

1:24:20.160 --> 1:24:21.840
<v Speaker 1>would go back to this thing on easy games. So

1:24:21.840 --> 1:24:24.719
<v Speaker 1>if you're st of saying, like where where are things exciting?

1:24:24.760 --> 1:24:26.879
<v Speaker 1>The answer is to try not to do what everybody

1:24:26.880 --> 1:24:29.599
<v Speaker 1>else is doing. Are their pockets or areas where you

1:24:29.720 --> 1:24:31.960
<v Speaker 1>can do something it's a little bit different, a little

1:24:31.960 --> 1:24:34.720
<v Speaker 1>bit maybe more niche for now, or something that might

1:24:34.760 --> 1:24:38.719
<v Speaker 1>grow or evolve quite quite interesting. And our final question,

1:24:39.400 --> 1:24:42.200
<v Speaker 1>what do you know about the world of investing management

1:24:42.280 --> 1:24:45.240
<v Speaker 1>today that you wish you knew thirty or so years

1:24:45.280 --> 1:24:47.559
<v Speaker 1>ago when you were first getting started. Yeah, I mean

1:24:47.600 --> 1:24:49.720
<v Speaker 1>I think that the I mean I don't think that

1:24:49.800 --> 1:24:52.120
<v Speaker 1>I didn't know this, but I think I underappreciate it,

1:24:52.160 --> 1:24:54.840
<v Speaker 1>which is just the central importance of people for all

1:24:54.880 --> 1:24:58.160
<v Speaker 1>this stuff. And you know, one of the pieces that's

1:24:58.160 --> 1:25:00.320
<v Speaker 1>in one of our cues, so something we're or write

1:25:00.320 --> 1:25:03.200
<v Speaker 1>on I've very fully outlined in this report is a

1:25:03.280 --> 1:25:07.000
<v Speaker 1>report about feedback. So one of the really difficult things

1:25:07.040 --> 1:25:09.599
<v Speaker 1>in our world is to get feedback, especially in investing.

1:25:09.640 --> 1:25:13.080
<v Speaker 1>So if you're buying selling stocks, ultimately it's about the

1:25:13.080 --> 1:25:16.160
<v Speaker 1>stocks performing well. But you know, there's there's very little

1:25:16.280 --> 1:25:21.000
<v Speaker 1>quality intermediate feedback. But I start the piece off by

1:25:21.040 --> 1:25:24.280
<v Speaker 1>talking about riffing off of work by Phil Tetlock at

1:25:24.280 --> 1:25:27.600
<v Speaker 1>the University of Pennsylvania on the super forecasters, and what

1:25:27.640 --> 1:25:29.400
<v Speaker 1>they were able to sort of figure out is that

1:25:29.439 --> 1:25:33.800
<v Speaker 1>these super forecasters have certain profiles and those profiles tend

1:25:33.840 --> 1:25:36.280
<v Speaker 1>to be a key part of what makes them effective

1:25:36.320 --> 1:25:38.559
<v Speaker 1>at what they do. And there are lots of aspects

1:25:38.600 --> 1:25:40.439
<v Speaker 1>of it, but one only one that I'll mention it's

1:25:40.479 --> 1:25:43.719
<v Speaker 1>really important, which is this idea of being actively open minded.

1:25:43.880 --> 1:25:46.920
<v Speaker 1>Active open mindedness is the key, right, and that means

1:25:46.960 --> 1:25:50.280
<v Speaker 1>that you're not not only willing to pursue contemplate points

1:25:50.320 --> 1:25:52.439
<v Speaker 1>of view that are different than yours, but you're actually

1:25:52.479 --> 1:25:55.800
<v Speaker 1>willing to seek them out. And I'll just say that,

1:25:55.840 --> 1:25:57.640
<v Speaker 1>you know, we all like to think that we do this.

1:25:57.800 --> 1:26:01.120
<v Speaker 1>The answer is no, not really right, Because once you've

1:26:01.120 --> 1:26:03.360
<v Speaker 1>made up your mind about something, the past least path

1:26:03.479 --> 1:26:06.280
<v Speaker 1>least resistance is just like look for stuff that confirms

1:26:06.280 --> 1:26:08.960
<v Speaker 1>it and just keep on moving, right, because if you're

1:26:08.960 --> 1:26:10.800
<v Speaker 1>confronted if you have to change your mind or two things,

1:26:10.840 --> 1:26:12.400
<v Speaker 1>when you have to change your mind, which itself is

1:26:12.400 --> 1:26:13.840
<v Speaker 1>a pain, and then you may have to change what

1:26:13.880 --> 1:26:16.680
<v Speaker 1>you do right, which is actually another pain right, so

1:26:16.800 --> 1:26:19.000
<v Speaker 1>most of us would rather not be bothered with that.

1:26:19.160 --> 1:26:20.800
<v Speaker 1>So so that would be the one thing I just say,

1:26:20.800 --> 1:26:24.040
<v Speaker 1>investment management is is it's this drum beat, but it's

1:26:24.080 --> 1:26:27.519
<v Speaker 1>the people and the culture is becoming really the secret

1:26:27.520 --> 1:26:30.800
<v Speaker 1>sauce to long term success. Really good answer. It's funny

1:26:30.880 --> 1:26:35.040
<v Speaker 1>we we started talking about we started talking out about

1:26:35.120 --> 1:26:39.559
<v Speaker 1>inflation and never got back to it. When I have

1:26:39.840 --> 1:26:44.680
<v Speaker 1>my um, I have my expectations in my viewpoint, and

1:26:44.760 --> 1:26:48.360
<v Speaker 1>whenever I want to share a chart that supports that

1:26:48.479 --> 1:26:53.360
<v Speaker 1>view part I that viewpoint, I always try to describe

1:26:53.400 --> 1:26:58.479
<v Speaker 1>it on Twitter as today in confirmed firming my priors here,

1:26:58.640 --> 1:27:01.840
<v Speaker 1>something that agrees with something already said. So at least

1:27:01.880 --> 1:27:05.920
<v Speaker 1>there's a tiny hint of recognition that hey, you're not thinking,

1:27:06.040 --> 1:27:09.160
<v Speaker 1>you're just you're just finding something that agrees with you

1:27:09.200 --> 1:27:12.280
<v Speaker 1>and sharing it, which we all do. But at least

1:27:12.320 --> 1:27:14.519
<v Speaker 1>if you admit it, you're you're part of the way

1:27:14.560 --> 1:27:16.719
<v Speaker 1>to us. I would say, Barry, I don't know exactly

1:27:16.720 --> 1:27:19.040
<v Speaker 1>when we met, but I remember one It was an

1:27:19.040 --> 1:27:22.000
<v Speaker 1>early instance where I wrote something and then you wrote

1:27:22.040 --> 1:27:24.640
<v Speaker 1>me back and you said, hey, man, you wrote this

1:27:24.720 --> 1:27:27.120
<v Speaker 1>thing and it's not right, and you know you you

1:27:27.200 --> 1:27:29.080
<v Speaker 1>got this basically thinking wrong. I think it was like

1:27:29.400 --> 1:27:33.160
<v Speaker 1>weapons of mass destruction, you know, prediction market or something

1:27:33.280 --> 1:27:35.519
<v Speaker 1>that there was something like a weapons and I wrote

1:27:35.520 --> 1:27:37.920
<v Speaker 1>something about weapons of mass destruction and and you know

1:27:38.040 --> 1:27:40.040
<v Speaker 1>Iraq or something. You go that this is not right.

1:27:40.520 --> 1:27:43.200
<v Speaker 1>And I thought to myself, like, you know, first of all,

1:27:43.240 --> 1:27:46.000
<v Speaker 1>so of course it's someone's telling you're not right, But

1:27:46.000 --> 1:27:47.880
<v Speaker 1>but the way you did it was really interesting, and

1:27:47.920 --> 1:27:50.400
<v Speaker 1>I thought, really constructive. So it was not like, dude,

1:27:50.439 --> 1:27:53.880
<v Speaker 1>you're an idiot. It was It was not like that day.

1:27:54.160 --> 1:27:56.439
<v Speaker 1>Maybe maybe maybe at least that's not the way you

1:27:56.479 --> 1:27:58.720
<v Speaker 1>came across. You came across saying like, hey, I think

1:27:58.760 --> 1:28:01.000
<v Speaker 1>you got this thing wrong. Are some other stuff that

1:28:01.040 --> 1:28:03.240
<v Speaker 1>you may want to consider when you think about this

1:28:03.280 --> 1:28:05.280
<v Speaker 1>topic going forward. And I was like, you know what,

1:28:05.680 --> 1:28:08.840
<v Speaker 1>I'm down with that that that's good. Like right, it

1:28:08.880 --> 1:28:10.880
<v Speaker 1>was shot. Maybe it was shockingly diplomatic, but that's the

1:28:10.880 --> 1:28:13.000
<v Speaker 1>way to do it. So it wasn't about you took

1:28:13.000 --> 1:28:16.160
<v Speaker 1>it immediately away from being about me and immediately about

1:28:16.400 --> 1:28:18.479
<v Speaker 1>there might be other ways to Did it change your minds?

1:28:18.520 --> 1:28:20.280
<v Speaker 1>Did it affect you? It did change. I think it

1:28:20.280 --> 1:28:22.320
<v Speaker 1>did change my mind because I think and I think

1:28:22.360 --> 1:28:24.080
<v Speaker 1>you end up being sort of the front end of

1:28:24.080 --> 1:28:27.760
<v Speaker 1>what ended up being the correct interpretation what was going on,

1:28:28.400 --> 1:28:30.519
<v Speaker 1>and well that I do all the time. It's a

1:28:30.560 --> 1:28:35.800
<v Speaker 1>lonely place, but I will tell you the challenge is

1:28:36.680 --> 1:28:40.320
<v Speaker 1>when you're right about that sort of front end stuff,

1:28:40.360 --> 1:28:43.080
<v Speaker 1>you're not always right. We thought you're gonna be wrong frequently.

1:28:43.640 --> 1:28:46.599
<v Speaker 1>You have to be ready to say and that's why

1:28:46.680 --> 1:28:48.680
<v Speaker 1>every year I put out, hey, this is what I

1:28:48.720 --> 1:28:50.920
<v Speaker 1>got wrong here in my mea culpus, because if you

1:28:51.000 --> 1:28:53.439
<v Speaker 1>don't do that, you have no right to say to

1:28:53.600 --> 1:28:57.160
<v Speaker 1>a Michael Mobson, hey dude, I think you're not right

1:28:57.200 --> 1:29:00.519
<v Speaker 1>about this. Take a look at a look at that anyway.

1:29:00.520 --> 1:29:02.840
<v Speaker 1>I appreciate that because you actually did it in a

1:29:02.840 --> 1:29:07.760
<v Speaker 1>way that was tactful and respectful, and that was I

1:29:07.760 --> 1:29:17.200
<v Speaker 1>think just take credit for I'll definitely, uh, I definitely will. Hey, Mike,

1:29:17.520 --> 1:29:20.599
<v Speaker 1>this has been just fantastic. Thank you so much for

1:29:21.040 --> 1:29:24.479
<v Speaker 1>being so generous with your time. We have been speaking

1:29:24.479 --> 1:29:29.080
<v Speaker 1>with Michael Mobison. He is the head of Concilient Research

1:29:29.680 --> 1:29:35.280
<v Speaker 1>at Counterpoint Global at Morgan Stanley's investment management group. If

1:29:35.320 --> 1:29:38.040
<v Speaker 1>you enjoy this conversation, Well, be sure and check out

1:29:38.080 --> 1:29:41.080
<v Speaker 1>any of the previous three hundred and nine two ones

1:29:41.160 --> 1:29:44.080
<v Speaker 1>we've done prior. I promised by the time we get

1:29:44.120 --> 1:29:46.680
<v Speaker 1>to four hundred, will we'll start getting these right. We

1:29:46.800 --> 1:29:50.400
<v Speaker 1>love your comments, feedback and suggestions right to us at

1:29:51.080 --> 1:29:54.120
<v Speaker 1>m IB podcast at Bloomberg dot net. You can follow

1:29:54.160 --> 1:29:56.479
<v Speaker 1>me on Twitter at rid Halts. Sign up for a

1:29:56.560 --> 1:29:59.760
<v Speaker 1>daily reading list at rialts dot com. I would be

1:30:00.000 --> 1:30:01.880
<v Speaker 1>miss if I did not thank the crack staff that

1:30:01.960 --> 1:30:05.080
<v Speaker 1>helps us put these together each week. Paris World is

1:30:05.120 --> 1:30:09.400
<v Speaker 1>my producer, Michael Batnick is my head of research. Atika

1:30:09.479 --> 1:30:13.519
<v Speaker 1>val Bron is our project manager. I'm Barry Rihults. You've

1:30:13.520 --> 1:30:17.000
<v Speaker 1>been listening to my student business on Bloomberg Radio.