WEBVTT - Interview With Michael Mauboussin: Masters in Business (Audio)

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<v Speaker 1>This week on the podcast, we have a special repeat guest,

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<v Speaker 1>and he is one of my favorite people in finance.

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<v Speaker 1>His name is Michael Mobisan and he is the chief

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<v Speaker 1>strategist at Credit Swiss First Boston. UH. He used to

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<v Speaker 1>work with Bill Miller over at leg Mason, who actually

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<v Speaker 1>very recently just bought himself private. I really love the

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<v Speaker 1>work of Mobisan. He I think he is a unknown

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<v Speaker 1>or relatively unknown rock star. I find the way he

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<v Speaker 1>looks at the world, the framework uh he creates two

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<v Speaker 1>understand finance, understand how investors behave UH to be just

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<v Speaker 1>absolutely fascinating and tremendously, tremendously insightful. UH. He is one

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<v Speaker 1>of the few guests that we have invited back for

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<v Speaker 1>a second time, and truth be told, our first interview,

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<v Speaker 1>I was pretty uh. Met is probably the the nicest

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<v Speaker 1>thing I could say about my own performance. He's always

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<v Speaker 1>awesome and and I think you'll really enjoy this. So,

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<v Speaker 1>with no further ado, here is my conversation with Michael Mobison.

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<v Speaker 1>This is Masters in Business with Barry Ridholds on Bloomberg Radio.

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<v Speaker 1>My special guest this week is Michael Mobisan. He is

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<v Speaker 1>the head of Global Financial Strategies at Credit Swiss, he

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<v Speaker 1>has quite the curriculum VITA. Previously, he was chief investment

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<v Speaker 1>strategist at leg Mason Capital Management, working with famed investor

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<v Speaker 1>Bill Miller. He's been a professor at the Columbia School

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<v Speaker 1>of Business since, where he's won numerous awards for teaching excellence,

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<v Speaker 1>as well as being named to the Institutional Investors All

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<v Speaker 1>Star Research Team. He is the author of a number

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<v Speaker 1>of books, most recently The Success Equation, Untangling Skill and

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<v Speaker 1>Luck in Business, Sports and Investing, and he is also

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<v Speaker 1>the author of some of the most interesting white papers

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<v Speaker 1>in all of finance. Michael Mobiso, welcome back to Bloomberg.

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<v Speaker 1>Thanks very awesome to do with you. So you and

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<v Speaker 1>I know each other for a while, and I've been

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<v Speaker 1>a fan of the sort of work you've done on

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<v Speaker 1>a number of things. Let's let's start out with a

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<v Speaker 1>quote of yours and see where you want to go

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<v Speaker 1>with this. You said, perhaps the single greatest error in

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<v Speaker 1>the investment business is a failure to distinguish between the

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<v Speaker 1>knowledge of a company's fundamentals and the expectations implied by

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<v Speaker 1>market price. What exactly do you mean by that? Yeah, So,

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<v Speaker 1>in order to make money in markets you have to

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<v Speaker 1>have a belief that's different than what the market believes.

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<v Speaker 1>And the general tendency we all have is if things

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<v Speaker 1>are going well, we want to buy, and we know that,

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<v Speaker 1>of course from aggregate investor behavior, and when things are

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<v Speaker 1>going poorly, we want to sell. But the way to

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<v Speaker 1>make money is to have a view that's different than

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<v Speaker 1>the market. And the metaphor that works the most vividly

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<v Speaker 1>is the racetrack. Right. If you're a handicapper and you

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<v Speaker 1>want to make money, there are two things that are important.

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<v Speaker 1>One is how fast the horse is gonna run, we'll

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<v Speaker 1>call that the fundamentals. And the second are the odds

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<v Speaker 1>and the toweboard. And the way you make money is

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<v Speaker 1>not picking the winner. The way you make money is

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<v Speaker 1>picking miss price odds. And so that idea really carries

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<v Speaker 1>over to the world investing. So I think it's most

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<v Speaker 1>of us investors we sort of blur those two things.

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<v Speaker 1>And I'll mention it kind of a funny story. I

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<v Speaker 1>was in a big money management organization. They said, is

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<v Speaker 1>there anything we could do that would be radical you

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<v Speaker 1>in terms of how we approached the job. I said,

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<v Speaker 1>here's an idea for you have half your analysts only

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<v Speaker 1>work on fundamental stuff, right, one guy just works on

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<v Speaker 1>Apple's future, you know, sales and profits and so forth,

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<v Speaker 1>and then have the other guy just work on the

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<v Speaker 1>expectations what does a hundred dollar stock price mean for performance?

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<v Speaker 1>And then bring the two people together at the very

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<v Speaker 1>last minute and see what happens, right, Because the problem

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<v Speaker 1>is we tend to meld those two And I would

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<v Speaker 1>say the great investors are those that really do think

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<v Speaker 1>about those things separately. And I think it's a it's

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<v Speaker 1>a real challenge for the rest of us. Again, things

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<v Speaker 1>are going well, you want to buy it, things are

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<v Speaker 1>going bad that you want to sell it, and you

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<v Speaker 1>don't make those distinctions the way you should. What was

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<v Speaker 1>the reaction to that proposal? And they kind of they

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<v Speaker 1>kind of said, oh, that's kind of a cool idea. Yeah,

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<v Speaker 1>see you later, So go very far. The interesting thing

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<v Speaker 1>is when I when I speak with the quants, when

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<v Speaker 1>I speak with investors with a mathematical basis, they tend

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<v Speaker 1>to do pretty much what exactly what you're saying is

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<v Speaker 1>they have an understanding of what the fundamental metrics are,

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<v Speaker 1>and then their quantitative overlay is here's what we've seen

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<v Speaker 1>in price relative to value, relative to book, relative to

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<v Speaker 1>all these metrics. Hey, these this little subgroup looks wildly

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<v Speaker 1>mispriced exactly, so I think the quantz I mean, this

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<v Speaker 1>is another I'm sure we'll talk more about this, but

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<v Speaker 1>I think the quants obviously have some of this captured

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<v Speaker 1>in the way they approach the world, which makes enormous

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<v Speaker 1>amounts of sense. The questions, are there things that fundamental

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<v Speaker 1>analyst can do that quants can't do? Are there thing

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<v Speaker 1>nuances they can pick up that might be? And that's

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<v Speaker 1>an interesting sub separate conversation, but right, the virtue of quants,

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<v Speaker 1>or even even basic rules for buying and selling are

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<v Speaker 1>precisely you take the emotion out and that you're making

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<v Speaker 1>those two the quantity of the fundamentals and expectations too separate.

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<v Speaker 1>So anyone who's systematic, anyone who involved who is using

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<v Speaker 1>some form of screening in order to help determine anybody

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<v Speaker 1>who's using it's almost a cliche these days, but a

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<v Speaker 1>factor or a dimension small cap value, momentum, quality, etcetera.

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<v Speaker 1>They're using the math in order to help identify that

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<v Speaker 1>that gulf on thing. That's right, I mean, the one

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<v Speaker 1>thing this is a little bit off Barry, but I

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<v Speaker 1>think this is interesting. So one of the things that

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<v Speaker 1>I think a lot about is this idea of freestyle chess.

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<v Speaker 1>I don't know if we've talked about this before, have

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<v Speaker 1>you may know this? So you know, cas Brow loses

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<v Speaker 1>Deep Blue, and so machine beats man. Fine, But surely

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<v Speaker 1>thereafter what what emerged with something called freestyle chess? And

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<v Speaker 1>I means you and I are playing a match, but

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<v Speaker 1>we can avail ourselves or whatever aids we want. So

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<v Speaker 1>we and on computer programs you can call your lifeline

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<v Speaker 1>to your grand master, buddy or whatever it is. And

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<v Speaker 1>it turns out these freestyle teams are better than the

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<v Speaker 1>programs by themselves or of course any man or person. Right,

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<v Speaker 1>So man plus machine beats man or machine, which is

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<v Speaker 1>really interesting. And there's there's you know, Kevin Kelly, who's

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<v Speaker 1>you know, just wrote a new book called The Inevitable.

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<v Speaker 1>He's got a little section on this in the book.

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<v Speaker 1>So this, to me is a very intriguing model to say.

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<v Speaker 1>Are there cases where most of the time you default

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<v Speaker 1>to the quantitative approach or to the program, But for

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<v Speaker 1>every now and then, if you have a good feel

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<v Speaker 1>for the game, you can step in and do something

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<v Speaker 1>that's a little bit different that adds value. Now that's

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<v Speaker 1>open open question whether that's true and investing, But to me,

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<v Speaker 1>that's a really intriguing model for thinking about what where

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<v Speaker 1>sort of humans and quantitative techniques may merge in the future. Well,

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<v Speaker 1>we saw in late two thousand and seven and again

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<v Speaker 1>a couple of years ago where all the quants kind

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<v Speaker 1>of walking in lotstep and following their programs, and some

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<v Speaker 1>see change took place, whether it was the financial crisis

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<v Speaker 1>or something more recent, and even the math still got shelax.

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<v Speaker 1>Sometimes the ground rules changed sufficiently that hey, whatever your

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<v Speaker 1>methodology is is gonna at least temporarily be wildly out

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<v Speaker 1>of favor. Which leads me to an interesting question. Um,

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<v Speaker 1>so much of this stuff is not particularly intuitive, and

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<v Speaker 1>think twice you use the phrase counter intuition. What is counterintuition? Well,

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<v Speaker 1>I'm not even sure that's a word. My editor said

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<v Speaker 1>that would be a good subtitle, but no, connor intuition.

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<v Speaker 1>The big idea think twice is when we're faced with

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<v Speaker 1>certain types of situations, our minds are naturally gonna want

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<v Speaker 1>to think about the problem one way when there's a

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<v Speaker 1>better way to think about it. Right, and so counterintuition

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<v Speaker 1>is saying, hey, can I check myself and say I

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<v Speaker 1>should think about it more effectively. Let me give an

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<v Speaker 1>example to very famous one comes from Danny Kahneman, who

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<v Speaker 1>obviously you know great psychologists, won the Nobel Price. He

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<v Speaker 1>was our guest last week. Yeah, how is that? I

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<v Speaker 1>gotta listen to it. He's awesome. Right, there is a

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<v Speaker 1>fascinating story I'll share with you about about him in

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<v Speaker 1>uh in the podcast portion, the idea is the inside.

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<v Speaker 1>It calls the inside versity outside of you. So, Barry,

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<v Speaker 1>if I give you a problem, it could be anything.

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<v Speaker 1>It could be how long will take your remodel your kitchen,

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<v Speaker 1>how much it will cost, or how the asset class do.

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<v Speaker 1>The classic way to think about it, See if this

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<v Speaker 1>resonates is you gather tons of information, you combine it

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<v Speaker 1>with your inputs and your project into the future, right

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<v Speaker 1>and left our own devices. That's how we solve problems.

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<v Speaker 1>The outside view is by by contrast, is thinking about

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<v Speaker 1>your problems in an instance of a larger reference class,

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<v Speaker 1>basically asking what happened when other people are in this

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<v Speaker 1>situation before. And it's a very unnatural way to think

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<v Speaker 1>a because you have to leave aside this cherish information

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<v Speaker 1>and be you have to find and avail yourself of

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<v Speaker 1>this reference class. Take yourself out of yourself and look

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<v Speaker 1>at it exactively. And let me give you an example.

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<v Speaker 1>It's a trivial on Let's say you are remodeling your kitchen. Right,

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<v Speaker 1>so you sit down with the contractor, you pick out

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<v Speaker 1>all stuff, and you're all set to go where you've

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<v Speaker 1>gotta budget. And so the work starts and your neighbor

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<v Speaker 1>strolls over, say, Barry, what's going on. You go, Yeah,

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<v Speaker 1>we're remodeling your kitchen. It's gonna cost us X and

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<v Speaker 1>it's gonna will be done by this day. What does

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<v Speaker 1>your neighbor say to you, knowing nothing about the details? Right,

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<v Speaker 1>something like double the money, double the time, or something along. Right,

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<v Speaker 1>you have all the inside view, right, you have all

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<v Speaker 1>the ins he's just doesn't know about, but he's got

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<v Speaker 1>the outside of you. So the point is that psychologists

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<v Speaker 1>have demonstrated that introducing the outside of you almost always,

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<v Speaker 1>almost invariably improves the quality of decisions. That's a classic example.

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<v Speaker 1>Your mind naturally goes one way. Counter intuition would tell you,

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<v Speaker 1>let's avail ourselves with this other information and we're gonna

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<v Speaker 1>make more accurate forecasts. And the story Danny Kneman tells

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<v Speaker 1>is when him and a group of psychologists we're working

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<v Speaker 1>on a textbook, and these are folks who specialize in

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<v Speaker 1>cognitive eras and foibles of of the mind. Uh, they

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<v Speaker 1>ended up taking far beyond what their their consensus was,

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<v Speaker 1>and it was it was right, uh, right in the

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<v Speaker 1>sweet spott of what you're talking about. I'm Barry Ritolts.

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<v Speaker 1>You're listening to Masters in Business on Bloomberg Radio. My

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<v Speaker 1>special guest today is Michael Mobisan. He is head of

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<v Speaker 1>Global Financial Strategies of Credit Swiss and author of numerous books,

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<v Speaker 1>most recently The Success Equation Untangling Skill and Luck in Business,

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<v Speaker 1>Sports and Investing. I love that title. It's so it's

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<v Speaker 1>so fascinating. Let's let's pull a um a phrase out

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<v Speaker 1>of that book. And and have you discussed that. I

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<v Speaker 1>really enjoyed quote. Our love of stories and our need

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<v Speaker 1>to connect cause and effect leads to all sorts of problems.

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<v Speaker 1>The blend of those two ingredients leads us to believe

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<v Speaker 1>that the past was inevitable and to underestimate what else

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<v Speaker 1>might have happened. So obviously that applies to investing, but

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<v Speaker 1>it also applies to sports and business to talk to them. Absolutely,

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<v Speaker 1>it's a It is fascinating and bear you know when

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<v Speaker 1>you when when an author puts down a book, you

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<v Speaker 1>you've been through the same process. There may be a

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<v Speaker 1>couple of ideas that keep banging around in your head

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<v Speaker 1>and for me, this is one of those ideas. Um.

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<v Speaker 1>The work here was done by professor named Michael Gazzaniga,

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<v Speaker 1>who's a neuroscientist and and he did famous work on

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<v Speaker 1>so called split brain patients. So these are people who

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<v Speaker 1>deabilitating epilepsy, they failed all their treatments and as the

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<v Speaker 1>last of jeffort, they sever the corpus close from the

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<v Speaker 1>bundle of nerves between the two hemispheres of the brain

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<v Speaker 1>left and the right hemisphere. And what allows the researchers

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<v Speaker 1>to do is to figure out what what's going on

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<v Speaker 1>each part of your brain. And to make a long

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<v Speaker 1>story short, what they found and absolutely fascinating researches. And

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<v Speaker 1>in your left hemisphere, which is where your language resides,

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<v Speaker 1>there's a module they now call the interpreter, and the

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<v Speaker 1>job of the interpreter is to close cause and effect loops.

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<v Speaker 1>So I throw an effect at you, and this little

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<v Speaker 1>module in your brain is gonna is gonna try to

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<v Speaker 1>figure out how to close the close the loop. Right,

0:11:38.760 --> 0:11:42.040
<v Speaker 1>So you know, we know the future is buzzing with possibility.

0:11:42.080 --> 0:11:45.080
<v Speaker 1>Everybody gets that. But once an event occurs, all of

0:11:45.160 --> 0:11:49.080
<v Speaker 1>us effortlessly and naturally create a narrative to explain that outcome, right,

0:11:49.120 --> 0:11:52.120
<v Speaker 1>your interpreter. And when that happens, two things kick in.

0:11:52.200 --> 0:11:54.920
<v Speaker 1>The first is hindsight biases. We start to believe that

0:11:54.960 --> 0:11:56.920
<v Speaker 1>we knew what was going to happen with a greater

0:11:56.960 --> 0:11:58.720
<v Speaker 1>probability than we actually did. And by the way, I

0:11:58.760 --> 0:12:01.400
<v Speaker 1>cannot even count how the people have called me or

0:12:01.480 --> 0:12:05.320
<v Speaker 1>emailed me to say I knew Brexit was gonna happen.

0:12:06.480 --> 0:12:08.760
<v Speaker 1>So I said him, immediately, where did you write that down?

0:12:09.400 --> 0:12:12.079
<v Speaker 1>Where's your pile of money from your wealth and your

0:12:12.080 --> 0:12:15.120
<v Speaker 1>built right? I hear this about the financial crisis, So

0:12:15.240 --> 0:12:18.199
<v Speaker 1>anybody could have told this was well, why were you long?

0:12:18.480 --> 0:12:21.800
<v Speaker 1>And I'm actually exposed to banks, home builders and mortgage

0:12:21.840 --> 0:12:24.440
<v Speaker 1>lenders right into the collapse if you knew it was

0:12:24.520 --> 0:12:27.480
<v Speaker 1>coming precisely. And the second thing that happens, which is related,

0:12:27.640 --> 0:12:29.599
<v Speaker 1>is this idea called creeping determines that you start to

0:12:29.600 --> 0:12:31.320
<v Speaker 1>believe that what happened was the only thing that could

0:12:31.320 --> 0:12:33.360
<v Speaker 1>have happened, right, So this is a little module in

0:12:33.400 --> 0:12:35.520
<v Speaker 1>your brain. Now, the tie back to the skill and

0:12:35.600 --> 0:12:38.640
<v Speaker 1>luck stuff is that the interpreter really knows nothing about luck.

0:12:38.720 --> 0:12:41.559
<v Speaker 1>So if something good happens, your mind is going to

0:12:41.640 --> 0:12:44.480
<v Speaker 1>assume that something good was behind it. And something bad happens, again,

0:12:44.520 --> 0:12:47.000
<v Speaker 1>your mind's gonna make So this is a fascinating you know,

0:12:47.000 --> 0:12:48.800
<v Speaker 1>we're in a world that's got a lot of randomness,

0:12:48.880 --> 0:12:50.720
<v Speaker 1>a lot of luck, and we've got a little module

0:12:50.760 --> 0:12:53.080
<v Speaker 1>in our brain that really struggles to understand what happened.

0:12:53.080 --> 0:12:54.840
<v Speaker 1>So so to me the idea and you know, I know,

0:12:54.880 --> 0:12:56.480
<v Speaker 1>you know, one of your guests is Phil Tetlock, who

0:12:56.520 --> 0:12:58.520
<v Speaker 1>was horrific, and you know, Phil talks a lot about

0:12:58.559 --> 0:13:01.080
<v Speaker 1>this idea of counter factuals is being being open obviously

0:13:01.120 --> 0:13:04.720
<v Speaker 1>the future different futures, but also recognizing that the past

0:13:04.800 --> 0:13:07.240
<v Speaker 1>we lived through was only one of many possible pasts.

0:13:07.400 --> 0:13:09.760
<v Speaker 1>That's that's a very unnatural thing to think about, but

0:13:09.800 --> 0:13:11.439
<v Speaker 1>it's also a very fertile thing to think about in

0:13:11.559 --> 0:13:14.040
<v Speaker 1>terms of really understanding the complexity of the world. Warn

0:13:14.040 --> 0:13:19.000
<v Speaker 1>Buffett's partner Charlie Monger is famous for saying, invert, always invert.

0:13:19.280 --> 0:13:21.840
<v Speaker 1>When you're looking at a situation, Assume one of the

0:13:21.880 --> 0:13:25.160
<v Speaker 1>main variables is either zero or a hundred and eighty

0:13:25.200 --> 0:13:27.760
<v Speaker 1>degrees from what it is, and then see how things

0:13:27.800 --> 0:13:29.880
<v Speaker 1>play out. And suddenly you end up with a very

0:13:29.960 --> 0:13:34.000
<v Speaker 1>different set of possible outcomes. Uh. And and the past

0:13:34.200 --> 0:13:36.800
<v Speaker 1>may not have been as as inevitable as as some

0:13:36.840 --> 0:13:40.320
<v Speaker 1>people have suggested. There there are a number of things

0:13:40.520 --> 0:13:43.280
<v Speaker 1>related to this that that are really fascinating. But but

0:13:43.440 --> 0:13:48.760
<v Speaker 1>let's stick with the luck issue and let's try an inversion. So,

0:13:48.760 --> 0:13:52.160
<v Speaker 1>so one of your comments was luck is a residual.

0:13:52.559 --> 0:13:56.320
<v Speaker 1>It's what's left over after you've subtracted skill from the outcome.

0:13:56.640 --> 0:14:01.000
<v Speaker 1>So let's invert that. Uh. If after a decade, I

0:14:01.040 --> 0:14:02.880
<v Speaker 1>think it's safe to say that good luck and bad

0:14:02.920 --> 0:14:06.000
<v Speaker 1>luck should probably cancel out. If you're a business person,

0:14:06.160 --> 0:14:10.040
<v Speaker 1>or an athlete, or a or an investor, maybe not

0:14:10.200 --> 0:14:13.280
<v Speaker 1>a dent. There'll be some outliers, but for a lot

0:14:13.360 --> 0:14:17.840
<v Speaker 1>of them. So can we say that after luck cancels out,

0:14:17.960 --> 0:14:19.800
<v Speaker 1>or you're left with this skill, I think that's a

0:14:19.800 --> 0:14:22.240
<v Speaker 1>fair statement. Um. Now, I would say, when you think

0:14:22.240 --> 0:14:24.680
<v Speaker 1>about luck. There are two different sort of categories where

0:14:24.720 --> 0:14:27.240
<v Speaker 1>with luck is more independent a little bit like you described,

0:14:27.280 --> 0:14:29.680
<v Speaker 1>and that would be athletes or or even money management

0:14:29.680 --> 0:14:33.360
<v Speaker 1>probably realistic. But there are other other elements about luck

0:14:33.360 --> 0:14:35.040
<v Speaker 1>that has a lot of a path dependence. So what

0:14:35.120 --> 0:14:37.560
<v Speaker 1>happened before effects what happens next and so forth. And

0:14:37.560 --> 0:14:40.120
<v Speaker 1>when you think about the success of music sales or

0:14:40.160 --> 0:14:43.520
<v Speaker 1>book sales or any sort of social products, those social

0:14:43.600 --> 0:14:46.480
<v Speaker 1>effects are actually, uh, make it a little bit of

0:14:46.520 --> 0:14:49.440
<v Speaker 1>a different dynamic. So yeah, yeah, the answer is yes.

0:14:49.600 --> 0:14:52.920
<v Speaker 1>Over the longer the sample size, the greater the sample size,

0:14:52.960 --> 0:14:54.920
<v Speaker 1>the more we can we could get a signal from

0:14:55.000 --> 0:14:57.640
<v Speaker 1>skill and less important luck is. So yeah, there's no

0:14:57.760 --> 0:15:00.400
<v Speaker 1>question that's the case. So index thing is as big

0:15:00.440 --> 0:15:02.600
<v Speaker 1>today as it's ever been. I think Vanguard is now

0:15:02.640 --> 0:15:05.680
<v Speaker 1>coming up on four trillion dollars, black Rock is they're already.

0:15:06.320 --> 0:15:08.400
<v Speaker 1>Is it safe to say that a lot of the

0:15:08.440 --> 0:15:11.560
<v Speaker 1>public has looked at this process and said, you know,

0:15:12.000 --> 0:15:14.560
<v Speaker 1>I'm kind of done with stock pickers. I'm just gonna

0:15:14.560 --> 0:15:16.680
<v Speaker 1>index and not have to worry about it anymore. Is

0:15:16.720 --> 0:15:19.280
<v Speaker 1>that a driving factor? And I think there's no question

0:15:19.360 --> 0:15:21.560
<v Speaker 1>about that. And you know, for most people that's an

0:15:21.560 --> 0:15:24.280
<v Speaker 1>absolutely correct prescription. Now, you know, that's an argument you

0:15:24.320 --> 0:15:26.760
<v Speaker 1>can you can't take to the extreme. In other words,

0:15:26.760 --> 0:15:29.320
<v Speaker 1>not every single person can index. There has to be

0:15:29.400 --> 0:15:32.240
<v Speaker 1>some act of management in some way, shape or form

0:15:32.560 --> 0:15:35.000
<v Speaker 1>to basically and by the way, they're creating a positive externality,

0:15:35.000 --> 0:15:38.440
<v Speaker 1>which is basically, efficient markets were good prices that the

0:15:38.480 --> 0:15:41.640
<v Speaker 1>indexers can take advantage of. But for most people that's

0:15:41.640 --> 0:15:43.800
<v Speaker 1>really relevant. And you know, I was just looking at

0:15:43.800 --> 0:15:45.320
<v Speaker 1>the numbers the other day. I mean, I know that

0:15:45.400 --> 0:15:47.920
<v Speaker 1>Jack Bogel started the you know, his index fund in

0:15:47.920 --> 0:15:50.440
<v Speaker 1>the seventies, but really for all intensive purposes, it really

0:15:50.480 --> 0:15:53.280
<v Speaker 1>wasn't even going until sort of late eighties, early nineties, right,

0:15:53.280 --> 0:15:56.960
<v Speaker 1>So this is a fairly new phenomenon we're seeing. And

0:15:56.960 --> 0:15:59.240
<v Speaker 1>and the bulk of the assets at a place like

0:15:59.320 --> 0:16:05.160
<v Speaker 1>Vanguard UH really have have come post financial crisis exactly,

0:16:05.200 --> 0:16:08.080
<v Speaker 1>So so you know, it's interesting. And the other thing

0:16:08.080 --> 0:16:11.160
<v Speaker 1>to think about when you think about that dimension is that,

0:16:11.520 --> 0:16:14.440
<v Speaker 1>you know, active investing the zero sum game in the

0:16:14.520 --> 0:16:18.840
<v Speaker 1>sense that UH, for any particular year, the winner's positive

0:16:18.880 --> 0:16:21.200
<v Speaker 1>alpha have to be offset by losers negative alpha, right,

0:16:21.240 --> 0:16:24.040
<v Speaker 1>just mathematically that has to be the case. So it's

0:16:24.080 --> 0:16:26.120
<v Speaker 1>interesting if you if you say, sort of an analogy

0:16:26.200 --> 0:16:27.840
<v Speaker 1>is sort of the poker table, right, So we have

0:16:27.840 --> 0:16:30.320
<v Speaker 1>guys sitting around the poker table playing one night of poker.

0:16:31.040 --> 0:16:33.120
<v Speaker 1>You know, if the people who are the less capable

0:16:33.160 --> 0:16:37.400
<v Speaker 1>are walking out and indexing right, in effect, who's left

0:16:37.480 --> 0:16:40.720
<v Speaker 1>sitting at the table the most skilled the most skilled players.

0:16:41.240 --> 0:16:43.640
<v Speaker 1>So let's talk a little bit about the paradox of skill,

0:16:44.040 --> 0:16:46.000
<v Speaker 1>and this sets right up the paradox of skills. So

0:16:46.040 --> 0:16:47.680
<v Speaker 1>the paradox of skill, which is not my idea but

0:16:47.720 --> 0:16:50.320
<v Speaker 1>I gave that name, says it at when activities have

0:16:50.400 --> 0:16:52.480
<v Speaker 1>both skill and luck, which is most stuff in life.

0:16:52.760 --> 0:16:55.840
<v Speaker 1>As skill increases, luck becomes more important, which doesn't seem

0:16:55.840 --> 0:16:58.360
<v Speaker 1>to make sense, but they counterintuitive way to think about

0:16:58.400 --> 0:17:00.920
<v Speaker 1>this is luck has a skill has two dimensions. One

0:17:01.000 --> 0:17:04.240
<v Speaker 1>is absolute skill, but the second dimension is relative skill.

0:17:04.320 --> 0:17:06.359
<v Speaker 1>And that's really what it's about when you're thinking about

0:17:06.720 --> 0:17:10.200
<v Speaker 1>outperforming others. And what we've also seen is a collapse

0:17:10.560 --> 0:17:13.000
<v Speaker 1>of relative skill. So say the fancier way to say,

0:17:13.000 --> 0:17:15.840
<v Speaker 1>it's a standard deviation of skills gone down. So one

0:17:15.840 --> 0:17:18.719
<v Speaker 1>examples in batting average in baseball or the the average

0:17:18.720 --> 0:17:21.440
<v Speaker 1>batting average doesn't change all that much because it's picture

0:17:21.520 --> 0:17:25.400
<v Speaker 1>hitter interaction, but the standard deviations collapse, and as a consequence,

0:17:25.560 --> 0:17:29.200
<v Speaker 1>there aren't these sort of extreme hitters. No more, No more.

0:17:29.200 --> 0:17:32.520
<v Speaker 1>Ted Williams, I'm Barry Ridults. You're listening to Masters in

0:17:32.560 --> 0:17:36.960
<v Speaker 1>Business on Bloomberg Radio. My special guest today is Michael Mobisan.

0:17:37.400 --> 0:17:40.840
<v Speaker 1>He is the head of Global financial Strategies at Credit Swiss,

0:17:41.240 --> 0:17:45.280
<v Speaker 1>previously chief investment strategist at leg Mason, working with Bill

0:17:45.320 --> 0:17:49.720
<v Speaker 1>Miller Uh Professor of Finance at Columbia Business School, and

0:17:50.040 --> 0:17:53.159
<v Speaker 1>author of numerous books. Let's talk a little bit about

0:17:53.200 --> 0:17:58.280
<v Speaker 1>how the great investors think and again another quote of yours,

0:17:58.320 --> 0:18:02.240
<v Speaker 1>I'm gonna pull what is being wrong? Teach us about

0:18:02.280 --> 0:18:04.959
<v Speaker 1>being right? It's a fascinating question. And by the way,

0:18:05.000 --> 0:18:07.639
<v Speaker 1>there's a great book by Katherine Schulz basically Being Wrong.

0:18:07.680 --> 0:18:11.120
<v Speaker 1>Of that title. Here's the interesting thing, Barry. We wake

0:18:11.240 --> 0:18:14.840
<v Speaker 1>up every day and think that what we believe is right.

0:18:15.200 --> 0:18:20.359
<v Speaker 1>What yours in your head is what you think is right.

0:18:20.400 --> 0:18:23.720
<v Speaker 1>So then you wander into the world and you're confronted

0:18:23.760 --> 0:18:26.200
<v Speaker 1>with the reality that all the stuff you believe may

0:18:26.200 --> 0:18:28.840
<v Speaker 1>not be right. And the real big question is how

0:18:28.880 --> 0:18:30.560
<v Speaker 1>do you deal with that? Right? And so there are

0:18:30.560 --> 0:18:32.879
<v Speaker 1>some mult you and I disagree on something. There might

0:18:32.880 --> 0:18:35.440
<v Speaker 1>be some ways I say, either Barry doesn't understand the facts,

0:18:35.440 --> 0:18:37.240
<v Speaker 1>and if I just tell him the facts, he's going

0:18:37.280 --> 0:18:38.760
<v Speaker 1>to come around to my point of view. It could

0:18:38.800 --> 0:18:42.240
<v Speaker 1>be Berry's not quite smart enough to understand my nuanced

0:18:42.240 --> 0:18:44.639
<v Speaker 1>point of view, or could be Berry's turned his back.

0:18:45.000 --> 0:18:47.199
<v Speaker 1>You know, he doesn't get it anymore, and you know

0:18:47.240 --> 0:18:49.440
<v Speaker 1>he's being, in a sense almost evil about this thing.

0:18:49.520 --> 0:18:53.159
<v Speaker 1>So I think this idea of of recognizing, especially the

0:18:53.160 --> 0:18:57.280
<v Speaker 1>world of investing right where where so important, so important

0:18:57.280 --> 0:18:59.119
<v Speaker 1>because what happens is I mean, what is what is

0:18:59.240 --> 0:19:02.399
<v Speaker 1>rational being? What does it mean to be rational? And

0:19:02.440 --> 0:19:05.679
<v Speaker 1>the answer is that your beliefs map accurately to the world.

0:19:06.040 --> 0:19:09.000
<v Speaker 1>That's a real challenge if the world's constantly changing, because

0:19:09.000 --> 0:19:12.119
<v Speaker 1>that requires you to change your own views. And most

0:19:12.119 --> 0:19:15.320
<v Speaker 1>of us, truth be told, are fairly cognitively lazy, would

0:19:15.400 --> 0:19:17.760
<v Speaker 1>rather just sort of keep doing what we're doing. So

0:19:17.880 --> 0:19:20.199
<v Speaker 1>that to me, when we say what are the characteristics,

0:19:20.240 --> 0:19:22.640
<v Speaker 1>that's a big one. And being wrong teach you about

0:19:22.640 --> 0:19:25.120
<v Speaker 1>being right is to say I need, yeah, I need.

0:19:25.240 --> 0:19:26.840
<v Speaker 1>My map is off and I need to adjust it.

0:19:27.040 --> 0:19:28.760
<v Speaker 1>The other thing I'll say, you know, you mentioned Charlie

0:19:28.840 --> 0:19:30.960
<v Speaker 1>Munger a few moments ago. You know, Charlie Munger has

0:19:30.960 --> 0:19:32.880
<v Speaker 1>got this great coro says, we got we did well

0:19:32.960 --> 0:19:35.680
<v Speaker 1>Berkshire Health Hathway less by being brilliant and more by

0:19:35.680 --> 0:19:38.000
<v Speaker 1>not screwing up a lot. And there's a little of

0:19:38.040 --> 0:19:40.639
<v Speaker 1>that effect as well. So just by not making as

0:19:40.680 --> 0:19:46.120
<v Speaker 1>many mistakes, yeah, you you, you will do better over time.

0:19:46.160 --> 0:19:48.160
<v Speaker 1>So I think that's another aspect of the not being

0:19:48.160 --> 0:19:51.679
<v Speaker 1>wrong dimension. You know, I'm fascinated now that we're in

0:19:51.680 --> 0:19:54.679
<v Speaker 1>the midst of the political silly season, the idea of

0:19:54.720 --> 0:19:58.720
<v Speaker 1>cognitive dissonance, that when a person has a wrong map

0:19:59.280 --> 0:20:04.119
<v Speaker 1>and you can front them with in controvertable facts, Hey,

0:20:04.960 --> 0:20:08.560
<v Speaker 1>crime is at decade lows, the number of police killed

0:20:08.680 --> 0:20:12.840
<v Speaker 1>are at record lows relative to any time over the past,

0:20:13.440 --> 0:20:19.199
<v Speaker 1>you know, thirty forty years. How the brain manages to

0:20:19.400 --> 0:20:23.960
<v Speaker 1>either ignore the data or somehow deal with it because

0:20:24.000 --> 0:20:28.239
<v Speaker 1>otherwise their whole worldview, uh falls apart. What does that

0:20:28.280 --> 0:20:31.080
<v Speaker 1>How how does that manifest itself with investors? Yeah? I

0:20:31.080 --> 0:20:33.200
<v Speaker 1>think that I think that people prefer not to change

0:20:33.200 --> 0:20:35.760
<v Speaker 1>their view, right, and uh so they don't even want

0:20:35.800 --> 0:20:38.080
<v Speaker 1>to entertain the evidence. But you know that if you

0:20:38.200 --> 0:20:41.320
<v Speaker 1>if you said you know of conomin traversity's biases, you know,

0:20:41.359 --> 0:20:43.960
<v Speaker 1>the one that probably shows up, well, maybe not the most,

0:20:43.960 --> 0:20:46.199
<v Speaker 1>but certainly the top three would be confirmation bias, right,

0:20:46.240 --> 0:20:49.240
<v Speaker 1>which is, once you've made a decision, you may have

0:20:49.280 --> 0:20:51.520
<v Speaker 1>agonized over, but once you made a decision, you seek

0:20:51.520 --> 0:20:53.359
<v Speaker 1>information that confirms your point of view. And you just

0:20:53.440 --> 0:20:56.679
<v Speaker 1>avowed dismiss or discount, as you said, disconfirming evidence. And

0:20:56.920 --> 0:20:58.560
<v Speaker 1>it's a very natural thing for all of us to do.

0:20:58.680 --> 0:21:01.719
<v Speaker 1>And again, I think that characteristics of great investors are

0:21:01.760 --> 0:21:05.159
<v Speaker 1>those who remain actively open minded, who remain open to

0:21:05.200 --> 0:21:08.280
<v Speaker 1>the evidence, and who are willing and able to change

0:21:08.320 --> 0:21:11.160
<v Speaker 1>their minds when the evidence suggests that they should. By

0:21:11.160 --> 0:21:15.480
<v Speaker 1>the way in life, certainly with politicians, consistency is valued

0:21:15.560 --> 0:21:17.880
<v Speaker 1>is a good thing, and if you're changing your view,

0:21:18.080 --> 0:21:21.440
<v Speaker 1>you're called a flip flopper. Right in investing, if you're

0:21:21.440 --> 0:21:23.400
<v Speaker 1>a flip flopper, you're if you're doing the right thing,

0:21:23.880 --> 0:21:25.399
<v Speaker 1>that's what you need to do. It's not even a

0:21:25.480 --> 0:21:27.840
<v Speaker 1>question of whether it's a good thing matter. So so

0:21:27.880 --> 0:21:30.639
<v Speaker 1>that's another you know, that's that whole confirmation bias and

0:21:30.680 --> 0:21:33.040
<v Speaker 1>this idea of consistency and the fact is once you

0:21:33.200 --> 0:21:34.640
<v Speaker 1>most people have come up with a point of view,

0:21:34.840 --> 0:21:36.840
<v Speaker 1>they'd much rather just stick with what they're doing than

0:21:36.920 --> 0:21:39.680
<v Speaker 1>to change their views, even if it's money losing. Even

0:21:39.720 --> 0:21:42.600
<v Speaker 1>if it's money losing, that that that's quite uh, that's

0:21:42.680 --> 0:21:45.959
<v Speaker 1>quite a stuff of thing. So that that leads to

0:21:46.200 --> 0:21:49.199
<v Speaker 1>a related question. So what are some of the bigger

0:21:49.280 --> 0:21:54.280
<v Speaker 1>misconceptions about how investors should approach the market. What should

0:21:54.320 --> 0:21:57.360
<v Speaker 1>they be doing that they're not, and what shouldn't they

0:21:57.359 --> 0:22:00.760
<v Speaker 1>be doing that they are. You know, if saying I say, Baron,

0:22:00.800 --> 0:22:02.960
<v Speaker 1>we talked a bit about this. For for most people,

0:22:03.280 --> 0:22:07.120
<v Speaker 1>the answer is that they should probably using index funds

0:22:07.200 --> 0:22:11.600
<v Speaker 1>or some sort of low cost approaches, having appropriately diversified portfolios,

0:22:11.720 --> 0:22:13.199
<v Speaker 1>you know, doing all the things you're supposed to do

0:22:13.240 --> 0:22:15.880
<v Speaker 1>rebalancing and tax efficiency and so forth. Right, So for

0:22:15.880 --> 0:22:18.159
<v Speaker 1>for for a vast prenority people, that's probably the right

0:22:18.160 --> 0:22:20.560
<v Speaker 1>way to go. If you're going to be an active manager,

0:22:20.800 --> 0:22:22.879
<v Speaker 1>I would say the key thing is to think about

0:22:22.960 --> 0:22:25.040
<v Speaker 1>what is your source of edge, What do you truly

0:22:25.080 --> 0:22:27.919
<v Speaker 1>believe that you can do that's different than others, right,

0:22:28.119 --> 0:22:30.720
<v Speaker 1>and and then organize your investment firm in order to

0:22:30.760 --> 0:22:34.120
<v Speaker 1>do that. And then finally think a lot about portfolio construction,

0:22:34.160 --> 0:22:36.320
<v Speaker 1>how you put together your bets in a way that's effective.

0:22:36.880 --> 0:22:39.720
<v Speaker 1>Um so those it's it's really about having a really

0:22:39.720 --> 0:22:43.640
<v Speaker 1>good process. It's also, as we were speaking a moment ago,

0:22:43.680 --> 0:22:47.639
<v Speaker 1>it's about understanding and managing or mitigating the behavioral biases

0:22:47.720 --> 0:22:50.399
<v Speaker 1>that are gonna inevitably show up. You know, way will

0:22:50.400 --> 0:22:51.960
<v Speaker 1>avoid that, I know there is, but you try to

0:22:52.000 --> 0:22:54.840
<v Speaker 1>weave this into your process. Maybe checkpoints will call them

0:22:54.920 --> 0:22:56.920
<v Speaker 1>or stop points where you say, hey, am I thinking

0:22:56.960 --> 0:22:59.560
<v Speaker 1>about this properly? And the final thing I'll say, which

0:22:59.600 --> 0:23:01.760
<v Speaker 1>is a big issue, is that are you in an

0:23:01.840 --> 0:23:05.000
<v Speaker 1>investment organization or any kind of organization that really is

0:23:05.080 --> 0:23:07.399
<v Speaker 1>helping you versus hindering you? And I think that this

0:23:07.440 --> 0:23:09.439
<v Speaker 1>is something again Charlie Ellis has talked a lot about

0:23:09.880 --> 0:23:13.120
<v Speaker 1>is this business versus profession? Right? When when people start

0:23:13.200 --> 0:23:16.679
<v Speaker 1>getting driven by raising assets under management or selling the

0:23:16.720 --> 0:23:20.479
<v Speaker 1>hot product versus delivering access returns, that changes the nature

0:23:20.760 --> 0:23:24.520
<v Speaker 1>of the basic proposition. I'm Barry Riddlts. You're listening to

0:23:24.680 --> 0:23:28.719
<v Speaker 1>Masters in Business on Bloomberg Radio. My special guest today

0:23:28.920 --> 0:23:33.000
<v Speaker 1>is Michael Mobisaw. He is of Credit Swiss and author

0:23:33.160 --> 0:23:38.960
<v Speaker 1>of numerous books on investing, uh, human behavior psychology. Let's

0:23:39.040 --> 0:23:42.399
<v Speaker 1>let's talk a little bit about emotions and decision making.

0:23:43.040 --> 0:23:46.760
<v Speaker 1>And since since you mentioned Danny Kahneman, let's let's start

0:23:46.840 --> 0:23:51.480
<v Speaker 1>with with one of the big subjects and again quote

0:23:51.640 --> 0:23:56.439
<v Speaker 1>from you. We all operate with certain heuristics, rules of thumb,

0:23:57.000 --> 0:24:03.359
<v Speaker 1>and predictable biases that emanate from those heuristics. Discuss Yeah,

0:24:03.520 --> 0:24:07.080
<v Speaker 1>so you know Conomen and traverse ky Uh. Well, Conomen

0:24:08.119 --> 0:24:11.760
<v Speaker 1>made these two incredible contributions to our understanding. One is

0:24:11.800 --> 0:24:13.919
<v Speaker 1>the heuristics and biases, which we'll talk about in just

0:24:13.960 --> 0:24:16.400
<v Speaker 1>a second, and the other is prospect theory. So how

0:24:16.600 --> 0:24:20.680
<v Speaker 1>human behaviors depart systematically from what economic theories would mean,

0:24:20.880 --> 0:24:26.639
<v Speaker 1>meaning people on the perfect profits seeking rational machines that

0:24:26.720 --> 0:24:31.159
<v Speaker 1>economists describe them as precisely, and the fact that they

0:24:31.240 --> 0:24:34.560
<v Speaker 1>depart in ways that are fairly systematic and predictable. So

0:24:34.600 --> 0:24:37.720
<v Speaker 1>the heuristics and biases literature is really interesting because it

0:24:37.840 --> 0:24:40.040
<v Speaker 1>says that, as you point out the word as rules

0:24:40.040 --> 0:24:41.960
<v Speaker 1>of thumbs, so we all we operate with lots of

0:24:42.000 --> 0:24:44.800
<v Speaker 1>rules of thumb for life. And what's good about rules

0:24:44.800 --> 0:24:46.600
<v Speaker 1>of thumb? The answer is they save you a ton

0:24:46.640 --> 0:24:50.280
<v Speaker 1>of time. And they're often right, keep you alive on

0:24:50.320 --> 0:24:54.080
<v Speaker 1>the savannah Savanna, right. So that's all good, But the

0:24:54.119 --> 0:24:57.160
<v Speaker 1>problem is that these heuristics often come with blind spots

0:24:57.240 --> 0:25:00.640
<v Speaker 1>or these biases that can lead to suboptimal decisions. Let's

0:25:00.680 --> 0:25:03.399
<v Speaker 1>talk about a couple of the big daddies of these biases.

0:25:03.840 --> 0:25:07.320
<v Speaker 1>The first one is over confidence, and by the way,

0:25:07.359 --> 0:25:10.000
<v Speaker 1>that tends to be more expressed than males and females.

0:25:10.119 --> 0:25:11.960
<v Speaker 1>So just there's that's one where there's that tend to

0:25:11.960 --> 0:25:14.080
<v Speaker 1>be a difference in gender. There's a lot of data

0:25:14.119 --> 0:25:17.959
<v Speaker 1>that shows that female fund managers tend to app perform

0:25:18.280 --> 0:25:21.800
<v Speaker 1>male fund managers because they are not afflicted with the

0:25:21.880 --> 0:25:25.720
<v Speaker 1>same sort of testosterone poisoning that leads to over over

0:25:25.800 --> 0:25:29.200
<v Speaker 1>confidence exactly. So how does over confidence manifest? And you've

0:25:29.200 --> 0:25:31.439
<v Speaker 1>already given a little clue on that, right, there are

0:25:31.440 --> 0:25:34.639
<v Speaker 1>two things. One is we we tend to project in

0:25:35.359 --> 0:25:38.240
<v Speaker 1>ranges that are too narrow. We're we we think we

0:25:38.359 --> 0:25:41.720
<v Speaker 1>understand the future much better than we actually do. Right,

0:25:41.880 --> 0:25:45.000
<v Speaker 1>So that's one that's one aspect of it. The second

0:25:45.119 --> 0:25:47.480
<v Speaker 1>is where you had the male female study, you decided

0:25:47.800 --> 0:25:49.840
<v Speaker 1>is it men tend to trade a lot more, right,

0:25:49.880 --> 0:25:51.560
<v Speaker 1>So they think they know what's going on, so they're

0:25:51.600 --> 0:25:53.840
<v Speaker 1>much more active, and that just choose up performance in

0:25:53.840 --> 0:25:56.639
<v Speaker 1>the form of costs. So over confidence. How do you

0:25:56.760 --> 0:25:59.960
<v Speaker 1>mitigate that? The answer would be using things like base rates,

0:26:00.000 --> 0:26:01.879
<v Speaker 1>which we talked about before, just saying what does the

0:26:01.920 --> 0:26:04.919
<v Speaker 1>distribution of outcomes where does it look like historically? And

0:26:04.960 --> 0:26:07.320
<v Speaker 1>if I overlay that on what I'm thinking about today,

0:26:07.680 --> 0:26:10.399
<v Speaker 1>is a reason for me to stretch my expectations. So

0:26:10.480 --> 0:26:12.800
<v Speaker 1>that's over confidence. And that's a really a big one.

0:26:12.920 --> 0:26:15.480
<v Speaker 1>And even for money managers don't trade too much. Those

0:26:15.480 --> 0:26:19.200
<v Speaker 1>are that's a that's the second one. UH framing is

0:26:19.240 --> 0:26:21.960
<v Speaker 1>another really big one. And so the story here buries.

0:26:22.000 --> 0:26:25.600
<v Speaker 1>If I present a story to you with mathematically one

0:26:25.600 --> 0:26:28.959
<v Speaker 1>way mathematically, and then I present the same mathematical puzzle

0:26:29.000 --> 0:26:32.119
<v Speaker 1>to you a different way, I can systematically get you

0:26:32.200 --> 0:26:34.600
<v Speaker 1>to select one or the other right, And that just

0:26:34.640 --> 0:26:36.720
<v Speaker 1>doesn't make any sense because people are actually just doing

0:26:36.760 --> 0:26:38.639
<v Speaker 1>the math. They won't do it that way. So so

0:26:38.720 --> 0:26:40.720
<v Speaker 1>let's let's take a look at an example of that.

0:26:40.840 --> 0:26:46.600
<v Speaker 1>The one that I recall is the hypothetical UH illness,

0:26:46.920 --> 0:26:50.720
<v Speaker 1>where if a doctor says bad news, you have fatal disease.

0:26:50.800 --> 0:26:53.920
<v Speaker 1>Good news is a surgery. And here's the variable if

0:26:53.960 --> 0:26:58.159
<v Speaker 1>the if this doctor says six chance of survival, if

0:26:58.200 --> 0:27:00.960
<v Speaker 1>you have the surgery, a huge number of people do it,

0:27:01.480 --> 0:27:06.560
<v Speaker 1>and the control group gets the bad news fatal disease,

0:27:06.640 --> 0:27:09.720
<v Speaker 1>good news. Hey there's a surgery. One of three people

0:27:09.760 --> 0:27:12.800
<v Speaker 1>don't survive the surgery, but you know it's the only

0:27:12.840 --> 0:27:17.560
<v Speaker 1>choice we have, and that generates a totally different acceptance.

0:27:17.600 --> 0:27:21.200
<v Speaker 1>Right precisely, so we're not we're not doing the math right,

0:27:21.320 --> 0:27:24.800
<v Speaker 1>We're reacting with our affect or emotion because two out

0:27:24.840 --> 0:27:27.119
<v Speaker 1>of three and one out of three or essentially the

0:27:27.200 --> 0:27:29.560
<v Speaker 1>same numbers. If if it's one side as two out

0:27:29.560 --> 0:27:31.640
<v Speaker 1>of three and the alternative is one out of three,

0:27:31.720 --> 0:27:34.600
<v Speaker 1>it's the same transaction. So now you think about the world,

0:27:34.640 --> 0:27:37.280
<v Speaker 1>to go out in the world and say how often

0:27:37.320 --> 0:27:40.720
<v Speaker 1>are these framing effects influencing my own decisions? And you

0:27:40.720 --> 0:27:42.800
<v Speaker 1>would have to guess that it's a pretty substantial amount

0:27:42.840 --> 0:27:46.000
<v Speaker 1>of the time. So can we all systematically or be

0:27:46.040 --> 0:27:50.119
<v Speaker 1>good at translating these different frames into more mathematical or

0:27:50.160 --> 0:27:53.639
<v Speaker 1>more appropriate framework so allow us to make the right decisions.

0:27:53.680 --> 0:27:55.520
<v Speaker 1>And it goes back to our discussion a few moments

0:27:55.560 --> 0:27:58.760
<v Speaker 1>ago also about storytelling. Right if there's a little causality.

0:27:58.800 --> 0:27:59.920
<v Speaker 1>And by the way, I mean, I was talking to

0:28:00.000 --> 0:28:02.000
<v Speaker 1>Position about the same thing. He said. He said, you know,

0:28:02.000 --> 0:28:04.200
<v Speaker 1>if I have a treatment that's fifty fifty in my office,

0:28:04.200 --> 0:28:06.320
<v Speaker 1>some guy comes in with a f goes if I

0:28:06.359 --> 0:28:07.879
<v Speaker 1>want the guy to use this, here's what I say,

0:28:07.920 --> 0:28:10.640
<v Speaker 1>say Barry, it's do you understand that? And the guy,

0:28:10.680 --> 0:28:14.280
<v Speaker 1>not the patient, nods his head say great. Last guy

0:28:14.320 --> 0:28:18.480
<v Speaker 1>who's doing the treatment is doing great, and the guys

0:28:18.560 --> 0:28:21.399
<v Speaker 1>like so the end of one, right, sample size of

0:28:21.480 --> 0:28:24.440
<v Speaker 1>one people will go for right. And if he says not, Barry,

0:28:24.480 --> 0:28:27.280
<v Speaker 1>the last guy who's doing it didn't work so well, right,

0:28:27.680 --> 0:28:31.320
<v Speaker 1>then you know basically they all so it's it's this tagline, right,

0:28:31.320 --> 0:28:34.920
<v Speaker 1>which is even though the numbers are the same, Hey,

0:28:34.920 --> 0:28:40.160
<v Speaker 1>it's a coin to us that that that one example, Um,

0:28:40.240 --> 0:28:42.400
<v Speaker 1>you know that that kind of goes back to back

0:28:42.440 --> 0:28:45.480
<v Speaker 1>to Danny Kahneman, the whole issue of anchoring. If we

0:28:45.520 --> 0:28:48.960
<v Speaker 1>toss out a number high enough when you're starting the negotiation,

0:28:49.040 --> 0:28:52.320
<v Speaker 1>everybody is magically drawn because you're trying to make sense

0:28:52.360 --> 0:28:54.720
<v Speaker 1>of that number and your brain lops in on it. Yeah,

0:28:54.760 --> 0:28:56.400
<v Speaker 1>and anchor is another one I was going to mention

0:28:56.400 --> 0:28:58.120
<v Speaker 1>and I do this with my students at Columbia Business

0:28:58.160 --> 0:29:00.000
<v Speaker 1>School and it's awesome. Right. So I say to him,

0:29:00.280 --> 0:29:02.080
<v Speaker 1>very first day class, I say, right down the last

0:29:02.200 --> 0:29:04.480
<v Speaker 1>four digits of your phone number, right, so every no problem,

0:29:04.520 --> 0:29:06.480
<v Speaker 1>kids do that. And I say, second question, I got

0:29:06.480 --> 0:29:09.000
<v Speaker 1>this from Danny directly. Uh, the number of doctors in

0:29:09.040 --> 0:29:12.040
<v Speaker 1>Manhattan burro of Manhattan higher or lower than that number? Right?

0:29:12.080 --> 0:29:14.280
<v Speaker 1>They usually they know it's gonna be a little bit higher.

0:29:14.320 --> 0:29:16.200
<v Speaker 1>And I say, write down your estimate of the number

0:29:16.200 --> 0:29:19.760
<v Speaker 1>of doctors. And just as predictable as night follows day,

0:29:19.840 --> 0:29:22.120
<v Speaker 1>the people who have high phone number last, which is high,

0:29:22.240 --> 0:29:24.680
<v Speaker 1>guess many more doctors, and the people will low digits

0:29:24.680 --> 0:29:26.600
<v Speaker 1>on their phone number. Right. And so a couple of

0:29:26.640 --> 0:29:28.560
<v Speaker 1>things should be obvious about that number. One is they

0:29:28.760 --> 0:29:31.360
<v Speaker 1>the students know there's no relationship between their phone number

0:29:31.440 --> 0:29:34.320
<v Speaker 1>and the number of doctors. And had I asked those

0:29:34.320 --> 0:29:37.680
<v Speaker 1>same questions in reverse order, tell me the number estimate

0:29:37.720 --> 0:29:39.360
<v Speaker 1>of doctors and then tell me your phone number, you

0:29:39.440 --> 0:29:41.480
<v Speaker 1>get totally different answers. So you know that this is

0:29:41.520 --> 0:29:43.760
<v Speaker 1>an effect. And I think the point that that Danny

0:29:43.840 --> 0:29:46.640
<v Speaker 1>Conmon makes is that this is fairly pernicious in the

0:29:46.680 --> 0:29:49.720
<v Speaker 1>sense that you can do an hour lecture on anchoring

0:29:50.760 --> 0:29:53.680
<v Speaker 1>and do another experiment on it and it still works. Right.

0:29:53.720 --> 0:29:55.560
<v Speaker 1>So in other words, it's like your mind. It's a

0:29:55.600 --> 0:29:57.160
<v Speaker 1>really hard one for your mind to get around. And

0:29:57.160 --> 0:29:59.160
<v Speaker 1>you mentioned you know, M and A, and this shows up.

0:29:59.200 --> 0:30:01.640
<v Speaker 1>Fifty two weeks is high levels for the markets, all

0:30:01.680 --> 0:30:05.239
<v Speaker 1>these you know, round numbers for the down all these

0:30:05.240 --> 0:30:07.800
<v Speaker 1>sorts of things show up. You know, what does what

0:30:07.800 --> 0:30:10.840
<v Speaker 1>does it mean? The answer is basically nothing, but it

0:30:11.400 --> 0:30:14.240
<v Speaker 1>has these sort of uh, these anchoring effects. So yeah,

0:30:14.280 --> 0:30:16.440
<v Speaker 1>that's another one. So so there's a very rich literature

0:30:16.480 --> 0:30:18.800
<v Speaker 1>on this. And again I say to people, really important

0:30:18.880 --> 0:30:21.960
<v Speaker 1>understand it. Uh. And then as important is to try

0:30:21.960 --> 0:30:24.680
<v Speaker 1>to think about are there ways again can I offset

0:30:24.720 --> 0:30:30.320
<v Speaker 1>these forces? What is the antidote two overconfidence to framing,

0:30:30.440 --> 0:30:32.280
<v Speaker 1>to anchoring, and how do I try to try to

0:30:32.280 --> 0:30:33.719
<v Speaker 1>bring those to bear when I need to to make

0:30:33.720 --> 0:30:37.360
<v Speaker 1>good decisions. So let's talk about one of my pet peeves,

0:30:37.360 --> 0:30:42.320
<v Speaker 1>which which you have discussed many times, which is I

0:30:42.400 --> 0:30:45.600
<v Speaker 1>get miffed every time someone is on TV and blaming

0:30:45.680 --> 0:30:49.880
<v Speaker 1>uncertainty for the economy, the stock market for whatever. Um.

0:30:50.040 --> 0:30:53.160
<v Speaker 1>I always think that's a dodge, And I really like

0:30:53.320 --> 0:30:57.320
<v Speaker 1>the way you described it, uh, talking about whether or

0:30:57.360 --> 0:31:02.640
<v Speaker 1>not the underlying distribution of outcome is undefined, UH, and

0:31:02.720 --> 0:31:06.600
<v Speaker 1>what the risk distribution looks like. In other words, when

0:31:06.640 --> 0:31:08.880
<v Speaker 1>you spin a Roulette wheel or roll a pair of dice,

0:31:09.640 --> 0:31:11.959
<v Speaker 1>you may not know what numbers are going to come up,

0:31:12.200 --> 0:31:16.120
<v Speaker 1>but the set of possible outcomes is well known in advance.

0:31:17.080 --> 0:31:20.080
<v Speaker 1>What is it about uncertainty that leads people to so

0:31:20.200 --> 0:31:23.360
<v Speaker 1>totally misunderstand that? Yeah, I don't know, and I think

0:31:23.360 --> 0:31:25.280
<v Speaker 1>that you know this is by the way, this concept

0:31:25.320 --> 0:31:28.080
<v Speaker 1>that you've articulated came from Frank Knight. So it's been

0:31:28.120 --> 0:31:31.080
<v Speaker 1>an idea that's been around for mathematicians. Yeah, I think

0:31:31.080 --> 0:31:33.880
<v Speaker 1>it was an economist years ago. So it's been around

0:31:33.880 --> 0:31:35.320
<v Speaker 1>for a long time. And you know, I think it's

0:31:35.360 --> 0:31:37.360
<v Speaker 1>a debate of you know, sort of an ongoing debate

0:31:37.400 --> 0:31:41.000
<v Speaker 1>among economists and philosophers and so forth. But no, exactly

0:31:41.040 --> 0:31:42.720
<v Speaker 1>what you said, So, risk is this idea that you

0:31:42.720 --> 0:31:45.040
<v Speaker 1>don't know the outcome, but you know all the possible

0:31:45.360 --> 0:31:47.400
<v Speaker 1>out as you said, to rule that wheel or the

0:31:47.440 --> 0:31:49.640
<v Speaker 1>turn of car or what have you. And uncertainty is

0:31:49.680 --> 0:31:51.840
<v Speaker 1>where we don't know the outcome, but we don't really

0:31:51.840 --> 0:31:54.400
<v Speaker 1>know what the underlying distribution. So that's in character a

0:31:54.560 --> 0:31:57.560
<v Speaker 1>very very different thing. War invasion of Iraq is a

0:31:57.600 --> 0:31:59.640
<v Speaker 1>good exactly, But there's some interesting I mean, even some

0:31:59.680 --> 0:32:01.479
<v Speaker 1>of these things you know not seemte lab is very

0:32:01.520 --> 0:32:04.360
<v Speaker 1>well known for talking about things like black swans, but

0:32:04.600 --> 0:32:07.640
<v Speaker 1>you know, in reality, most things in life are really

0:32:07.640 --> 0:32:09.440
<v Speaker 1>not in the black swan realm. They're more in the

0:32:09.480 --> 0:32:12.120
<v Speaker 1>gray swan realm. So for example, earthquakes, you know they

0:32:12.160 --> 0:32:15.280
<v Speaker 1>follow power law, you can't really predict them, but we

0:32:15.320 --> 0:32:17.880
<v Speaker 1>know what the distribution looks like, right, so you know, okay,

0:32:17.880 --> 0:32:19.280
<v Speaker 1>So that so you have a sense of what's going on.

0:32:19.680 --> 0:32:21.760
<v Speaker 1>So the question is whether these things are Are they

0:32:21.840 --> 0:32:24.200
<v Speaker 1>practical in your day to day life. I think the

0:32:24.200 --> 0:32:27.000
<v Speaker 1>answer to that is yes. But the second thing, and

0:32:27.040 --> 0:32:29.080
<v Speaker 1>also I think this is an issue that we're we

0:32:29.240 --> 0:32:33.040
<v Speaker 1>were in agreement on, is if you ask the question

0:32:33.160 --> 0:32:39.640
<v Speaker 1>our markets risky or our markets uncertain? Now, if they're risky,

0:32:39.720 --> 0:32:42.600
<v Speaker 1>we can try out a bunch of mathematics to model them.

0:32:42.640 --> 0:32:45.680
<v Speaker 1>If they're not, or they have components of uncertainty, then

0:32:45.720 --> 0:32:47.360
<v Speaker 1>we're not using the right tools. And I think I

0:32:47.360 --> 0:32:49.840
<v Speaker 1>would just basically say most of the standard finance is

0:32:49.880 --> 0:32:55.040
<v Speaker 1>based on normal distributions. Whenever you utter phrases like alpha, beta, uh,

0:32:55.280 --> 0:33:00.320
<v Speaker 1>standard deviation. Right, you're using the language of risk to

0:33:00.480 --> 0:33:04.440
<v Speaker 1>describe a system which may have elements and maybe big

0:33:04.480 --> 0:33:07.360
<v Speaker 1>elements of uncertainty. So that to me is another really

0:33:07.360 --> 0:33:12.000
<v Speaker 1>interesting disconnect um. And look, it may work of the time,

0:33:12.040 --> 0:33:15.440
<v Speaker 1>but that one percent may be really challenging. So I

0:33:15.440 --> 0:33:17.680
<v Speaker 1>think you're writing like you said, I mean, uncertainty is

0:33:17.720 --> 0:33:19.800
<v Speaker 1>a phrase. It's a catch all, right, So it basically

0:33:19.840 --> 0:33:21.320
<v Speaker 1>means I don't know what's going on, you throw it

0:33:21.320 --> 0:33:24.720
<v Speaker 1>into uncertainty. But but I think that I found that distinction,

0:33:24.760 --> 0:33:27.200
<v Speaker 1>at least personally, to be a useful one to make

0:33:27.440 --> 0:33:29.880
<v Speaker 1>as as I try to navigate the world. We've been

0:33:29.920 --> 0:33:34.000
<v Speaker 1>speaking with Michael Mobison, head of Global Strategies at Credit Swiss,

0:33:34.520 --> 0:33:38.560
<v Speaker 1>author of such books as The Success Equation, Think Twice

0:33:38.880 --> 0:33:41.600
<v Speaker 1>and more than you know. If people want to find

0:33:41.760 --> 0:33:44.240
<v Speaker 1>your writings, where's the best place for them to to

0:33:44.360 --> 0:33:49.240
<v Speaker 1>either get your white papers or any of your other writings. Um, well,

0:33:49.280 --> 0:33:51.680
<v Speaker 1>I have a website which is Michael Mobison dot com.

0:33:51.880 --> 0:33:53.560
<v Speaker 1>So you'll probably look up the spelling, but if you

0:33:53.600 --> 0:33:55.680
<v Speaker 1>google it you'll find it probably one way or another.

0:33:56.240 --> 0:33:58.760
<v Speaker 1>And um, the other thing is probably Twitter is another

0:33:58.880 --> 0:34:01.680
<v Speaker 1>you know at MG Mobison, and so a bunch of

0:34:01.680 --> 0:34:03.719
<v Speaker 1>the stuff tends to find its way onto Twitter one

0:34:03.720 --> 0:34:06.080
<v Speaker 1>way or another. So those are probably the two best horses.

0:34:06.520 --> 0:34:09.280
<v Speaker 1>If you enjoy this conversation, be sure and stick around

0:34:09.280 --> 0:34:11.840
<v Speaker 1>and check out the podcast extras, where we keep the

0:34:11.880 --> 0:34:16.320
<v Speaker 1>tape rolling and continue chatting about all things UH, decision

0:34:16.360 --> 0:34:20.480
<v Speaker 1>making and cognitive. Be sure and follow my daily column

0:34:20.480 --> 0:34:24.399
<v Speaker 1>on Bloomberg dot com or follow me on Twitter at

0:34:24.520 --> 0:34:28.160
<v Speaker 1>rit Halts. I'm Barry Rit Halts. You've been listening to

0:34:28.320 --> 0:34:33.560
<v Speaker 1>Masters in Business on Bloomberg Radio. Welcome to the podcast portion. Uh, Mike,

0:34:33.640 --> 0:34:35.319
<v Speaker 1>thanks so much for doing this. You know you're one

0:34:35.360 --> 0:34:39.400
<v Speaker 1>of our few repeat guests. And I listened to the first,

0:34:39.719 --> 0:34:43.160
<v Speaker 1>uh first podcast you and I did. You were literally

0:34:43.200 --> 0:34:45.960
<v Speaker 1>one of the first dozen or so podcasts, and I

0:34:46.040 --> 0:34:48.600
<v Speaker 1>have to tell you, I was awful, but you were great.

0:34:49.520 --> 0:34:52.719
<v Speaker 1>So UM, I would like to think that in the

0:34:52.920 --> 0:34:56.439
<v Speaker 1>ensuing one hundred podcasts in the ensuing two years, I've

0:34:56.480 --> 0:35:01.320
<v Speaker 1>developed some skill at shutting up, listening in and asking questions.

0:35:01.360 --> 0:35:06.240
<v Speaker 1>Although that's arguable this there's a lot of questions that

0:35:06.239 --> 0:35:09.799
<v Speaker 1>that we missed. I wanna jump back to some of them,

0:35:09.840 --> 0:35:12.239
<v Speaker 1>but before I do, I have to come back to

0:35:12.400 --> 0:35:16.640
<v Speaker 1>the uncertainty name. So I've been using your definition, which

0:35:16.680 --> 0:35:21.960
<v Speaker 1>is based on the earlier mathematical definition. But the footnote

0:35:22.000 --> 0:35:24.239
<v Speaker 1>to that that I wanted to share with you is

0:35:25.200 --> 0:35:28.240
<v Speaker 1>the reason. My belief as to why the reason people

0:35:28.320 --> 0:35:31.879
<v Speaker 1>fall back on it is we talk about how our

0:35:32.080 --> 0:35:37.799
<v Speaker 1>expectations map or don't to reality. My belief is that

0:35:37.960 --> 0:35:43.600
<v Speaker 1>most people's sixty degree in time and space worldview doesn't

0:35:43.640 --> 0:35:47.600
<v Speaker 1>map remotely close. There are just little areas where almost

0:35:47.640 --> 0:35:51.520
<v Speaker 1>accidentally it's right, and we lie to ourselves so successfully

0:35:51.640 --> 0:35:54.880
<v Speaker 1>that we understand otherwise how do you even cross the street.

0:35:55.280 --> 0:35:59.080
<v Speaker 1>So there's this bit of subconscious self deception that allows

0:35:59.160 --> 0:36:04.600
<v Speaker 1>us to operate under normal circumstances. And there are moments

0:36:04.680 --> 0:36:08.520
<v Speaker 1>of terror when it's revealed to us by the events

0:36:09.040 --> 0:36:13.920
<v Speaker 1>that we really are completely um poorly mapped, let's call

0:36:13.960 --> 0:36:17.680
<v Speaker 1>it that. And that's when people tried out the uncertainty defense.

0:36:18.160 --> 0:36:20.640
<v Speaker 1>And you see it during financial crisis, you see it

0:36:20.719 --> 0:36:24.640
<v Speaker 1>during geopolitics. It's a way of saying, all right, I

0:36:24.680 --> 0:36:27.520
<v Speaker 1>will admit temporarily that I have no idea what's going on,

0:36:27.960 --> 0:36:30.360
<v Speaker 1>and soon I'll be able to go back to deluding

0:36:30.400 --> 0:36:32.839
<v Speaker 1>myself that I have a good handle. And we see

0:36:32.840 --> 0:36:37.040
<v Speaker 1>it anytime people talk about the future, the the confidence

0:36:37.120 --> 0:36:39.799
<v Speaker 1>or lack thereof as to here's what the next six

0:36:39.840 --> 0:36:43.040
<v Speaker 1>months or a year it was gonna look like. Phil

0:36:43.080 --> 0:36:47.040
<v Speaker 1>Tetlock does such a great job on on taking that apart. Absolutely.

0:36:47.160 --> 0:36:49.239
<v Speaker 1>You know, there's a there's a great book by Dan

0:36:49.280 --> 0:36:53.680
<v Speaker 1>Gilbert and Stumbling on Happiness where he makes the point

0:36:53.760 --> 0:37:00.120
<v Speaker 1>that mentally healthy people are mildly cognitively delusional. So you

0:37:00.200 --> 0:37:04.320
<v Speaker 1>are mentally healthy, you have a little bubble around yourself

0:37:04.360 --> 0:37:06.560
<v Speaker 1>thinking that you, you know, know a little bit more

0:37:06.600 --> 0:37:08.680
<v Speaker 1>than you do, your a little better looking than you

0:37:08.719 --> 0:37:11.400
<v Speaker 1>actually are, and so forth, hence all the other confidence

0:37:11.440 --> 0:37:14.080
<v Speaker 1>and yeah, exactly, and and in fact, people who are

0:37:14.200 --> 0:37:16.880
<v Speaker 1>mildly clinically depressed actually have a much more accurate view

0:37:16.920 --> 0:37:19.760
<v Speaker 1>of the world than the rest of us. Now, that's

0:37:19.880 --> 0:37:23.319
<v Speaker 1>very funny, and that that explains everything that's going on

0:37:23.360 --> 0:37:27.919
<v Speaker 1>in Bridgewater these days. With their radical transparency, I get

0:37:27.920 --> 0:37:36.000
<v Speaker 1>the sense that they probably are mildly clinically depressed, but

0:37:36.280 --> 0:37:38.120
<v Speaker 1>have a more accurate view of the world. Be couse,

0:37:39.040 --> 0:37:43.600
<v Speaker 1>these guys call each other out for everything, it's quite amazing. Right.

0:37:43.640 --> 0:37:47.560
<v Speaker 1>So so the what's good about this mild delusion often

0:37:47.560 --> 0:37:49.440
<v Speaker 1>as it gets people out of bed in the morning. Right.

0:37:49.480 --> 0:37:50.719
<v Speaker 1>So in other words, you if you think you're a

0:37:50.719 --> 0:37:52.799
<v Speaker 1>little better than you are and so forth, you sort

0:37:52.800 --> 0:37:55.000
<v Speaker 1>of you go at it again, and if you really

0:37:55.000 --> 0:37:56.799
<v Speaker 1>had a more accurate view of the world, you might

0:37:56.840 --> 0:37:58.719
<v Speaker 1>just stay in bed. But it is, it is this

0:37:58.840 --> 0:38:01.640
<v Speaker 1>intriging thing. So so the key is for that that

0:38:01.800 --> 0:38:05.680
<v Speaker 1>mentally healthy condition not to be debilitating your decision making

0:38:05.719 --> 0:38:08.440
<v Speaker 1>it to your points. So you in the world of investing,

0:38:08.680 --> 0:38:10.400
<v Speaker 1>you do have to have an accurate map. You have

0:38:10.480 --> 0:38:12.920
<v Speaker 1>to have you have to have a good belief updating system,

0:38:13.280 --> 0:38:15.239
<v Speaker 1>you have to be actively open minded, you have to

0:38:15.239 --> 0:38:18.399
<v Speaker 1>consider different points of view, and all those things take

0:38:18.440 --> 0:38:22.800
<v Speaker 1>a lot of cognitive energy that most of us, truth

0:38:22.920 --> 0:38:25.560
<v Speaker 1>be told, would rather not expend or we'd rather do

0:38:25.640 --> 0:38:28.680
<v Speaker 1>something else. Right. So so that's that's another thing. Who's

0:38:28.920 --> 0:38:32.160
<v Speaker 1>what distinguishes great decision makers, not just investors, but in

0:38:32.480 --> 0:38:35.279
<v Speaker 1>sports team managers or in business from the rest of us.

0:38:35.600 --> 0:38:37.480
<v Speaker 1>And the answer is they tend to be those folks

0:38:37.480 --> 0:38:41.000
<v Speaker 1>that are more malleable cognitively than the rest of us.

0:38:41.920 --> 0:38:45.560
<v Speaker 1>In super foecasters. Tet Luck goes over the group of

0:38:45.600 --> 0:38:50.319
<v Speaker 1>people who approached decision making almost with the checklist of

0:38:50.400 --> 0:38:52.680
<v Speaker 1>what do we know to be true, what's relevant, what

0:38:52.800 --> 0:38:55.960
<v Speaker 1>can we rely on? Where a blind spots before they

0:38:55.960 --> 0:38:59.719
<v Speaker 1>even start the process of making So any of their

0:38:59.760 --> 0:39:04.279
<v Speaker 1>so cold forecasts really are just more educated guesses than

0:39:04.320 --> 0:39:07.799
<v Speaker 1>the rest of us lazy civilians. Engaging. Yeah, and the

0:39:07.800 --> 0:39:10.520
<v Speaker 1>other thing I liked about super forecasters is that you

0:39:10.560 --> 0:39:13.320
<v Speaker 1>know they're not the folks are making those good forecasts

0:39:13.360 --> 0:39:15.560
<v Speaker 1>are not geniuses. I mean, they're they're brighter than average,

0:39:15.600 --> 0:39:17.839
<v Speaker 1>but they're not geniuses, right, And like you said, it's

0:39:17.920 --> 0:39:23.280
<v Speaker 1>much more about their systematic approach to making forecasts. And

0:39:23.480 --> 0:39:25.480
<v Speaker 1>I think what's encouraging for the rest of us is

0:39:25.520 --> 0:39:28.520
<v Speaker 1>that many of those behaviors can be emulated, many of

0:39:28.520 --> 0:39:31.800
<v Speaker 1>those behaviors can be copied. Right, So so there's some hope,

0:39:31.800 --> 0:39:33.840
<v Speaker 1>at least, even if I can't change anybody's I Q,

0:39:34.160 --> 0:39:37.399
<v Speaker 1>that maybe we can contribute to their quality their decision making.

0:39:37.520 --> 0:39:40.479
<v Speaker 1>So and better decision making would certainly go a long way.

0:39:40.760 --> 0:39:44.120
<v Speaker 1>You know, I don't recall if we mentioned this last time,

0:39:44.120 --> 0:39:46.399
<v Speaker 1>but I wanted to bring it up. Did we talk

0:39:46.440 --> 0:39:51.000
<v Speaker 1>about Wall Street trading desks and why they're populated with

0:39:51.600 --> 0:39:54.360
<v Speaker 1>college athletes that has that? Has that ever come up

0:39:54.400 --> 0:39:56.919
<v Speaker 1>with us? No? I don't think so, have you? Well,

0:39:56.960 --> 0:40:00.360
<v Speaker 1>so in my experience, I've noticed half of the desks

0:40:00.360 --> 0:40:04.279
<v Speaker 1>on the street people played ball in college. Have you

0:40:04.560 --> 0:40:09.400
<v Speaker 1>witnessed something similar? Yeah, you're young. Yes, so it seems

0:40:09.400 --> 0:40:13.879
<v Speaker 1>like a lot of more lacrosse players. Yes, lacrosse. Um, well,

0:40:14.000 --> 0:40:20.040
<v Speaker 1>usually because uh, there's only so many football, baseball, basketball players,

0:40:20.080 --> 0:40:22.520
<v Speaker 1>and and but you see a lot of that, you

0:40:22.560 --> 0:40:26.120
<v Speaker 1>see track. So my pet thesis on that is something

0:40:26.160 --> 0:40:31.080
<v Speaker 1>that is your paradox of skill, which is, if you're

0:40:31.080 --> 0:40:35.319
<v Speaker 1>playing an n c A sport, pick any division in

0:40:35.400 --> 0:40:39.200
<v Speaker 1>Division one, A, Division two, any any any team can

0:40:39.239 --> 0:40:41.520
<v Speaker 1>beat any other team on any other game the weekend.

0:40:41.960 --> 0:40:44.160
<v Speaker 1>It's not you know, you don't end up or you

0:40:44.239 --> 0:40:47.800
<v Speaker 1>very rarely end up with a dominant team that goes

0:40:48.000 --> 0:40:50.640
<v Speaker 1>sixteen and oh for the uh, you win some, you

0:40:50.680 --> 0:40:55.160
<v Speaker 1>lose some. And because of the skill level is fairly

0:40:55.840 --> 0:40:59.600
<v Speaker 1>that tight range like batting averages, a bad call, a

0:40:59.680 --> 0:41:03.680
<v Speaker 1>lucky bounce, an injury, and any team can beat any

0:41:03.680 --> 0:41:07.560
<v Speaker 1>other team in any given game. So after you worked

0:41:07.560 --> 0:41:09.440
<v Speaker 1>your butt off all week and then you go and

0:41:09.480 --> 0:41:13.840
<v Speaker 1>then some bead you know, bounce loses the game for you.

0:41:13.840 --> 0:41:16.440
<v Speaker 1>You have to get up Monday morning and start your

0:41:16.520 --> 0:41:22.440
<v Speaker 1>routine all over again. Which describes sports as as accurately

0:41:22.440 --> 0:41:25.399
<v Speaker 1>as it does working on a trading desk. I mean

0:41:25.440 --> 0:41:27.440
<v Speaker 1>I buy all that. I mean I think that a

0:41:27.480 --> 0:41:30.600
<v Speaker 1>lot of this athletes on trading desks. Is also the

0:41:30.640 --> 0:41:34.720
<v Speaker 1>fact that, uh, they're often especially around here East Coast

0:41:34.880 --> 0:41:38.360
<v Speaker 1>schools for the most part. Um also a lot of

0:41:38.400 --> 0:41:41.640
<v Speaker 1>the lums. So there's a whole little pipeline, you know,

0:41:41.719 --> 0:41:43.880
<v Speaker 1>in terms of what I could see the athletes you know,

0:41:43.960 --> 0:41:46.600
<v Speaker 1>typically right, they work together, they were they're used to

0:41:46.640 --> 0:41:51.600
<v Speaker 1>hard discipline, team or stuff. Is true. So um, yeah,

0:41:51.640 --> 0:41:54.240
<v Speaker 1>so I think that's all. I buy all that. So

0:41:54.239 --> 0:41:58.080
<v Speaker 1>so let's take before we get down to our favorite questions.

0:41:58.200 --> 0:42:01.520
<v Speaker 1>Let's let's let's go through some of the questions that

0:42:01.520 --> 0:42:06.080
<v Speaker 1>that we missed. Um, we've we've talked. Let's let's talk

0:42:06.120 --> 0:42:09.799
<v Speaker 1>a little bit about probabilities and some interesting other factors.

0:42:10.560 --> 0:42:15.319
<v Speaker 1>Another quote of your success in a probabilistic field requires

0:42:15.320 --> 0:42:21.160
<v Speaker 1>waiting probabilities and outcomes. That is an expected value mindset.

0:42:22.239 --> 0:42:25.200
<v Speaker 1>Why is that? Let's describe that a little bit. You know,

0:42:25.280 --> 0:42:31.440
<v Speaker 1>it's a well because again, the future has many possible outcomes,

0:42:31.480 --> 0:42:33.600
<v Speaker 1>and what you're really trying to do is figure out

0:42:33.640 --> 0:42:36.200
<v Speaker 1>situations where you have some sort of advantage or some

0:42:36.280 --> 0:42:39.080
<v Speaker 1>sort of an edge, where if you were able to

0:42:39.120 --> 0:42:41.399
<v Speaker 1>play the world a lot of different times, you would

0:42:41.400 --> 0:42:43.600
<v Speaker 1>win a lot more times than you would lose. And

0:42:43.600 --> 0:42:45.399
<v Speaker 1>and of course there are scenarios where you would lose,

0:42:45.400 --> 0:42:47.279
<v Speaker 1>but you would win many more times than you would lose.

0:42:48.000 --> 0:42:51.759
<v Speaker 1>And the question then becomes, are there ways that we

0:42:51.800 --> 0:42:56.239
<v Speaker 1>can thoughtfully assign probabilities and outcomes? But I think as

0:42:56.239 --> 0:42:59.320
<v Speaker 1>a structured way of approaching any almost any kind of problem,

0:42:59.400 --> 0:43:02.279
<v Speaker 1>it works. Right. So you might say even a more

0:43:02.360 --> 0:43:04.600
<v Speaker 1>mundane thing like yeah, you're the general manager of the

0:43:04.640 --> 0:43:07.080
<v Speaker 1>Yankees now or the Mets or whatever it is, and

0:43:07.120 --> 0:43:10.600
<v Speaker 1>you have to find athletes, uh to play your team.

0:43:10.600 --> 0:43:12.479
<v Speaker 1>You have to draft somebody. You know, you don't really

0:43:12.480 --> 0:43:14.600
<v Speaker 1>know what that guy is about. You don't really have

0:43:14.680 --> 0:43:18.680
<v Speaker 1>a completely known entity. It's a probabilistic view. But if

0:43:18.719 --> 0:43:21.279
<v Speaker 1>you say, guys like this of this age and this

0:43:21.400 --> 0:43:24.759
<v Speaker 1>ability have played certain way x percent have done well, right,

0:43:24.760 --> 0:43:26.920
<v Speaker 1>so that's a probability and some sort of an outcome,

0:43:27.440 --> 0:43:29.040
<v Speaker 1>and again they're gonna be some variance from that, but

0:43:29.080 --> 0:43:30.560
<v Speaker 1>that's probably the right way to think about it. And

0:43:30.560 --> 0:43:32.360
<v Speaker 1>then that allows you to understand how much you should

0:43:32.360 --> 0:43:34.279
<v Speaker 1>probably wanting to pay for the guy right in terms

0:43:34.280 --> 0:43:37.120
<v Speaker 1>of contract and so forth. I think that idea spills

0:43:37.160 --> 0:43:40.239
<v Speaker 1>over to most things we look at, So it's just

0:43:40.440 --> 0:43:42.840
<v Speaker 1>it is just getting into this constant discipline understanding. I

0:43:43.000 --> 0:43:46.040
<v Speaker 1>know the range of outcomes, I know the probabilities or

0:43:46.200 --> 0:43:48.640
<v Speaker 1>some sense of those things, and I'm only gonna bet,

0:43:48.640 --> 0:43:52.319
<v Speaker 1>by the way, when the odds are really good and others.

0:43:52.360 --> 0:43:53.759
<v Speaker 1>I can make a lot of money if I'm right,

0:43:53.800 --> 0:43:55.759
<v Speaker 1>and I don't lose so much fun wrong. That's what

0:43:55.880 --> 0:43:59.560
<v Speaker 1>made Money Bull so fascinating is the underlying expectations for

0:43:59.680 --> 0:44:05.480
<v Speaker 1>the ability was not based on provable, quantified data, but

0:44:06.120 --> 0:44:09.400
<v Speaker 1>all those heuristics and rule of thumbs that had basically

0:44:09.440 --> 0:44:13.000
<v Speaker 1>dominated baseball for a century. And I found that book

0:44:13.360 --> 0:44:16.120
<v Speaker 1>as well as the movie to be so fascinating because

0:44:16.120 --> 0:44:19.279
<v Speaker 1>suddenly you have an industry that wakes up and realizes, oh,

0:44:19.320 --> 0:44:22.080
<v Speaker 1>we've been doing this wrong for a century. Yeah, and Barry,

0:44:22.120 --> 0:44:25.600
<v Speaker 1>I think that this remains remarkably, remains fairly pervasive. I

0:44:25.640 --> 0:44:27.960
<v Speaker 1>think it's less true and Major League Baseball because everyone's

0:44:28.000 --> 0:44:30.040
<v Speaker 1>read the book and has their analytical staffs. But you

0:44:30.040 --> 0:44:32.080
<v Speaker 1>look at other professional sports, by the way, you know,

0:44:32.120 --> 0:44:35.160
<v Speaker 1>things like the NFL, where they're big dollars at stake,

0:44:35.360 --> 0:44:37.200
<v Speaker 1>they're still doing some things that don't make a ton

0:44:37.239 --> 0:44:39.960
<v Speaker 1>of sense. The NHL right where it's a much more

0:44:39.960 --> 0:44:42.880
<v Speaker 1>difficult analytical task, a lot of guys making decisions that

0:44:42.920 --> 0:44:45.360
<v Speaker 1>don't make a lot of sense. So continues to be

0:44:45.440 --> 0:44:48.200
<v Speaker 1>the case out there generally speaking. And a lot of it,

0:44:48.239 --> 0:44:51.200
<v Speaker 1>by the way, is that people grew up with a sport,

0:44:51.640 --> 0:44:54.680
<v Speaker 1>so they rely on their own experience, They rely on

0:44:54.719 --> 0:44:57.040
<v Speaker 1>their own view of the world. It goes back before

0:44:57.080 --> 0:44:59.839
<v Speaker 1>their frame or reference right, and they can't expand their

0:45:00.040 --> 0:45:03.120
<v Speaker 1>you to understand different alternative points of view, and that

0:45:03.160 --> 0:45:06.880
<v Speaker 1>can be really problematic. I am not a huge sports

0:45:07.040 --> 0:45:11.520
<v Speaker 1>book fan. I find them to be predictable and tedious.

0:45:11.560 --> 0:45:14.600
<v Speaker 1>But one that I always recommend to people is the

0:45:14.680 --> 0:45:18.320
<v Speaker 1>former UH coach of the Giants, Tom Conklin, did a

0:45:18.360 --> 0:45:21.680
<v Speaker 1>book called Earned the Right to Win, and one of

0:45:21.760 --> 0:45:25.440
<v Speaker 1>his linebackers tells the story, and this guy goes on

0:45:25.480 --> 0:45:27.200
<v Speaker 1>to have an all star career and he worked with

0:45:27.239 --> 0:45:29.480
<v Speaker 1>Conklin for a few years, and a lot of the

0:45:29.560 --> 0:45:35.080
<v Speaker 1>athletes chafed at Conklin's version of moneyball, So he would

0:45:35.320 --> 0:45:38.120
<v Speaker 1>run a whole bunch of stats. What does this team

0:45:38.200 --> 0:45:40.760
<v Speaker 1>do when it's third and one? What does this team

0:45:40.800 --> 0:45:45.000
<v Speaker 1>do on on you know, first deep in their own territory.

0:45:45.000 --> 0:45:47.239
<v Speaker 1>What they came up with. You're not gonna come up

0:45:47.280 --> 0:45:50.439
<v Speaker 1>with every parameter people can possibly remember that, but they

0:45:50.520 --> 0:45:53.719
<v Speaker 1>came up with enough of them. And this this linebacker

0:45:54.040 --> 0:45:57.200
<v Speaker 1>is whose name escapes me at the moment, chafed and

0:45:57.280 --> 0:46:01.000
<v Speaker 1>chafed and chafed about it, eventually adapts to the system

0:46:01.080 --> 0:46:05.760
<v Speaker 1>and sort of subconsciously adapts to it. Years later, he's

0:46:05.840 --> 0:46:09.279
<v Speaker 1>traded and he's playing for a different team and it's

0:46:09.360 --> 0:46:11.400
<v Speaker 1>third and one, and he says, all right, what do

0:46:11.520 --> 0:46:14.160
<v Speaker 1>these guys do on third and one? And he goes,

0:46:14.160 --> 0:46:16.759
<v Speaker 1>oh my god, I don't know. Conklin was right all

0:46:16.760 --> 0:46:19.760
<v Speaker 1>these year year and actually reached out to him and said, hey,

0:46:20.000 --> 0:46:22.640
<v Speaker 1>you're right. Sorry, I gave you grief about it. It's

0:46:22.680 --> 0:46:25.320
<v Speaker 1>it's one of those things. But stop and think about

0:46:25.360 --> 0:46:29.400
<v Speaker 1>how many sports haven't adapted that, and how much money

0:46:29.440 --> 0:46:33.600
<v Speaker 1>is involved. It's really quite fascinating. So speaking of not

0:46:33.760 --> 0:46:38.440
<v Speaker 1>adapting and and how much money is involved. UM, I

0:46:38.480 --> 0:46:43.480
<v Speaker 1>love this data point which my head of research, Mike Batnick, uncovered,

0:46:43.480 --> 0:46:47.480
<v Speaker 1>and it's it's fascinating. Since two thousand and five, actually,

0:46:47.480 --> 0:46:50.120
<v Speaker 1>from the period from two thousand five to two thousand thirteen,

0:46:50.760 --> 0:46:55.560
<v Speaker 1>approximately fifty thousand new global funds were launched. That's not

0:46:55.640 --> 0:46:59.520
<v Speaker 1>total funds. That's the number of new mutual funds, ETFs,

0:47:00.000 --> 0:47:04.480
<v Speaker 1>hedge funds, etcetera. Were launched. Fifty seven thousand. It's ten

0:47:04.560 --> 0:47:08.759
<v Speaker 1>times in a number of stocks in the US. What

0:47:08.880 --> 0:47:13.840
<v Speaker 1>does this tell us about our abilities to distinguish between

0:47:13.880 --> 0:47:17.040
<v Speaker 1>skill and luck. I don't know if it's about skill

0:47:17.080 --> 0:47:20.080
<v Speaker 1>and luck as much as it is about um the

0:47:20.120 --> 0:47:23.480
<v Speaker 1>idea of marketing and raising assets. And uh, you know

0:47:23.719 --> 0:47:27.760
<v Speaker 1>before we talked a few moments before about the really

0:47:27.880 --> 0:47:31.719
<v Speaker 1>powerful trend and it's accelerated since the financial crisis of

0:47:31.800 --> 0:47:35.000
<v Speaker 1>a move into passive investing. And some of that's been

0:47:35.040 --> 0:47:36.680
<v Speaker 1>index funds, but a lot of it's been E t

0:47:36.960 --> 0:47:40.120
<v Speaker 1>f s as well. And uh, but not but there

0:47:40.200 --> 0:47:43.399
<v Speaker 1>isn't t s, but there are others, so they're fun.

0:47:43.480 --> 0:47:44.840
<v Speaker 1>So so I think there are a couple of things

0:47:44.880 --> 0:47:47.040
<v Speaker 1>that you know, this is what Charlie Ellis talked about

0:47:47.080 --> 0:47:49.759
<v Speaker 1>the difference between the profession and the business, and the

0:47:49.840 --> 0:47:52.799
<v Speaker 1>professions about delivering and and Jack Bogo and others, the

0:47:52.800 --> 0:47:56.160
<v Speaker 1>professions about delivering access returns. The business is about selling

0:47:56.239 --> 0:47:59.680
<v Speaker 1>people what is in demand today. And going back to

0:47:59.680 --> 0:48:02.000
<v Speaker 1>even five, what happened is we had a huge run

0:48:02.080 --> 0:48:05.600
<v Speaker 1>up and energy. Guess what happened. Zillions of energy funds

0:48:05.640 --> 0:48:08.560
<v Speaker 1>got launched. We had gold that was hot for a while.

0:48:08.680 --> 0:48:12.759
<v Speaker 1>What happened, zillions of gold funds got introduced. You know.

0:48:13.000 --> 0:48:15.359
<v Speaker 1>Then then the markets go down. People go, I need

0:48:15.400 --> 0:48:18.160
<v Speaker 1>given in, I need yields, and now you have yield funds. Right,

0:48:18.200 --> 0:48:21.840
<v Speaker 1>So whatever worked in the last two or three years

0:48:22.440 --> 0:48:25.840
<v Speaker 1>is what people want to do now, and the marketers

0:48:25.840 --> 0:48:28.960
<v Speaker 1>are more than happy to accommodate that. And that's the business,

0:48:29.040 --> 0:48:32.759
<v Speaker 1>the business of finance, right and so that you know,

0:48:32.800 --> 0:48:35.279
<v Speaker 1>So I mean these on on the you know, I

0:48:35.280 --> 0:48:37.000
<v Speaker 1>don't even know what to say about a statistic like

0:48:37.000 --> 0:48:39.719
<v Speaker 1>this is it seems mind blowing, and you know, not

0:48:39.719 --> 0:48:41.200
<v Speaker 1>not a lot of these guys can have a lot

0:48:41.239 --> 0:48:46.680
<v Speaker 1>of assets and so forth. But that is marketers trying

0:48:46.800 --> 0:48:51.960
<v Speaker 1>to take advantage of recent asset class performance with an

0:48:52.000 --> 0:48:54.960
<v Speaker 1>overlay probably of this move to passive and and to

0:48:55.080 --> 0:48:57.359
<v Speaker 1>me so so and right and for investors, I think

0:48:57.400 --> 0:49:00.000
<v Speaker 1>for our listeners, the main thing we want to emphasize

0:49:00.120 --> 0:49:03.480
<v Speaker 1>is that it's just be very careful about. Uh, you

0:49:03.520 --> 0:49:05.799
<v Speaker 1>know what has done well in last two years is

0:49:05.880 --> 0:49:08.239
<v Speaker 1>you know again what you're gonna want. You're gonna say, hey, gee,

0:49:08.360 --> 0:49:10.720
<v Speaker 1>these guys have made a lot of be careful about

0:49:10.719 --> 0:49:13.719
<v Speaker 1>that idea because if it's done well or it's gone

0:49:13.760 --> 0:49:16.480
<v Speaker 1>out for any particular set of circumstances, very unlikely those

0:49:16.480 --> 0:49:19.239
<v Speaker 1>circumstances will repeat in the next twenty four, three, six,

0:49:19.280 --> 0:49:22.040
<v Speaker 1>five years or whatever it is going forward. Mean reversion

0:49:22.320 --> 0:49:25.160
<v Speaker 1>is a alive and well yep, to say the least.

0:49:25.600 --> 0:49:28.600
<v Speaker 1>Um So another quote of yours I really like, along

0:49:28.600 --> 0:49:31.920
<v Speaker 1>with the suggestions you have for dealing with this, is

0:49:32.200 --> 0:49:35.040
<v Speaker 1>different levels of skill and of good and bad luck

0:49:35.120 --> 0:49:38.719
<v Speaker 1>are the realities that shape our lives. Yet we aren't

0:49:38.840 --> 0:49:43.800
<v Speaker 1>very good at distinguishing between the two. So that leads to, uh,

0:49:43.880 --> 0:49:48.319
<v Speaker 1>the immediate question, how can we improve at at separating

0:49:48.440 --> 0:49:52.880
<v Speaker 1>and identifying skill from luck, not only amongst ourselves, but

0:49:53.120 --> 0:49:56.760
<v Speaker 1>at the people we hire, whether it's an investment manager

0:49:57.040 --> 0:50:00.400
<v Speaker 1>or someone in a firm, a business, how can we

0:50:00.560 --> 0:50:06.000
<v Speaker 1>separate skill from luck as a as a personal uh

0:50:06.000 --> 0:50:10.120
<v Speaker 1>approach to the world of finance. So it's an amazing question. Uh.

0:50:10.280 --> 0:50:12.640
<v Speaker 1>The first thing I would start with is sort of

0:50:12.680 --> 0:50:15.080
<v Speaker 1>the centerpiece of the book. The success equation is what

0:50:15.120 --> 0:50:17.480
<v Speaker 1>we call the luck skill continuum. So you might imagine

0:50:17.520 --> 0:50:20.480
<v Speaker 1>sets of activities that are all luck, no skill, right,

0:50:20.719 --> 0:50:24.000
<v Speaker 1>roulet wheels, lotteries, those types of things, and you might

0:50:24.000 --> 0:50:26.440
<v Speaker 1>have a system for the lottery. I have these numbers.

0:50:27.280 --> 0:50:31.319
<v Speaker 1>We'll talk about that later. And then on the other extreme, UH,

0:50:31.520 --> 0:50:34.160
<v Speaker 1>all skill, no luck, right, So you know, you think

0:50:34.160 --> 0:50:37.799
<v Speaker 1>about Olympic sprinters, the best guy is gonna win. Luck

0:50:37.880 --> 0:50:39.600
<v Speaker 1>may play a tiny role, but for the most part,

0:50:39.640 --> 0:50:42.520
<v Speaker 1>it's mostly skilled. Chess is probably over there. And then

0:50:42.520 --> 0:50:44.560
<v Speaker 1>you can think about, you know, how you might even

0:50:44.640 --> 0:50:49.560
<v Speaker 1>qualitatively place activities on that continuum and why you would

0:50:49.560 --> 0:50:52.480
<v Speaker 1>play some And I think just that mental exercise in

0:50:52.520 --> 0:50:55.040
<v Speaker 1>and of itself gives you a lot of insight. And

0:50:55.080 --> 0:50:58.080
<v Speaker 1>by the way, tying into the comment on mean reversion,

0:50:58.280 --> 0:51:00.719
<v Speaker 1>if you're on the luck side of the continuum, And

0:51:00.800 --> 0:51:03.080
<v Speaker 1>by the way, even like performance of the markets are

0:51:03.360 --> 0:51:07.440
<v Speaker 1>less from year to year, is basically random. It tells

0:51:07.440 --> 0:51:09.600
<v Speaker 1>you there's complete reversion to the mean. In other words,

0:51:09.800 --> 0:51:11.759
<v Speaker 1>outcomes that are far from marverage will be followed by

0:51:11.760 --> 0:51:14.640
<v Speaker 1>an outcome it's expected to be very close to the average.

0:51:15.360 --> 0:51:17.640
<v Speaker 1>And and and when there's all skill, no luck, there's

0:51:17.680 --> 0:51:19.560
<v Speaker 1>basically no reversion to mean at all. Right, we sprint

0:51:19.560 --> 0:51:23.640
<v Speaker 1>against usine bolt, he's gonna win every time we run, right, Um,

0:51:23.680 --> 0:51:26.759
<v Speaker 1>so so that's another that's another really interesting. So so

0:51:26.920 --> 0:51:28.680
<v Speaker 1>then you say, well, how do we identify skill? A

0:51:28.719 --> 0:51:30.480
<v Speaker 1>couple of things come to mind on this. The first

0:51:30.560 --> 0:51:33.120
<v Speaker 1>really fat. There's a fascinating strand of research by a

0:51:33.120 --> 0:51:38.000
<v Speaker 1>guy named Boris Groisberg at Harvard Business School, and he

0:51:38.040 --> 0:51:42.000
<v Speaker 1>wrote a book called Chasing Stars, and the idea is

0:51:42.080 --> 0:51:45.200
<v Speaker 1>that when stars from one organization go to the other

0:51:45.440 --> 0:51:50.799
<v Speaker 1>to another, their performance, almost without failure, degrades. Now, there

0:51:50.800 --> 0:51:52.360
<v Speaker 1>could be a couple of reasons for that. The first

0:51:52.440 --> 0:51:54.680
<v Speaker 1>is just classic mean reversion. So someone's been the star,

0:51:54.760 --> 0:51:57.439
<v Speaker 1>they've been lucky, and so that doesn't carry over. So okay,

0:51:57.480 --> 0:51:59.600
<v Speaker 1>we'll check that one off. But the second was that

0:51:59.680 --> 0:52:03.600
<v Speaker 1>people massively underestimate the role of their organization in their

0:52:03.640 --> 0:52:05.719
<v Speaker 1>own success, so they think that they're the one that's

0:52:05.760 --> 0:52:08.319
<v Speaker 1>carrying the weight, but in fact it's everything that's going

0:52:08.360 --> 0:52:10.480
<v Speaker 1>on around them. So that's the first thing, is just

0:52:10.520 --> 0:52:13.520
<v Speaker 1>to be mindful of Hiring stars seems to be the

0:52:13.600 --> 0:52:17.040
<v Speaker 1>path to quick success, but the studies on this, especially

0:52:17.080 --> 0:52:19.160
<v Speaker 1>in the world of finance, demonstrate that that's actually not

0:52:19.200 --> 0:52:21.239
<v Speaker 1>such a good thing. So the last thing I would

0:52:21.280 --> 0:52:23.279
<v Speaker 1>say is when I if I were trying to identify skill,

0:52:23.360 --> 0:52:24.719
<v Speaker 1>what I would A lot of things I would I

0:52:24.760 --> 0:52:27.839
<v Speaker 1>would really want to do things that get at people's behaviors,

0:52:27.880 --> 0:52:30.760
<v Speaker 1>because in interviews you tend to skim along the surface

0:52:30.800 --> 0:52:33.239
<v Speaker 1>and see if you like the person. What you really

0:52:33.239 --> 0:52:36.440
<v Speaker 1>want to do is press into their actual behaviors how

0:52:36.480 --> 0:52:39.320
<v Speaker 1>they actually make decisions. So if I were interviewing a

0:52:39.400 --> 0:52:42.520
<v Speaker 1>portfolio manager or an analyst, I would truly want to say, like,

0:52:42.800 --> 0:52:45.560
<v Speaker 1>how do you value businesses? How do you think about strategy?

0:52:45.600 --> 0:52:48.360
<v Speaker 1>Not just high level, get into the nuts and bolts

0:52:48.400 --> 0:52:50.840
<v Speaker 1>of how they do that, to see what their actual

0:52:50.920 --> 0:52:54.439
<v Speaker 1>processes are, what they're described their actual behaviors, and that's

0:52:54.440 --> 0:52:56.680
<v Speaker 1>the best indication as to whether they're going to continue

0:52:56.719 --> 0:52:59.200
<v Speaker 1>to do that. So so that's a couple of ideas. First,

0:52:59.320 --> 0:53:03.320
<v Speaker 1>just the raw overarching messages is hard, right, And second

0:53:03.360 --> 0:53:04.799
<v Speaker 1>is if you're gonna, if you do have someone you're

0:53:04.800 --> 0:53:06.920
<v Speaker 1>trying to talk to, you is just to do as

0:53:06.920 --> 0:53:10.080
<v Speaker 1>good a job as possible figuring out their actual behaviors,

0:53:10.760 --> 0:53:14.359
<v Speaker 1>not just gimming along the surface of superficial questions. And

0:53:14.400 --> 0:53:17.560
<v Speaker 1>you said something else that I thought it was similarly fascinating,

0:53:17.640 --> 0:53:20.920
<v Speaker 1>which was, when you're trying to determine if something is

0:53:21.160 --> 0:53:24.680
<v Speaker 1>the results of skill or luck, ask yourself the simple question,

0:53:25.280 --> 0:53:28.360
<v Speaker 1>can you lose on purpose? And I found that to

0:53:28.400 --> 0:53:30.719
<v Speaker 1>be quite fascinating. I love that, And you know, I

0:53:30.960 --> 0:53:32.600
<v Speaker 1>don't want I don't want to take credit for that either.

0:53:32.680 --> 0:53:35.640
<v Speaker 1>That came from the poker the poker community, but it's

0:53:35.640 --> 0:53:37.840
<v Speaker 1>an interesting question. I I pose it to my students.

0:53:37.840 --> 0:53:40.840
<v Speaker 1>On January one of every year, you say, give me

0:53:40.920 --> 0:53:43.960
<v Speaker 1>twenty five stocks you're convinced will beat the SMP five.

0:53:44.440 --> 0:53:46.200
<v Speaker 1>Let's get the list right, and we're gonna freeze it

0:53:46.200 --> 0:53:49.440
<v Speaker 1>for the full year. Now, let's get January first. Give

0:53:49.480 --> 0:53:53.120
<v Speaker 1>me the twenty five stocks you're convinced will underperform the market.

0:53:53.680 --> 0:53:56.160
<v Speaker 1>You're sure you would short them with your own money,

0:53:56.280 --> 0:53:58.200
<v Speaker 1>and let's tale up the results of in the year

0:53:58.239 --> 0:53:59.759
<v Speaker 1>and by the way. If you can do the latter,

0:53:59.840 --> 0:54:03.400
<v Speaker 1>you can do the former, right now, So as you know,

0:54:03.520 --> 0:54:05.680
<v Speaker 1>I mean, your sense on this would be, it's really

0:54:05.680 --> 0:54:08.080
<v Speaker 1>hard to beat the market. It's also really hard to

0:54:08.160 --> 0:54:10.719
<v Speaker 1>do worse than the market on purpose, given the same constraints, right,

0:54:10.719 --> 0:54:12.399
<v Speaker 1>given the same number stocks and so on and and so forth,

0:54:12.440 --> 0:54:14.560
<v Speaker 1>you can you can do worse by treating. But that's

0:54:14.560 --> 0:54:16.759
<v Speaker 1>a fascinating concept, right, And that just tells you that

0:54:16.880 --> 0:54:20.839
<v Speaker 1>investing again not because of a lack of skill, rather

0:54:20.920 --> 0:54:23.520
<v Speaker 1>because of a surfeit of skill, which means that everything

0:54:23.600 --> 0:54:26.040
<v Speaker 1>is priced in. It's really hard to beat the market.

0:54:26.200 --> 0:54:27.920
<v Speaker 1>You know. At the end of the second quarter and

0:54:28.080 --> 0:54:29.600
<v Speaker 1>the first half of the year, there was a I

0:54:29.600 --> 0:54:31.960
<v Speaker 1>want to say, wool Street Journal article. I don't know

0:54:32.000 --> 0:54:35.480
<v Speaker 1>if this is consistent over time, but they had noted

0:54:35.520 --> 0:54:40.440
<v Speaker 1>that the first half of the lowest ranked stocks amongst

0:54:40.480 --> 0:54:46.080
<v Speaker 1>the analyst community had significantly outperformed the top rank stocks

0:54:46.120 --> 0:54:48.919
<v Speaker 1>and the best stocks. I wonder if that's something that's

0:54:48.920 --> 0:54:51.319
<v Speaker 1>consistent over time. Yeah, I mean, and I would say

0:54:51.360 --> 0:54:54.040
<v Speaker 1>that seems that feels very consistent what we know to

0:54:54.080 --> 0:54:56.400
<v Speaker 1>be the value factor. Right, So we talked about different

0:54:56.400 --> 0:54:58.440
<v Speaker 1>factors that contribute to returns, and we know that over

0:54:58.480 --> 0:55:00.680
<v Speaker 1>a long period of time, value factors works are basically

0:55:00.760 --> 0:55:02.839
<v Speaker 1>cheap stocks we could say price to book or whatever

0:55:02.880 --> 0:55:05.600
<v Speaker 1>it is, and those tend to be unloved. I mean,

0:55:05.640 --> 0:55:08.400
<v Speaker 1>so that there's probably some relationship between what the analysts

0:55:08.400 --> 0:55:10.560
<v Speaker 1>don't like and what's cheap, and those tend out perform.

0:55:10.560 --> 0:55:12.160
<v Speaker 1>And when we say out perform, we don't mean just

0:55:12.600 --> 0:55:15.640
<v Speaker 1>you know, doing better than the market. It's adjusted for risk. Right,

0:55:15.680 --> 0:55:19.520
<v Speaker 1>So these are yeah, So that's a really interesting um observation.

0:55:19.560 --> 0:55:22.360
<v Speaker 1>And again it goes back to our discussion about fundamentals

0:55:22.400 --> 0:55:25.040
<v Speaker 1>and expectations. Right. People want to buy what's doing well,

0:55:25.080 --> 0:55:26.880
<v Speaker 1>and they want to sell what's doing poorly, and they

0:55:26.880 --> 0:55:29.800
<v Speaker 1>don't distinguish between what's priced in and what's likely to unfold.

0:55:29.880 --> 0:55:34.240
<v Speaker 1>And you had also written about the morning star five

0:55:34.239 --> 0:55:37.839
<v Speaker 1>star versus one star ratings and that funds that are

0:55:37.880 --> 0:55:41.520
<v Speaker 1>five star come back next year they're not five star anymore.

0:55:41.600 --> 0:55:44.560
<v Speaker 1>And the reverse funds that are at the bottom of

0:55:44.560 --> 0:55:48.080
<v Speaker 1>the scale, the one star funds the following year, they're

0:55:48.080 --> 0:55:50.880
<v Speaker 1>not ones. So what does that tell us about mean reversion?

0:55:50.960 --> 0:55:54.239
<v Speaker 1>Is this just something that there's no escaping and and

0:55:54.280 --> 0:55:56.880
<v Speaker 1>that's it. In the investment world. Right, So the degree

0:55:56.880 --> 0:56:00.839
<v Speaker 1>to which UH investing is a luck laden activity. And

0:56:00.880 --> 0:56:03.640
<v Speaker 1>again over short periods of time, certainly a year. Uh,

0:56:03.960 --> 0:56:07.239
<v Speaker 1>it's got huge doses of luck. Um As I said,

0:56:07.239 --> 0:56:09.080
<v Speaker 1>it's on the luck side of the continuum. That's rapid

0:56:09.120 --> 0:56:12.040
<v Speaker 1>reversion to the mean. Right. So the best estimate of

0:56:12.040 --> 0:56:15.120
<v Speaker 1>the expected value some measure much closer to the average

0:56:15.120 --> 0:56:17.520
<v Speaker 1>of the population. So yeah, and by the way, I

0:56:17.520 --> 0:56:19.680
<v Speaker 1>mean those morning stars, you know, these morning start their

0:56:19.719 --> 0:56:22.319
<v Speaker 1>forced curve. So the vast majority of company funds or

0:56:22.560 --> 0:56:24.400
<v Speaker 1>three star and then the two and four less and

0:56:24.400 --> 0:56:26.799
<v Speaker 1>than one five or the extremes. So right, the best

0:56:26.920 --> 0:56:28.960
<v Speaker 1>estimate for a five star once are fund the subsequent

0:56:29.000 --> 0:56:31.440
<v Speaker 1>years basically three And that's roughly what we see my

0:56:32.120 --> 0:56:35.640
<v Speaker 1>uh A little digression. There was a study that I

0:56:35.680 --> 0:56:39.120
<v Speaker 1>give Morning Star credit for releasing it. Someone said, let's

0:56:39.120 --> 0:56:42.240
<v Speaker 1>forget about the star rating and only look at one factor,

0:56:42.640 --> 0:56:44.680
<v Speaker 1>and they went through all the price the book either

0:56:44.800 --> 0:56:46.759
<v Speaker 1>if we can only look at one factor, what would

0:56:46.800 --> 0:56:50.480
<v Speaker 1>it be? And more Star themselves discovered we look at

0:56:50.520 --> 0:56:53.239
<v Speaker 1>the cost factor of owning that funds. If you know

0:56:53.320 --> 0:56:56.520
<v Speaker 1>nothing else, but by the cheapest funds you're ahead of

0:56:56.520 --> 0:56:59.640
<v Speaker 1>of the five star rating, they kind of eliminated their

0:56:59.640 --> 0:57:03.880
<v Speaker 1>own for existence. I think they wish that that memory

0:57:03.880 --> 0:57:05.680
<v Speaker 1>of that would go away, but I seem to bring

0:57:05.680 --> 0:57:08.799
<v Speaker 1>it up every six months or so. It's quite astonishing,

0:57:08.840 --> 0:57:10.839
<v Speaker 1>isn't that it is? And that's consistent with everyone we've

0:57:10.840 --> 0:57:12.960
<v Speaker 1>been talking about, and you know that's That's the other

0:57:13.000 --> 0:57:15.839
<v Speaker 1>thing is it's interesting when you think about fees, and look,

0:57:15.840 --> 0:57:18.320
<v Speaker 1>I don't think anybody begrudges paying fees, but you know,

0:57:18.360 --> 0:57:20.600
<v Speaker 1>when you're paying a fee of let's say, for an

0:57:20.600 --> 0:57:23.360
<v Speaker 1>average metual fund on Hunter twenty five basis points in

0:57:23.400 --> 0:57:25.800
<v Speaker 1>a world where the markets up, you know, ten fifteen

0:57:25.840 --> 0:57:29.000
<v Speaker 1>percent a year as we saw nobody, it rolls right

0:57:29.040 --> 0:57:32.120
<v Speaker 1>off your back. But now when you have effectively zero

0:57:32.440 --> 0:57:34.840
<v Speaker 1>real interest rates in the States, you have you know,

0:57:35.400 --> 0:57:38.560
<v Speaker 1>negative overseas, never the negative overseas, and it's hard to see,

0:57:38.920 --> 0:57:42.160
<v Speaker 1>you know, X returns for the equity markets vastly higher

0:57:42.160 --> 0:57:45.320
<v Speaker 1>and certainly in the double digits. Uh, those those numbers

0:57:45.400 --> 0:57:47.760
<v Speaker 1>feel they sting a lot more. And then you look

0:57:47.800 --> 0:57:51.479
<v Speaker 1>around and there are certain vanguard funds that are six

0:57:51.560 --> 0:57:55.800
<v Speaker 1>basis points on the Admiral Institutional Clash d f A

0:57:55.800 --> 0:57:59.960
<v Speaker 1>also really low fees, it becomes more and more challenging

0:58:00.120 --> 0:58:04.000
<v Speaker 1>to justify. Maybe that's why there's fifty seven thousand new funds.

0:58:04.000 --> 0:58:07.280
<v Speaker 1>Something will will get hot and stick, and maybe it's

0:58:07.320 --> 0:58:09.440
<v Speaker 1>just part of the culling process. Hey, throw it all

0:58:09.480 --> 0:58:12.120
<v Speaker 1>against the wall, see what what survives, and we can

0:58:12.160 --> 0:58:14.040
<v Speaker 1>get rid of the rest. And I don't think that's

0:58:14.080 --> 0:58:16.880
<v Speaker 1>I mean, I think the fifty seven thousand numbers obviously

0:58:16.880 --> 0:58:19.479
<v Speaker 1>a huge number, and that's probably what is somewhat new.

0:58:19.520 --> 0:58:22.800
<v Speaker 1>But this this idea of rolling out products of what's

0:58:22.800 --> 0:58:25.200
<v Speaker 1>hot is it's certainly not a not a new thing. Right.

0:58:26.040 --> 0:58:28.240
<v Speaker 1>So before I get to my favorite questions, I have

0:58:28.360 --> 0:58:32.360
<v Speaker 1>to ask you one more question that really sums up

0:58:32.400 --> 0:58:35.280
<v Speaker 1>a lot of of what we've been talking about and

0:58:35.360 --> 0:58:40.000
<v Speaker 1>applying it to um the world of investing. So we

0:58:40.080 --> 0:58:43.440
<v Speaker 1>all know who the great managers were, and and we

0:58:43.480 --> 0:58:47.440
<v Speaker 1>always seem to discover these folks after their best years.

0:58:48.400 --> 0:58:52.880
<v Speaker 1>Is it possible to identify skilled managers in advance? Is

0:58:52.920 --> 0:58:58.040
<v Speaker 1>that something that's realistic for the average pension fund, the

0:58:58.080 --> 0:59:01.840
<v Speaker 1>average institutional investor, or or are we just always chasing

0:59:01.880 --> 0:59:05.280
<v Speaker 1>our tel It's a great question. I think it's really

0:59:05.280 --> 0:59:07.720
<v Speaker 1>difficult to do, but there may be some things you

0:59:07.760 --> 0:59:10.240
<v Speaker 1>can do to skew the odds a bit in your favor. So,

0:59:10.280 --> 0:59:12.840
<v Speaker 1>if I wanted to be optimistic or give that optimistic

0:59:12.880 --> 0:59:15.360
<v Speaker 1>side of the story, a couple of things I would say.

0:59:15.400 --> 0:59:18.280
<v Speaker 1>The first is going back to a discussion we had

0:59:18.320 --> 0:59:21.080
<v Speaker 1>a few moments ago, which is does that investor have

0:59:21.440 --> 0:59:26.800
<v Speaker 1>a thoughtful process, analytical process and portfolio construction related? Are

0:59:26.840 --> 0:59:30.160
<v Speaker 1>they mindful of the behavioral issues? And do they have

0:59:30.200 --> 0:59:33.280
<v Speaker 1>an organization that tends to be the proper type of organization?

0:59:33.720 --> 0:59:35.000
<v Speaker 1>But there are a couple of the things that will

0:59:35.040 --> 0:59:37.560
<v Speaker 1>also skew your odds in your favor. Um. The first,

0:59:37.600 --> 0:59:40.600
<v Speaker 1>interestingly is the age of the money manager, and UH

0:59:40.720 --> 0:59:43.720
<v Speaker 1>research suggests that the optimal age for a money manager

0:59:43.880 --> 0:59:48.280
<v Speaker 1>is in his or her early forties. Really so UM,

0:59:48.320 --> 0:59:52.560
<v Speaker 1>so that's one thing. Another would be, UH, if they've gone,

0:59:52.560 --> 0:59:56.240
<v Speaker 1>if they're bright people and silly, as it sounds, people

0:59:56.240 --> 0:59:59.000
<v Speaker 1>that go to better schools or better SAT scores on average,

0:59:59.080 --> 1:00:02.120
<v Speaker 1>or better investors. Uh. You'd like to see the size

1:00:02.120 --> 1:00:04.480
<v Speaker 1>of the fund being not too big. So we know

1:00:04.560 --> 1:00:06.640
<v Speaker 1>that size tends to be challenging, so you want to

1:00:06.640 --> 1:00:08.480
<v Speaker 1>be big enough to have some critical masses and the

1:00:08.480 --> 1:00:11.200
<v Speaker 1>resources you need, but not so so large that you're

1:00:11.200 --> 1:00:13.960
<v Speaker 1>moving tons of money around, which makes it difficult. And

1:00:14.000 --> 1:00:17.480
<v Speaker 1>the last one, which I think is still controversial, but um,

1:00:17.520 --> 1:00:19.120
<v Speaker 1>but I think it's probably a heristic for something it

1:00:19.200 --> 1:00:21.240
<v Speaker 1>is useful, and that's high active share, which is they're

1:00:21.240 --> 1:00:23.680
<v Speaker 1>doing something quite different, right, So you're paying if you're

1:00:23.680 --> 1:00:25.400
<v Speaker 1>paying someone a fee, you want them to be doing

1:00:25.440 --> 1:00:29.000
<v Speaker 1>something quite different than say the SP five index. And

1:00:29.080 --> 1:00:32.040
<v Speaker 1>so if you have a couple of those things working

1:00:32.080 --> 1:00:35.320
<v Speaker 1>for you, the age, they're bright people, the size is appropriate,

1:00:35.400 --> 1:00:37.760
<v Speaker 1>that they're doing something different, and the process seems to

1:00:37.760 --> 1:00:41.960
<v Speaker 1>be sensible. Those probably shade the odds in your favor

1:00:42.040 --> 1:00:46.240
<v Speaker 1>to some degree. But as you point out, I think correctly, Um,

1:00:46.320 --> 1:00:50.520
<v Speaker 1>it's difficult to to find an anticipate performance excess returns

1:00:50.520 --> 1:00:52.760
<v Speaker 1>in the future, for sure. Al Right, So in the

1:00:52.840 --> 1:00:55.040
<v Speaker 1>last ten minutes or so that we have, let's let's

1:00:55.040 --> 1:00:59.120
<v Speaker 1>go over um my standard questions. These were not in

1:00:59.200 --> 1:01:03.480
<v Speaker 1>existence when we first did this two years ago. So, um,

1:01:03.520 --> 1:01:07.080
<v Speaker 1>some of these are kind of kind of interesting. Um,

1:01:07.080 --> 1:01:10.560
<v Speaker 1>how did you find your way into the financial services industry?

1:01:10.600 --> 1:01:13.640
<v Speaker 1>You you come out of school with the b A

1:01:14.000 --> 1:01:17.120
<v Speaker 1>and what made you attack in that direction? Well, can

1:01:17.120 --> 1:01:19.680
<v Speaker 1>I tell you a very quick funny story about this.

1:01:19.760 --> 1:01:21.720
<v Speaker 1>So I was. I went to Georgetown. I was a

1:01:21.720 --> 1:01:23.840
<v Speaker 1>government major, had no idea what I want to do.

1:01:24.240 --> 1:01:27.200
<v Speaker 1>No I knew I needed a job, and uh one

1:01:27.240 --> 1:01:29.680
<v Speaker 1>of the firms interviewed on campus with Drexel Burnham Lombert,

1:01:29.720 --> 1:01:31.840
<v Speaker 1>which you may recall, was it quite a firm, quite

1:01:31.840 --> 1:01:33.840
<v Speaker 1>a hot firm back in the mid nine eighties. So

1:01:33.880 --> 1:01:36.040
<v Speaker 1>I did well enough of my New York Washington interviews

1:01:36.040 --> 1:01:37.560
<v Speaker 1>that invited me to New York. Isn't a big deal.

1:01:37.640 --> 1:01:40.320
<v Speaker 1>Get my best suit, my best tie on, and we

1:01:40.360 --> 1:01:42.680
<v Speaker 1>sit around. All the candidates sit around the table, you know,

1:01:42.880 --> 1:01:44.280
<v Speaker 1>before the big day of interviews, and they say, hey,

1:01:44.280 --> 1:01:46.240
<v Speaker 1>you're gonna have six interviews with different people on our program,

1:01:46.280 --> 1:01:48.120
<v Speaker 1>and you get ten minutes with a head guy. Right,

1:01:48.120 --> 1:01:49.600
<v Speaker 1>So obviously you want to be good all day. But

1:01:50.000 --> 1:01:52.480
<v Speaker 1>that's a game for your for the day. So I

1:01:52.520 --> 1:01:55.120
<v Speaker 1>go through the interviews. It's fine. I meet the big

1:01:55.160 --> 1:01:57.280
<v Speaker 1>guy and you know, he's a great guy, really warm,

1:01:57.360 --> 1:01:59.120
<v Speaker 1>and I sit down and I see peeking out from

1:01:59.200 --> 1:02:02.000
<v Speaker 1>underneath his death Washington Redskins, trash can. I went to

1:02:02.080 --> 1:02:03.840
<v Speaker 1>went to Georgia. The riskins were good back then I'd

1:02:03.840 --> 1:02:05.520
<v Speaker 1>gone to a couple of games. So I say to him,

1:02:05.560 --> 1:02:08.520
<v Speaker 1>kind of off handily, hey that's a great trash can, literally,

1:02:08.920 --> 1:02:11.360
<v Speaker 1>and this triggers this guy's emotional seats. So he goes

1:02:11.480 --> 1:02:14.840
<v Speaker 1>on about, you know, the virtues of athletics, and you know,

1:02:15.000 --> 1:02:17.480
<v Speaker 1>metaphor for life, how much you love living in Washington,

1:02:18.080 --> 1:02:20.680
<v Speaker 1>and my my ten minute interview becomes fifteen minutes and

1:02:20.720 --> 1:02:23.360
<v Speaker 1>me mostly nodding up and down in agreement with everything

1:02:23.360 --> 1:02:25.280
<v Speaker 1>he said. So I go back to school a couple

1:02:25.280 --> 1:02:27.840
<v Speaker 1>of weeks later, get the letter offered the jobs is awesome,

1:02:28.120 --> 1:02:31.080
<v Speaker 1>start the program, and about three months into it, one

1:02:31.080 --> 1:02:32.640
<v Speaker 1>of the guys pulls me aside says, hey, kid, you're

1:02:32.680 --> 1:02:35.200
<v Speaker 1>doing fine, so you know it's okay, but I have

1:02:35.280 --> 1:02:37.360
<v Speaker 1>to tell you that the six people who you interviewed with,

1:02:37.400 --> 1:02:39.960
<v Speaker 1>who are the core of the interview process, voted against

1:02:40.040 --> 1:02:43.200
<v Speaker 1>hiring you. He goes but the head guy came down

1:02:43.240 --> 1:02:46.520
<v Speaker 1>and reviewed our sheets and recommendations and said, Override, you

1:02:46.520 --> 1:02:48.840
<v Speaker 1>have to hire this kid. He's great. Right, So, as

1:02:48.880 --> 1:02:50.960
<v Speaker 1>I like to say, my my career was launched by

1:02:50.960 --> 1:02:53.520
<v Speaker 1>a trash can, right, which is quite literally the case.

1:02:53.560 --> 1:02:56.920
<v Speaker 1>And and and thankfully these more formal processes weren't in

1:02:56.960 --> 1:02:58.560
<v Speaker 1>place at the time because I wouldn't have been hired.

1:02:58.600 --> 1:03:00.560
<v Speaker 1>So so that was it. And and that was a

1:03:00.600 --> 1:03:03.240
<v Speaker 1>really interesting experience because it was a year and a

1:03:03.280 --> 1:03:06.040
<v Speaker 1>half long training program that led to be a financial advisor.

1:03:06.560 --> 1:03:08.440
<v Speaker 1>So we did a lot of classroom stuff for a

1:03:08.480 --> 1:03:11.520
<v Speaker 1>liberal arts guy, tremendous, right, so basic accounting and finance

1:03:11.560 --> 1:03:14.240
<v Speaker 1>and so forth, and then we rotated through about twenty

1:03:14.280 --> 1:03:19.360
<v Speaker 1>different departments at Drexel Burnham, everywhere from operations to investment

1:03:19.360 --> 1:03:22.320
<v Speaker 1>banking to research, all the trading desks. So if you're

1:03:22.360 --> 1:03:24.680
<v Speaker 1>a person that didn't know what your future, what you

1:03:24.680 --> 1:03:28.000
<v Speaker 1>were about, you're gonna find yourself right through that program.

1:03:28.040 --> 1:03:29.720
<v Speaker 1>And then I went on to be a financial advisor

1:03:29.880 --> 1:03:33.120
<v Speaker 1>at drug we call them brokers back then, uh at Drexel,

1:03:33.200 --> 1:03:38.040
<v Speaker 1>and was an abject failure at that job. Abject sales

1:03:38.160 --> 1:03:40.760
<v Speaker 1>job as a sales job, and it was it was

1:03:41.320 --> 1:03:44.400
<v Speaker 1>started in early so that was on the heels of

1:03:44.440 --> 1:03:47.120
<v Speaker 1>the crash of eighty seven and Drexel at that point

1:03:47.200 --> 1:03:49.080
<v Speaker 1>was in a little bit of hot water, so those

1:03:49.080 --> 1:03:51.440
<v Speaker 1>were sort of mitigating factors. But basically I was not

1:03:51.840 --> 1:03:54.560
<v Speaker 1>good at this at all. So fortunately I was able

1:03:54.600 --> 1:03:56.080
<v Speaker 1>to figure out a little bit of what I wanted

1:03:56.120 --> 1:04:00.600
<v Speaker 1>to do. But that was my my store, my exactly,

1:04:00.640 --> 1:04:01.920
<v Speaker 1>but it was it was in some ways it was

1:04:01.960 --> 1:04:04.200
<v Speaker 1>a great I mean, it was a great experience for sure,

1:04:04.720 --> 1:04:07.760
<v Speaker 1>but knowing what you're not good at was a wake

1:04:07.840 --> 1:04:09.440
<v Speaker 1>up call to saying, like I should go off and

1:04:09.480 --> 1:04:12.280
<v Speaker 1>do something different. So so that raises the next question,

1:04:12.320 --> 1:04:15.520
<v Speaker 1>so who are your mentors? So in my training program,

1:04:15.560 --> 1:04:18.600
<v Speaker 1>actually a guy in my group gave me a copy

1:04:18.800 --> 1:04:21.200
<v Speaker 1>of a book called Creating Sheer Older Value by a

1:04:21.240 --> 1:04:25.560
<v Speaker 1>professor at Northwestern named L. Rappaport. And I was, you know,

1:04:25.600 --> 1:04:27.400
<v Speaker 1>a liberal arts guy, and these guys are talking all

1:04:27.400 --> 1:04:29.720
<v Speaker 1>this finance jargon. It was way over my head and

1:04:29.760 --> 1:04:32.760
<v Speaker 1>actually candidly didn't make a lot of sense. That book

1:04:32.800 --> 1:04:34.680
<v Speaker 1>was the first book that really made sense to me.

1:04:34.760 --> 1:04:37.120
<v Speaker 1>And and and rapp reports said three things that to

1:04:37.200 --> 1:04:39.360
<v Speaker 1>this day remained at my core. And I would say,

1:04:39.360 --> 1:04:42.440
<v Speaker 1>he's not only a mentor, he's a dear friend and

1:04:42.480 --> 1:04:45.040
<v Speaker 1>a co author and so forth. The first was that

1:04:45.120 --> 1:04:48.320
<v Speaker 1>it's not about accounting numbers, is about economic value, which

1:04:48.520 --> 1:04:51.080
<v Speaker 1>is really important. And we forget that lesson but it

1:04:51.120 --> 1:04:53.520
<v Speaker 1>comes it rears its head from time to time. Second

1:04:53.600 --> 1:04:59.960
<v Speaker 1>is that valuation requires understanding both finance and competitive strategy intimately,

1:05:00.120 --> 1:05:03.840
<v Speaker 1>so they're not Valuation and strategy are not two separate activities,

1:05:03.960 --> 1:05:05.520
<v Speaker 1>which is how we teach them in business school, by

1:05:05.560 --> 1:05:07.520
<v Speaker 1>the way, but really should be joined at the hip.

1:05:08.040 --> 1:05:11.400
<v Speaker 1>And the third was chapter seven called stock Market Signals

1:05:11.440 --> 1:05:13.880
<v Speaker 1>for Managers, and it was the argument that stock prices

1:05:13.920 --> 1:05:17.720
<v Speaker 1>reflect expectations and that a manager just investing in a

1:05:17.760 --> 1:05:19.600
<v Speaker 1>way that earns the cost of cabal isn't going to

1:05:19.680 --> 1:05:22.720
<v Speaker 1>get you excess returns. It's beating with the market believes,

1:05:23.520 --> 1:05:25.600
<v Speaker 1>and that for me, it was a huge revelation, right,

1:05:25.720 --> 1:05:28.600
<v Speaker 1>and he was His target was corporate executives, but the

1:05:28.720 --> 1:05:32.600
<v Speaker 1>relevance for investors was obvious. So I started emulating a

1:05:32.640 --> 1:05:35.880
<v Speaker 1>lot of the Rappaport techniques, which are basically standard finance techniques,

1:05:36.040 --> 1:05:37.920
<v Speaker 1>and a lot of my research, including deep dies on

1:05:37.960 --> 1:05:40.960
<v Speaker 1>competitive strategy and a lot of valuation work. And again

1:05:41.000 --> 1:05:42.560
<v Speaker 1>that's how I got to I got to meet him

1:05:42.600 --> 1:05:45.600
<v Speaker 1>in the early nines, about twenty five years ago, and

1:05:45.600 --> 1:05:48.160
<v Speaker 1>from then we we sort of cultivated. So he's been

1:05:48.200 --> 1:05:51.160
<v Speaker 1>he has been tremendous. The other guy for me has

1:05:51.160 --> 1:05:53.120
<v Speaker 1>also been Bill Miller. And you mentioned I worked with

1:05:53.120 --> 1:05:55.080
<v Speaker 1>Bill for nine years, but even going back to the

1:05:55.080 --> 1:05:57.480
<v Speaker 1>early one of the early and this is before he

1:05:57.520 --> 1:05:59.880
<v Speaker 1>was the famous money manager right the S and p F.

1:06:01.440 --> 1:06:04.400
<v Speaker 1>This is before, this is before it was just a streak,

1:06:04.600 --> 1:06:07.600
<v Speaker 1>highly unlikely random. It won't it won't get I don't

1:06:07.600 --> 1:06:10.320
<v Speaker 1>think that one will be broken. But but he's also

1:06:10.360 --> 1:06:13.480
<v Speaker 1>a guy who's uh, you know, very valuation focused, very

1:06:13.480 --> 1:06:17.360
<v Speaker 1>widely read guy, very multi disciplinary guy. Um and you know,

1:06:17.520 --> 1:06:20.200
<v Speaker 1>a wonderful guy to just talk to and learn from.

1:06:20.240 --> 1:06:22.600
<v Speaker 1>So those are a couple of guys that certainly stand out,

1:06:22.840 --> 1:06:25.720
<v Speaker 1>um in terms of in terms of mentor but Rapp

1:06:25.840 --> 1:06:28.040
<v Speaker 1>in terms of actually understand the business and thinking about

1:06:28.520 --> 1:06:31.400
<v Speaker 1>Al Rapp Reports stands above all for me as it's

1:06:31.440 --> 1:06:36.200
<v Speaker 1>just a hugely, deeply influential person. So let's talk about books.

1:06:36.240 --> 1:06:39.680
<v Speaker 1>We we've mentioned a number of different books. Uh, what

1:06:39.720 --> 1:06:42.320
<v Speaker 1>are some of your favorite books? Be them, be they

1:06:42.480 --> 1:06:49.440
<v Speaker 1>investing tons or otherwise just beside yours? Okay, okay, it

1:06:49.520 --> 1:06:53.440
<v Speaker 1>goes without saying right, So UM, look, I mentioned already

1:06:53.440 --> 1:06:55.880
<v Speaker 1>Al rapp Reports book Creating Shoulder Value, UM, which was

1:06:55.920 --> 1:06:59.280
<v Speaker 1>written original version of it. A couple other books that

1:06:59.360 --> 1:07:04.720
<v Speaker 1>for me been tremendously valuable. Um, Mitch Waldrop's book on Complexity.

1:07:04.800 --> 1:07:06.680
<v Speaker 1>So this is the history of the of the Santa

1:07:06.680 --> 1:07:09.520
<v Speaker 1>Fe Institute. So that introduced a whole sleuve ideas that

1:07:09.560 --> 1:07:14.920
<v Speaker 1>were wildly influential for me. Love Robert Schildini's book Influence

1:07:14.920 --> 1:07:17.200
<v Speaker 1>of Psychology or Persuasion. That should be a must read,

1:07:17.320 --> 1:07:21.880
<v Speaker 1>especially for young people. Peter Bernstein just was whatever and

1:07:21.960 --> 1:07:23.959
<v Speaker 1>so whatever he writes, but the two I would mention

1:07:24.000 --> 1:07:26.280
<v Speaker 1>to be against the God. I just read that. You

1:07:26.320 --> 1:07:29.560
<v Speaker 1>know it can't get enough right and you should reread that.

1:07:29.720 --> 1:07:33.680
<v Speaker 1>And Capital Ideas was also terrific Um and then a

1:07:33.720 --> 1:07:36.280
<v Speaker 1>couple more. Another ones a little bit off the radar

1:07:36.360 --> 1:07:38.800
<v Speaker 1>for the investing world is John Gaddis's book The Landscape

1:07:38.800 --> 1:07:42.360
<v Speaker 1>of History Really, and Gaddis is a professor of history Yale,

1:07:42.560 --> 1:07:44.800
<v Speaker 1>And Um, this is a night it's actually a series

1:07:44.840 --> 1:07:46.960
<v Speaker 1>of lectures that are written in a book. And it's

1:07:47.000 --> 1:07:49.440
<v Speaker 1>the craft. It's about asking the questions about what is

1:07:49.480 --> 1:07:52.320
<v Speaker 1>the craft of history? And I think what's so interesting

1:07:52.360 --> 1:07:54.840
<v Speaker 1>to me is that many of those ideas are ideas

1:07:54.840 --> 1:07:57.560
<v Speaker 1>that spill right over to the world of investing as

1:07:57.600 --> 1:08:00.200
<v Speaker 1>an as an as an analyst or portfolio man your

1:08:00.760 --> 1:08:03.720
<v Speaker 1>how do you craft stories, how do you understand causality?

1:08:03.960 --> 1:08:08.480
<v Speaker 1>How do you grapple with complexity? So gaddis wonderful and

1:08:08.480 --> 1:08:11.920
<v Speaker 1>it's it's really interestingly written book. So, um, you know.

1:08:11.920 --> 1:08:13.920
<v Speaker 1>And then the other one I just mentioned is is E. O.

1:08:14.000 --> 1:08:16.519
<v Speaker 1>Wilson's book Consilience. We may have talked about that before,

1:08:16.520 --> 1:08:20.800
<v Speaker 1>but we have not ed. Wilson is Uh. He's a criminologists,

1:08:20.960 --> 1:08:24.719
<v Speaker 1>a professor. As a professor at Harvard, he is the

1:08:24.720 --> 1:08:29.960
<v Speaker 1>world's leading expert in ants. Okay, so I'm thinking of

1:08:29.960 --> 1:08:32.960
<v Speaker 1>a difference. So yeah, it could be. And so and

1:08:33.560 --> 1:08:36.840
<v Speaker 1>he wrote a book of years ago cults consilience, and

1:08:36.920 --> 1:08:40.519
<v Speaker 1>consilience is one of these old words which means the

1:08:40.680 --> 1:08:44.320
<v Speaker 1>unification of knowledge. And the argument that Wilson made in

1:08:44.360 --> 1:08:48.479
<v Speaker 1>this book was, Hey, we've made enormous strides, uh in

1:08:49.160 --> 1:08:53.760
<v Speaker 1>the last few centuries by being reductionist and disciplinary. So

1:08:53.760 --> 1:08:55.960
<v Speaker 1>in other words, the biologists hang out with the biologist

1:08:56.000 --> 1:08:59.160
<v Speaker 1>and with business. He said, Look, the most vexing problems

1:08:59.240 --> 1:09:02.960
<v Speaker 1>in our world are standing at the intersections of disciplines,

1:09:03.360 --> 1:09:05.760
<v Speaker 1>and so for us to really advance, we need this

1:09:05.880 --> 1:09:10.040
<v Speaker 1>concilience's unification of knowledge very much resonated with me, and

1:09:10.080 --> 1:09:12.439
<v Speaker 1>I truly believe that. And we talked about, you know,

1:09:12.439 --> 1:09:16.360
<v Speaker 1>even Danny Khneman winning the Nobel Prize in economics even

1:09:16.400 --> 1:09:19.400
<v Speaker 1>though he's never taught an economics class in his life, right,

1:09:19.600 --> 1:09:22.559
<v Speaker 1>but what he's brought to bear something that's really useful

1:09:22.600 --> 1:09:25.920
<v Speaker 1>for both psychologists and economists, right, So that intersection, and

1:09:26.240 --> 1:09:28.960
<v Speaker 1>Dick Taylor, who will likely win the Nobel Prize, also

1:09:29.840 --> 1:09:32.880
<v Speaker 1>operating in that intersection. But go on and on, I mean,

1:09:32.920 --> 1:09:35.960
<v Speaker 1>what can you learn from a biologist? Offline? We were

1:09:35.960 --> 1:09:37.639
<v Speaker 1>talking about some of the things you listen to about

1:09:37.760 --> 1:09:40.679
<v Speaker 1>musicians or comedians. What can you learn from what those

1:09:40.720 --> 1:09:43.960
<v Speaker 1>guys do their creative processes their businesses that it might

1:09:44.080 --> 1:09:46.759
<v Speaker 1>might apply to your creative process in your business. Gotta

1:09:46.800 --> 1:09:49.599
<v Speaker 1>be stuff that's relevant, right, And so to me, that

1:09:49.680 --> 1:09:52.840
<v Speaker 1>whole way of thinking and reaching outside of your own

1:09:52.960 --> 1:09:56.800
<v Speaker 1>little world for ideas that may apply. Um so, so

1:09:56.960 --> 1:09:58.920
<v Speaker 1>Ed Wilson's book on that is probably you know, the

1:09:59.360 --> 1:10:04.200
<v Speaker 1>great one. So my last two questions and and these

1:10:04.240 --> 1:10:07.320
<v Speaker 1>are my two favorites. Some millennial comes up to you

1:10:07.360 --> 1:10:10.719
<v Speaker 1>and says, hey, I'm thinking about getting into UH finance.

1:10:10.800 --> 1:10:13.760
<v Speaker 1>You teach at Columbia so you must have a lot

1:10:13.800 --> 1:10:17.439
<v Speaker 1>of students who occasionally say, I'm interested in finance. What

1:10:17.560 --> 1:10:19.280
<v Speaker 1>sort of advice would you give them? You know, So

1:10:19.320 --> 1:10:22.240
<v Speaker 1>there there are two sides this one night classical finance,

1:10:22.240 --> 1:10:25.559
<v Speaker 1>of corporate finance, mergers and acquisitions and capital raising, all

1:10:25.600 --> 1:10:28.320
<v Speaker 1>that stuff is likely to continue, so that if they're

1:10:28.360 --> 1:10:31.200
<v Speaker 1>interested in that, that's fine. More of the questions I

1:10:31.200 --> 1:10:33.680
<v Speaker 1>get about money management, And you know, Richard grin Old

1:10:33.720 --> 1:10:36.599
<v Speaker 1>wrote this really fascinating paper twenty five years ago about

1:10:36.640 --> 1:10:39.479
<v Speaker 1>the law of active management, and he basically said, we'll

1:10:39.560 --> 1:10:43.200
<v Speaker 1>use English terms instead of Greek terms excess returns or

1:10:43.200 --> 1:10:46.760
<v Speaker 1>a function of your skill times your opportunity set. And

1:10:46.800 --> 1:10:48.439
<v Speaker 1>that's a really interesting way to think about this, right,

1:10:48.439 --> 1:10:50.280
<v Speaker 1>because you can be the most skillful person in the world,

1:10:50.320 --> 1:10:53.840
<v Speaker 1>but if your opportunity set is not very attractive, you're

1:10:53.840 --> 1:10:56.000
<v Speaker 1>not gonna go very far with your access returns. So

1:10:56.040 --> 1:10:57.880
<v Speaker 1>one thing I just asked to encourage the students to

1:10:57.920 --> 1:11:00.599
<v Speaker 1>think about is where do you think the next twenty

1:11:00.600 --> 1:11:03.639
<v Speaker 1>five years things are going to be a little more exciting? Right?

1:11:03.720 --> 1:11:06.320
<v Speaker 1>Where where is the where the opportunity is going to reside?

1:11:07.600 --> 1:11:13.280
<v Speaker 1>My guess is it's unlikely to be the dwive US

1:11:13.360 --> 1:11:18.080
<v Speaker 1>value manager Large Camp. It's unlikely to be. It's much

1:11:18.120 --> 1:11:21.200
<v Speaker 1>more likely to be somewhere in emerging markets, maybe even

1:11:21.320 --> 1:11:26.080
<v Speaker 1>you know, uh, you know, Africa or parts of Asia.

1:11:26.400 --> 1:11:27.840
<v Speaker 1>So to me, that would be the thing to think

1:11:27.840 --> 1:11:30.360
<v Speaker 1>about is if you you're gonna lay out next years,

1:11:30.360 --> 1:11:32.759
<v Speaker 1>where do you think that those, um, those excess returns

1:11:32.760 --> 1:11:34.880
<v Speaker 1>are going to be. The other thing I would say

1:11:35.000 --> 1:11:37.200
<v Speaker 1>is that and you know, I think you've talked a

1:11:37.240 --> 1:11:41.160
<v Speaker 1>lot about this as well. We've really moved rapidly towards

1:11:41.280 --> 1:11:45.040
<v Speaker 1>quantitative methods, and the other other thing to think about

1:11:45.160 --> 1:11:51.000
<v Speaker 1>is are there ways that we can meld or advanced

1:11:51.080 --> 1:11:54.240
<v Speaker 1>quantitative techniques so meld them with our without what we're

1:11:54.280 --> 1:11:57.320
<v Speaker 1>doing fundamentally, So so some blend of those two techniques

1:11:57.400 --> 1:12:00.760
<v Speaker 1>or advanced un quantitative So that if you said, where

1:12:00.800 --> 1:12:02.760
<v Speaker 1>is the future going? To me, I think these quantitative

1:12:02.800 --> 1:12:06.559
<v Speaker 1>techniques are certainly not going to uh be rolled back.

1:12:06.600 --> 1:12:08.640
<v Speaker 1>I think we're going to continue to see that advancement.

1:12:09.080 --> 1:12:11.800
<v Speaker 1>And our final question, what is it that you know

1:12:11.880 --> 1:12:15.479
<v Speaker 1>about investing today that you wish you knew when you

1:12:15.520 --> 1:12:18.840
<v Speaker 1>began in the nineteen eighties? Geez, A lot of things,

1:12:18.960 --> 1:12:21.240
<v Speaker 1>But the first is I mean, we really have. The

1:12:21.360 --> 1:12:25.200
<v Speaker 1>complexion of the market has changed a great deal. When

1:12:25.200 --> 1:12:27.920
<v Speaker 1>I started thirty years ago, indexing was less than one

1:12:27.960 --> 1:12:30.439
<v Speaker 1>percent of assets under management. By the way we looked

1:12:30.439 --> 1:12:35.000
<v Speaker 1>this up, the equity US equity mutual fund industry assets

1:12:35.080 --> 1:12:39.360
<v Speaker 1>under management were hundred and thirty five billion. Wow, that's amazing.

1:12:39.600 --> 1:12:42.840
<v Speaker 1>It's just mind boggling. In thirties decent sized funds. Decent

1:12:42.920 --> 1:12:46.040
<v Speaker 1>size fund today, Isn't it remarkable? So the whole complexion

1:12:46.040 --> 1:12:47.639
<v Speaker 1>has changed a great deal. But there are a couple

1:12:47.640 --> 1:12:50.040
<v Speaker 1>of things that I would note. One is that that phenomenon,

1:12:50.040 --> 1:12:52.479
<v Speaker 1>so we've gone from basically a standstill to thirty five

1:12:52.479 --> 1:12:55.960
<v Speaker 1>percentage something like that that's passive or index So that's

1:12:55.960 --> 1:12:59.160
<v Speaker 1>a big change. The other fascinating change is that, um

1:12:59.400 --> 1:13:04.800
<v Speaker 1>most fun were single managed by one person about years ago.

1:13:04.840 --> 1:13:09.559
<v Speaker 1>That's now down about most teams. Yeah, their team run,

1:13:09.920 --> 1:13:12.000
<v Speaker 1>which is it? Truly That's another really big change and

1:13:12.040 --> 1:13:14.680
<v Speaker 1>what's going on. And I think the other thing is

1:13:14.720 --> 1:13:16.679
<v Speaker 1>just the level of skill has gone up, and going

1:13:16.680 --> 1:13:18.599
<v Speaker 1>back to our discussion on the paradox of skill, we've

1:13:18.640 --> 1:13:21.240
<v Speaker 1>never seen more skill than we have today, and that

1:13:21.360 --> 1:13:23.799
<v Speaker 1>has made it much more difficult to outperform the market.

1:13:24.360 --> 1:13:27.200
<v Speaker 1>So I mean it's it's always exciting, as you point out,

1:13:27.200 --> 1:13:29.880
<v Speaker 1>because there's always something going on, the world is always changing.

1:13:30.479 --> 1:13:33.799
<v Speaker 1>What's deeply fascinating about this business is you've never figured

1:13:33.840 --> 1:13:36.080
<v Speaker 1>it out right because the world is always changing and

1:13:36.120 --> 1:13:38.040
<v Speaker 1>it requires you to keep up with what's going on.

1:13:38.479 --> 1:13:40.600
<v Speaker 1>But those are some of the really big changes the

1:13:40.680 --> 1:13:44.800
<v Speaker 1>backdrop that I think make it all so fascinating. We

1:13:44.880 --> 1:13:49.240
<v Speaker 1>have been speaking with Michael Mobison of Credit Swiss. Mike,

1:13:49.320 --> 1:13:51.160
<v Speaker 1>thanks for being so generous with your time. This has

1:13:51.200 --> 1:13:56.320
<v Speaker 1>been absolutely fascinating. If you enjoy this conversation, be showing

1:13:56.400 --> 1:13:58.479
<v Speaker 1>look Up an Inch or Down an Inch on Apple

1:13:58.560 --> 1:14:02.000
<v Speaker 1>iTunes and you could see any of the other one

1:14:02.120 --> 1:14:06.120
<v Speaker 1>hundred uh such episodes that we have had. UH be

1:14:06.240 --> 1:14:09.800
<v Speaker 1>sure and check out Mike's white papers, books, et cetera.

1:14:09.960 --> 1:14:13.800
<v Speaker 1>You can find that at Michael Mobison dot com. I

1:14:13.880 --> 1:14:17.680
<v Speaker 1>would be remiss if I did not thank uh the

1:14:17.760 --> 1:14:20.920
<v Speaker 1>hard work of the team who helped put this together. Uh.

1:14:20.960 --> 1:14:25.000
<v Speaker 1>Taylor Riggs is my producer, booker Charlie Bohmer, and Today

1:14:25.040 --> 1:14:30.880
<v Speaker 1>Guests recording engineer David Uh. Mike Batnick is our head

1:14:30.880 --> 1:14:36.560
<v Speaker 1>of research. We love your comments feedbacks, questions and suggestions.

1:14:37.120 --> 1:14:40.280
<v Speaker 1>Be sure and write to us at our new email address,

1:14:41.120 --> 1:14:46.760
<v Speaker 1>m IB podcast at bloomberg dot net. I'm Barry Ritults.

1:14:46.800 --> 1:14:50.439
<v Speaker 1>You've been listening to Masters in Business on Bloomberg Radio