WEBVTT - Everything You've Been Taught About How to Value a Stock Might Be Wrong

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<v Speaker 1>Hello, and welcome to another episode of the All Thoughts podcast.

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<v Speaker 1>I'm Tracy Allaway and I'm Joe Wisenthal. So, Joe, we

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<v Speaker 1>are in the midst of yet another earning season, which

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<v Speaker 1>means everyone is spending their time examining all the income

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<v Speaker 1>statements that big companies are publishing. Right. Yeah, it comes

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<v Speaker 1>four times a year, and it's one of the you know,

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<v Speaker 1>one of the most exciting times of the year, especially

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<v Speaker 1>if you're a stock investor, because it's when you know,

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<v Speaker 1>the companies reveal all of the stuff that they did

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<v Speaker 1>in the last quarter, the revenue, how much they made,

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<v Speaker 1>how much their balance sheet, highlights of the quarter, and

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<v Speaker 1>it's when you really have a chance to dig in

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<v Speaker 1>because you have a fresh snapshot of the state of

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<v Speaker 1>the company. Right. But there's a lot of work that

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<v Speaker 1>goes into estimating earnings results even before they come out, right, Like,

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<v Speaker 1>analysts will be tweaking their models ahead of results season,

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<v Speaker 1>and then they'll be tweaking them after. Everyone is sort

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<v Speaker 1>of digging into the numbers to try to determine how

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<v Speaker 1>well or how badly a company is doing. Absolutely, and

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<v Speaker 1>one of the things that I think a lot of

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<v Speaker 1>people don't get if they're not really active in markets.

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<v Speaker 1>Is that there's no such thing is objectively good or

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<v Speaker 1>bad earnings, because in markets everything is about relative to expectations.

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<v Speaker 1>So you can have a company that doubled their earnings

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<v Speaker 1>and made a billion dollars this year versus a billion

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<v Speaker 1>more than last year, but if the market was expecting

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<v Speaker 1>them to make one point two billion dollars more than

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<v Speaker 1>the stock might tumble. Conversely, you can have companies that

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<v Speaker 1>lose a ton of money, but if people were impressed

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<v Speaker 1>by some you know, their revenue growth, or people were

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<v Speaker 1>impressed that they were expected to lose more, uh, they

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<v Speaker 1>the stock might surge. And as such, it's the sort

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<v Speaker 1>of like the classic kynesie and beauty contest. You don't

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<v Speaker 1>just try to figure out the company is gonna earn,

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<v Speaker 1>but we also try to figure out what the crowd

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<v Speaker 1>thinks the company is going to earn and how the

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<v Speaker 1>actual results match up to expectations. Right, And some people

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<v Speaker 1>say that things have gotten even more complicated in recent

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<v Speaker 1>years because you have companies that sort of try to

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<v Speaker 1>talk down expectations before their results and so inevitably they

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<v Speaker 1>end up beating already low forecasts. So there's lots of

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<v Speaker 1>moving parts to this isn't there. But Joe, what if

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<v Speaker 1>I told you that digging into earnings is a useless exercise.

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<v Speaker 1>If you told me that it was a useless exercise

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<v Speaker 1>to dig in like this, I would be completely crushed

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<v Speaker 1>because a part of my job is to talk about

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<v Speaker 1>this and be One of my first jobs was doing

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<v Speaker 1>equity research for a small portfolio management company, and that's

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<v Speaker 1>what I spent hours and hours going through every one

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<v Speaker 1>of these lines. So please don't tell me now. I'm

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<v Speaker 1>sorry to get scared. Why are you? Why are you

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<v Speaker 1>hinting that maybe it's all the waste of time? Don't

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<v Speaker 1>be scared, Joe. What I mean is it might be

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<v Speaker 1>useless to dig into those earning statements in a sort

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<v Speaker 1>of traditional sense. Basically, there are some people out there

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<v Speaker 1>who think that the way we use current accounting rules

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<v Speaker 1>are the way that accounting rules have been implemented, doesn't

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<v Speaker 1>really match the realities of our modern economy or our

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<v Speaker 1>modern business environment. Okay, so let's get your I'm still

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<v Speaker 1>a sort of waiting for the build up here. You'll

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<v Speaker 1>be fine, You'll be fine. Okay, We're going to talk

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<v Speaker 1>to Baruke Love. He's professor of Accounting and Finance at

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<v Speaker 1>Stern School of Business and Fenggu Associate Professor of Accounting

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<v Speaker 1>at Sunni Buffalo. They put out a paper which was

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<v Speaker 1>fantastic on this exact subject, basically arguing that our accounting

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<v Speaker 1>standards haven't really kept up with big, big changes that

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<v Speaker 1>have overtaken the economy in recent years. So let's get

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<v Speaker 1>over to them. Buruke and Fang, welcome to the show.

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<v Speaker 1>Thank you, thank you, Thank you for having us. So

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<v Speaker 1>was that intro accurate? Is the some of your work

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<v Speaker 1>essentially that accounting methodology hasn't really adjusted to modern realities.

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<v Speaker 1>I would say the intro is very accurate. It's not

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<v Speaker 1>just that we claimed that earnings don't matter. We actually

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<v Speaker 1>prove it. Uh. In a recent article we published, we

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<v Speaker 1>show for all companies that even if you had the

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<v Speaker 1>dream forecasting machine, meaning that you could focus, you could

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<v Speaker 1>identify all the companies that we meet or beat consensus

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<v Speaker 1>analysts focused next quarter. You're not longer to make anybody.

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<v Speaker 1>You're not going to make any money from this. You

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<v Speaker 1>used to in the past, big money, but no longer.

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<v Speaker 1>And most people are not aware of the demise of

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<v Speaker 1>earnings as an indicate of company performance. Evaluated of manager's capabilities.

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<v Speaker 1>So we actually prove it both in a recent book

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<v Speaker 1>that we wrote and in in the article. And this

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<v Speaker 1>is this is really I would say earth shattering, but

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<v Speaker 1>it's effect. This is indeed earth shattering. I mean, this

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<v Speaker 1>is in fury. This blows up the premise of so

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<v Speaker 1>many of our conversations, which as we say, okay, Facebook

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<v Speaker 1>earnings are coming out, or GM earnings are coming out,

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<v Speaker 1>and they're expected to earn a dollar and a penny

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<v Speaker 1>per share, and they earn only nineties seven cents. And

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<v Speaker 1>as you say, we try so hard to get this right.

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<v Speaker 1>Let's say, maybe let's start from thinking, so, where did

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<v Speaker 1>the if it's not right, where did it come from?

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<v Speaker 1>Where did we get this idea of how we traditionally

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<v Speaker 1>talk about earnings. The centrality of earnings comes from the

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<v Speaker 1>work of Graham many years ago. He was the celebrated

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<v Speaker 1>teacher of warm Buffett, and since then earnings are the

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<v Speaker 1>center of all the models that analysts are using. Everything

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<v Speaker 1>is aimed at predicting forthcoming earnings. Managers are pestor to

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<v Speaker 1>provide some guidance for forecasting earnings. Everything revolves around earnings,

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<v Speaker 1>and the reason, of course, a reason why so many

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<v Speaker 1>so much money goes to index fund and to automated

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<v Speaker 1>investment managed funds are not doing well, and we claim

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<v Speaker 1>that the main reason why they're not doing well is

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<v Speaker 1>because their focus on earnings is completely misplaced. Right, And

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<v Speaker 1>you have, like you said earlier, if if someone built

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<v Speaker 1>the perfect earnings prediction machine, there was a time when

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<v Speaker 1>you could have made big money from that, and now

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<v Speaker 1>it doesn't seem to be the case. So what exactly

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<v Speaker 1>has happened there? What happened is that it used to

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<v Speaker 1>be that earnings really indicated performance of companies. Thirty forty

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<v Speaker 1>years ago, earnings basically indicated revenues minus real costs. Since then,

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<v Speaker 1>there was a revolution in the business models of companies

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<v Speaker 1>from tangible to intangible assets. You don't make money anymore

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<v Speaker 1>from machines and equipment and building. You make money from

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<v Speaker 1>patents and brands and information technologies and human resources. Everyone

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<v Speaker 1>knows it, everyone uses it, except for accountants that were

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<v Speaker 1>really asleep at the wheel and still are. And all

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<v Speaker 1>those huge expenses of companies in intangibles are expensed in

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<v Speaker 1>the income statement, meaning they are charged against earnings. So

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<v Speaker 1>the earnings that you get today are completely misstated. For

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<v Speaker 1>some companies, they are overstated. For other companies they are understated.

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<v Speaker 1>Just think about the Amazon in the last four or

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<v Speaker 1>five years, they missed half their consensus earnings. Nothing happened

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<v Speaker 1>to them. That's of course a marvelous companies with a

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<v Speaker 1>huge market value. Think about Tesla, incredible brand, with accumulated

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<v Speaker 1>losses of one and a half billion dollars because they

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<v Speaker 1>are forced to expense all their investments. A much smaller,

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<v Speaker 1>less known company like Kite Farmer, which works on very

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<v Speaker 1>advanced cancer research. You look at the financial reports accumulated

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<v Speaker 1>losses of six hundred million dollars. They were just a

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<v Speaker 1>week ago bought by gilly Out Sciences for twelve billion dollars.

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<v Speaker 1>I mean, the financial reports completely mistaked the picture of

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<v Speaker 1>the company, the performance of the company, the future prospects

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<v Speaker 1>of the company. And that's where we are now. And

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<v Speaker 1>that's why, that's the reasons of the failure of the

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<v Speaker 1>traditional analges of companies focusing on earnings. Again, these are

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<v Speaker 1>not just claims that we make article. We demonstrate that

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<v Speaker 1>the lass of earnings relevance over time is really driven

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<v Speaker 1>by companies that invest a lot of money intangible assets.

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<v Speaker 1>So Over time, investors eventually realize that the earnings information,

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<v Speaker 1>the profit laws, and the balance and information investors look

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<v Speaker 1>at is no longer relevant for evaluating the performance and

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<v Speaker 1>the value of these companies. So to be clear, just

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<v Speaker 1>to clarify that a little further, there was a point

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<v Speaker 1>in which that magic earnings oracle would have made you

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<v Speaker 1>a lot of money had you had it. And you

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<v Speaker 1>demonstrate in your paper that the value of that information

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<v Speaker 1>in advance has declined. Can you talk us through a

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<v Speaker 1>little bit that's sort of the quantitative evidence you show

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<v Speaker 1>that that isn't useful information anymore. Sure, Going back to

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<v Speaker 1>the late eighties and early nineties, um, the gains from

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<v Speaker 1>this dream machine of perfectly predicting future earnings would allow

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<v Speaker 1>you to earn access profit in the magnitude of twenty

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<v Speaker 1>five percent each year. This is in access of market

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<v Speaker 1>and risk adjusted returns. So those were the good days

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<v Speaker 1>of playing this earnings prediction game. Now, moving to the

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<v Speaker 1>current time, as off the end of two thousand fifteen,

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<v Speaker 1>the same process would earn you no more than two

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<v Speaker 1>percent of access return. And there are of course a

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<v Speaker 1>lot of treating strategies that can earn you even better

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<v Speaker 1>access returns at much lower cost. Before we get into

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<v Speaker 1>you know, I will obviously I want to talk about

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<v Speaker 1>what we should be looking at instead of the traditional earnings.

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<v Speaker 1>But before we get into that, it's still you know,

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<v Speaker 1>it makes me uncomfortable because even with all of the

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<v Speaker 1>changes in business models an intangible assets, it still seems

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<v Speaker 1>like an intuitive basis that the measure of a company

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<v Speaker 1>is like, okay, but did you make money or not

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<v Speaker 1>in this quarter? And how much money do you have today?

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<v Speaker 1>And how much money do you have three months from now,

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<v Speaker 1>and that ultimately, for as weird and as different as

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<v Speaker 1>business models get, profit is still the point of business.

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<v Speaker 1>It sits in a little bit uneasy with me that

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<v Speaker 1>ultimately it still wouldn't come back to just how much

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<v Speaker 1>money they made. You're right about the importance of how

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<v Speaker 1>much money you're you're making now and of course even

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<v Speaker 1>more important, how much money you'll make in the future.

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<v Speaker 1>What we claim is that earnings measured according to the

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<v Speaker 1>accounting rules today don't even reflect this. That's why, for example,

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<v Speaker 1>in our in our recent book The End of Accounting,

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<v Speaker 1>we show that if you base your analysis on cash flows,

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<v Speaker 1>you will be better off then if you'll do it

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<v Speaker 1>on earnings. So you're perfectly right. It's of course of

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<v Speaker 1>great importance how much money you make, but reported earnings

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<v Speaker 1>don't measure how much money you make by the way

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<v Speaker 1>managers know it, and that's the major reason why they

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<v Speaker 1>release all those non gap earnings which are so derided

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<v Speaker 1>by our people. Some of them are, of course a

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<v Speaker 1>little massage manipulated, but by and large this is a

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<v Speaker 1>manager will response to the inability of currently measured earnings

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<v Speaker 1>to reflect what actually happens in corporations. Right, So it

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<v Speaker 1>feels like every earning season we get a news article

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<v Speaker 1>about how reported gap figures are veering away from adjusted earnings,

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<v Speaker 1>and lots of people have problems with adjusted earnings because

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<v Speaker 1>they think they're they're vulnerable to manipulation either by managers

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<v Speaker 1>or analysts might read too much into them. But you're

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<v Speaker 1>arguing that there are more accurate representation than traditional gap accounting,

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<v Speaker 1>or that they feel a sort of gap left by gap.

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<v Speaker 1>I guess again, it's not. It's not just my argument.

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<v Speaker 1>It's the result of lots of research projects that are

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<v Speaker 1>confirmed that investors react more strongly, most forcefully to non

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<v Speaker 1>gap earnings than gap earnings. So investors find by enlarge,

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<v Speaker 1>non gap earnings is much more informative than gap earnings.

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<v Speaker 1>That's again effect. These are things that are very easy

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<v Speaker 1>to research, and these are the findings. Thing I think

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<v Speaker 1>you mentioned Amazon, or maybe we're talking about Amazon and Tesla,

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<v Speaker 1>and of course Amazon is sort of famous for people

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<v Speaker 1>discarding their earnings or even their non gap earnings that

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<v Speaker 1>you can have these quarters will they'll lose money and

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<v Speaker 1>the stock shoots up, or they'll give a guidance range

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<v Speaker 1>that's so wide is to be laughable, but it doesn't

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<v Speaker 1>really matter to people, and people keep buying. The story

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<v Speaker 1>that pundits like to tell about Amazon is that Jeff

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<v Speaker 1>Bezos has done such a good job training Wall Street

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<v Speaker 1>to not care about quarter to quarter profits that they

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<v Speaker 1>can get away with huge investments and huge losses from

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<v Speaker 1>time to time. But it sounds like what you guys

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<v Speaker 1>are saying is that the way we characterize Amazon is

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<v Speaker 1>a little too pat and that actually Wall Streets response

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<v Speaker 1>is not about some training or anything like that, but

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<v Speaker 1>essentially about investors just sort of understanding, like in any company,

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<v Speaker 1>the numbers that really matter, and that earnings aren't really it.

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<v Speaker 1>That's that's absolutely true. So what we have advocated in

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<v Speaker 1>a book as well as the article, is this notion

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<v Speaker 1>of strategic assets. What really matters to accompany success and

0:14:59.240 --> 0:15:02.960
<v Speaker 1>the competitive at UH is not just current quarters earnings

0:15:02.960 --> 0:15:06.840
<v Speaker 1>of profit. It's UH their strategic asset that give them

0:15:06.880 --> 0:15:10.640
<v Speaker 1>long term value in market competition. So for a company

0:15:10.720 --> 0:15:15.040
<v Speaker 1>like Amazon, what investment has delivered to them is the

0:15:15.120 --> 0:15:17.760
<v Speaker 1>growth of their strategic asset. If you think about their

0:15:17.800 --> 0:15:21.400
<v Speaker 1>market share, their expansion into more and more market territories,

0:15:21.920 --> 0:15:26.120
<v Speaker 1>that's the proof that they're growing their strategic assets very strongly.

0:15:26.400 --> 0:15:28.840
<v Speaker 1>And the investors certainly understand this. At the end of

0:15:28.840 --> 0:15:31.040
<v Speaker 1>the day, they're not just going to look at the

0:15:31.120 --> 0:15:34.480
<v Speaker 1>quotally profit or loss or Instead, they're going to pay

0:15:34.560 --> 0:15:38.320
<v Speaker 1>a lot of attention to amazon strategic assets. All the

0:15:38.400 --> 0:15:42.000
<v Speaker 1>assets have been investment, invested, deployed, and what kind of

0:15:42.080 --> 0:15:45.920
<v Speaker 1>value has been created by these assets. To interject the

0:15:46.000 --> 0:15:49.800
<v Speaker 1>cautionary note here, we are speaking about Amazon and Tesla,

0:15:50.240 --> 0:15:54.120
<v Speaker 1>and investors definitely understand these companies because they are led

0:15:54.120 --> 0:16:00.320
<v Speaker 1>by extremely articulate and charismatic leaders and the men search

0:16:00.560 --> 0:16:04.440
<v Speaker 1>is clear. But there are thousands of companies out there

0:16:04.720 --> 0:16:11.040
<v Speaker 1>without Jeff Bezos and other charismatic leaders that their message

0:16:11.080 --> 0:16:15.000
<v Speaker 1>is not well understood and investors don't see the truth.

0:16:15.080 --> 0:16:18.480
<v Speaker 1>They are still relying on the reported numbers, which are

0:16:18.680 --> 0:16:22.680
<v Speaker 1>misleading them. So that's why I think our message is

0:16:22.720 --> 0:16:27.080
<v Speaker 1>so relevant today. If investors knew everything, we would even

0:16:27.080 --> 0:16:31.240
<v Speaker 1>write this article now, but they are not. It's only

0:16:31.280 --> 0:16:36.440
<v Speaker 1>for a few companies with those very effective CEOs or

0:16:36.480 --> 0:16:40.080
<v Speaker 1>CFOs that can spread this message. The other thing I'm

0:16:40.120 --> 0:16:44.800
<v Speaker 1>wondering is your findings. You know about this perfect earnings

0:16:45.000 --> 0:16:47.960
<v Speaker 1>estimator and the fact that it wouldn't be much of

0:16:48.000 --> 0:16:51.000
<v Speaker 1>an edge in the market nowadays. Does that say more

0:16:51.080 --> 0:16:55.160
<v Speaker 1>about how the market is functioning than the deficiencies of

0:16:55.200 --> 0:16:59.000
<v Speaker 1>the accounting rules themselves, because one of the criticisms of

0:16:59.040 --> 0:17:03.320
<v Speaker 1>the current market is that valuations no longer matter. You know,

0:17:03.400 --> 0:17:07.840
<v Speaker 1>people aren't really investing on fundamental terms. They're just sort

0:17:07.880 --> 0:17:12.199
<v Speaker 1>of following the money and it's all momentum based. So

0:17:12.359 --> 0:17:15.240
<v Speaker 1>you're right, there a lot investing on the fundamentals or

0:17:15.359 --> 0:17:18.720
<v Speaker 1>less than a fewer and fewer people are investing on

0:17:18.800 --> 0:17:22.919
<v Speaker 1>fundamentals because it faces them. I mean, they see the

0:17:23.000 --> 0:17:27.400
<v Speaker 1>results quarter of their quotas and it's it's really not working.

0:17:28.000 --> 0:17:33.760
<v Speaker 1>What we are saying is, don't abandoned fundamental analysis. You

0:17:33.880 --> 0:17:37.199
<v Speaker 1>still have very good information out there. You're focusing on

0:17:37.320 --> 0:17:41.359
<v Speaker 1>the wrong information, but you can shift and focus on

0:17:41.400 --> 0:17:46.240
<v Speaker 1>the right information and you will be much better off. Okay, well,

0:17:46.240 --> 0:17:48.520
<v Speaker 1>you know, before we wrap up, we have to talk

0:17:48.560 --> 0:17:52.000
<v Speaker 1>about what these things are. So okay, you mentioned that,

0:17:52.119 --> 0:17:56.280
<v Speaker 1>for example, it makes sense to not he too closely

0:17:56.400 --> 0:18:00.600
<v Speaker 1>to traditional gap earnings. You also talked about the importance

0:18:00.640 --> 0:18:04.080
<v Speaker 1>of having strategic assets. But for many companies that sounds

0:18:04.119 --> 0:18:07.040
<v Speaker 1>like it would be something that you know, it's unquantitative

0:18:07.200 --> 0:18:10.880
<v Speaker 1>or something fuel based. Let's talk what are the things

0:18:10.920 --> 0:18:13.800
<v Speaker 1>in an earnings report, in anything else that we should

0:18:13.840 --> 0:18:17.399
<v Speaker 1>really be focusing on instead to start building a mental

0:18:17.480 --> 0:18:20.400
<v Speaker 1>model of what a company is worth. So I'll give

0:18:20.400 --> 0:18:23.920
<v Speaker 1>you a couple of examples. If you're talking about pharmaceutical

0:18:23.960 --> 0:18:27.600
<v Speaker 1>and biotech companies and you have a huge number of

0:18:27.640 --> 0:18:31.200
<v Speaker 1>these companies, what they earned last quarter or last year,

0:18:31.280 --> 0:18:36.200
<v Speaker 1>it's completely irrelevant to the future. What is relevant is

0:18:36.400 --> 0:18:41.879
<v Speaker 1>what's called the product pipeline, the drugs, the instruments that

0:18:41.920 --> 0:18:47.119
<v Speaker 1>they are developing. And all companies are providing very detailed

0:18:47.119 --> 0:18:50.080
<v Speaker 1>information page of the page of the page. It's not

0:18:50.240 --> 0:18:53.879
<v Speaker 1>required by accounting rules, but they are doing it on

0:18:54.000 --> 0:18:57.600
<v Speaker 1>the product pipeline. So if the company has products in

0:18:57.680 --> 0:19:02.560
<v Speaker 1>advanced stage of development, is two clinical tests, face three

0:19:02.600 --> 0:19:06.120
<v Speaker 1>clinical tests, they are close to the market, high likelihood

0:19:06.119 --> 0:19:09.640
<v Speaker 1>that new products will come out of them. This company

0:19:09.720 --> 0:19:12.760
<v Speaker 1>is at a very good stage. I would invest in

0:19:12.800 --> 0:19:15.560
<v Speaker 1>such a company. I don't care about the earnings of

0:19:15.560 --> 0:19:20.480
<v Speaker 1>such a company. Talk about my second example, Internet companies,

0:19:20.520 --> 0:19:27.080
<v Speaker 1>even insurance companies, media and entertainment. There's main strategic assets

0:19:27.160 --> 0:19:31.359
<v Speaker 1>are customers. Look at the main data. Look at how

0:19:31.440 --> 0:19:35.199
<v Speaker 1>many customers are being added every quarter. Look at the

0:19:35.359 --> 0:19:39.320
<v Speaker 1>churn rate, which most people are not aware of. Churn

0:19:39.440 --> 0:19:43.879
<v Speaker 1>rate meaning the center of customers they lose every quarter.

0:19:44.560 --> 0:19:49.200
<v Speaker 1>That's what indicates the future, not the current earnings last

0:19:49.240 --> 0:19:55.480
<v Speaker 1>earnings that they report. Basically, for every industry you have

0:19:55.720 --> 0:20:02.119
<v Speaker 1>those fundamental strategic asset that create the you. For most companies,

0:20:02.440 --> 0:20:06.000
<v Speaker 1>this information is given and the focus should be on

0:20:06.080 --> 0:20:10.320
<v Speaker 1>the performance of these assets, the potential of these assets.

0:20:10.320 --> 0:20:13.000
<v Speaker 1>Just just to play Devil's advocate, though, you talk about

0:20:13.119 --> 0:20:17.399
<v Speaker 1>companies with drugs and stage two trials, But even then,

0:20:17.560 --> 0:20:20.880
<v Speaker 1>to value that drug, don't you still have to come

0:20:20.960 --> 0:20:23.680
<v Speaker 1>up with some model of how big the addressable market

0:20:23.760 --> 0:20:26.800
<v Speaker 1>could be how much profit that drug is going to

0:20:26.880 --> 0:20:29.600
<v Speaker 1>I mean, doesn't it still just come back to that

0:20:29.680 --> 0:20:31.919
<v Speaker 1>being a tool to come up with some estimate of

0:20:32.240 --> 0:20:35.480
<v Speaker 1>future earnings. Yes, you can do it and actually think

0:20:35.560 --> 0:20:38.879
<v Speaker 1>and I developed such a model because they are they

0:20:38.920 --> 0:20:42.600
<v Speaker 1>are quite reliable data on the likelihood of drugs in

0:20:42.720 --> 0:20:45.919
<v Speaker 1>phase to get into the market, and then you have

0:20:46.119 --> 0:20:49.760
<v Speaker 1>the market size for the drug. So ultimately you can

0:20:49.880 --> 0:20:54.840
<v Speaker 1>come up with prediction of revenues from the drug. But

0:20:54.960 --> 0:20:58.359
<v Speaker 1>the focus of analysis is not trying to predict just

0:20:58.520 --> 0:21:02.359
<v Speaker 1>the revenues, but looking at the fundamentals what creates the

0:21:02.520 --> 0:21:07.800
<v Speaker 1>value in all tasks. With this new mesthology, we actually

0:21:07.800 --> 0:21:11.840
<v Speaker 1>have seen evidence showing that this different way of evaluating

0:21:12.040 --> 0:21:16.680
<v Speaker 1>from suitable companies fundamental actually produces information signals that lead

0:21:17.200 --> 0:21:20.800
<v Speaker 1>changing their market value. In other words, um, we can

0:21:20.840 --> 0:21:24.240
<v Speaker 1>actually see the change in the value of their product

0:21:24.320 --> 0:21:30.720
<v Speaker 1>pipeline before investors actually realize scenes are becoming different. Well,

0:21:30.840 --> 0:21:33.879
<v Speaker 1>I'm sure we could talk about accounting all day, but

0:21:34.000 --> 0:21:36.280
<v Speaker 1>we have to leave it there. That was baruque love

0:21:36.440 --> 0:21:39.040
<v Speaker 1>and thank Goog, Thank you so much for joining us.

0:21:39.560 --> 0:21:53.159
<v Speaker 1>Thank you, thank you so Joe, does that make you

0:21:53.200 --> 0:21:56.679
<v Speaker 1>feel better or worse? About your previous career as a

0:21:56.720 --> 0:21:59.960
<v Speaker 1>financial analyst. Well, you know, I'm no longer a finance

0:22:00.040 --> 0:22:01.920
<v Speaker 1>chill analyst, So I guess it makes me feel good

0:22:01.960 --> 0:22:05.080
<v Speaker 1>that I left that, you know, had I had. I

0:22:05.160 --> 0:22:09.520
<v Speaker 1>just stuck to trying to estimate EPs and all that stuff.

0:22:09.920 --> 0:22:13.200
<v Speaker 1>But uh no, in all seriousness, it is really interesting.

0:22:13.320 --> 0:22:15.919
<v Speaker 1>I mean, one of the things I wonder is, like,

0:22:16.320 --> 0:22:20.840
<v Speaker 1>to what extent do investors, you know, already sort of

0:22:20.920 --> 0:22:24.800
<v Speaker 1>let these other factors determined I mean, the value of companies.

0:22:24.880 --> 0:22:28.320
<v Speaker 1>It's not like all companies have the same PE ratio,

0:22:28.480 --> 0:22:32.160
<v Speaker 1>the same port forward pe ratio. To some extent, it's

0:22:32.200 --> 0:22:36.000
<v Speaker 1>pretty clear that things like network effects or an internal

0:22:36.040 --> 0:22:39.359
<v Speaker 1>company culture that allows it to produce great drugs you

0:22:39.400 --> 0:22:42.720
<v Speaker 1>would imagine, is already being reflected in a lot of

0:22:42.760 --> 0:22:45.720
<v Speaker 1>people thinking about these companies, right, And you do have

0:22:45.760 --> 0:22:48.800
<v Speaker 1>some pretty big companies out there that are highly valued

0:22:48.880 --> 0:22:55.320
<v Speaker 1>that haven't necessarily had that successful um earnings quarters. I

0:22:55.400 --> 0:22:58.439
<v Speaker 1>guess I think I think what it comes down to

0:22:58.520 --> 0:23:02.680
<v Speaker 1>for me, I think our guests they've identified a problem

0:23:02.760 --> 0:23:06.359
<v Speaker 1>which definitely exists. I think you can say the accounting rules,

0:23:06.720 --> 0:23:09.479
<v Speaker 1>for sure, are not well equipped to deal with the

0:23:09.520 --> 0:23:14.160
<v Speaker 1>realities of an economy that's increasingly about research and development

0:23:14.280 --> 0:23:18.560
<v Speaker 1>and you know, brand value and information technology as opposed

0:23:18.600 --> 0:23:22.840
<v Speaker 1>to um, you know, machinery and manufacturing. I'm not sure

0:23:23.440 --> 0:23:27.360
<v Speaker 1>about the solution, because again, it's one thing to say, oh,

0:23:27.840 --> 0:23:31.919
<v Speaker 1>investors should consider these strategic assets of a company, but

0:23:32.119 --> 0:23:34.359
<v Speaker 1>at some point you do want to see those strategic

0:23:34.400 --> 0:23:38.560
<v Speaker 1>assets converted into some sort of revenue, right, And that's

0:23:38.600 --> 0:23:41.320
<v Speaker 1>sort of like, you know, it seems like a theory

0:23:41.359 --> 0:23:44.200
<v Speaker 1>you should be able to square the circle and say, Okay,

0:23:44.320 --> 0:23:46.800
<v Speaker 1>it's great to have these strategic assets, but you know,

0:23:46.840 --> 0:23:50.119
<v Speaker 1>a strategic asset is only so good unless it produces

0:23:50.920 --> 0:23:54.520
<v Speaker 1>revenue and income. But what I think is valuable here

0:23:54.560 --> 0:23:59.359
<v Speaker 1>to me is like maybe we there's still it's like

0:23:59.400 --> 0:24:02.640
<v Speaker 1>we have so many tuitive understanding that for all companies,

0:24:02.680 --> 0:24:05.560
<v Speaker 1>whether it's an Amazon on one end, or whether it's

0:24:05.560 --> 0:24:09.040
<v Speaker 1>a more standard industrial like a Honeywell or a g

0:24:09.200 --> 0:24:12.119
<v Speaker 1>E on another end, that there's this whole spectrum of

0:24:12.160 --> 0:24:16.560
<v Speaker 1>business models, and we sort of have this intuitive understanding

0:24:16.640 --> 0:24:19.199
<v Speaker 1>that the sort of network effects or the customers are

0:24:19.200 --> 0:24:22.560
<v Speaker 1>the attention of some companies matters a lot more for others.

0:24:22.560 --> 0:24:26.640
<v Speaker 1>But maybe we still overrate the importance of a traditional

0:24:26.800 --> 0:24:31.359
<v Speaker 1>earnings company for for traditional stock, even when it's not

0:24:31.440 --> 0:24:34.760
<v Speaker 1>particularly appropriate, and that we have to sort of adjust

0:24:34.840 --> 0:24:38.360
<v Speaker 1>our dial to recognize that it's not the same thing,

0:24:38.600 --> 0:24:40.760
<v Speaker 1>looking at a sort of P n L statement for

0:24:40.800 --> 0:24:44.240
<v Speaker 1>a traditional industrial versus a P and L statement for

0:24:44.640 --> 0:24:48.400
<v Speaker 1>an Amazon or a Facebook. Yeah, I think that's right

0:24:48.640 --> 0:24:51.720
<v Speaker 1>in any case. It's clearly a complicated topic, but something

0:24:51.840 --> 0:24:54.840
<v Speaker 1>we can all keep in mind as earning season rolls on.

0:24:55.080 --> 0:24:57.359
<v Speaker 1>And I'm very excited to read their book. I have

0:24:57.440 --> 0:25:00.439
<v Speaker 1>it in front of me, The End of Account and

0:25:00.480 --> 0:25:03.560
<v Speaker 1>the Path Forward for Investors and Managers by Baruke Lev

0:25:03.680 --> 0:25:07.600
<v Speaker 1>and Fengu So thanks to them for joining us, and

0:25:07.920 --> 0:25:11.639
<v Speaker 1>maybe we'll I'll read this and I'll get some more insight.

0:25:12.160 --> 0:25:15.399
<v Speaker 1>All right, This has been another edition of the All

0:25:15.440 --> 0:25:18.320
<v Speaker 1>Thoughts Podcast. I'm Tracy Alloway. You can follow me on

0:25:18.359 --> 0:25:21.399
<v Speaker 1>Twitter at Tracy Alloway. And I'm Joe Wisenthal and you

0:25:21.440 --> 0:25:24.240
<v Speaker 1>can follow me on Twitter at The Stalwart. And I

0:25:24.359 --> 0:25:28.080
<v Speaker 1>want to thank our producer Sarah Patterson, who's on Twitter

0:25:28.200 --> 0:25:31.080
<v Speaker 1>at Sarah patt With two Teas. Thanks for listening.