WEBVTT - David Booth

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<v Speaker 1>One of the most successful money managers the last 40

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<v Speaker 1>years is David Booth. David Booth built Dimensional Fund Advisors

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<v Speaker 1>into one of the world's most successful money management companies,

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<v Speaker 1>now managing more than a trillion dollars. He's best known

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<v Speaker 1>to some people as the person who gave the gift

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<v Speaker 1>to rename the University of Chicago School of Business the

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<v Speaker 1>Booth School of Business. I had a chance to sit

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<v Speaker 1>down with David recently to talk about his new book,

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<v Speaker 1>Stay Calm, which contains his investment philosophy and his secrets

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<v Speaker 1>of life. Well, David, when you started this in 1981

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<v Speaker 1>out of a brownstone in Brooklyn, in your wildest imagination,

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<v Speaker 1>did you think this was going to be a trillion

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<v Speaker 1>dollar asset management company?

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<v Speaker 2>No, that was way beyond what we were thinking. We

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<v Speaker 2>were just trying to survive. The firm was built around

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<v Speaker 2>the idea that finance had developed into a science in

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<v Speaker 2>the 60s and 70s. And we wanted to figure out

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<v Speaker 2>how to apply the science. Because these ideas, if you

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<v Speaker 2>don't apply the ideas, they aren't very useful.

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<v Speaker 1>So your role in the beginning was the was everything.

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<v Speaker 1>You were helping to raise the money, you came up

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<v Speaker 1>with the idea. But in the end, over the last

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<v Speaker 1>40 plus years or so, your role has been to

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<v Speaker 1>be what, the CEO principally?

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<v Speaker 2>I've been CEO. Now I'm just chairman. We have two

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<v Speaker 2>co-CEOs now really running the firm day to day. So

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<v Speaker 2>I kind of bring some institutional memory and meet with

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<v Speaker 2>them regularly, but they really run it.

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<v Speaker 1>Dimensional, where did that name come from?

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<v Speaker 2>The idea that started the firm was what we called

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<v Speaker 2>a small cap fund. Back in 1981, if you look

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<v Speaker 2>at big institutional investors, they weren't holding the stocks of

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<v Speaker 2>small companies at all. And so we said, aha, we'll

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<v Speaker 2>develop a small cap fund, which back in those days,

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<v Speaker 2>there were about, say, 4,000. The smallest 3,000 is what

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<v Speaker 2>we mean by small cap. And collectively, they represent about 10%

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<v Speaker 2>of the universe, 5% to 10%. And we said, look,

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<v Speaker 2>It seems sensible if you're forming a stock portfolio, you

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<v Speaker 2>would have stocks of large companies and small. And in

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<v Speaker 2>45 years, everybody's nodded, yeah, that makes sense. Say, well,

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<v Speaker 2>you're not holding the small. I go, well, that's true too.

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<v Speaker 2>So what we'll do is we'll give you access to small.

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<v Speaker 1>So in 1981, if somebody had said, David, you have

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<v Speaker 1>a nice idea, but I'm not going to give you

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<v Speaker 1>that much of my money, but I'll give you $ 1, 000.

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<v Speaker 1>And they kept it with you since 1981. What would

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<v Speaker 1>that $ 1, 000 be worth today?

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<v Speaker 2>Well, if you didn't pay taxes, it'd be worth about

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<v Speaker 2>over $ 140, 000.

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<v Speaker 1>So it's gone up 140 times.

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<v Speaker 2>Yeah.

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<v Speaker 1>They never had to pay taxes. They kept it in.

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<v Speaker 2>Yeah, yeah.

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<v Speaker 1>It's up 140 times. Yeah.

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<v Speaker 2>Amazing. That's the magic of compounding. You know, that's one

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<v Speaker 2>of the big lessons in finance, of course, compounding. And

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<v Speaker 2>you read about it theoretically, but when it's your money,

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<v Speaker 2>you go, holy cow, that's real money.

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<v Speaker 1>What Dimensional's premise was, as I understand it, maybe it's changed,

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<v Speaker 1>is that If you buy an index of stocks and

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<v Speaker 1>particularly smaller companies, not the bigger ones, if you hold

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<v Speaker 1>that for quite some time, you're going to probably beat

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<v Speaker 1>the market averages or at least you'll do very well.

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<v Speaker 1>Is that right?

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<v Speaker 2>That's right. And actually, the name of the firm, Dimensional,

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<v Speaker 2>came up this idea that we thought of small cap

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<v Speaker 2>stocks as a separate dimension of returns.

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<v Speaker 1>So David, when people who are smaller investors want to traditionally,

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<v Speaker 1>let's say 10, 20 years ago, they wanted to invest

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<v Speaker 1>in dimensional. Could they come in if they were very small?

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<v Speaker 1>And today, if they want to come in, do they

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<v Speaker 1>come in through an ETF if they're a very small investor?

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<v Speaker 2>They would come in through the ETF. We've never developed

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<v Speaker 2>a marketing program for the small investor. We're there, but

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<v Speaker 2>we don't have toll-free telephone lines for people to call in.

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<v Speaker 1>What's the difference between a traditional index fund and a

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<v Speaker 1>dimensional fund?

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<v Speaker 2>A traditional index fund is obsessed with one thing, tracking

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<v Speaker 2>the benchmark index. At Dimensional, we say, look, flexibility has

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<v Speaker 2>economic value. So instead of slavishly trying to have zero

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<v Speaker 2>tracking error relative to an index, we use a little

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<v Speaker 2>bit of human judgment in there, particularly in trading and

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<v Speaker 2>the way we structure portfolios. So we're willing to deviate

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<v Speaker 2>a little bit from straight index tracking.

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<v Speaker 1>Now, you've written a book, and this is a book

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<v Speaker 1>called Stay Calm. And that is your investment philosophy. Stay calm.

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<v Speaker 1>You don't get nervous about where the market's going up

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<v Speaker 1>and the gyrations of the market and so forth.

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<v Speaker 2>I'm always curious, and I always have a certain level

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<v Speaker 2>of anxiety. And that's when I go back to first principles,

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<v Speaker 2>the things we learned in school. Control what you can

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<v Speaker 2>control is the first. And we can't control the markets.

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<v Speaker 2>Investing is complex and uncertain. So is life. So people

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<v Speaker 2>have gotten where they are by learning how to manage uncertainty,

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<v Speaker 2>which largely means predict what you can, but what you

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<v Speaker 2>can't predict, control. You can control that to a considerable degree.

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<v Speaker 2>For example, in investing, you can't predict the stock market.

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<v Speaker 2>You can control how much risk you take, how much

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<v Speaker 2>you have, say, in stocks versus money market funds, that

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<v Speaker 2>sort of thing.

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<v Speaker 1>So when the markets are going down and plummeting hundreds

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<v Speaker 1>of points, you don't panic and you don't get upset

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<v Speaker 1>when that happens?

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<v Speaker 2>No, you take the most recent big downturn in 2020

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<v Speaker 2>when the pandemic had just hit and markets down 30%,

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<v Speaker 2>people are stressed out. They go, what's going to happen?

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<v Speaker 2>I go, I don't know what's going to happen. Here's

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<v Speaker 2>what I believe. And people aren't just going to sit

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<v Speaker 2>there and take it. They're going to figure out how

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<v Speaker 2>to get back on track. And they're going to innovate.

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<v Speaker 2>Their firms are going to innovate. They're going to be

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<v Speaker 2>doing new and different things, you know, we probably will

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<v Speaker 2>get back on track faster than you might think, which

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<v Speaker 2>is what happened. The recession was only like one quarter long.

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<v Speaker 2>I mean, that's human ingenuity. In some sense, that's really

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<v Speaker 2>what I'm preaching now. Human ingenuity is what will bail

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<v Speaker 2>us out.

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<v Speaker 1>What is the principal mistake that the average investor makes?

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<v Speaker 2>Well, the principal mistake is they think they can predict

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<v Speaker 2>things or they think they have to try to predict

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<v Speaker 2>things in order to be successful. They have to figure

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<v Speaker 2>out which stocks to buy, when to get in the market,

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<v Speaker 2>when to get out. And the evidence is none of

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<v Speaker 2>that kind of makes sense.

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<v Speaker 1>Now, this book, Stay Calm, how long did it take

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<v Speaker 1>you to write this book?

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<v Speaker 2>It was a couple of years. All of this dealing

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<v Speaker 2>with uncertainty, how to manage uncertainty in investing, the parallels

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<v Speaker 2>to personal life was so overwhelming. So why not talk

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<v Speaker 2>about life experiences and dealing with uncertainty? And once I

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<v Speaker 2>went down that path, Then all of a sudden I

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<v Speaker 2>thought we had a message that could appeal to everybody.

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<v Speaker 2>In fact, one of the things that's been really rewarding

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<v Speaker 2>over the last few weeks as the book is starting

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<v Speaker 2>to get circulating is how many people have come up

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<v Speaker 2>to me and say, I want to give this book

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<v Speaker 2>to my kids. I think that's pretty cool.

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<v Speaker 1>Let's go through your background, how you came to be

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<v Speaker 1>the founder of Dimensional. You grew up in a farm

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<v Speaker 1>in Kansas initially?

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<v Speaker 2>Well, yeah, a farming community. My parents lived in town,

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<v Speaker 2>but my relatives were mainly farmers.

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<v Speaker 1>And what city were you in?

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<v Speaker 2>Well, it was Garnett, Kansas.

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<v Speaker 1>And you have two siblings?

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<v Speaker 2>Yeah, a brother and a sister, yeah.

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<v Speaker 1>When you and your siblings were ready to college, your

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<v Speaker 1>father moved so you'd be closer to the University of Kansas?

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<v Speaker 2>They knew they didn't have enough money to send us

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<v Speaker 2>away to college, so they came up with an elegant solution.

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<v Speaker 2>They just moved to Lawrence, which is where the University

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<v Speaker 2>of Kansas is, and we could live at home and

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<v Speaker 2>go to school. because the big cost of school in

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<v Speaker 2>those days was the cost of living.

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<v Speaker 1>Now, not that many college-age kids really want to live

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<v Speaker 1>at home, but I guess you and your siblings realized

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<v Speaker 1>if you didn't do that, you weren't going to get

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<v Speaker 1>a college education.

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<v Speaker 2>No, we felt blessed that we were able to go

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<v Speaker 2>to school at all. Okay.

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<v Speaker 1>So you went to college, University of Kansas, and what

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<v Speaker 1>did you major in, finance?

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<v Speaker 2>No, my undergraduate was economics and math. In my year

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<v Speaker 2>in graduate school at Kansas, I took a finance course,

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<v Speaker 2>and I go, wow, that's me. And like a lot

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<v Speaker 2>of kids that age, I want to be a professor.

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<v Speaker 2>My finance professor said, well, if you're serious about wanting

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<v Speaker 2>to study finance, you need to go to the University

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<v Speaker 2>of Chicago to the PhD program. So I applied and

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<v Speaker 2>that put me on my way.

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<v Speaker 1>Did you apply to the business school at University of Chicago?

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<v Speaker 2>Graduate School of Business.

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<v Speaker 1>And now that graduate school of business is called the

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<v Speaker 1>Booth School.

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<v Speaker 2>Yeah, Chicago Booth.

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<v Speaker 1>So when you went there, did you think the people

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<v Speaker 1>were smarter than you thought they were going to be

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<v Speaker 1>or not as smart as you thought they were going

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<v Speaker 1>to be?

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<v Speaker 2>I'd never met people. that many incredibly smart people in

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<v Speaker 2>my whole life. Back in those days, none of my

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<v Speaker 2>professors had gotten Nobel Prizes.

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<v Speaker 1>Now, you write in your book that there's a professor

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<v Speaker 1>named Gene Fama, who was a professor at the University

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<v Speaker 1>of Chicago, and he changed your life. Totally. Because he

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<v Speaker 1>came up with a thesis that inspired you to start Dimensional.

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<v Speaker 1>Is that fair?

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<v Speaker 2>First year in the program, first course was Fama's course.

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<v Speaker 2>And basically, he outlined how markets work. he called it

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<v Speaker 2>the efficient market hypothesis, that the market does a really

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<v Speaker 2>good job of setting prices. So what pops out are

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<v Speaker 2>fair prices so people can get a fair return if

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<v Speaker 2>they invest in the broad market.

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<v Speaker 1>Well, before he came up with this theory, the conventional

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<v Speaker 1>wisdom at that time in Wall Street was if you

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<v Speaker 1>hire really smart people that buy good stocks for you

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<v Speaker 1>and stock pickers can beat the market averages, but he

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<v Speaker 1>kind of showed that it's very difficult to beat the market.

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<v Speaker 1>Is that fair?

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<v Speaker 2>That's fair. Before 1960, people didn't really have an idea

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<v Speaker 2>of what the returns on stocks and bonds were. And

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<v Speaker 2>that changed with the development of data at the University

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<v Speaker 2>of Chicago.

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<v Speaker 1>So he showed that overall, if you go into an

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<v Speaker 1>index fund, in effect, you're going to make 9% or 10%,

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<v Speaker 1>maybe 9% overall and 10% of its smaller companies, something

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<v Speaker 1>like that?

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<v Speaker 2>Yeah, something like that. And the point is, it's not

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<v Speaker 2>only a fair return to investors, It's a fair cost

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<v Speaker 2>of capital for the companies issuing stock and bonds.

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<v Speaker 1>All right. So you ultimately were inspired by him. Did

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<v Speaker 1>you actually get to know him?

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<v Speaker 2>Yeah, I know the second year in the program, I

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<v Speaker 2>was his research assistant, which is good and bad news.

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<v Speaker 2>The good news is working side by side with him

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<v Speaker 2>was just an incredible experience. The downside was I realized

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<v Speaker 2>that wasn't what I was cut out to do. That's

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<v Speaker 2>what he was cut out to do. In fact, he

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<v Speaker 2>still works six or seven days a week doing research.

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<v Speaker 2>It's amazing.

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<v Speaker 1>You got an MBA and then you went to work

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<v Speaker 1>for Wells Fargo. Yeah.

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<v Speaker 2>So here I left, you know, Chicago and working, being

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<v Speaker 2>in the PhD program, you'd present papers to the faculty

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<v Speaker 2>and you'd sit in on their papers they were developing.

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<v Speaker 2>So I got to know the faculty really very well.

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<v Speaker 2>And then, um, went to Wells and they were trying

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<v Speaker 2>to apply the ideas. So these ideas are brand new

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<v Speaker 2>ideas are floating around. And I realized nobody's trying to

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<v Speaker 2>apply them. Well, the world's best served if Gene Fama

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<v Speaker 2>does the research and I figure out how to go

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<v Speaker 2>apply the ideas.

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<v Speaker 1>So you did that for a while, but then you

0:11:00.550 --> 0:11:03.010
<v Speaker 1>ultimately decided to leave to go to A.G. Becker. Yeah.

0:11:03.490 --> 0:11:05.850
<v Speaker 2>Well, they shut down the group I was working on.

0:11:07.290 --> 0:11:08.830
<v Speaker 2>So I wanted to join A.G.

0:11:08.870 --> 0:11:09.110
<v Speaker 1>Becker.

0:11:09.130 --> 0:11:12.310
<v Speaker 2>They were a large, at that time, pension consulting firm.

0:11:12.990 --> 0:11:15.730
<v Speaker 2>And I It was a great exposure to really learn

0:11:15.750 --> 0:11:16.630
<v Speaker 2>how the business works.

0:11:17.250 --> 0:11:19.610
<v Speaker 1>And then what propelled you to think that you should

0:11:19.670 --> 0:11:22.929
<v Speaker 1>start your own firm after working for big firms? And

0:11:23.530 --> 0:11:25.510
<v Speaker 1>did you have any money to start the firm with?

0:11:26.090 --> 0:11:27.990
<v Speaker 2>I had something I really wanted to do, which is

0:11:28.250 --> 0:11:31.069
<v Speaker 2>this idea for small stocks. One of my clients at

0:11:31.090 --> 0:11:34.230
<v Speaker 2>the time, it was AT &amp; T. At that time,

0:11:34.590 --> 0:11:37.290
<v Speaker 2>this was before the divestiture. They were the biggest pension

0:11:37.330 --> 0:11:42.370
<v Speaker 2>fund in the world. And they had $ 100 10 managers

0:11:42.429 --> 0:11:44.630
<v Speaker 2>picking stocks, and none of them were investing in the

0:11:44.670 --> 0:11:48.010
<v Speaker 2>stocks of smaller companies. So I said, if you want

0:11:48.030 --> 0:11:50.790
<v Speaker 2>to help yourself out, why don't you create a small

0:11:50.830 --> 0:11:54.290
<v Speaker 2>cap portfolio? And they did, and the idea took off.

0:11:55.030 --> 0:11:58.380
<v Speaker 1>So you started Dimensional. You were living in Brooklyn.

0:11:58.520 --> 0:11:58.699
<v Speaker 2>Yeah.

0:11:59.440 --> 0:12:01.020
<v Speaker 1>And you started in a brownstone.

0:12:01.220 --> 0:12:01.440
<v Speaker 2>Right.

0:12:02.260 --> 0:12:03.979
<v Speaker 1>So you moved the beds out, and you just were

0:12:04.020 --> 0:12:04.680
<v Speaker 1>working there.

0:12:04.980 --> 0:12:05.500
<v Speaker 2>Yeah.

0:12:05.740 --> 0:12:07.940
<v Speaker 1>Did you have anybody to capitalize the company? Were there

0:12:07.960 --> 0:12:10.429
<v Speaker 1>any venture capitalists who said, it's a good idea? I'll

0:12:10.450 --> 0:12:11.330
<v Speaker 1>give you some money to start.

0:12:11.429 --> 0:12:14.179
<v Speaker 2>We had a little bit of outside money. Schroeder Capital Management,

0:12:14.280 --> 0:12:17.760
<v Speaker 2>a UK firm, provided a little bit of money. We

0:12:17.800 --> 0:12:20.600
<v Speaker 2>only raised enough just to get through all the registrations

0:12:20.660 --> 0:12:23.380
<v Speaker 2>and find out if we had clients. Went to call

0:12:23.420 --> 0:12:26.870
<v Speaker 2>for telephone lines to run the... I thought I need

0:12:27.140 --> 0:12:31.489
<v Speaker 2>six telephone lines to do the portfolio management. They wouldn't

0:12:31.510 --> 0:12:33.209
<v Speaker 2>give me the lines because they thought I was a bookie.

0:12:33.429 --> 0:12:36.150
<v Speaker 2>Because in those days, they weren't prepared for a startup

0:12:36.210 --> 0:12:37.590
<v Speaker 2>firm in Brooklyn.

0:12:37.950 --> 0:12:41.090
<v Speaker 1>So you start this company in 1981. And with how

0:12:41.130 --> 0:12:42.209
<v Speaker 1>many people did you start it?

0:12:42.210 --> 0:12:44.070
<v Speaker 2>There were about four or five of us.

0:12:44.370 --> 0:12:47.630
<v Speaker 1>Your basic concept was that if you buy smaller stocks

0:12:47.809 --> 0:12:50.870
<v Speaker 1>in an index kind of pooled account, that you'll probably

0:12:50.890 --> 0:12:52.920
<v Speaker 1>do better than if you just pick stocks here and there.

0:12:52.960 --> 0:12:53.330
<v Speaker 1>Is that it?

0:12:53.540 --> 0:12:56.540
<v Speaker 2>Well, it was even simpler than that. You ought to

0:12:56.580 --> 0:12:59.420
<v Speaker 2>have large and small. You shouldn't just have all your

0:12:59.440 --> 0:13:01.819
<v Speaker 2>money in large. And you don't have access to small.

0:13:02.220 --> 0:13:06.010
<v Speaker 2>But this was a portfolio concept. individually, small stocks are

0:13:06.030 --> 0:13:08.910
<v Speaker 2>pretty risky. They can go to zero. But as a group,

0:13:10.100 --> 0:13:10.959
<v Speaker 2>it's pretty compelling.

0:13:10.980 --> 0:13:13.160
<v Speaker 1>All right. So you did that. And after how many

0:13:13.200 --> 0:13:16.040
<v Speaker 1>years before you realized, hey, this is a real business,

0:13:16.059 --> 0:13:17.739
<v Speaker 1>were you worried you would go out of business after

0:13:17.780 --> 0:13:18.240
<v Speaker 1>a year or two?

0:13:18.260 --> 0:13:21.300
<v Speaker 2>I was worried about that. Yeah. We had great feedback.

0:13:21.720 --> 0:13:23.900
<v Speaker 2>People loved what we were doing. But being a startup

0:13:24.000 --> 0:13:26.750
<v Speaker 2>firm with no track record, people just gave us small

0:13:26.790 --> 0:13:28.530
<v Speaker 2>amounts of money to invest.

0:13:28.630 --> 0:13:31.069
<v Speaker 1>What did your Kansas parents say about this?

0:13:31.710 --> 0:13:34.870
<v Speaker 2>I overheard my dad once telling people that I was

0:13:34.910 --> 0:13:37.830
<v Speaker 2>in high finance. They were shocked that I would leave

0:13:37.870 --> 0:13:39.709
<v Speaker 2>a good job to do a startup.

0:13:40.070 --> 0:13:42.530
<v Speaker 1>So the firm is taking off and you start in 81.

0:13:42.510 --> 0:13:44.189
<v Speaker 1>And so by the end of the 80s, is it

0:13:44.610 --> 0:13:45.309
<v Speaker 1>clear it's going to work?

0:13:45.550 --> 0:13:48.280
<v Speaker 2>The whole concern was, can we last long enough to

0:13:48.900 --> 0:13:53.000
<v Speaker 2>be profitable? Because of the money dribbling in, it wasn't

0:13:53.040 --> 0:13:53.560
<v Speaker 2>very fast.

0:13:53.679 --> 0:13:57.620
<v Speaker 1>So today, let's talk about Dimensional today. Dimensional has how

0:13:58.059 --> 0:13:59.179
<v Speaker 1>much money does it manage now?

0:13:59.200 --> 0:14:00.640
<v Speaker 2>A little over a trillion dollars.

0:14:00.660 --> 0:14:04.059
<v Speaker 1>A trillion dollars. And how many employees do you have?

0:14:04.080 --> 0:14:05.490
<v Speaker 2>About 1,700 worldwide.

0:14:05.620 --> 0:14:08.550
<v Speaker 1>Is your customer base individuals or is it institutions?

0:14:08.710 --> 0:14:11.530
<v Speaker 2>When we started, it was only large institutions, firms like

0:14:11.970 --> 0:14:15.600
<v Speaker 2>IBM and Boeing and sovereign wealth funds. Along about 1989,

0:14:15.600 --> 0:14:20.020
<v Speaker 2>I believe it was, we had a financial advisor approach us.

0:14:20.640 --> 0:14:23.620
<v Speaker 2>He wanted access to our funds. We were unusual in

0:14:23.640 --> 0:14:27.140
<v Speaker 2>that even though we were an institutional money manager, We

0:14:27.200 --> 0:14:31.520
<v Speaker 2>co-mingled people into mutual funds. We had institutionally priced portfolios

0:14:31.560 --> 0:14:36.210
<v Speaker 2>for low-cost funds. Advisors started approaching us, getting access to

0:14:36.270 --> 0:14:40.070
<v Speaker 2>our funds. We found that was really terrific.

0:14:40.390 --> 0:14:43.610
<v Speaker 1>Let's suppose I like the concept of an index and

0:14:44.290 --> 0:14:47.010
<v Speaker 1>not just picking stocks. If I buy an S &amp;

0:14:46.650 --> 0:14:50.130
<v Speaker 1>P 500 index, a so-called Vanguard S &amp; P 500 index,

0:14:51.900 --> 0:14:55.180
<v Speaker 1>Would I do better with a dimensional fund because of

0:14:55.220 --> 0:14:57.660
<v Speaker 1>the way you're doing it than a standard S &amp;

0:14:57.400 --> 0:14:58.460
<v Speaker 1>P 500 index?

0:14:58.820 --> 0:15:02.100
<v Speaker 2>Well, we hope that's the case. And there's, like all ideas,

0:15:02.140 --> 0:15:04.940
<v Speaker 2>there are periods of time when it looks really great

0:15:05.000 --> 0:15:07.800
<v Speaker 2>and other periods of time when not so good. Our

0:15:07.850 --> 0:15:10.070
<v Speaker 2>first nine years, actually, we started at a period of

0:15:10.090 --> 0:15:14.490
<v Speaker 2>time when performance wasn't so good relative to the S &amp; P. Fortunately,

0:15:15.150 --> 0:15:16.790
<v Speaker 2>the last 35 years have been terrific.

0:15:17.650 --> 0:15:19.609
<v Speaker 1>So can anybody call up and say, I want to

0:15:19.630 --> 0:15:20.890
<v Speaker 1>be an investor in your fund?

0:15:21.290 --> 0:15:24.400
<v Speaker 2>Well, yeah, we have these ETFs now that are publicly available,

0:15:24.480 --> 0:15:27.900
<v Speaker 2>and we had started applying this research, and there were

0:15:28.000 --> 0:15:32.080
<v Speaker 2>other ideas, particularly coming from Fama and French. Our capability

0:15:32.120 --> 0:15:34.750
<v Speaker 2>now is basically handling the whole stock market. We have

0:15:34.800 --> 0:15:36.870
<v Speaker 2>large company portfolios, small.

0:15:37.350 --> 0:15:40.790
<v Speaker 1>You're the current chairman, but at some point, do you

0:15:40.810 --> 0:15:43.830
<v Speaker 1>think the firm will ever go public or be sold,

0:15:43.850 --> 0:15:45.010
<v Speaker 1>or are you just going to keep it where you

0:15:45.650 --> 0:15:45.980
<v Speaker 1>have it now?

0:15:46.350 --> 0:15:48.630
<v Speaker 2>Well, I don't know. What I do believe is if

0:15:48.990 --> 0:15:51.720
<v Speaker 2>we keep our focus on doing what's really right for

0:15:51.760 --> 0:15:54.700
<v Speaker 2>clients and for our employees, we'll probably be okay over

0:15:54.720 --> 0:15:55.200
<v Speaker 2>the long haul.

0:15:55.620 --> 0:15:57.720
<v Speaker 1>You're worried about the future in terms of what will

0:15:58.000 --> 0:15:59.220
<v Speaker 1>come on, who's going to run it, or it's not

0:15:59.260 --> 0:16:00.200
<v Speaker 1>your day-to-day worry?

0:16:00.560 --> 0:16:03.660
<v Speaker 2>I think it's already been solved. We have our two co-CEOs.

0:16:04.140 --> 0:16:07.060
<v Speaker 2>They're young, 50s and 60s. In fact, I think about

0:16:07.080 --> 0:16:08.760
<v Speaker 2>this all the time now. I think the firm's running

0:16:08.800 --> 0:16:10.960
<v Speaker 2>much better now than it would have had I stayed

0:16:11.060 --> 0:16:12.230
<v Speaker 2>on being the CEO.

0:16:12.590 --> 0:16:15.290
<v Speaker 1>Now, your father was always worried that the world would

0:16:15.310 --> 0:16:17.740
<v Speaker 1>fall apart. So he always kept some money in his

0:16:17.930 --> 0:16:20.480
<v Speaker 1>safe deposit box. Right. When he passed away, you went

0:16:20.520 --> 0:16:22.560
<v Speaker 1>into a safe deposit box. And what did you find?

0:16:22.600 --> 0:16:27.660
<v Speaker 2>Found $ 15, 000, a huge fraction of their net worth. And

0:16:27.700 --> 0:16:31.820
<v Speaker 2>I realized right away, I mean, here's a couple that

0:16:32.420 --> 0:16:35.560
<v Speaker 2>grew up during the Great Depression, fought World War II,

0:16:35.860 --> 0:16:38.720
<v Speaker 2>you know, went through all these different cycles. That was

0:16:38.740 --> 0:16:42.200
<v Speaker 2>their safety net, you know, and... That's what enabled them

0:16:42.240 --> 0:16:45.700
<v Speaker 2>to stay calm. They knew that they had that 15,000.

0:16:45.700 --> 0:16:48.420
<v Speaker 1>Now, you parents did live to see your success. I mean,

0:16:48.440 --> 0:16:50.480
<v Speaker 1>they may not have understood exactly what you did, but

0:16:50.760 --> 0:16:52.750
<v Speaker 1>they realized you had been very successful, I assume.

0:16:52.970 --> 0:16:55.650
<v Speaker 2>Yeah, I was glad to see that. They got to

0:16:55.690 --> 0:16:58.350
<v Speaker 2>see a glimpse of it anyway. But part of the story,

0:16:59.010 --> 0:17:01.190
<v Speaker 2>I went back and looked at that 15,000 and said,

0:17:01.210 --> 0:17:01.489
<v Speaker 2>what if.

0:17:03.340 --> 0:17:04.859
<v Speaker 2>Dad had put it in the stock market when he

0:17:04.900 --> 0:17:07.619
<v Speaker 2>got back from the war in the end of 45.

0:17:07.619 --> 0:17:10.060
<v Speaker 2>Now we're 40 years later. What would it be worth?

0:17:10.060 --> 0:17:13.320
<v Speaker 2>$ 15, 000 if he got the market return would be worth

0:17:13.340 --> 0:17:14.040
<v Speaker 2>a million dollars.

0:17:14.480 --> 0:17:16.580
<v Speaker 1>Let me ask you about a couple of things in

0:17:16.600 --> 0:17:18.960
<v Speaker 1>your book. You'd always wanted to have a car. And

0:17:18.980 --> 0:17:20.550
<v Speaker 1>then one day you come home and there was a

0:17:20.609 --> 0:17:23.810
<v Speaker 1>nice red car, I think, in the driveway. And you

0:17:23.850 --> 0:17:26.090
<v Speaker 1>went in and you thanked your father for buying you

0:17:26.130 --> 0:17:28.710
<v Speaker 1>this car. But it turned out he hadn't intended to

0:17:28.750 --> 0:17:30.550
<v Speaker 1>give it to you. It was actually bought for your mother.

0:17:30.670 --> 0:17:33.130
<v Speaker 2>That's a great story about it. what kind of people

0:17:33.190 --> 0:17:35.510
<v Speaker 2>my parents were. They were wealthy people. They just didn't

0:17:35.530 --> 0:17:38.230
<v Speaker 2>have much money. When I got accepted in the PhD

0:17:38.250 --> 0:17:40.490
<v Speaker 2>program at Chicago, my dad said, I'll go out and

0:17:40.530 --> 0:17:42.870
<v Speaker 2>find you a car. So I come in one day

0:17:42.890 --> 0:17:47.010
<v Speaker 2>and there's this car in the driveway and I go in.

0:17:47.570 --> 0:17:49.550
<v Speaker 2>I knew what a sacrifice it would be. And that

0:17:49.590 --> 0:17:51.949
<v Speaker 2>was it. And then about 25 years later, as my

0:17:51.990 --> 0:17:55.230
<v Speaker 2>dad had a terminal case of cancer, he goes, do

0:17:55.250 --> 0:17:56.909
<v Speaker 2>you remember your first car? I said, of course I

0:17:56.950 --> 0:17:58.949
<v Speaker 2>remember my first car. He goes, well, you know, your

0:17:58.990 --> 0:18:01.649
<v Speaker 2>mom always wanted a red convertible and I bought her one.

0:18:02.190 --> 0:18:03.770
<v Speaker 2>Then you came in, you thought it was for you.

0:18:04.270 --> 0:18:06.899
<v Speaker 2>And you were so excited. Your mom just said, oh,

0:18:07.280 --> 0:18:08.160
<v Speaker 2>let's just give it to him.

0:18:08.619 --> 0:18:11.220
<v Speaker 1>Wall Street is famous for copying good ideas that other

0:18:11.240 --> 0:18:14.200
<v Speaker 1>people have. So you had a good idea. Are people

0:18:14.240 --> 0:18:15.460
<v Speaker 1>trying to copy what you do?

0:18:15.900 --> 0:18:21.030
<v Speaker 2>Yeah, all the time. And that's the lesson I learned.

0:18:21.970 --> 0:18:26.530
<v Speaker 2>Any investment approach you come up with will have periods

0:18:26.550 --> 0:18:28.270
<v Speaker 2>of time when it's really good and a period of

0:18:28.290 --> 0:18:31.189
<v Speaker 2>time when it looks awful. And during those periods when

0:18:31.210 --> 0:18:33.449
<v Speaker 2>it looks awful, That's when you really find out how

0:18:33.490 --> 0:18:34.330
<v Speaker 2>much you really believe.

0:18:34.910 --> 0:18:38.530
<v Speaker 1>Now, in every interview conducted by anybody today about the

0:18:38.550 --> 0:18:42.130
<v Speaker 1>business world, there's one question that everybody always asks. How

0:18:42.210 --> 0:18:45.230
<v Speaker 1>is artificial intelligence changing your business?

0:18:45.480 --> 0:18:48.040
<v Speaker 2>Well, it's changing it the way it's changing every business

0:18:48.060 --> 0:18:50.020
<v Speaker 2>in the sense that it's making us much more efficient.

0:18:50.680 --> 0:18:53.720
<v Speaker 2>A lot of tools are to disposal we didn't have before. Now,

0:18:53.780 --> 0:18:57.239
<v Speaker 2>sometimes the question comes about, do you think it'll help

0:18:57.840 --> 0:19:01.180
<v Speaker 2>people pick stocks? And, you know, it's the same old story,

0:19:01.200 --> 0:19:04.800
<v Speaker 2>you know. Your AI algorithm has to be better and

0:19:04.820 --> 0:19:09.520
<v Speaker 2>faster than everybody else's AI algorithm, which that seems a

0:19:09.540 --> 0:19:13.430
<v Speaker 2>bit unlikely. The whole premise of gene pharma is that

0:19:15.170 --> 0:19:20.310
<v Speaker 2>stocks already reflect all available information, and no AI algorithm

0:19:20.350 --> 0:19:21.350
<v Speaker 2>can do any better than that.

0:19:21.910 --> 0:19:24.020
<v Speaker 1>The next chapter for Dimensional, where do you see its

0:19:24.060 --> 0:19:25.060
<v Speaker 1>future next 10 years?

0:19:25.570 --> 0:19:30.330
<v Speaker 2>We're still on this growth curve, implementing new ideas. New

0:19:30.410 --> 0:19:34.139
<v Speaker 2>ideas continue to come along. Most recently, it's been ETFs

0:19:34.220 --> 0:19:39.440
<v Speaker 2>and ETF share classes. So the next generation, I think,

0:19:39.500 --> 0:19:43.950
<v Speaker 2>will be developing more and more quantitative methods to help

0:19:43.990 --> 0:19:47.150
<v Speaker 2>people in their planning, so forth. It's really important that

0:19:47.210 --> 0:19:50.220
<v Speaker 2>individual investors get good financial advice. I think that's be

0:19:51.060 --> 0:19:54.460
<v Speaker 2>more and better tools to help people get that advice.

0:19:54.820 --> 0:19:57.739
<v Speaker 1>When people become successful in the money management world, they

0:19:57.760 --> 0:19:59.900
<v Speaker 1>make a fair amount of money and they then often

0:19:59.920 --> 0:20:02.639
<v Speaker 1>become involved with philanthropy. You made a gift to the

0:20:02.700 --> 0:20:06.210
<v Speaker 1>University of Chicago in honor of the professors there who

0:20:06.490 --> 0:20:09.290
<v Speaker 1>had helped you with this concept. and they renamed the

0:20:09.330 --> 0:20:11.580
<v Speaker 1>school after you. Now, I thought you had told me

0:20:11.670 --> 0:20:13.600
<v Speaker 1>once that now when you go anywhere in the world,

0:20:13.760 --> 0:20:16.340
<v Speaker 1>people may know Dimensional, or they may not, but they

0:20:16.359 --> 0:20:17.380
<v Speaker 1>certainly know Booth. Yeah.

0:20:18.520 --> 0:20:20.020
<v Speaker 2>That is kind of funny. I went to talk to

0:20:20.040 --> 0:20:22.940
<v Speaker 2>the dean. I said, look, it's unbelievable how much my

0:20:22.980 --> 0:20:26.670
<v Speaker 2>experience at Chicago helped me and helped me be where

0:20:26.730 --> 0:20:29.629
<v Speaker 2>I am today. And so I want to make a

0:20:29.690 --> 0:20:32.230
<v Speaker 2>gift that's a big part of what I have, not

0:20:32.710 --> 0:20:37.169
<v Speaker 2>just contributing to the annual fund or something. And they go,

0:20:37.760 --> 0:20:40.520
<v Speaker 2>you know, we've been thinking about naming the school and

0:20:40.820 --> 0:20:43.550
<v Speaker 2>we weren't asking for as much as you're willing to give.

0:20:43.910 --> 0:20:45.050
<v Speaker 2>So we'll name the school after you.

0:20:45.470 --> 0:20:47.610
<v Speaker 1>So today, I think when you go around the world,

0:20:47.850 --> 0:20:50.889
<v Speaker 1>when people meet you, do they say, oh, you're the

0:20:50.950 --> 0:20:54.250
<v Speaker 1>founder of Dimensional or you're the head of Booth School

0:20:54.290 --> 0:20:55.590
<v Speaker 1>of Business at University of Chicago?

0:20:56.290 --> 0:20:59.409
<v Speaker 2>Oh, it's more likely to say the Booth School. I'm

0:20:59.430 --> 0:21:02.570
<v Speaker 2>really proud to be connected with University of Chicago, which

0:21:02.590 --> 0:21:05.609
<v Speaker 2>is more than just the business school, but it's This whole,

0:21:06.270 --> 0:21:08.090
<v Speaker 2>the way they operate the school and the idea of

0:21:08.170 --> 0:21:11.790
<v Speaker 2>no safe places is still, I think, the best place

0:21:11.810 --> 0:21:12.830
<v Speaker 2>for intellectual thought.

0:21:13.150 --> 0:21:15.550
<v Speaker 1>So you've been involved in a number of philanthropies. Let

0:21:15.570 --> 0:21:18.280
<v Speaker 1>me mention one other one. The University of Kansas.

0:21:18.490 --> 0:21:19.260
<v Speaker 2>Yes.

0:21:19.440 --> 0:21:22.340
<v Speaker 1>You were a Kansas fan and you gave them some

0:21:22.359 --> 0:21:24.200
<v Speaker 1>money to fix up their football stadium and they named

0:21:24.240 --> 0:21:24.639
<v Speaker 1>it after you.

0:21:24.820 --> 0:21:25.600
<v Speaker 2>Right, right.

0:21:26.720 --> 0:21:28.060
<v Speaker 1>And so what does it feel to go to a

0:21:28.080 --> 0:21:30.000
<v Speaker 1>stadium when the stadium is named after you?

0:21:30.100 --> 0:21:33.979
<v Speaker 2>No, it's really a thrill. You know, I realized early on,

0:21:34.020 --> 0:21:36.840
<v Speaker 2>even though I'd been successful, I mean, I don't have

0:21:36.880 --> 0:21:40.560
<v Speaker 2>enough money to cure cancer, but I've been able to

0:21:41.020 --> 0:21:45.010
<v Speaker 2>have an impact, I think, in two different universities, Chicago

0:21:45.050 --> 0:21:48.310
<v Speaker 2>and the business school and the University of Kansas with

0:21:48.350 --> 0:21:49.330
<v Speaker 2>their athletic program.

0:21:49.369 --> 0:21:51.229
<v Speaker 1>And when you go to the University of Kansas football

0:21:51.250 --> 0:21:53.340
<v Speaker 1>or basketball games, you get a standing ovation when you

0:21:53.380 --> 0:21:53.700
<v Speaker 1>walk in.

0:21:54.340 --> 0:21:57.679
<v Speaker 2>I do get a lot of acclaim. And when I

0:21:57.720 --> 0:22:00.639
<v Speaker 2>do that, I most often really think back to my parents.

0:22:00.859 --> 0:22:02.960
<v Speaker 2>What would it have been like had they been able

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<v Speaker 2>to see this?

0:22:04.119 --> 0:22:06.330
<v Speaker 1>The biggest challenge that people have who make a lot

0:22:06.369 --> 0:22:08.129
<v Speaker 1>of money, or not the biggest, but Ed, is how

0:22:08.150 --> 0:22:09.889
<v Speaker 1>do you not spoil your children when you have so

0:22:09.930 --> 0:22:13.030
<v Speaker 1>much money? What have you done to keep your kids'

0:22:13.890 --> 0:22:14.490
<v Speaker 1>feet on the ground?

0:22:14.869 --> 0:22:16.970
<v Speaker 2>We set up trust for them early on, but I

0:22:16.970 --> 0:22:19.740
<v Speaker 2>never told them they had those until they turned 21

0:22:19.740 --> 0:22:21.560
<v Speaker 2>and I had to tell them. This is what I'm

0:22:21.580 --> 0:22:23.359
<v Speaker 2>giving you. If you want to do for your kids

0:22:23.420 --> 0:22:27.520
<v Speaker 2>what I've done for you, then you'll guard this money carefully.

0:22:28.520 --> 0:22:31.620
<v Speaker 2>And instead of being profligate the way they spent, they

0:22:31.880 --> 0:22:33.960
<v Speaker 2>ended up being too frugal. So eventually, I had to

0:22:34.000 --> 0:22:38.780
<v Speaker 2>pull them aside. Look, you can spend some money. It's OK.

0:22:39.080 --> 0:22:41.459
<v Speaker 2>You ought to buy a nice house, for example.

0:22:41.760 --> 0:22:44.440
<v Speaker 1>So when you look back on your career, what are

0:22:44.460 --> 0:22:45.219
<v Speaker 1>you most proud of?

0:22:45.619 --> 0:22:48.120
<v Speaker 2>Been able to accomplish a lot, doing things the right way.

0:22:48.590 --> 0:22:51.399
<v Speaker 2>Never had to compromise, which is why We're still a

0:22:51.410 --> 0:22:54.020
<v Speaker 2>lot smaller than some of the giants. I mean, our

0:22:54.060 --> 0:22:56.440
<v Speaker 2>goal was never to be the biggest money management firm.

0:22:56.820 --> 0:22:59.340
<v Speaker 2>It's in some sense is to be the coolest. I mean,

0:22:59.859 --> 0:23:02.420
<v Speaker 2>what we think is the best. I'm proud to be

0:23:02.460 --> 0:23:05.460
<v Speaker 2>able to be associated with all these great minds and

0:23:05.480 --> 0:23:07.340
<v Speaker 2>that they wanted to stay connected to us.

0:23:07.820 --> 0:23:10.900
<v Speaker 1>As you look back on what Dimensional has become, what

0:23:10.920 --> 0:23:12.940
<v Speaker 1>would you want most people who are going to watch

0:23:12.980 --> 0:23:15.710
<v Speaker 1>this interview to know about Dimensional that they might not

0:23:15.790 --> 0:23:16.750
<v Speaker 1>otherwise already know?

0:23:18.050 --> 0:23:20.310
<v Speaker 2>Feel really trust in the firm. I mean, I think

0:23:20.830 --> 0:23:25.889
<v Speaker 2>I tell our employees that providing investment solutions is our

0:23:25.930 --> 0:23:29.340
<v Speaker 2>business and trust is our product. So that's what I

0:23:29.380 --> 0:23:32.520
<v Speaker 2>hope people would think. I think that's a firm we

0:23:32.540 --> 0:23:33.000
<v Speaker 2>can trust.

0:23:34.760 --> 0:23:37.239
<v Speaker 1>Thanks for listening. To hear more of my interviews, you

0:23:37.280 --> 0:23:41.440
<v Speaker 1>can subscribe and download my podcast on Spotify, Apple, or

0:23:41.460 --> 0:23:42.180
<v Speaker 1>wherever you listen.