WEBVTT - 36: How A Quant Saw Huge Changes That Took Place on Wall Street

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Joe Wisenthal, Managing editor at Bloomberg Markets, and I'm

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<v Speaker 1>Tracy Alloway, Executive editor at Bloomberg Markets. So, Tracy, you

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<v Speaker 1>know what's something really fun about having a podcast? Okay,

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<v Speaker 1>tell me what that I can read a book or

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<v Speaker 1>read an article and then two days later say, hey,

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<v Speaker 1>we should have the author of that in that article

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<v Speaker 1>or book on to discuss that, and we can do that.

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<v Speaker 1>I think that's a really cool thing. Is this podcast

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<v Speaker 1>going to become like Joe's book Club? It's basically going

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<v Speaker 1>to become Yeah, basically it's gonna be just here's what

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<v Speaker 1>Joe read the week before and wants to talk more about.

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<v Speaker 1>You know, but I, well, I can live. Yeah, it

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<v Speaker 1>won't be that bad. I read good stuff. But uh so,

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<v Speaker 1>I recently had the chance to read the book My

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<v Speaker 1>Life as a quant by Emmanuel Derman, who was a

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<v Speaker 1>physic assist theoretical physicist who eventually joined Wall Street during

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<v Speaker 1>the quantitative revolution and sort of was at all you know,

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<v Speaker 1>all these sort of there's so much talk about the

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<v Speaker 1>equations and models that run finance these days, and he

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<v Speaker 1>was at the ground floor of how that all got

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<v Speaker 1>built up. Oh well, that's exciting. We've talked plenty about

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<v Speaker 1>mathematical models and their role in finance on this podcast before,

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<v Speaker 1>so exactly so, why not? Exactly so? Why not talked

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<v Speaker 1>to one of the very original practitioners of it. And

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<v Speaker 1>we have Emmanuel here in studio, So um, I say,

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<v Speaker 1>let's get started. Let's do it. Emmanuel, thanks for joining us,

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<v Speaker 1>my pleasure. I'm really glad to be here. So I

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<v Speaker 1>want to start with something in your book. One of

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<v Speaker 1>the things that really struck me was you pointed out

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<v Speaker 1>how the explosion of exotic equity derivatives was very much

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<v Speaker 1>tied to the globalization of fine nand after the Cold

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<v Speaker 1>War ended. And there's really seemed like a poignant thing

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<v Speaker 1>to read right now after the Brexit vote, when it

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<v Speaker 1>feels like the world is arguably deglobalizing a little bit.

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<v Speaker 1>Finance seems to be in retreat. But explain to us

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<v Speaker 1>the connection there, because I thought that that was something

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<v Speaker 1>that I had never thought of until I read your book. Yeah,

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<v Speaker 1>that's very interesting. It's funny. Nobody's ever mentioned that to

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<v Speaker 1>me about my book before I joined them. Equity derivatives

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<v Speaker 1>at Goldman. I've been in fixed income. I joined Equit

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<v Speaker 1>Derivatives in early and I was in charge of the

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<v Speaker 1>quantitative Strategies group and we basically supported the options disc

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<v Speaker 1>And there was this flowering of interest in exotic options

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<v Speaker 1>because and it was because of globalization. Essentially, once the

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<v Speaker 1>Berlin Wall came down, people wanted to invest in foreign

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<v Speaker 1>in foreign stock markets. They didn't want to buy individual stocks,

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<v Speaker 1>so they used options, which was much simpler. There were

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<v Speaker 1>indicas developed all over the world, from the neck to

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<v Speaker 1>the keck to the decks, and everybody went to the

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<v Speaker 1>part of it. And there was also this fashion in

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<v Speaker 1>finance forum. Well it's still going on for sort of

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<v Speaker 1>not just buying your own country, not just buying the

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<v Speaker 1>stock of your own company. Canadian actually, Canadian pension funds

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<v Speaker 1>used to come to US because Canadian pension funds weren't

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<v Speaker 1>allowed to buy more than a small amount of foreign stock,

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<v Speaker 1>and so they would do their exposure through derivatives. Yes,

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<v Speaker 1>so explain that a little bit more. I think people

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<v Speaker 1>understand what essentially an option is, but explain, well, why

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<v Speaker 1>are they called exotic options and why do they have

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<v Speaker 1>an important role in giving people this international exposure Okay,

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<v Speaker 1>I'm glad you're asking that. No nobody have asked it before.

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<v Speaker 1>The Well, an option is the right, but not the obligation,

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<v Speaker 1>to buy something for a certain price in the future. So,

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<v Speaker 1>for example, you might have have the right to buy

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<v Speaker 1>IBM a ar from today at a hundred dollars or

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<v Speaker 1>whatever it is, and if IBM s trading above a

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<v Speaker 1>hundred dollars at that point, you can buy it for

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<v Speaker 1>a hundred dollars, sell it for a hundred and ten

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<v Speaker 1>if it's trading on hundred and ten, and make ten bucks.

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<v Speaker 1>And that's what people call vanilla standard call, And there's

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<v Speaker 1>a put similarly, but with exotic options. They allowed you

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<v Speaker 1>to get a much more fine tuned exposure to different things. So,

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<v Speaker 1>for example, the first thing I worked on, which was

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<v Speaker 1>kind of famous, not not me individally, but a Goldman,

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<v Speaker 1>was something called the Nike U the Nike put options,

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<v Speaker 1>where Goldman issued puts on the Nike and the nick

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<v Speaker 1>was trading at I don't remember it was that it's

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<v Speaker 1>all time high of like twenty nine thousand or something

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<v Speaker 1>like that. And there are a lot of people who

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<v Speaker 1>were skeptical about the future of Japan. Rightly as it

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<v Speaker 1>turns out and Goldman sold puts on the Nike. But

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<v Speaker 1>the reason they were exotic was people wanted a bet

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<v Speaker 1>than the Nike going down, but they didn't want to

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<v Speaker 1>face currency risk. And normally, if you bought to put

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<v Speaker 1>on the Nike, the NICK might go down, but the

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<v Speaker 1>end might strengthen, and so you wouldn't make any money

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<v Speaker 1>even if the NICK went down. And what was exotic

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<v Speaker 1>about these so called quanto options were that you locked

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<v Speaker 1>in a guaranteed exchange rate. It didn't matter what the

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<v Speaker 1>yen dollar did. When you exercise your option, you got

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<v Speaker 1>paid in dollars the amount that the unique dropped in percent.

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<v Speaker 1>It was a put am I making sense. So that

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<v Speaker 1>was exotic because so in other words, it's not just

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<v Speaker 1>a planet, it's not a plane embedded in it. Are

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<v Speaker 1>more scenarios and more hedges, yes, or actually less in

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<v Speaker 1>a sense. You if you bought an ordery put on

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<v Speaker 1>the Nick, you would be exposed to both the yen

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<v Speaker 1>dollar and to the Nike, and this way you remove

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<v Speaker 1>the end dollar. So people would do this kind of stuff,

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<v Speaker 1>or people would buy knockout options, which were very popular,

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<v Speaker 1>which is an option that gives you money if it's

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<v Speaker 1>called gives you money if the stock rises, but gets

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<v Speaker 1>knocked out if the stock drops too low, if the

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<v Speaker 1>stock drops too high. All of these ways were basically

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<v Speaker 1>ways of making speculative bets. By putting up less money

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<v Speaker 1>than you would for vanial option, you were betting on

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<v Speaker 1>a smaller range of probabilities than just what was what

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<v Speaker 1>was reflected in an ordinary option. And Emmanuel, one thing

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<v Speaker 1>I always wonder about when it comes to these sorts

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<v Speaker 1>of exotic options and instruments is you're allowing me in

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<v Speaker 1>investor to sort of fine tune their risk. But how

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<v Speaker 1>do the banks that are actually offering these kind of products,

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<v Speaker 1>how did they manage their risk? Because things like knockout

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<v Speaker 1>options can be you know, um kind of painful for

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<v Speaker 1>the issuer, right, yes, So I mean that that was

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<v Speaker 1>my job exactly. We we Golden for example, issued these

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<v Speaker 1>exotic options, but if you sold them to somebody, you

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<v Speaker 1>didn't want to suffer when they made money. So you

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<v Speaker 1>had to head yourself. And you couldn't just buy an

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<v Speaker 1>exotic option from one person and sell it to another,

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<v Speaker 1>So you had to deconstructed and what black shoals and

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<v Speaker 1>all the extensions of option pricing do is tell you

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<v Speaker 1>essentially how to synthesize an option or an exotic option

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<v Speaker 1>from the underlying which is the currency and the and

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<v Speaker 1>the nique itself. Am I making sense? I'm not sure? No? Absolutely, Okay.

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<v Speaker 1>So so the models we worked on, which I did

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<v Speaker 1>for ten years, told you how to dynamically every day

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<v Speaker 1>trade the end dollar and every day trade the nika

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<v Speaker 1>in order to replicate what you were selling to somebody else.

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<v Speaker 1>You were selling them a package and now you had

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<v Speaker 1>created for yourself so that when they wont you wouldn't lose. Yeah.

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<v Speaker 1>I love the way in your book you essentially described

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<v Speaker 1>it as you're buying raw material, some combination of equity, cash,

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<v Speaker 1>the end, and then you're repackaging it and basically selling

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<v Speaker 1>it as a mark up like any other manufacturer done. Honestly,

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<v Speaker 1>that's what it is. You're you're a middleman, you're a

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<v Speaker 1>market maker, You're you're a wholesaler. You're buying complex stuff

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<v Speaker 1>that people want to sell, and you're decomposing it into

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<v Speaker 1>its constituents, or you're selling people complex stuff and making

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<v Speaker 1>it out of out of simple constituents. So it's really

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<v Speaker 1>I think, I say in my book, it's a bit

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<v Speaker 1>like fruit salad. If you want to know what you

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<v Speaker 1>should charge for fruit salad, you have to know the

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<v Speaker 1>cost of canning, the price of pears, apples, peaches, etcetera.

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<v Speaker 1>And then you you had a spread for your risk.

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<v Speaker 1>Because the models are really a little bit shaky. So

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<v Speaker 1>let's actually let's go back. Tell you you mentioned the

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<v Speaker 1>black skulls method, but tell us about your beginning on

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<v Speaker 1>Wall Street where quantitative finance was, and when you joined,

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<v Speaker 1>and then what you worked on in your earlier years.

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<v Speaker 1>You know, I came to Goldman, I've been a physicist

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<v Speaker 1>before that, and then I worked for five years of

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<v Speaker 1>the labs, where I already learned a lot of software engineering,

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<v Speaker 1>which was very useful, and I joined Goldman in and

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<v Speaker 1>the hot thing in those days interest rates were coming

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<v Speaker 1>down from the high of seventy nine. We've lived through

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<v Speaker 1>a massive bull market in bonds right now. And I

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<v Speaker 1>worked on black shoals explained how to price options on stock.

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<v Speaker 1>But now people were interested in buying options on bonds

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<v Speaker 1>because as interest rates came down, people wanted to speculate

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<v Speaker 1>on them going up again or going down again, and

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<v Speaker 1>so there was a big market and options on treasury bonds,

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<v Speaker 1>And the first thing I did was work with Fisher

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<v Speaker 1>Black and a colleague of mine, Bill Toy, on trying

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<v Speaker 1>to extend Black shoals into seeing yield curve things bonds

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<v Speaker 1>and bonds that paid coupons rather than stocks. And bonds

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<v Speaker 1>are very different from stocks because stocks have no termination date,

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<v Speaker 1>but bonds have a finite life, and and you really

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<v Speaker 1>need a totally different model, And I worked on something

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<v Speaker 1>called b d T everybody called it Black Dermon Toy,

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<v Speaker 1>which was one of the early models I did. That.

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<v Speaker 1>The world's gotten much more complicated since then. People make

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<v Speaker 1>much more elaborate models. So the way you describe the

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<v Speaker 1>eighties and the sort of explosion in exotic options, it

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<v Speaker 1>almost sounds like a sort of industrial revolution type thing

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<v Speaker 1>for the financial industry. Suddenly you have this big evolution

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<v Speaker 1>happening in products in ways to manage risk, and it

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<v Speaker 1>kind of leads to, um, I guess, more revenue and

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<v Speaker 1>growth of the financial industry as well. Yes, it was everybody.

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<v Speaker 1>It was a globalization. Um, it was the ability to

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<v Speaker 1>trade farm markets suddenly. Um it was Actually I wasn't

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<v Speaker 1>academic before. It was actually very excite. Everybody was waking

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<v Speaker 1>up every day to new products coming out and trying

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<v Speaker 1>to or your bank wanted to issue new products, and

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<v Speaker 1>you were trying to figure out how to value them

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<v Speaker 1>and hedge them because they want to eliminate as much

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<v Speaker 1>risk for themselves as possible. And so there was a

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<v Speaker 1>there was a Yeah, there was a literal sort of

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<v Speaker 1>efflorescence of papers on exotic options and how to hedge

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<v Speaker 1>volatility and the invention I worked on variant swaps, which

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<v Speaker 1>are ways of trading volatility rather than stocks. So how

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<v Speaker 1>did you feel about actually leaving physics and academia and

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<v Speaker 1>going to Wall Street because I imagine it must have

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<v Speaker 1>been quite a different work environment, right, Yes, I was.

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<v Speaker 1>I was very ashamed. You know, people who in physics,

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<v Speaker 1>and even I have colleagues today who are in physics,

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<v Speaker 1>they go into I wrote about this in my book.

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<v Speaker 1>They're going into physics a little bit like um with

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<v Speaker 1>a religious sort of fervor, thinking they're getting to discover

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<v Speaker 1>something fundamental, or try to discover something fundamental, and Um,

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<v Speaker 1>everybody looks down on you if you start to become practical,

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<v Speaker 1>if you start to go out to make a living.

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<v Speaker 1>We all despised people who did that, and eventually I

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<v Speaker 1>did that too. Yeah. I think one of the little

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<v Speaker 1>anecdotes in your book was about having some friend who

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<v Speaker 1>who went to work on traffic patterns in the city

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<v Speaker 1>and feeling sorry for him. Er. Yeah. Yeah. Even though

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<v Speaker 1>it sounds like interesting stuff, it is. One of the

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<v Speaker 1>lessons I've learned is that is that everything is interesting.

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<v Speaker 1>It's sort of like to see the world in a

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<v Speaker 1>grain of sand. If you look hard enough, then a

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<v Speaker 1>lot of things become interesting. But physics felt a bit

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<v Speaker 1>like a religion, and people look down on you when

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<v Speaker 1>you sort of left the monastery, and I felt that

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<v Speaker 1>for a while. I spent five years at Bell Labs,

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<v Speaker 1>which was interesting, but but it was my first experience

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<v Speaker 1>of working in a corporation and I sort of hated it.

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<v Speaker 1>And then when I came to gold to Wall Street

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<v Speaker 1>into Goldman, I actually loved it because they kind of

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<v Speaker 1>took an academic interest in this stuff, and so you

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<v Speaker 1>woke up every morning working on something interesting. But at

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<v Speaker 1>the same time there were people who really wanted it. Yeah. Actually,

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<v Speaker 1>I am one thing I still didn't quite understand. So

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<v Speaker 1>while you were working for Goldman, you also published papers

0:12:05.320 --> 0:12:09.680
<v Speaker 1>regularly and sort of publicized your findings how does that work?

0:12:09.720 --> 0:12:13.000
<v Speaker 1>The tension of wanting to have a model that allows

0:12:13.160 --> 0:12:17.760
<v Speaker 1>Goldman to profit while also wanting to do research that

0:12:18.040 --> 0:12:19.760
<v Speaker 1>the public can know about and you can have your

0:12:19.840 --> 0:12:23.079
<v Speaker 1>name attached to. Yeah, that's that's some I think that's

0:12:23.080 --> 0:12:25.880
<v Speaker 1>pretty much vanished. People on Wall Street, especially with Sabain's

0:12:25.920 --> 0:12:29.440
<v Speaker 1>Oxley passing ten or fifteen years ago, they they don't

0:12:29.440 --> 0:12:31.679
<v Speaker 1>publish much research anymore. But I grew up in an

0:12:31.679 --> 0:12:36.920
<v Speaker 1>era where people developed new things and unless somebody really

0:12:36.920 --> 0:12:39.720
<v Speaker 1>insisted that they were incredibly proprietary, like now, for example,

0:12:39.760 --> 0:12:43.760
<v Speaker 1>algorithmic trading, people people won't published papers on. But the

0:12:43.760 --> 0:12:46.880
<v Speaker 1>options business was by and large a sales business. You know,

0:12:47.080 --> 0:12:50.080
<v Speaker 1>you were making money not so much from speculating in volatility,

0:12:50.120 --> 0:12:54.280
<v Speaker 1>but from providing people services and and the more you

0:12:54.360 --> 0:12:56.920
<v Speaker 1>educated your clients, the better they understood what you were

0:12:56.920 --> 0:12:59.720
<v Speaker 1>trying to do. So it was a bit of a struggle,

0:12:59.760 --> 0:13:02.720
<v Speaker 1>but I worked for Fisher Black and I pushed quite hard.

0:13:02.760 --> 0:13:05.800
<v Speaker 1>We had a culture where where unless somebody it's sort out,

0:13:05.840 --> 0:13:08.560
<v Speaker 1>where you could never publish. And then it became for

0:13:08.640 --> 0:13:10.920
<v Speaker 1>a few years like they had to say you can't publish,

0:13:11.040 --> 0:13:14.480
<v Speaker 1>rather than you can publish. Did you ever get pushed

0:13:14.480 --> 0:13:19.360
<v Speaker 1>back from your employers, Goldman or someone else about I

0:13:19.360 --> 0:13:22.559
<v Speaker 1>guess the real world application of some of the stuff

0:13:22.559 --> 0:13:25.160
<v Speaker 1>you're doing, or its ability to generate money. Like if

0:13:25.160 --> 0:13:27.320
<v Speaker 1>you were working on a project and they couldn't exactly

0:13:27.360 --> 0:13:29.960
<v Speaker 1>see the commercial interest in it, would they ask you

0:13:30.000 --> 0:13:34.280
<v Speaker 1>to stop? Yeah, I mean, you know, I published a

0:13:34.280 --> 0:13:36.520
<v Speaker 1>lot of papers and I like doing that, and I

0:13:36.559 --> 0:13:38.640
<v Speaker 1>had a big group of people that did that, and

0:13:38.640 --> 0:13:40.800
<v Speaker 1>and sometimes actually contact me, and they said they didn't

0:13:40.840 --> 0:13:43.800
<v Speaker 1>realize what a rare environment it was, because most people

0:13:43.800 --> 0:13:46.319
<v Speaker 1>weren't allowed to do that. But we did that. But

0:13:46.360 --> 0:13:50.280
<v Speaker 1>at the same time, our real job was building risk

0:13:50.320 --> 0:13:53.800
<v Speaker 1>management systems for the people that traded equity derivatives, and

0:13:53.880 --> 0:13:56.080
<v Speaker 1>so I would say we sort of earned our keep

0:13:56.120 --> 0:13:59.360
<v Speaker 1>by building software that embedded these models and that let

0:13:59.360 --> 0:14:02.400
<v Speaker 1>them manage that positions. And at the same time we

0:14:02.400 --> 0:14:05.120
<v Speaker 1>had to build new models, and they moral less agreed

0:14:05.160 --> 0:14:07.560
<v Speaker 1>to let us publish, so they sometimes didn't like it.

0:14:08.600 --> 0:14:11.760
<v Speaker 1>One of the things that I found that maybe everybody

0:14:11.840 --> 0:14:14.240
<v Speaker 1>knew this before me, but that I did not know

0:14:14.360 --> 0:14:16.839
<v Speaker 1>until I read it in your book, was that the

0:14:18.000 --> 0:14:22.640
<v Speaker 1>seven stock market crash caused a permanent change to the

0:14:22.680 --> 0:14:26.760
<v Speaker 1>financial market landscape in terms of how options before that

0:14:26.800 --> 0:14:29.720
<v Speaker 1>crashed price in afterwards, and that had permanently changed the

0:14:29.720 --> 0:14:32.680
<v Speaker 1>way people value things. Can you explain what happened? Yes,

0:14:32.760 --> 0:14:35.440
<v Speaker 1>I can, um, and I'll make you writing a textbook.

0:14:35.600 --> 0:14:38.400
<v Speaker 1>I've just finished the textbook on that right now. But

0:14:38.400 --> 0:14:42.360
<v Speaker 1>but what happened in before seven? People pretty much used

0:14:42.400 --> 0:14:45.080
<v Speaker 1>the Black Sholes model to price options. Is it too

0:14:45.080 --> 0:14:48.640
<v Speaker 1>technical to talk about different strikes? Okay, with different strikes,

0:14:48.960 --> 0:14:50.800
<v Speaker 1>and they still use the same model and the tribute

0:14:50.800 --> 0:14:53.720
<v Speaker 1>to the same risk to the stock that lay underneath

0:14:53.800 --> 0:14:58.320
<v Speaker 1>the option. But after seven, when the market dropped in October,

0:14:58.360 --> 0:15:01.280
<v Speaker 1>in one day, all of a sudden, all hell broke loose,

0:15:01.320 --> 0:15:04.360
<v Speaker 1>and from then on everybody being a bit anthropomorphic, but

0:15:04.400 --> 0:15:08.840
<v Speaker 1>everybody understood that markets tend to crash down and glide up,

0:15:09.040 --> 0:15:10.800
<v Speaker 1>which is kind of what's been happening here too. You

0:15:10.840 --> 0:15:13.480
<v Speaker 1>get a big move down, but you get slow moves up.

0:15:13.880 --> 0:15:16.040
<v Speaker 1>And so if the world is more likely to move

0:15:16.080 --> 0:15:18.880
<v Speaker 1>down dramatically but go up slowly, you ought to charge

0:15:18.880 --> 0:15:21.000
<v Speaker 1>more money for a put which will make money when

0:15:21.040 --> 0:15:24.840
<v Speaker 1>the market drops. And everybody immediately did that, and it's

0:15:24.840 --> 0:15:27.720
<v Speaker 1>been like that ever since. It amazes me that The

0:15:27.720 --> 0:15:30.520
<v Speaker 1>idea that markets don't crash up and only crash down

0:15:30.640 --> 0:15:34.160
<v Speaker 1>was something that wasn't reflected in the market until seven.

0:15:34.200 --> 0:15:36.200
<v Speaker 1>I mean we had market we had stock market crashes

0:15:36.240 --> 0:15:38.840
<v Speaker 1>before then. Yeah, I guess there was no options market

0:15:38.880 --> 0:15:43.240
<v Speaker 1>in in nine. And the options market didn't really get

0:15:43.280 --> 0:15:47.040
<v Speaker 1>big until Black Black Controls published their paper in seventy three.

0:15:47.440 --> 0:15:50.040
<v Speaker 1>And yeah, there was a fourteen year period where where

0:15:50.120 --> 0:15:53.040
<v Speaker 1>people didn't worry too much about the stuff. And it's

0:15:53.040 --> 0:15:54.640
<v Speaker 1>been like that ever since. And in fact, the gold

0:15:54.680 --> 0:15:58.200
<v Speaker 1>market changed in the late nineties because central central banks

0:15:58.320 --> 0:16:01.800
<v Speaker 1>in some central in Switzerland did something other about gold,

0:16:01.840 --> 0:16:05.480
<v Speaker 1>and ever since then, gold tends to crash up when

0:16:05.480 --> 0:16:07.800
<v Speaker 1>the market goes down. Gold doesn't God, Gold tends to

0:16:07.800 --> 0:16:10.240
<v Speaker 1>go down slowly and go up dramatically, and so you

0:16:10.320 --> 0:16:13.320
<v Speaker 1>get an inverse sort of option behavior that's been there since.

0:16:14.720 --> 0:16:17.720
<v Speaker 1>So all this talk about market crashes is kind of

0:16:17.800 --> 0:16:20.560
<v Speaker 1>reminding me of what's going on right now. In the

0:16:20.640 --> 0:16:24.320
<v Speaker 1>aftermath of the Brexit referendum in the UK. Um we

0:16:24.400 --> 0:16:27.120
<v Speaker 1>obviously saw market sell off after that, but we saw

0:16:27.160 --> 0:16:32.280
<v Speaker 1>a lot of people worrying about what systematic traders, uh,

0:16:32.400 --> 0:16:34.760
<v Speaker 1>you know, like risk parity guys that sort of thing

0:16:34.800 --> 0:16:37.520
<v Speaker 1>what they would do. And those guys have been likened

0:16:37.600 --> 0:16:42.560
<v Speaker 1>before to sort of modern portfolio insurers in the sense

0:16:43.000 --> 0:16:46.160
<v Speaker 1>that they could create this sort of feedback loop during

0:16:46.160 --> 0:16:48.440
<v Speaker 1>a big sell off. I'd love to get your thoughts

0:16:48.440 --> 0:16:51.120
<v Speaker 1>on that. I think that's true. I think anybody who

0:16:51.160 --> 0:16:56.240
<v Speaker 1>behaves mechanically um um is behaving a bit like portfolio insurance,

0:16:56.320 --> 0:16:59.200
<v Speaker 1>and and if people know it's coming, they start to

0:16:59.320 --> 0:17:01.400
<v Speaker 1>try to dodge it. I mean, there's pretty people have

0:17:01.400 --> 0:17:03.520
<v Speaker 1>actually done very well in the best few months because

0:17:04.080 --> 0:17:09.399
<v Speaker 1>they like them they invest equally in in bonds, stocks

0:17:09.400 --> 0:17:11.760
<v Speaker 1>and commodities, and all of those things have gone up

0:17:12.840 --> 0:17:15.600
<v Speaker 1>so um. But yes, since they're behaving mechanically, there is

0:17:15.600 --> 0:17:18.760
<v Speaker 1>a danger that they keep doing the same thing. And

0:17:18.760 --> 0:17:20.960
<v Speaker 1>and you can only be clever if you're a small

0:17:21.000 --> 0:17:22.560
<v Speaker 1>part of the of the ocean. But if you're the

0:17:22.560 --> 0:17:25.160
<v Speaker 1>whole ocean, then then and everybody doing the same thing,

0:17:25.200 --> 0:17:30.200
<v Speaker 1>then your models don't work because you're actually affecting affecting

0:17:30.200 --> 0:17:32.200
<v Speaker 1>the thing you're trying to model. So yeah, I think

0:17:32.200 --> 0:17:35.800
<v Speaker 1>that could happen. Uh. You mentioned that part of the

0:17:35.840 --> 0:17:40.160
<v Speaker 1>reason you did the work earlier. Early on in your work,

0:17:40.440 --> 0:17:42.240
<v Speaker 1>there was a lot of demand for it because there

0:17:42.280 --> 0:17:44.720
<v Speaker 1>was a major shift in the direction of interest rates.

0:17:45.080 --> 0:17:47.480
<v Speaker 1>Right now, interest rates are only going in one direction.

0:17:47.560 --> 0:17:50.240
<v Speaker 1>Every day we wake up to new lower rates around

0:17:50.280 --> 0:17:54.440
<v Speaker 1>the world. Presumably one day that will change. It could

0:17:54.480 --> 0:17:57.560
<v Speaker 1>be next week, it could be years from now. When

0:17:57.600 --> 0:18:01.439
<v Speaker 1>that does happen, will we see once again lots of

0:18:01.480 --> 0:18:04.840
<v Speaker 1>models just being completely destroyed and types of portfolio is

0:18:04.880 --> 0:18:08.160
<v Speaker 1>not working and a sort of really really looking at

0:18:08.800 --> 0:18:11.440
<v Speaker 1>how to do all this stuff. That's I mean, I

0:18:11.440 --> 0:18:13.919
<v Speaker 1>think that's already happening. That's a perceptive question. If you

0:18:13.960 --> 0:18:15.960
<v Speaker 1>look at the thing I mentioned earlier, this Black Derman

0:18:16.000 --> 0:18:18.760
<v Speaker 1>toy model, and essentially all the interest rate models that

0:18:18.840 --> 0:18:21.320
<v Speaker 1>people built, they always assumed rates could never go negative.

0:18:21.640 --> 0:18:23.840
<v Speaker 1>If you try buying software, they actually won't let you

0:18:23.920 --> 0:18:26.880
<v Speaker 1>enter a negative rate. And so I don't really work

0:18:26.880 --> 0:18:28.800
<v Speaker 1>on this stuff anymore, but I think a lot of

0:18:28.800 --> 0:18:31.159
<v Speaker 1>people have been working for banks on how do you

0:18:31.320 --> 0:18:35.080
<v Speaker 1>value options when when there's actually a negative interest rate

0:18:35.080 --> 0:18:38.800
<v Speaker 1>which the previous model just didn't allow. And I mean,

0:18:39.160 --> 0:18:41.119
<v Speaker 1>this stuff is very different from physics. I try to

0:18:41.160 --> 0:18:43.000
<v Speaker 1>point out in my book because in physics, once you

0:18:43.000 --> 0:18:45.439
<v Speaker 1>figure out the way the planets work, they say that

0:18:45.480 --> 0:18:47.160
<v Speaker 1>way they don't really care what you say about them.

0:18:47.200 --> 0:18:49.280
<v Speaker 1>But when you figure out a model for markets and

0:18:49.320 --> 0:18:52.040
<v Speaker 1>everybody uses it, as Tracy was pointing out, it actually

0:18:52.040 --> 0:18:54.679
<v Speaker 1>starts to affect the thing you're modeling, and so no

0:18:54.800 --> 0:18:58.200
<v Speaker 1>model asks forever, you know, there's there's some It lives

0:18:58.200 --> 0:19:00.399
<v Speaker 1>for a while, and then people get smarter when market

0:19:00.720 --> 0:19:02.240
<v Speaker 1>which is what happened, and he said, when the market

0:19:02.280 --> 0:19:05.280
<v Speaker 1>suddenly misbehaves and they adjust their model, and it's it's

0:19:05.320 --> 0:19:07.560
<v Speaker 1>sort of an endless leap frog in a way. Well,

0:19:08.000 --> 0:19:10.159
<v Speaker 1>I suppose that gets to the heart of one of

0:19:10.160 --> 0:19:14.040
<v Speaker 1>the major criticisms leveled at quantitative finance and at models,

0:19:14.040 --> 0:19:17.200
<v Speaker 1>which is that how useful are they really? We hear

0:19:17.280 --> 0:19:20.680
<v Speaker 1>all the time about like ten sigma events in markets,

0:19:20.680 --> 0:19:22.719
<v Speaker 1>things that are only supposed to happen every you know,

0:19:23.200 --> 0:19:26.000
<v Speaker 1>one day in five million years, and things like that,

0:19:26.080 --> 0:19:29.919
<v Speaker 1>and they seem to keep happening. So clearly the models

0:19:29.920 --> 0:19:34.800
<v Speaker 1>are missing something, right, Yeah, you're right, I think. Yeah,

0:19:34.840 --> 0:19:36.879
<v Speaker 1>I've written a lot about the section. I think models

0:19:36.920 --> 0:19:39.840
<v Speaker 1>are only good as as long as the world stays

0:19:41.200 --> 0:19:43.480
<v Speaker 1>in the sort of regime that you're currently in, and

0:19:43.480 --> 0:19:45.680
<v Speaker 1>then they provide a good way of valuing things as

0:19:45.680 --> 0:19:47.760
<v Speaker 1>long as things change a little bit, not too much.

0:19:47.840 --> 0:19:50.080
<v Speaker 1>When you move to a new regime like negative interest

0:19:50.160 --> 0:19:53.720
<v Speaker 1>rates or this old central bank um sort of the

0:19:53.760 --> 0:19:56.520
<v Speaker 1>last seven years of risk on risk off, then your

0:19:56.560 --> 0:20:00.399
<v Speaker 1>old models don't work. And yeah, A kind of like

0:20:00.480 --> 0:20:02.880
<v Speaker 1>to say, it's idolatry to imagine that you can write

0:20:02.920 --> 0:20:06.440
<v Speaker 1>down an equation that's going to accurately reflect the way

0:20:06.480 --> 0:20:11.119
<v Speaker 1>people behave. Uh So let's sort of start or go

0:20:11.200 --> 0:20:13.080
<v Speaker 1>back to where we talked about in the beginning, with

0:20:13.119 --> 0:20:17.640
<v Speaker 1>the connection of globalization and exotic options. In the wake

0:20:17.720 --> 0:20:23.760
<v Speaker 1>of the Brexit vote, arguably finite the world maybe deglobalizing somewhat.

0:20:24.400 --> 0:20:27.800
<v Speaker 1>What is uh, what is your assessment of the financial

0:20:27.800 --> 0:20:30.040
<v Speaker 1>industry these days? Every day we wake up to news

0:20:30.119 --> 0:20:37.399
<v Speaker 1>about layoffs, retrenchments, large banks divesting their their foreign subsidiaries.

0:20:38.119 --> 0:20:42.159
<v Speaker 1>Where do you see the industry going? You know, it

0:20:42.200 --> 0:20:44.800
<v Speaker 1>goes in cycles. When I when I started out, it

0:20:44.960 --> 0:20:47.119
<v Speaker 1>was very important to be able to program and to

0:20:47.160 --> 0:20:50.399
<v Speaker 1>do quantitative work. Then at some point being able to

0:20:50.400 --> 0:20:52.879
<v Speaker 1>program became a commodity that you could give to the

0:20:52.880 --> 0:20:55.080
<v Speaker 1>I T people and you just did theoretical work, which

0:20:55.160 --> 0:20:59.120
<v Speaker 1>I never really liked. And now now exotic options are

0:20:59.320 --> 0:21:02.240
<v Speaker 1>sort of pretty much a small market. Nobody's interested in

0:21:02.280 --> 0:21:06.520
<v Speaker 1>that anymore. Everything's done electronically and algorithmically, and so software

0:21:06.560 --> 0:21:10.600
<v Speaker 1>skills for for financial companies and investment banks and for

0:21:10.680 --> 0:21:14.000
<v Speaker 1>hedge funds have become much more important. And so I'm

0:21:14.040 --> 0:21:16.160
<v Speaker 1>looking for the point of the job market students now.

0:21:16.320 --> 0:21:19.080
<v Speaker 1>Students now have to be good programmers if they want

0:21:19.080 --> 0:21:20.600
<v Speaker 1>to get a job, which didn't used to be the

0:21:20.600 --> 0:21:23.639
<v Speaker 1>case ten or fifteen years ago. So I think everything

0:21:23.680 --> 0:21:28.120
<v Speaker 1>is moving away from exoticism and towards vanilla products um

0:21:28.240 --> 0:21:34.480
<v Speaker 1>algorithmic trading, high frequency trading by computer. That's what it's

0:21:34.480 --> 0:21:36.040
<v Speaker 1>been like for the last five or six years, and

0:21:36.160 --> 0:21:38.600
<v Speaker 1>I don't see that ending soon. Does that make you

0:21:38.720 --> 0:21:42.520
<v Speaker 1>happy or sad? The idea that some of the exoticism

0:21:42.520 --> 0:21:45.800
<v Speaker 1>of Wall Street might be going away now A little

0:21:45.800 --> 0:21:47.760
<v Speaker 1>bit sad in the sense that I had a good time.

0:21:48.800 --> 0:21:50.520
<v Speaker 1>What was nice about the years that I worked at

0:21:50.520 --> 0:21:54.879
<v Speaker 1>Goldman was that Goldman functioned in a very informal and

0:21:55.000 --> 0:21:57.320
<v Speaker 1>bureaucratic way, at least for the first and for the

0:21:57.359 --> 0:21:59.160
<v Speaker 1>first ten years I was there, And if you worked

0:21:59.160 --> 0:22:02.040
<v Speaker 1>with the trading desk, it was a bit like being

0:22:02.040 --> 0:22:03.800
<v Speaker 1>in physics. There were a bunch of traders who are

0:22:03.800 --> 0:22:06.440
<v Speaker 1>like the experimentalists, and a bunch of quantity with the theorists,

0:22:06.440 --> 0:22:08.359
<v Speaker 1>and you all spoke every day and you work together,

0:22:08.720 --> 0:22:12.640
<v Speaker 1>and it was kind of exciting. And I think what's

0:22:12.640 --> 0:22:15.480
<v Speaker 1>said a little bit for me now is that most

0:22:15.560 --> 0:22:17.960
<v Speaker 1>of the jobs for people are in bureaucracy and risk

0:22:18.000 --> 0:22:24.440
<v Speaker 1>management and risk reporting, in basle regulations. And yeah, very

0:22:24.560 --> 0:22:28.280
<v Speaker 1>very um very driven by regulation and reporting rather than

0:22:28.800 --> 0:22:33.639
<v Speaker 1>actually trying to do new things. Is the regulation, while

0:22:33.640 --> 0:22:36.400
<v Speaker 1>it may be boring and not exciting, is it at

0:22:36.440 --> 0:22:38.280
<v Speaker 1>a good thing for society or do you think it

0:22:38.280 --> 0:22:41.600
<v Speaker 1>could be a counterproductive I think it's good up to

0:22:41.640 --> 0:22:44.159
<v Speaker 1>a point. But I'm a bit of a skeptic about

0:22:44.880 --> 0:22:46.520
<v Speaker 1>I'm a bit of a skeptic about what's happened in

0:22:46.560 --> 0:22:50.360
<v Speaker 1>the last ideas I think they should have. I think

0:22:50.359 --> 0:22:51.840
<v Speaker 1>that I think that the way people learn a good

0:22:51.920 --> 0:22:53.919
<v Speaker 1>lesson is when they go bankrupt, when they lost a

0:22:53.920 --> 0:22:56.520
<v Speaker 1>lot of money by being stupid, or by being careless,

0:22:56.600 --> 0:22:58.520
<v Speaker 1>or but just just by the fact that that's the

0:22:58.520 --> 0:23:02.639
<v Speaker 1>way the world works. And I think nothing's nothing prevents

0:23:02.680 --> 0:23:05.760
<v Speaker 1>people from doing bad things again except getting punished by

0:23:05.760 --> 0:23:09.280
<v Speaker 1>the market for having done them. And I think forty

0:23:09.680 --> 0:23:13.119
<v Speaker 1>page of regulation are are not an adequate substitute for

0:23:13.240 --> 0:23:18.000
<v Speaker 1>just letting people go under when they do badly? Easy

0:23:18.080 --> 0:23:24.119
<v Speaker 1>to say, I know, but but nevertheless, Uh so you

0:23:24.240 --> 0:23:28.600
<v Speaker 1>mentioned that you're working on a textbook. Let's what is that?

0:23:28.760 --> 0:23:32.960
<v Speaker 1>And also just what else are you interested in these days? Um,

0:23:33.040 --> 0:23:36.520
<v Speaker 1>I'm working. I taught a course on the volatility smile

0:23:36.560 --> 0:23:39.400
<v Speaker 1>on this thing that happens in seven for the last

0:23:39.440 --> 0:23:41.919
<v Speaker 1>ten or fifteen years, mostly based on the work I

0:23:42.000 --> 0:23:44.320
<v Speaker 1>did at Goldman, and so I've just finished a textbook

0:23:44.359 --> 0:23:46.080
<v Speaker 1>on that, which is coming out in September, and it

0:23:46.119 --> 0:23:48.760
<v Speaker 1>has a very pretty cover from I don't know even

0:23:48.760 --> 0:23:52.280
<v Speaker 1>know who hockey side was. He was some Spanish woodcutter

0:23:52.480 --> 0:23:54.080
<v Speaker 1>a picture of a big wave which looks like a

0:23:54.119 --> 0:24:00.000
<v Speaker 1>volatility smile. So I'm finished that. Um. I wrote another

0:24:00.000 --> 0:24:02.720
<v Speaker 1>book called Models Behaving Badly, which was more philosophical about

0:24:02.760 --> 0:24:04.800
<v Speaker 1>the difference between models and physics. And I kind of like,

0:24:05.160 --> 0:24:06.520
<v Speaker 1>I don't know, I've I've spent a lot of time

0:24:06.560 --> 0:24:10.280
<v Speaker 1>doing quantitative stuff. I prefer doing qualitative stuff and writing. Now.

0:24:11.880 --> 0:24:14.639
<v Speaker 1>Um there's actually I'm working a little bit with the

0:24:14.680 --> 0:24:18.000
<v Speaker 1>guy who's a professor of anthropology. This is kind of

0:24:18.040 --> 0:24:21.119
<v Speaker 1>interesting at at at the News School, and there are

0:24:21.119 --> 0:24:22.639
<v Speaker 1>a whole bunch of them who are very interested in

0:24:22.680 --> 0:24:25.680
<v Speaker 1>the anthropology of finance and the way traders behave. And

0:24:25.720 --> 0:24:28.880
<v Speaker 1>it's kind of interesting because traders use models that they

0:24:28.880 --> 0:24:31.840
<v Speaker 1>know are wrong, but nevertheless they keep using them in

0:24:31.880 --> 0:24:35.639
<v Speaker 1>a more or less effective way. And we're interested in

0:24:35.680 --> 0:24:38.520
<v Speaker 1>sort of looking at at at how this works. And

0:24:38.560 --> 0:24:41.800
<v Speaker 1>plus he's got this idea, which I think is right.

0:24:41.800 --> 0:24:45.240
<v Speaker 1>It's a little that that that volatility became an interesting

0:24:45.320 --> 0:24:48.320
<v Speaker 1>thing in society in the last fifteen in the last

0:24:48.359 --> 0:24:51.760
<v Speaker 1>thirty years. If you look at them, if you look

0:24:51.760 --> 0:24:55.400
<v Speaker 1>at people writing surfboards are doing skateboarding, they're actually doing

0:24:55.440 --> 0:24:58.679
<v Speaker 1>something very similar. When they go up and down, up

0:24:58.720 --> 0:25:03.680
<v Speaker 1>and down, they're sort of hedging out there there. Maybe

0:25:03.720 --> 0:25:07.399
<v Speaker 1>I'm getting to complicate this is okay. Well, when you

0:25:07.480 --> 0:25:10.760
<v Speaker 1>value an option, you first hedge it, and so you

0:25:10.880 --> 0:25:13.280
<v Speaker 1>get rid of the pure market risk and what you

0:25:13.400 --> 0:25:15.720
<v Speaker 1>left with is a sort of convexity kind of shape

0:25:15.760 --> 0:25:18.960
<v Speaker 1>that's just the residual part of the option. And it's

0:25:19.080 --> 0:25:21.399
<v Speaker 1>very similar in a in a metaphorical way to what

0:25:21.600 --> 0:25:25.840
<v Speaker 1>skateboarders or to what surfers do when they ride they

0:25:25.920 --> 0:25:28.960
<v Speaker 1>ride a wave, and they're not interested in the horizontal motion.

0:25:29.000 --> 0:25:30.879
<v Speaker 1>They're interested in moving up and down the curve of

0:25:30.920 --> 0:25:34.840
<v Speaker 1>the wave as it as it curls. And um, this

0:25:35.200 --> 0:25:37.640
<v Speaker 1>friend of mine is sort of interested in the whole

0:25:37.680 --> 0:25:41.200
<v Speaker 1>idea of people in the world since the early seventies

0:25:41.240 --> 0:25:45.000
<v Speaker 1>being interested in volatility as a as a as a quantity,

0:25:45.040 --> 0:25:47.359
<v Speaker 1>the same way as people use options to trade volatility

0:25:47.359 --> 0:25:50.200
<v Speaker 1>as an asset. So you know, people who wander through

0:25:50.240 --> 0:25:53.560
<v Speaker 1>city streets and try to experience the excitement rather than

0:25:53.600 --> 0:25:55.439
<v Speaker 1>trying to go somewhere. Is a is a sort of

0:25:55.560 --> 0:26:01.600
<v Speaker 1>version of of optionality. Interesting. Well, it sounds like fascinating stuff,

0:26:02.000 --> 0:26:04.320
<v Speaker 1>and I hope you are now. I really want to

0:26:04.359 --> 0:26:07.240
<v Speaker 1>read more about this stuff, and I hope you write

0:26:07.280 --> 0:26:09.680
<v Speaker 1>on it. Okay, Um, yeah, my textbook is going to

0:26:09.760 --> 0:26:12.560
<v Speaker 1>be a technical book, although I'm very against if I

0:26:12.600 --> 0:26:16.200
<v Speaker 1>can say one more thing, Um, finance and financial engineering

0:26:16.200 --> 0:26:19.440
<v Speaker 1>has gotten very mathematical in the last fifteen or twenty years,

0:26:19.440 --> 0:26:21.879
<v Speaker 1>and I kind of disapproved people teach it as though

0:26:21.920 --> 0:26:24.040
<v Speaker 1>it's a branch of mathematics, but really it's a real

0:26:24.040 --> 0:26:27.720
<v Speaker 1>world field and it shouldn't have theorems or axioms. It's

0:26:27.760 --> 0:26:30.480
<v Speaker 1>about the way the world behaves. And I'm I'm trying

0:26:30.480 --> 0:26:32.520
<v Speaker 1>to write my textbook in that way too, and a

0:26:32.560 --> 0:26:36.080
<v Speaker 1>little bit of a of a counter counterpoint to the

0:26:36.080 --> 0:26:39.119
<v Speaker 1>way that people people often teach finance. And now it's

0:26:39.119 --> 0:26:41.240
<v Speaker 1>a branch of pure math, as though you write down

0:26:41.240 --> 0:26:43.240
<v Speaker 1>axioms and you you know, like euclid, and you work

0:26:43.240 --> 0:26:45.880
<v Speaker 1>out the results, and the world doesn't really work that way.

0:26:46.040 --> 0:26:48.000
<v Speaker 1>And as you point out, all models are wrong. It's

0:26:48.040 --> 0:26:51.719
<v Speaker 1>just yes, which which ones are less wrong? Yes? All right,

0:26:51.840 --> 0:26:55.400
<v Speaker 1>Emmanuel German, author of My Life as a quant and

0:26:55.720 --> 0:26:58.359
<v Speaker 1>models are behaving badly and a forthcoming textbook on the

0:26:58.440 --> 0:27:01.560
<v Speaker 1>volatility smile. Thank you very much for joining us. Thanks

0:27:01.560 --> 0:27:07.400
<v Speaker 1>someone's glad to be here. Well, Tracy, I I loved

0:27:07.440 --> 0:27:10.760
<v Speaker 1>that discussion. I'm guessing you did too, me too, I

0:27:11.480 --> 0:27:15.560
<v Speaker 1>I gradgically admit I I will join the Joe Wisenthal

0:27:15.760 --> 0:27:19.680
<v Speaker 1>book Club in future. It's you know, one thing. I mean,

0:27:20.280 --> 0:27:25.320
<v Speaker 1>there's a lot to unpack, obviously, but this, this topic

0:27:25.520 --> 0:27:29.240
<v Speaker 1>seems like such a great way of looking at so

0:27:29.320 --> 0:27:32.880
<v Speaker 1>much Wall Street history from it being strictly a sort

0:27:32.880 --> 0:27:36.199
<v Speaker 1>of like personal driven business too. Then the rise of

0:27:36.280 --> 0:27:40.200
<v Speaker 1>the mathematics too, then the software driven. It seems like

0:27:40.680 --> 0:27:43.760
<v Speaker 1>by examining this we really get this sort of pretty

0:27:43.800 --> 0:27:46.080
<v Speaker 1>big scope of how things have changed over the last

0:27:46.119 --> 0:27:48.240
<v Speaker 1>several decades. Yeah, and I think one of the really

0:27:48.280 --> 0:27:50.800
<v Speaker 1>interesting things that Emmanuel pointed out towards the end of

0:27:50.800 --> 0:27:54.320
<v Speaker 1>the conversation was that even though we essentially just recorded

0:27:54.320 --> 0:27:57.680
<v Speaker 1>a podcast that was sort of about physics and mathematical

0:27:57.760 --> 0:28:01.440
<v Speaker 1>models and quantitative finance, so oh, much of it actually

0:28:01.520 --> 0:28:05.199
<v Speaker 1>has to do with human behavior and how traders and

0:28:05.240 --> 0:28:09.600
<v Speaker 1>investors and people on Wall Street choose to use those models.

0:28:10.160 --> 0:28:12.080
<v Speaker 1>And uh, you know, we've seen in the past that

0:28:12.200 --> 0:28:15.919
<v Speaker 1>sometimes it goes horribly wrong, and sometimes they do have

0:28:15.960 --> 0:28:18.800
<v Speaker 1>a lot of practical use. So I find that fascinating.

0:28:19.800 --> 0:28:23.920
<v Speaker 1>And sometimes people's emotions just make them cause them to

0:28:24.000 --> 0:28:27.960
<v Speaker 1>make horrible decisions, even though everything that intellectually or their

0:28:27.960 --> 0:28:31.560
<v Speaker 1>models would say, uh, would have advised against it exactly.

0:28:31.720 --> 0:28:33.760
<v Speaker 1>And you know what, Joe, this was actually a really

0:28:33.800 --> 0:28:37.600
<v Speaker 1>timely discussion to have, given the market fallout from Brexit

0:28:37.760 --> 0:28:41.200
<v Speaker 1>and all the discussion we've seen once again about var

0:28:41.400 --> 0:28:45.280
<v Speaker 1>shocks and things that aren't supposed to be happening mathematically

0:28:45.400 --> 0:28:49.000
<v Speaker 1>happening once again, it was a really timely discussion. I

0:28:49.040 --> 0:28:52.360
<v Speaker 1>liked it. Yeah, you've written so much about That's a

0:28:52.400 --> 0:28:54.960
<v Speaker 1>recurring theme of your writing is how these things that

0:28:55.000 --> 0:28:57.400
<v Speaker 1>are supposed to only happen once every million years seemed

0:28:57.400 --> 0:29:01.160
<v Speaker 1>to happen a few times a year these days. Yeah, exactly.

0:29:01.200 --> 0:29:05.360
<v Speaker 1>And unfortunately the models aren't really well suited to taking

0:29:05.400 --> 0:29:08.840
<v Speaker 1>that into account, so we'll see what happens. All right, Well,

0:29:08.880 --> 0:29:12.040
<v Speaker 1>this has been another edition of the Odd Lots Podcast.

0:29:12.120 --> 0:29:14.640
<v Speaker 1>I'm Joe Wisnthal. You can follow me on Twitter at

0:29:14.640 --> 0:29:17.520
<v Speaker 1>the Stalwart, and I'm Tracy Alloway. I'm on Twitter at

0:29:17.560 --> 0:29:21.480
<v Speaker 1>Tracy Alloway. And you should follow Emmanuel Derman on Twitter

0:29:21.640 --> 0:29:24.480
<v Speaker 1>at Emmanuel Derma. All Right, thanks for listening. We'll see

0:29:24.520 --> 0:29:25.960
<v Speaker 1>you here next week.