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>is going to become like Joe's book Club. It's basically

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<v Speaker 1>going to become Yeah, basically it's going to be just

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<v Speaker 1>here's what Joe read the week before and wants to

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<v Speaker 1>talk more about. You know, but I, well, I can live. Yeah,

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<v Speaker 1>it won't be that bad. I read good stuff. But

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<v Speaker 1>uh so, I recently had the chance to read the

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<v Speaker 1>book My Life as a quant by Emmanuel Derman, who

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<v Speaker 1>was a physic assist theoretical physicist who eventually joined Wall

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<v Speaker 1>Street during the quantitative revolution and sort of was at

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<v Speaker 1>all you know, all these sort of there's so much

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<v Speaker 1>talk about the equations and models that run finance these days,

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<v Speaker 1>and he was at the ground floor of how that

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<v Speaker 1>all got built up. Oh well, that's exciting. We've talked

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<v Speaker 1>plenty about mathematical models and their role in finance on

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<v Speaker 1>this podcast before, so exactly so, why not exactly so,

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<v Speaker 1>why not talk to one of the very original practitioners

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<v Speaker 1>of it. And we have Emmanuel here in studio. So um,

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<v Speaker 1>I say, let's get started. Let's do it. Emmanuel, thanks

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<v Speaker 1>for joining us, my pleasure. I'm really glad to be here.

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<v Speaker 1>So I want to start with something in your book.

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<v Speaker 1>One of the things that really struck me was you

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<v Speaker 1>pointed out how the explosion of exotic equity derivatives was

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<v Speaker 1>very much tied to the globalization of fine and after

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<v Speaker 1>the Cold War ended. And there's really seemed like a

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<v Speaker 1>poignant thing to read right now after the Brexit vote,

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<v Speaker 1>when it feels like the world is arguably deglobalizing a

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<v Speaker 1>little bit. Finance seems to be in retreat. But explain

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<v Speaker 1>to us the connection there, because I thought that that

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<v Speaker 1>was something that I had never thought of until I

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<v Speaker 1>read your book. Yeah, that's very interesting. It's funny. Nobody's

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<v Speaker 1>ever mentioned that to me about my book before I

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<v Speaker 1>joined them. Equity derivatives at Goldman. I've been in fix income.

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<v Speaker 1>I joined Equit Derivatives in early and I was in

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<v Speaker 1>charge of the quantitative Strategies group and we basically supported

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<v Speaker 1>the options disc And there was this flowering of interest

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<v Speaker 1>in exotic options because and it was because of globalization essentially,

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<v Speaker 1>once the Berlin Wall came down, people wanted to invest

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<v Speaker 1>in foreign in foreign stock markets. They didn't want to

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<v Speaker 1>buy individual stocks, so they used options, which was much simpler.

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<v Speaker 1>There were indicas developed all over the world, from the

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<v Speaker 1>NICK to the CAC to the decks, and everybody went

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<v Speaker 1>to the part of it. And there was also this

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<v Speaker 1>fashion in finance forum. Well it's still going on for

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<v Speaker 1>sort of not just buying your own country, not just

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<v Speaker 1>buying the stock of your own company. Canadian actually Canadian

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<v Speaker 1>pension funds used to come to US because Canadian pension

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<v Speaker 1>funds weren't allowed to buy more than a small amount

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<v Speaker 1>of foreign stock, and so they would do their exposure

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<v Speaker 1>through derivatives. Yes, so explain that a little bit more.

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<v Speaker 1>I think people understand what essentially an option is, but explain, well,

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<v Speaker 1>why are they called exotic options and why do they

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<v Speaker 1>have 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.

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<v Speaker 1>So for example, you might have have the right to

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<v Speaker 1>buy IBM a U from today at a hundred dollars

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<v Speaker 1>or whatever it is, and if IBM is training above

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<v Speaker 1>a hundred dollars at that point, you can buy it

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<v Speaker 1>for a hundred dollars, sell it for a hundred and

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<v Speaker 1>ten if it's training a hundred and ten, and make

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<v Speaker 1>ten bucks. And that's what people called vanilla standard call,

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<v Speaker 1>and there's a put similarly, but with exotic options. They

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<v Speaker 1>allowed you to get a much more fine tuned exposure

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<v Speaker 1>to different things. So, for example, the first thing I

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<v Speaker 1>worked on, which was kind of famous, not not me individally,

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<v Speaker 1>but a Goldman, was something called the Nike Um the

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<v Speaker 1>Nick put options, where Goldman issued put some the Nike

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<v Speaker 1>and the Nick was trading at I don't remember what

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<v Speaker 1>it was. That it's all time high of like twenty

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<v Speaker 1>nine thousand or something like that. And there are a

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<v Speaker 1>lot of people who were skeptical about the future of Japan. Rightly,

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<v Speaker 1>as it turns out and Goldman sold puts on the Nike.

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<v Speaker 1>But the reason they were exotic was people wanted a

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<v Speaker 1>better 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 Nike 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 plane of the net, it's not a plane embedded

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<v Speaker 1>in it. Are more scenarios and more hedges, yes, or

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<v Speaker 1>actually less in a sense. You if you bought an

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<v Speaker 1>ordery put on the Nick, you would be exposed to

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<v Speaker 1>both the yen dollar and to the Nike, and this

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<v Speaker 1>way you remove the end dollar. So people would do

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<v Speaker 1>this kind of stuff, or people would buy knockout options,

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<v Speaker 1>which were very popular, which is an option that gives

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<v Speaker 1>you money if it's called gives you money if the

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<v Speaker 1>stock rises, but gets knocked out if the stock drops

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<v Speaker 1>too low, if the stock drops too high. All of

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<v Speaker 1>these ways were basically ways of making speculative bets. By

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<v Speaker 1>putting up less money than you would for vanial option,

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<v Speaker 1>you were betting on a smaller range of probabilities than

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<v Speaker 1>just what was what was reflected in an ordinary option.

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<v Speaker 1>And Emmanuel, one thing I always wonder about when it

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<v Speaker 1>comes to these sorts of exotic options and instruments is

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<v Speaker 1>you're allowing me in vestor to sort of fine tune

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<v Speaker 1>their risk. But how do the banks that are actually

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<v Speaker 1>offering these kind of products, how did they manage their risk?

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<v Speaker 1>Because things like knockout options can be you know, um

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<v Speaker 1>kind of painful for the issuer, right, yes, So I

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<v Speaker 1>mean that that was my job exactly. We we Golden

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<v Speaker 1>for example, issued these exotic options, but if you sold

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<v Speaker 1>them to somebody, you didn't want to suffer when they

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<v Speaker 1>made money. So you had to head yourself. And you

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<v Speaker 1>couldn't just buy an exotic option from one person and

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<v Speaker 1>sell it to another, So you had to deconstructed and

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<v Speaker 1>what black shoals and all the extensions of option pricing

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<v Speaker 1>do is tell you essentially how to synthesize an option

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<v Speaker 1>or an exotic option from the underlying which is the

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<v Speaker 1>currency and the and the nique itself. Am I making sense?

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<v Speaker 1>I'm not sure? No? Absolutely, Okay. So so the models

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<v Speaker 1>we worked on, which I did for ten years, told

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<v Speaker 1>you how to dynamically every day trade the end dollar

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<v Speaker 1>and every day trade the nika in order to replicate

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<v Speaker 1>what you were selling to somebody else. You were selling

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<v Speaker 1>them a package and now you had created for yourself

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<v Speaker 1>so that when they won, you wouldn't lose. Yeah. I

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<v Speaker 1>love the way in your book essentially described it as

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<v Speaker 1>you're buying raw material, some combination of equity, cash the end,

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<v Speaker 1>and then you're repackaging it and basically selling it as

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<v Speaker 1>a mark up like any other manufacturer done. Honestly, that's

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<v Speaker 1>what it is. You're you're a middleman, you're a market maker,

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<v Speaker 1>You're you're a wholesaler. You're buying complex stuff that people

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<v Speaker 1>want to sell, and you're decomposing it into its constituents,

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<v Speaker 1>or you're selling people complex stuff and making it out

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<v Speaker 1>of out of simple constituents. So it's really I think,

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<v Speaker 1>I say in my book it's a bit like fruit salad.

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<v Speaker 1>If you want to know what you should charge for

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<v Speaker 1>fruit salad, you have to know the cost of canning,

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<v Speaker 1>the price of pears, apples, peaches, etcetera. And then you

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<v Speaker 1>you had a spread for your risk. Because the models

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<v Speaker 1>are really a little bit shaky. So let's actually let's

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<v Speaker 1>go back. Tell you mentioned the black skulls method, but

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<v Speaker 1>tell us about your beginning on Wall Street where quantitative

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<v Speaker 1>finance was, and when you joined, and then what you

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<v Speaker 1>worked on in your earlier years. You know, I came

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<v Speaker 1>to Goldman. I've been a physicist before that, and then

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<v Speaker 1>I worked for five years of the labs, where I

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<v Speaker 1>already learned a lot of software engineering, which was very useful,

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<v Speaker 1>and I joined Goldman in and the hot thing in

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<v Speaker 1>those days interest rates were coming down from the high

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<v Speaker 1>of sev We've lived through a massive bull market in

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<v Speaker 1>bonds right now. And I worked on black shoals explained

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<v Speaker 1>how to price options on stock. But now people were

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<v Speaker 1>interested in buying options on bonds because as interest rates

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<v Speaker 1>came down, people want to speculate on them going up

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<v Speaker 1>again or going down again. And so there was a

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<v Speaker 1>big market in options on treasury bonds. And the first

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<v Speaker 1>thing I did was work with Fisher Black and a

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<v Speaker 1>colleague of mine, Bill Toy, on trying to extend Black

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<v Speaker 1>Shoals into seeing yield curve things. Bonds and bunds a

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<v Speaker 1>paid coupons rather than stocks. And bonds are very different

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<v Speaker 1>from stocks because stocks have no termination date, but bunds

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<v Speaker 1>have a finite life, and and you really need a

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<v Speaker 1>totally different model. And I worked on something called b

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<v Speaker 1>d T everybody called it Black Dermon Toy, which was

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<v Speaker 1>one of the early models I did. That. The world's

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<v Speaker 1>gotten much more complicated since then. People make much more

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<v Speaker 1>elaborate models. So the way you describe the eighties and

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<v Speaker 1>the sort of explosion in exotic options, it almost sounds

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<v Speaker 1>like a sort of industrial revolution type thing for the

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<v Speaker 1>financial industry. Suddenly you have this big evolution happening in

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<v Speaker 1>products in ways to manage risk, and it kind of

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<v Speaker 1>leads to, um, I guess, more revenue and growth of

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<v Speaker 1>the financial industry as well. Yes, it was everybody. It

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<v Speaker 1>was a globalization. Um, it was the ability to trade

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<v Speaker 1>forim markets suddenly. UM it was Actually I wasn't academic before.

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<v Speaker 1>It was actually very excited. Everybody was waking up every

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<v Speaker 1>day to new products coming out and trying to or

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<v Speaker 1>your bank wanted to issue new products, and you were

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<v Speaker 1>trying to figure out how to value them and hedge

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<v Speaker 1>them because they want to eliminate as much risk for

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<v Speaker 1>themselves as possible. And so there was a there was

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<v Speaker 1>a Yeah, there was a literal sort of efflorescence of

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<v Speaker 1>papers on exotic options and how to hedge volatility and

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<v Speaker 1>the invention I worked on variant swaps, which are ways

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<v Speaker 1>of trading volatility rather than stocks. So how did you

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<v Speaker 1>feel about actually leaving physics and academia and going to

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<v Speaker 1>Wall Street because I imagine it must have been quite

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<v Speaker 1>a different work environment, right, Yes, I was. I was

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<v Speaker 1>very ashamed. You know people who in physics, and even

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<v Speaker 1>I have colleagues today, you are in physics, they go

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<v Speaker 1>into I wrote about this in my book. They're go

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<v Speaker 1>into physics a little bit like um with a religious

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<v Speaker 1>sort of fervor, thinking they're getting to discover something fundamental,

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<v Speaker 1>or try to discover something fundamental, and Um, everybody looks

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<v Speaker 1>down on you if you start to become practical, if

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<v Speaker 1>you start to go out to make a living. We

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<v Speaker 1>all despised people who did that, and eventually I did that. Too. Yeah.

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<v Speaker 1>I think one of the little anecdotes in your book

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<v Speaker 1>was about having some friend who who went to work

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<v Speaker 1>on traffic patterns in the city and feeling sorry for Himmer. Yeah. Yeah,

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<v Speaker 1>even though it sounds like interesting stuff, it is. One

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<v Speaker 1>of the lessons I've learned is that is that actually

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<v Speaker 1>everything is interesting. It's sort of like to see the

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<v Speaker 1>world in a grain of sand. If you look hard enough,

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<v Speaker 1>then a lot of things become interesting. But physics felt

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<v Speaker 1>a bit like a religion, and people look down on

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<v Speaker 1>you when you sort of left the monastery, and I

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<v Speaker 1>felt that for a while. I spent five years at

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<v Speaker 1>Bell Labs, which was interesting, but but it was my

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<v Speaker 1>first experience of working in the corporation and I sort

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<v Speaker 1>of hated it. And then when I came to gold

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<v Speaker 1>to Wall Street, into Goldman, I actually loved it because

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<v Speaker 1>they kind of took an academic interest in this stuff,

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<v Speaker 1>and so you woke up every morning working on something interesting.

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<v Speaker 1>But at the same time there were people who really

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<v Speaker 1>wanted it. Yeah. Actually, I'm one thing I still didn't

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<v Speaker 1>quite understand. So while you were working for Goldman, you

0:12:03.640 --> 0:12:08.559
<v Speaker 1>also published papers regularly and sort of publicized your findings.

0:12:08.880 --> 0:12:11.800
<v Speaker 1>How does that work. The tension of wanting to have

0:12:11.880 --> 0:12:15.880
<v Speaker 1>a model that allows Goldman to profit while also wanting

0:12:15.960 --> 0:12:19.240
<v Speaker 1>to do research that the public can know about and

0:12:19.280 --> 0:12:21.840
<v Speaker 1>you can have your name attached to. Yeah, that's that's

0:12:21.840 --> 0:12:24.800
<v Speaker 1>some I think that's pretty much vanished. People on Wall Street,

0:12:24.920 --> 0:12:28.040
<v Speaker 1>especially with Sabain's Oxley passing ten or fifteen years ago,

0:12:28.640 --> 0:12:31.199
<v Speaker 1>they they don't publish much research anymore. But I grew

0:12:31.280 --> 0:12:35.600
<v Speaker 1>up in an era where people developed new things and

0:12:35.679 --> 0:12:39.160
<v Speaker 1>unless somebody really insisted that they were incredibly proprietary like now,

0:12:39.200 --> 0:12:42.599
<v Speaker 1>for example, algorithmic trading, people people want published papers on.

0:12:42.800 --> 0:12:46.240
<v Speaker 1>But the options business was by and large a sales business.

0:12:46.640 --> 0:12:48.640
<v Speaker 1>You know, you were making money not so much from

0:12:48.640 --> 0:12:53.800
<v Speaker 1>speculating in volatility, but from providing people services and and

0:12:53.840 --> 0:12:56.559
<v Speaker 1>the more you educated your clients, the better they understood

0:12:56.559 --> 0:12:58.960
<v Speaker 1>what you were trying to do. So it was a

0:12:58.960 --> 0:13:01.320
<v Speaker 1>bit of a struggle, but worked for Fisher Black and

0:13:01.840 --> 0:13:04.280
<v Speaker 1>I pushed quite hard. We had a culture where where

0:13:04.559 --> 0:13:07.079
<v Speaker 1>unless somebody it's sort out, where you could never publish.

0:13:07.160 --> 0:13:09.679
<v Speaker 1>And then it became for a few years like they

0:13:09.679 --> 0:13:12.680
<v Speaker 1>had to say you can't publish, rather than you can publish.

0:13:13.160 --> 0:13:17.000
<v Speaker 1>Did you ever get pushed back from your employers, Goldman

0:13:17.200 --> 0:13:21.760
<v Speaker 1>or someone else about I guess the real world application

0:13:21.840 --> 0:13:23.800
<v Speaker 1>of some of the stuff you're doing, or its ability

0:13:23.840 --> 0:13:25.880
<v Speaker 1>to generate money. Like if you were working on a

0:13:25.920 --> 0:13:28.920
<v Speaker 1>project and they couldn't exactly see the commercial interest in it,

0:13:29.000 --> 0:13:33.560
<v Speaker 1>would they ask you to stop? Yeah, I mean, you know,

0:13:33.600 --> 0:13:36.079
<v Speaker 1>I published a lot of papers and I like doing that,

0:13:36.320 --> 0:13:37.880
<v Speaker 1>and I had a big group of people that did

0:13:37.880 --> 0:13:40.360
<v Speaker 1>that and and sometimes actually contact me, and they said

0:13:40.360 --> 0:13:43.280
<v Speaker 1>they didn't realize what a rare environment it was, because

0:13:43.280 --> 0:13:46.200
<v Speaker 1>most people weren't allowed to do that. But we did that.

0:13:46.240 --> 0:13:49.280
<v Speaker 1>But at the same time, our real job was building

0:13:50.040 --> 0:13:53.200
<v Speaker 1>risk management systems for the people that traded equity derivatives,

0:13:53.640 --> 0:13:55.760
<v Speaker 1>and so I would say we sort of earned our

0:13:55.840 --> 0:13:59.000
<v Speaker 1>keep by building software that embedded these models and that

0:13:59.160 --> 0:14:02.079
<v Speaker 1>let the manage that positions. And at the same time

0:14:02.280 --> 0:14:04.800
<v Speaker 1>we had to build new models, and they moral miss

0:14:04.840 --> 0:14:07.559
<v Speaker 1>agreed to let us publish, so they sometimes didn't like it.

0:14:08.559 --> 0:14:11.720
<v Speaker 1>One of the things that I found that maybe everybody

0:14:11.800 --> 0:14:14.240
<v Speaker 1>knew this before me, but that I did not know

0:14:14.360 --> 0:14:16.800
<v Speaker 1>until I read it in your book, was that the

0:14:17.960 --> 0:14:22.600
<v Speaker 1>seven stock market crash caused a permanent change to the

0:14:22.640 --> 0:14:26.720
<v Speaker 1>financial market landscape in terms of how options before that

0:14:26.800 --> 0:14:29.680
<v Speaker 1>crashed price in afterwards, and that had permanently changed the

0:14:29.720 --> 0:14:32.640
<v Speaker 1>way people value things. Can you explain what happened? Yes,

0:14:32.720 --> 0:14:35.400
<v Speaker 1>I can, um, and I'll make you writing a textbook.

0:14:35.560 --> 0:14:37.600
<v Speaker 1>I've just finished the textbook on that right now. But

0:14:38.360 --> 0:14:42.280
<v Speaker 1>but what happened in before seven? People pretty much use

0:14:42.400 --> 0:14:45.000
<v Speaker 1>the Black Sholes model to price options. Is it too

0:14:45.040 --> 0:14:48.600
<v Speaker 1>technical to talk about different strikes? Okay, with different strikes,

0:14:48.920 --> 0:14:50.760
<v Speaker 1>and they still use the same model and the tribute

0:14:50.800 --> 0:14:53.760
<v Speaker 1>to the same risk to the stock that lay underneath

0:14:53.760 --> 0:14:58.280
<v Speaker 1>the option. But after 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 --> 0:15:04.320
<v Speaker 1>and from then on everybody being a bit anthropomorphic, but

0:15:04.400 --> 0:15:08.800
<v Speaker 1>everybody understood that markets tend to crash down and glide up,

0:15:09.040 --> 0:15:10.760
<v Speaker 1>which is kind of what's been happening here too. You

0:15:10.800 --> 0:15:13.480
<v Speaker 1>get a big move down, but you get slow moves up.

0:15:13.840 --> 0:15:16.000
<v Speaker 1>And so if the world is more likely to move

0:15:16.040 --> 0:15:18.840
<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

0:15:21.000 --> 0:15:24.800
<v Speaker 1>the market drops. And everybody immediately did that, and it's

0:15:24.840 --> 0:15:27.680
<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 --> 0:15:34.120
<v Speaker 1>was something that wasn't reflected in the market until seven.

0:15:34.160 --> 0:15:36.160
<v Speaker 1>I mean we had market we had stock market crashes

0:15:36.200 --> 0:15:38.840
<v Speaker 1>before then. Yeah, I guess there was no options market

0:15:38.880 --> 0:15:43.200
<v Speaker 1>in in nine. And the options market didn't really get

0:15:43.240 --> 0:15:46.920
<v Speaker 1>big until Black Black Controls published their paper in seventy three.

0:15:47.400 --> 0:15:50.040
<v Speaker 1>And yeah, there was a fourteen year period where where

0:15:50.080 --> 0:15:53.000
<v Speaker 1>people didn't worry too much about the stuff. And it's

0:15:53.000 --> 0:15:54.640
<v Speaker 1>been like that ever since. And in fact, the gold

0:15:54.640 --> 0:15:58.200
<v Speaker 1>market changed in the late nineties because central central banks

0:15:58.280 --> 0:16:01.800
<v Speaker 1>in some central in Switzerland did something other about gold,

0:16:01.800 --> 0:16:05.440
<v Speaker 1>and ever since then, gold tends to crash up when

0:16:05.440 --> 0:16:07.760
<v Speaker 1>the market goes down. Gold doesn't gold. Gold tends to

0:16:07.800 --> 0:16:10.240
<v Speaker 1>go down slowly and go up dramatically, and so you

0:16:10.280 --> 0:16:13.280
<v Speaker 1>get an inverse sort of option behavior that's been there since.

0:16:14.680 --> 0:16:17.680
<v Speaker 1>So all this talk about market crashes is kind of

0:16:17.760 --> 0:16:20.520
<v Speaker 1>reminding me of what's going on right now. In the

0:16:20.600 --> 0:16:24.320
<v Speaker 1>aftermath of the Brexit referendum in the UK, um we

0:16:24.360 --> 0:16:27.120
<v Speaker 1>obviously saw markets sell off after that, but we saw

0:16:27.160 --> 0:16:32.240
<v Speaker 1>a lot of people worrying about what systematic traders, uh,

0:16:32.360 --> 0:16:34.760
<v Speaker 1>you know, like risk parity guys, that sort of thing,

0:16:34.760 --> 0:16:37.520
<v Speaker 1>what they would do. And those guys have been likened

0:16:37.560 --> 0:16:42.560
<v Speaker 1>before to sort of modern portfolio ensures in the sense

0:16:43.000 --> 0:16:46.120
<v Speaker 1>that they could create this sort of feedback loop during

0:16:46.120 --> 0:16:48.400
<v Speaker 1>a big sell off. I love to get your thoughts

0:16:48.400 --> 0:16:51.080
<v Speaker 1>on that. I think that's true. I think anybody who

0:16:51.120 --> 0:16:56.200
<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

0:16:59.280 --> 0:17:01.360
<v Speaker 1>try to dodge it. I mean, there's pretty people have

0:17:01.400 --> 0:17:03.480
<v Speaker 1>actually done very well in the best few months because

0:17:04.040 --> 0:17:10.160
<v Speaker 1>they like them they invest equally in bonds, stocks and commodities,

0:17:10.200 --> 0:17:13.720
<v Speaker 1>and all of those things have gone up so um.

0:17:13.760 --> 0:17:16.080
<v Speaker 1>But yes, since they're behaving mechanically, there is a danger

0:17:16.200 --> 0:17:19.439
<v Speaker 1>that they keep doing the same thing. And and you

0:17:19.480 --> 0:17:21.280
<v Speaker 1>can only be clever if you're a small part of

0:17:21.280 --> 0:17:23.040
<v Speaker 1>the of the ocean. But if you're the whole ocean,

0:17:23.080 --> 0:17:26.879
<v Speaker 1>then then and everybody doing the same thing, then your

0:17:26.920 --> 0:17:30.440
<v Speaker 1>models don't work because you're actually affecting affecting the thing

0:17:30.480 --> 0:17:34.080
<v Speaker 1>you're trying to model. So yeah, I think that could happen. Uh.

0:17:34.240 --> 0:17:38.040
<v Speaker 1>You mentioned that part of the reason you did the

0:17:38.080 --> 0:17:40.760
<v Speaker 1>work earlier. Early on in your work, there was a

0:17:40.760 --> 0:17:42.760
<v Speaker 1>lot of demand for it because there was a major

0:17:42.840 --> 0:17:45.840
<v Speaker 1>shift in the direction of interest rates. Right now, interest

0:17:45.920 --> 0:17:48.119
<v Speaker 1>rates are only going in one direction. Every day we

0:17:48.160 --> 0:17:51.960
<v Speaker 1>wake up to new lower rates around the world. Presumably

0:17:52.760 --> 0:17:55.359
<v Speaker 1>one day that will change. It could be next week,

0:17:55.359 --> 0:17:58.640
<v Speaker 1>it could be years from now. When that does happen,

0:17:59.119 --> 0:18:02.240
<v Speaker 1>will we see once again lots of models just being

0:18:02.240 --> 0:18:05.840
<v Speaker 1>completely destroyed and types of portfolios not working, and a

0:18:05.920 --> 0:18:09.800
<v Speaker 1>sort of really really looking at how to do all

0:18:09.800 --> 0:18:12.479
<v Speaker 1>this stuff. That's I mean, I think that's already happening.

0:18:12.480 --> 0:18:14.480
<v Speaker 1>That's a perceptive question. If you look at the thing

0:18:14.480 --> 0:18:17.600
<v Speaker 1>I mentioned earlier, this Black Derman toy model, and essentially

0:18:17.600 --> 0:18:19.639
<v Speaker 1>all the interest rate models that people built, they always

0:18:19.640 --> 0:18:22.960
<v Speaker 1>assumed rates could never go negative. If you try buying software,

0:18:22.960 --> 0:18:25.520
<v Speaker 1>they actually won't let you enter a negative rate. And

0:18:25.560 --> 0:18:27.760
<v Speaker 1>so I don't really work on this stuff anymore, but

0:18:27.800 --> 0:18:29.760
<v Speaker 1>I think a lot of people have been working for

0:18:29.840 --> 0:18:33.840
<v Speaker 1>banks on how do you value options when when there's

0:18:33.840 --> 0:18:36.080
<v Speaker 1>actually a negative interest rate which the previous model just

0:18:36.119 --> 0:18:40.200
<v Speaker 1>didn't allow. And I mean, this stuff is very different

0:18:40.200 --> 0:18:41.880
<v Speaker 1>from physics, I try to point out in my book

0:18:41.880 --> 0:18:43.720
<v Speaker 1>because in physics, once you figure out the way the

0:18:43.760 --> 0:18:46.280
<v Speaker 1>planets work, they say that way, they don't really care

0:18:46.280 --> 0:18:48.120
<v Speaker 1>what you say about them. But when you figure out

0:18:48.160 --> 0:18:50.639
<v Speaker 1>a model for markets and everybody uses it, as Tracy

0:18:50.720 --> 0:18:52.959
<v Speaker 1>was pointing out, it actually starts to affect the thing

0:18:53.000 --> 0:18:56.800
<v Speaker 1>you're modeling, and so no model asks forever you know,

0:18:56.840 --> 0:18:58.879
<v Speaker 1>there's there's some It lives for a while, and then

0:18:58.920 --> 0:19:01.359
<v Speaker 1>people get smarter when the market, which is what happened,

0:19:01.400 --> 0:19:03.840
<v Speaker 1>and he said, when the market suddenly misbehaves and they

0:19:03.840 --> 0:19:05.960
<v Speaker 1>adjust their model, and it's it's sort of an endless

0:19:06.000 --> 0:19:08.840
<v Speaker 1>leap frog in a way. Well, I suppose that gets

0:19:08.880 --> 0:19:11.800
<v Speaker 1>to the heart of one of the major criticisms leveled

0:19:11.880 --> 0:19:15.200
<v Speaker 1>at quantitative finance and at models, which is that how

0:19:15.320 --> 0:19:18.200
<v Speaker 1>useful are they really? We hear all the time about

0:19:18.240 --> 0:19:21.240
<v Speaker 1>like ten sigma events in markets, things that are only

0:19:21.320 --> 0:19:24.400
<v Speaker 1>supposed to happen every you know, one day in five

0:19:24.480 --> 0:19:26.840
<v Speaker 1>million years, and things like that, and they seem to

0:19:26.920 --> 0:19:31.560
<v Speaker 1>keep happening. So clearly the models are missing something, right, Yeah,

0:19:31.640 --> 0:19:35.720
<v Speaker 1>you're right, I think. Yeah, I've written a lot about

0:19:35.720 --> 0:19:38.399
<v Speaker 1>the section. I think models are only good as as

0:19:38.480 --> 0:19:42.200
<v Speaker 1>long as the world stays in the sort of regime

0:19:42.240 --> 0:19:44.440
<v Speaker 1>that you're currently in, and then they provide a good

0:19:44.440 --> 0:19:46.879
<v Speaker 1>way of valuing things as long as things change a

0:19:46.880 --> 0:19:48.480
<v Speaker 1>little bit, not too much. When you move to a

0:19:48.480 --> 0:19:51.920
<v Speaker 1>new regime like negative interest rates or this old central

0:19:51.920 --> 0:19:54.840
<v Speaker 1>bank um sort of the last seven years of risk

0:19:54.880 --> 0:19:59.880
<v Speaker 1>on risk off, then your old models don't work. And yeah,

0:20:00.040 --> 0:20:02.359
<v Speaker 1>kind of like to say, it's idolatry to imagine that

0:20:02.400 --> 0:20:05.720
<v Speaker 1>you can write down an equation that's going to accurately

0:20:05.760 --> 0:20:09.560
<v Speaker 1>reflect the way people behave. Uh So let's sort of

0:20:10.440 --> 0:20:12.240
<v Speaker 1>start or go back to where we talked about in

0:20:12.280 --> 0:20:16.680
<v Speaker 1>the beginning, with the connection of globalization and exotic options.

0:20:17.119 --> 0:20:21.159
<v Speaker 1>In the wake of the Brexit vote, arguably finite the

0:20:21.200 --> 0:20:26.040
<v Speaker 1>world maybe deglobalizing somewhat. What is uh, what is your

0:20:26.040 --> 0:20:29.080
<v Speaker 1>assessment of the financial industry these days? Every day we

0:20:29.119 --> 0:20:34.760
<v Speaker 1>wake up to news about layoffs, retrenchments, large banks divesting

0:20:34.880 --> 0:20:39.640
<v Speaker 1>their their foreign subsidiaries. Where do you see the industry going?

0:20:41.800 --> 0:20:43.960
<v Speaker 1>You know, it goes in cycles. When I when I

0:20:44.000 --> 0:20:46.280
<v Speaker 1>started out, it was very important to be able to

0:20:46.320 --> 0:20:49.240
<v Speaker 1>program and to do quantitative work. Then at some point

0:20:49.880 --> 0:20:52.480
<v Speaker 1>being able to program became a commodity that you could

0:20:52.480 --> 0:20:54.040
<v Speaker 1>give to the I T people and you just did

0:20:54.080 --> 0:20:58.000
<v Speaker 1>theoretical work, which I never really liked. And now now

0:20:58.040 --> 0:21:01.119
<v Speaker 1>exotic options are sort of pretty much a small market

0:21:01.160 --> 0:21:05.280
<v Speaker 1>nobody's interested in that anymore. Everything's done electronically and algorithmically,

0:21:05.320 --> 0:21:09.960
<v Speaker 1>and so software skills for for financial companies and investment

0:21:09.960 --> 0:21:12.960
<v Speaker 1>banks and for hedge funds have become much more important.

0:21:13.080 --> 0:21:15.160
<v Speaker 1>And so I'm looking for the point of the job

0:21:15.200 --> 0:21:18.560
<v Speaker 1>market students now. Students now have to be good programmers

0:21:18.600 --> 0:21:20.280
<v Speaker 1>if they want to get a job, which didn't used

0:21:20.280 --> 0:21:22.600
<v Speaker 1>to be the case ten or fifteen years ago. So

0:21:22.920 --> 0:21:25.720
<v Speaker 1>I think everything is moving away from exoticism and towards

0:21:25.760 --> 0:21:32.680
<v Speaker 1>vanilla products um algorithmic trading, high frequency trading by computer.

0:21:33.920 --> 0:21:35.399
<v Speaker 1>That's what it's been like for the last five or

0:21:35.440 --> 0:21:38.000
<v Speaker 1>six years, and I don't see that ending soon. Does

0:21:38.040 --> 0:21:41.399
<v Speaker 1>that make you happy or sad? The idea that some

0:21:41.480 --> 0:21:44.720
<v Speaker 1>of the exoticism of Wall Street might be going away

0:21:44.760 --> 0:21:47.000
<v Speaker 1>now A little bit sad in the sense that I

0:21:47.040 --> 0:21:49.920
<v Speaker 1>had a good time. What was nice about the years

0:21:49.960 --> 0:21:53.840
<v Speaker 1>that I worked at Goldman was that Goldman functioned in

0:21:53.880 --> 0:21:56.359
<v Speaker 1>a very informal and bureaucratic way, at least for the

0:21:56.400 --> 0:21:58.520
<v Speaker 1>first and for the first ten years I was there,

0:21:58.560 --> 0:22:00.919
<v Speaker 1>And if you worked with the trading desk, it was

0:22:00.960 --> 0:22:03.040
<v Speaker 1>a bit like being in physics. There were a bunch

0:22:03.080 --> 0:22:05.200
<v Speaker 1>of traders who are like the experimentalists and a bunch

0:22:05.200 --> 0:22:07.320
<v Speaker 1>of quantity with the theorists, and you all spoke every

0:22:07.400 --> 0:22:09.880
<v Speaker 1>day and you work together, and it was kind of exciting.

0:22:10.600 --> 0:22:13.480
<v Speaker 1>And I think what's said a little bit for me

0:22:13.520 --> 0:22:16.640
<v Speaker 1>now is that most of the jobs for people are

0:22:16.640 --> 0:22:21.440
<v Speaker 1>in bureaucracy and risk management and risk reporting in basle regulations.

0:22:22.040 --> 0:22:27.159
<v Speaker 1>And yeah, very very um very driven by regulation and

0:22:27.200 --> 0:22:31.000
<v Speaker 1>reporting rather than actually trying to do new things. Is

0:22:31.119 --> 0:22:35.560
<v Speaker 1>the regulation, while it may be boring and not exciting,

0:22:35.720 --> 0:22:37.800
<v Speaker 1>is it, i net, a good thing for society or

0:22:37.840 --> 0:22:40.880
<v Speaker 1>do you think it could be a counterproductive. I think

0:22:40.920 --> 0:22:43.080
<v Speaker 1>it's good up to a point. But I'm a bit

0:22:43.119 --> 0:22:45.719
<v Speaker 1>of a skeptic about I'm a bit of a skeptic

0:22:45.760 --> 0:22:49.119
<v Speaker 1>about what's happened in the last ideas I think they

0:22:49.119 --> 0:22:51.080
<v Speaker 1>should have. I think that I think that the way

0:22:51.119 --> 0:22:53.240
<v Speaker 1>people learn a good lesson is when they go bankrupt,

0:22:53.320 --> 0:22:55.639
<v Speaker 1>when they lost a lot of money by being stupid,

0:22:55.680 --> 0:22:57.920
<v Speaker 1>or by being careless, or but just just by the

0:22:58.000 --> 0:23:00.159
<v Speaker 1>fact that that's the way the world works. And I

0:23:00.200 --> 0:23:03.960
<v Speaker 1>think nothing's nothing prevents people from doing bad things again,

0:23:04.000 --> 0:23:06.920
<v Speaker 1>except getting punished by the market for having done them.

0:23:07.200 --> 0:23:11.600
<v Speaker 1>And I think forty page of regulation. Are are not

0:23:11.720 --> 0:23:15.399
<v Speaker 1>an adequate substitute for just letting people go under when

0:23:15.440 --> 0:23:23.160
<v Speaker 1>they do badly? Easy to say, I know, but but nevertheless,

0:23:23.240 --> 0:23:26.560
<v Speaker 1>Uh so you mentioned that you're working on a textbook.

0:23:27.720 --> 0:23:30.080
<v Speaker 1>Let's what is that? And also just what else are

0:23:30.119 --> 0:23:34.359
<v Speaker 1>you interested in these days? Um, I'm working. I taught

0:23:34.600 --> 0:23:37.120
<v Speaker 1>a course on the volatility smile on this thing that

0:23:37.440 --> 0:23:40.399
<v Speaker 1>happens in seven for the last ten or fifteen years,

0:23:40.800 --> 0:23:42.760
<v Speaker 1>mostly based on the work I did at Goldman, and

0:23:42.800 --> 0:23:44.840
<v Speaker 1>so I've just finished a textbook on that, which is

0:23:44.840 --> 0:23:47.320
<v Speaker 1>coming out in September, and it has a very pretty

0:23:47.359 --> 0:23:49.320
<v Speaker 1>cover from I don't know if you know who hockey

0:23:49.320 --> 0:23:52.800
<v Speaker 1>s I was. He was some Spanish woodcutter a picture

0:23:52.840 --> 0:23:55.000
<v Speaker 1>of a big wave which looks like a volatility smile.

0:23:55.400 --> 0:24:00.320
<v Speaker 1>So I'm finished that. Um. I wrote another are called

0:24:00.320 --> 0:24:03.080
<v Speaker 1>Models Behaving Badly, which was more philosophical about the difference

0:24:03.119 --> 0:24:05.200
<v Speaker 1>between models and physics. And I kind of like, I

0:24:05.240 --> 0:24:06.680
<v Speaker 1>don't know, I've I've spent a lot of time doing

0:24:06.720 --> 0:24:12.240
<v Speaker 1>quantitative stuff. I prefer doing qualitative stuff and writing. Now, Um,

0:24:12.280 --> 0:24:14.880
<v Speaker 1>there's actually I'm working a little bit with the guy

0:24:15.600 --> 0:24:18.359
<v Speaker 1>who's the professor of anthropology. This is kind of interesting

0:24:18.400 --> 0:24:21.119
<v Speaker 1>at at at the News School, and there are a

0:24:21.119 --> 0:24:22.760
<v Speaker 1>whole bunch of them who are very interested in the

0:24:22.800 --> 0:24:25.840
<v Speaker 1>anthropology of finance and the way traders behave. And it's

0:24:25.880 --> 0:24:28.960
<v Speaker 1>kind of interesting because traders use models that they know

0:24:29.000 --> 0:24:31.959
<v Speaker 1>are wrong, but nevertheless they keep using them in a

0:24:31.960 --> 0:24:35.880
<v Speaker 1>more or less effective way. And we're interested in sort

0:24:35.920 --> 0:24:38.920
<v Speaker 1>of looking at at at how this works. And plus

0:24:40.040 --> 0:24:41.919
<v Speaker 1>he's got this idea, which I think is right. It's

0:24:41.920 --> 0:24:45.480
<v Speaker 1>a little that that that volatility became an interesting thing

0:24:45.840 --> 0:24:49.000
<v Speaker 1>in society in the last fifteen in the last thirty years.

0:24:49.320 --> 0:24:52.160
<v Speaker 1>If you look at them, if you look at people

0:24:52.200 --> 0:24:56.400
<v Speaker 1>writing surfboards are doing skateboarding, they're actually doing something very similar.

0:24:56.440 --> 0:25:00.360
<v Speaker 1>When they go up and down, up and down, they're

0:25:00.400 --> 0:25:04.159
<v Speaker 1>sort of hedging out there there. Maybe I'm getting to

0:25:04.200 --> 0:25:08.240
<v Speaker 1>complicate this is okay. Well, when you value an option,

0:25:08.920 --> 0:25:11.359
<v Speaker 1>you first hedge it, and so you get rid of

0:25:11.400 --> 0:25:13.879
<v Speaker 1>the pure market risk and what you left with is

0:25:13.880 --> 0:25:16.320
<v Speaker 1>a sort of convexity kind of shape that's just the

0:25:17.000 --> 0:25:19.800
<v Speaker 1>residual part of the option. And it's very similar in

0:25:19.840 --> 0:25:23.000
<v Speaker 1>a in a metaphorical way to what skateboarders, or to

0:25:23.040 --> 0:25:26.560
<v Speaker 1>what surfers do when they ride. They ride a wave,

0:25:26.840 --> 0:25:29.480
<v Speaker 1>and they're not interested in the horizontal motion. They're interested

0:25:29.520 --> 0:25:31.320
<v Speaker 1>in moving up and down the curve of the wave

0:25:31.760 --> 0:25:35.520
<v Speaker 1>as it as it curls. And um, this friend of

0:25:35.520 --> 0:25:38.200
<v Speaker 1>mine is sort of interested in the whole idea of

0:25:39.280 --> 0:25:41.800
<v Speaker 1>people in the world since the early seventies being interested

0:25:41.840 --> 0:25:45.080
<v Speaker 1>in volatility as a as a as a quantity, the

0:25:45.119 --> 0:25:47.439
<v Speaker 1>same way as people use options to trade volatility as

0:25:47.480 --> 0:25:50.480
<v Speaker 1>an asset. So you know, people who wander through city

0:25:50.560 --> 0:25:53.800
<v Speaker 1>streets and try to experience the excitement rather than trying

0:25:53.800 --> 0:25:55.840
<v Speaker 1>to go somewhere. Is a is a sort of version

0:25:55.880 --> 0:26:01.560
<v Speaker 1>of of optionality. Interesting. Well, it sounds like fascinating stuff,

0:26:02.000 --> 0:26:04.280
<v Speaker 1>and I hope you are now. I really want to

0:26:04.359 --> 0:26:07.200
<v Speaker 1>read more about this stuff, and I hope you write

0:26:07.240 --> 0:26:09.680
<v Speaker 1>on it. Okay, Um, yeah, my textbook is going to

0:26:09.720 --> 0:26:12.560
<v Speaker 1>be a technical book, although I'm very against if I

0:26:12.560 --> 0:26:16.160
<v Speaker 1>can say one more thing, Um, finance and financial engineering

0:26:16.200 --> 0:26:19.360
<v Speaker 1>has gotten very mathematical in the last fifteen or twenty years,

0:26:19.440 --> 0:26:21.880
<v Speaker 1>and I kind of disapproved people teach it as though

0:26:21.880 --> 0:26:24.000
<v Speaker 1>it's a branch of mathematics, but really it's a real

0:26:24.040 --> 0:26:27.680
<v Speaker 1>world field and it shouldn't have theorems or axioms. It's

0:26:27.720 --> 0:26:30.440
<v Speaker 1>about the way the world behaves, and I'm I'm trying

0:26:30.480 --> 0:26:32.480
<v Speaker 1>to write my textbook in that way too, and a

0:26:32.520 --> 0:26:36.040
<v Speaker 1>little bit of a of a counter counterpoint to the

0:26:36.080 --> 0:26:39.159
<v Speaker 1>way that people people often teach finance. Now it's a

0:26:39.200 --> 0:26:41.680
<v Speaker 1>branch of pure math, as though you write down axioms

0:26:41.720 --> 0:26:43.400
<v Speaker 1>and you you know, like Uclid, and you work out

0:26:43.400 --> 0:26:45.880
<v Speaker 1>the results, and the world doesn't really work that way.

0:26:46.000 --> 0:26:48.000
<v Speaker 1>And as you point out, all models are wrong. It's

0:26:48.000 --> 0:26:51.720
<v Speaker 1>just yes, which which ones are less wrong? Yes? Alright,

0:26:51.800 --> 0:26:55.360
<v Speaker 1>Emmanuel German, author of My Life as a quant and

0:26:55.680 --> 0:26:59.320
<v Speaker 1>Models Behaving Badly and a forthcoming textbook on the volatility smile.

0:26:59.640 --> 0:27:02.240
<v Speaker 1>Thank very much for joining us. Thanks, someone's glad to

0:27:02.280 --> 0:27:08.560
<v Speaker 1>be here. Well, Tracy, I I loved that discussion. I'm

0:27:08.720 --> 0:27:13.400
<v Speaker 1>guessing you did too, me too, I gradgically admit I

0:27:13.400 --> 0:27:17.160
<v Speaker 1>I will join the Joe Wisenthal book Club in future.

0:27:17.320 --> 0:27:20.800
<v Speaker 1>It's you know, one thing. I mean, there's a lot

0:27:20.880 --> 0:27:26.280
<v Speaker 1>to unpack, obviously, but this, this topic seems like such

0:27:26.280 --> 0:27:30.679
<v Speaker 1>a great way of looking at so much Wall Street history.

0:27:30.800 --> 0:27:34.480
<v Speaker 1>From it being strictly a sort of like personal driven

0:27:34.520 --> 0:27:37.600
<v Speaker 1>business too, then the rise of the mathematics too, then

0:27:38.119 --> 0:27:42.240
<v Speaker 1>the software driven It seems like by examining this, we

0:27:42.320 --> 0:27:44.880
<v Speaker 1>really get this sort of pretty big scope of how

0:27:44.920 --> 0:27:47.320
<v Speaker 1>things have changed over the last several decades. Yeah, and

0:27:47.359 --> 0:27:49.480
<v Speaker 1>I think one of the really interesting things that Emmanuel

0:27:49.520 --> 0:27:51.720
<v Speaker 1>pointed out towards the end of the conversation was that

0:27:51.840 --> 0:27:55.199
<v Speaker 1>even though we essentially just recorded a podcast that was

0:27:55.240 --> 0:27:59.440
<v Speaker 1>sort of about physics and mathematical models and quantitative finance,

0:27:59.800 --> 0:28:02.800
<v Speaker 1>so much of it actually has to do with human

0:28:02.920 --> 0:28:06.920
<v Speaker 1>behavior and how traders and investors and people on Wall

0:28:06.920 --> 0:28:11.040
<v Speaker 1>Street choose to use those models. And uh, you know,

0:28:11.119 --> 0:28:14.359
<v Speaker 1>we've seen in the past that sometimes it goes horribly wrong,

0:28:14.400 --> 0:28:17.000
<v Speaker 1>and sometimes they do have a lot of practical use.

0:28:17.040 --> 0:28:22.520
<v Speaker 1>So I find that fascinating. And sometimes people's emotions just

0:28:22.720 --> 0:28:25.840
<v Speaker 1>make them cause them to make horrible decisions, even though

0:28:26.240 --> 0:28:29.560
<v Speaker 1>everything that intellectually or their models would say, uh, would

0:28:29.560 --> 0:28:32.760
<v Speaker 1>have advised against it exactly. And you know what, Joe,

0:28:32.800 --> 0:28:35.560
<v Speaker 1>this was actually a really timely discussion to have, given

0:28:35.960 --> 0:28:39.000
<v Speaker 1>the market fallout from Brexit and all the discussion we've

0:28:39.040 --> 0:28:43.360
<v Speaker 1>seen once again about var shocks and things that aren't

0:28:43.400 --> 0:28:47.640
<v Speaker 1>supposed to be happening mathematically happening once again, it was

0:28:47.680 --> 0:28:50.200
<v Speaker 1>a really timely discussion. I liked it. Yeah, you've written

0:28:50.360 --> 0:28:53.840
<v Speaker 1>so much about. That's a recurring theme of your writing

0:28:53.960 --> 0:28:56.000
<v Speaker 1>is how these things that are supposed to only happen

0:28:56.040 --> 0:28:58.240
<v Speaker 1>once every million years seemed to happen a few times

0:28:58.240 --> 0:29:02.680
<v Speaker 1>a year these days. Yeah, exactly, And unfortunately the models

0:29:03.240 --> 0:29:06.720
<v Speaker 1>aren't really well suited to taking that into account, so

0:29:07.040 --> 0:29:09.280
<v Speaker 1>we'll see what happens. All right. Well, this has been

0:29:09.320 --> 0:29:13.120
<v Speaker 1>another edition of the Odd Lots Podcast. I'm Joe Wisntal.

0:29:13.200 --> 0:29:15.600
<v Speaker 1>You can follow me on Twitter at the Stalwart, and

0:29:15.640 --> 0:29:18.760
<v Speaker 1>I'm Tracy Alloway. I'm on Twitter at Tracy Alloway. And

0:29:19.040 --> 0:29:22.640
<v Speaker 1>you should follow Emmanuel Derman on Twitter at Emmanuel Derman.

0:29:22.760 --> 0:29:25.160
<v Speaker 1>All Right, thanks for listening. We'll see you here next week.