WEBVTT - The Market's Big Bet on Low Volatility

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<v Speaker 1>Hello, and welcome to another episode of the Odd Thoughts Podcast.

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<v Speaker 1>I'm Tracy Alloway and I'm Joe wisn't so, Joe. It's

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<v Speaker 1>that time of year again. You know, we're getting close

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<v Speaker 1>to the end of and that means everyone is starting

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<v Speaker 1>to talk about what nineteen might have in store for markets. Truly,

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<v Speaker 1>the most wonderful time of year, I think is the

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<v Speaker 1>season right about now. It always warms my heart and

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<v Speaker 1>that's when you start getting analyst notes from sell side

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<v Speaker 1>shops talking about what the forecasts are for all asset classes, uh,

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<v Speaker 1>stocks and bonds and currencies. I truly think it's really

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<v Speaker 1>like the most heartwarming time of year for right, Okay, Um,

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<v Speaker 1>don't you absolutely the most wonderful time of the year. Indeed. Uh,

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<v Speaker 1>But there's there's a little bit of a difference this year,

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<v Speaker 1>I feel, and probably it's because December is coming off

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<v Speaker 1>the back of November and October, which, as we've discussed

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<v Speaker 1>on the All Thoughts Podcast before, have been pretty painful

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<v Speaker 1>months for a lot of investors. Yeah, that's true, and

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<v Speaker 1>of course people always update their forecasts basically to some extent,

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<v Speaker 1>extrapolating on what happened in the recent past. So I

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<v Speaker 1>think the fact that we got this sort of October

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<v Speaker 1>November intense about of volatility has caused people to say, oh, suddenly,

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<v Speaker 1>we see all these new risks on the horizon, Whereas

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<v Speaker 1>if you had asked them at the end of September,

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<v Speaker 1>they would have been much more sanguine about what the

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<v Speaker 1>future had in store. Yeah, everyone's sort of rushing to

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<v Speaker 1>retool their risk forecast for next year. But there's one

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<v Speaker 1>person who has been consistent in forecasting a very similar

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<v Speaker 1>set of risks for many years now, and that person

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<v Speaker 1>is going to be our guest on the show today.

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<v Speaker 1>That's great. I'm looking forward to this because a it'll

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<v Speaker 1>be nice to get an alternative viewpoint from the always

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<v Speaker 1>sort of, you know, somewhat rosy outlook of the mainstream

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<v Speaker 1>investing class. But it's also interesting to talk to people

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<v Speaker 1>who are contrarians, because while it's true that you know,

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<v Speaker 1>it can pay to have a different view, in the

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<v Speaker 1>meantime when markets aren't blowing up, it can be a

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<v Speaker 1>costly view. So how you reconcile that is always very interesting. Yeah, absolutely,

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<v Speaker 1>And I have to say I've been a fan of

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<v Speaker 1>this particular person's work for a very, very long time.

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<v Speaker 1>So I'm quite happy that we're going to have him

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<v Speaker 1>on the show and that we'll get to put these

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<v Speaker 1>questions to him. So, without further ado, our guest for

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<v Speaker 1>this episode is Chris Cole over Artemis Capital Management. Chris

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<v Speaker 1>is the founder and c IO of Artemis Capital and

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<v Speaker 1>he's been writing about the markets and specifically volatility for many,

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<v Speaker 1>many years now. Chris, welcome to the show. Thank you

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<v Speaker 1>for a pleasure to be here. So Chris, maybe just

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<v Speaker 1>to get started, you can give us a little bit

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<v Speaker 1>about your background and how you got to Artemis and

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<v Speaker 1>what exactly it does, because it's a little bit unusual,

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<v Speaker 1>I feel sure. Well, I think the mission of Artemis

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<v Speaker 1>is to really create opportunity out of chaos. Normally, when

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<v Speaker 1>there's volatility in the marketplace, that's a bad thing, big

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<v Speaker 1>equity draw downs, it impacts people's portfolio in a negative way.

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<v Speaker 1>Our job is to turn that volatility into something that's positive.

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<v Speaker 1>And the history of the firm actually comes out of

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<v Speaker 1>an old school hedge fund story. I used to I

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<v Speaker 1>was trading my own proprietary capital throughout the period of

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<v Speaker 1>two thousand seven to two thousand ten, and really turned

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<v Speaker 1>two thousand eight into something that was quite profitable and

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<v Speaker 1>try to develop strategies that paid off in the event

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<v Speaker 1>that there was a tremendous amount of volatility, but it

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<v Speaker 1>didn't bleed uncontrollably or lose a tremendous amount of capital.

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<v Speaker 1>Uh if the market continue to do well. And that

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<v Speaker 1>that was how Artemis was founded. It was founded out

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<v Speaker 1>of a bedroom um and you know today we have

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<v Speaker 1>institutional clients all over the world. So is the goal

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<v Speaker 1>of Artemis to be or even the goal of their

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<v Speaker 1>sort of framework, to be profitable over the long term,

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<v Speaker 1>or is it as some other funds are positioned, to

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<v Speaker 1>essentially allow people to take more risks during the good

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<v Speaker 1>times while ensuring that when the bad times hit unexpectedly

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<v Speaker 1>that they don't suffer a massive negative shock. Basically, the

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<v Speaker 1>answer is both actually depends how you want to use

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<v Speaker 1>the uh. You know where a hammer, you can use

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<v Speaker 1>this whatever we like to. I think we have clients

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<v Speaker 1>to look at it in both ways. But the goal

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<v Speaker 1>at the end of the day is is that throughout

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<v Speaker 1>the business cycle we want to deliver returns that show

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<v Speaker 1>excess alpha that are on par with what you'd expect

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<v Speaker 1>from an alpha generating hedge fund. But The difference is

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<v Speaker 1>that we want to create most of our returns when

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<v Speaker 1>the overall market is suffering the most and when there's

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<v Speaker 1>the most volatility. So instead of where most the classic

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<v Speaker 1>hedge fund structure of the classic portfolio has these long

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<v Speaker 1>periods when there's a bolt market and people are doing really,

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<v Speaker 1>really well. But that's when we're just trying to stay

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<v Speaker 1>static and not not really make or lose a lot

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<v Speaker 1>of money. Um. But when we end up having that

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<v Speaker 1>twenty brought down draw down a market crash, that's when

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<v Speaker 1>we want to really shine and do do particularly well.

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<v Speaker 1>And uh So, to that effect, you can you can

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<v Speaker 1>think of us as a hedge, but we we like

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<v Speaker 1>to look at ourselves as a hedge that pays you

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<v Speaker 1>to own it through the business stuffle. Right, So you

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<v Speaker 1>mentioned creating value out of chaos, and I'm trying to

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<v Speaker 1>think how to phrase this question. But why did chaos

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<v Speaker 1>or volatility become your thing or your area of expertise

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<v Speaker 1>or focus a long time ago? Uh Now, I train

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<v Speaker 1>myself with the c s A, I PAS the CFA program.

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<v Speaker 1>I worked at Merrill Lynch in my early days, and I,

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<v Speaker 1>like most people, began starting out and value investing and

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<v Speaker 1>I looked at all these different strategies like like value

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<v Speaker 1>and momentum and all these different financial products, and I

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<v Speaker 1>really kind of looked at them the way that an

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<v Speaker 1>alien would looking look at different looking at different return streams,

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<v Speaker 1>whether you're talking about credit or value investing. These are

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<v Speaker 1>mean reversion strategies. And then there are strategies like global

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<v Speaker 1>macro and c t A s that make money off

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<v Speaker 1>of prend or divergencies, divergences and change. So I came

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<v Speaker 1>to this conclusion that really there were only two at

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<v Speaker 1>A classes in actuality, long and short volatility. There's people

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<v Speaker 1>that say is volatility asset classes, saying volatility is the

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<v Speaker 1>only ethic class because in a crisis, people have all

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<v Speaker 1>of these these different strategies in their portfolio. But in

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<v Speaker 1>a crisis, these strategies end up looking a lot like

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<v Speaker 1>a short volatility strategy, a strategy that is that ends

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<v Speaker 1>up doing particularly bad during draw downs, and all of

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<v Speaker 1>these different diversification ends up being correlated with one another,

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<v Speaker 1>and then you end up having a strategy that is

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<v Speaker 1>particularly fragile to change. So institutional investors, individual investors in essence,

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<v Speaker 1>kid themselves into believing that they have all these different

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<v Speaker 1>asset classes when n actuality, they're just crowding into strategies

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<v Speaker 1>that are that are fragile to change in the market,

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<v Speaker 1>and that the true diversification is actually finding strategies that

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<v Speaker 1>are long volatility or strategies that that make money from change,

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<v Speaker 1>and that when you look at the world in this lens,

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<v Speaker 1>there there are really there's really only one asset class,

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<v Speaker 1>and volatility is the only real asset class in a

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<v Speaker 1>sense of replicating returns chris In theory, this idea of

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<v Speaker 1>having assets or having diversification that could pay off in

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<v Speaker 1>both long, heightened and reduced volatility is the premise behind

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<v Speaker 1>a lot of sort of do it yourself at home portfolios,

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<v Speaker 1>like buying a lot of stocks and buying a lot

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<v Speaker 1>of bonds, buying treasuries that you know, maybe pay off

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<v Speaker 1>a little bit a little bit extra money during the

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<v Speaker 1>good times button bad times bit up and are a

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<v Speaker 1>safe haven asset class when we get a surgeon volatility.

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<v Speaker 1>This arguably has worked well for the last few decades.

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<v Speaker 1>Do you think there's a reason that that won't work

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<v Speaker 1>in the future, and that the assets that seem to

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<v Speaker 1>have thrived in the past during heightened volatility won't do

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<v Speaker 1>so in the future. You know, it's a wonderful topic

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<v Speaker 1>to bring up because for the greater part of thirty years,

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<v Speaker 1>people have looked at the stock bond anti correlation and

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<v Speaker 1>have said, you know, why do I need to be

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<v Speaker 1>invested in something like long volatility or something that that

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<v Speaker 1>is exposed to change when I can just be invested

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<v Speaker 1>in fixed income because I know that bonds will go

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<v Speaker 1>up when stocks go down, and that has been true

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<v Speaker 1>for my entire life. But if we take a longer

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<v Speaker 1>history and look out one one hundred twenty years, and

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<v Speaker 1>I presented this evidence as far back, it's become a

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<v Speaker 1>popular thing to talk about now. But if you look

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<v Speaker 1>at some of Artemiss research dating back to two thousand fifteen.

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<v Speaker 1>Two fourteen, we talked about this at length, stocks and

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<v Speaker 1>bonds have actually spent more time correlated with them one another,

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<v Speaker 1>and they've spent anti correlated. There's been multiple periods in

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<v Speaker 1>history where stocks and bonds have dropped together for two

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<v Speaker 1>to three years at a time. This includes the early

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<v Speaker 1>nine hundreds, periods like in the fifties, and periods like

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<v Speaker 1>in the late seventies. So if I go to an

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<v Speaker 1>average financial advisor, out on the street and I say, what,

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<v Speaker 1>you know, I have a hundred thousand dollars. What should

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<v Speaker 1>I do with my money? That person is likely to say, well,

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<v Speaker 1>you put it in sixty stock bond split and then

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<v Speaker 1>the bonds will protect you when you're stocks too badly.

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<v Speaker 1>And if I have a little bit more money, I

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<v Speaker 1>can go to a very expensive financial advisor and they'll say,

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<v Speaker 1>you know what, we want you to lever the bonds

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<v Speaker 1>against the stocks because that's better on a market with

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<v Speaker 1>risk reward framework efficient frontier. That's something called risk perry.

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<v Speaker 1>But if you look at these portfolios, they performed very

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<v Speaker 1>very well over the last thirty years. But if we

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<v Speaker 1>look out over a hundred years, there are multiple free

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<v Speaker 1>year periods where these portfolios would have had massive drawdowns,

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<v Speaker 1>massive drawdowns in some instances for risk parity, even even

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<v Speaker 1>career ending drawdowns. So this assumption that stocks and bonds

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<v Speaker 1>will always be anti correlated is a very very dangerous assumption.

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<v Speaker 1>And I think all one has to do to prove

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<v Speaker 1>this is look look across history. Now, if yields were

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<v Speaker 1>all the way up at you know, ten, as they

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<v Speaker 1>were in the late seventies, you could sit back and say, well,

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<v Speaker 1>there's room for bonds to perform uh in the event

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<v Speaker 1>stocks drop. But if we think about what it would

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<v Speaker 1>take for treasury bonds to perform as well as they

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<v Speaker 1>did during the last recession, we'd have to have treasury

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<v Speaker 1>yields go all the way down to negative two. I'm

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<v Speaker 1>not saying that that's not possible, but I'm just saying

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<v Speaker 1>that's highly improbable. And if you're this is the baseline

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<v Speaker 1>assumption from which trillions of dollars of asset allocation decisions

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<v Speaker 1>are made upon this, this assumption on the stock bond

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<v Speaker 1>at a correlation. So this this makes alternative forms of

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<v Speaker 1>defense like volatility, like smart global mackerel very very important

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<v Speaker 1>at this particular juncture in the cycle. I think it's

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<v Speaker 1>very important that people understand that the stock bond, the

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<v Speaker 1>assumption that bonds can be a form of defense for you,

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<v Speaker 1>is particularly dangerous at this stage of the market cycle,

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<v Speaker 1>when most yields are at their zero bound. Right. So

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<v Speaker 1>the argument here is that when most people talk about

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<v Speaker 1>being short volatility, there's an assumption that they're explicitly short

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<v Speaker 1>volatility by for instance, you know, buying VIX related exchange

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<v Speaker 1>traded products or something like that. But you're saying that

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<v Speaker 1>there are big parts of the market that are implicitly

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<v Speaker 1>short vall through an assumption of existing relationships like the

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<v Speaker 1>correlation between bonds and stocks. Are there other things that

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<v Speaker 1>you think are implicitly short vall in the market. Absolutely.

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<v Speaker 1>One of my papers I talked a little bit about

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<v Speaker 1>the short ball trade as being like an oboros or

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<v Speaker 1>the classic image of a snake devouring its own tail

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<v Speaker 1>um And this is this is how I like to

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<v Speaker 1>visualize modern markets today, this financial outcomy driving markets higher

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<v Speaker 1>and volatility lower. The global short vall trade now represents

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<v Speaker 1>an estimated to trillion dollars in financial engineering strategies. And

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<v Speaker 1>these strategies that I deem as short volatility simultaneous exert

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<v Speaker 1>influence and are influenced by volatility. This includes what I

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<v Speaker 1>would deem about sixty billion dollars of explicit short fall

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<v Speaker 1>exposure and another one point four trillion dollars worth of

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<v Speaker 1>implicit So what do I mean by the difference between

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<v Speaker 1>explicit and implicit short fall? Well s, Explicit short fall

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<v Speaker 1>tends to be the weak hands at the table. These

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<v Speaker 1>are These are traitors or their institutions that are actually

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<v Speaker 1>shorting volatively This is where you're actually going out and

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<v Speaker 1>shorting a vixed future, where you're actually going out and

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<v Speaker 1>you're rolling. Are you doing a by right overwrite program.

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<v Speaker 1>You're actually shorting your shorting calls or your shorting puts

0:13:46.360 --> 0:13:49.640
<v Speaker 1>to earn extra income UM. It involves actually selling a

0:13:49.679 --> 0:13:52.920
<v Speaker 1>derivative UM. I think most people are aware of this,

0:13:53.000 --> 0:13:55.560
<v Speaker 1>but this is actually the smallest component of the short

0:13:55.600 --> 0:13:59.920
<v Speaker 1>alter rate. The much much bigger component of the short

0:14:00.000 --> 0:14:04.960
<v Speaker 1>all trade, the trillion dollar plus component of it, is

0:14:05.000 --> 0:14:09.520
<v Speaker 1>what I call implicit short fall. When you are when

0:14:09.559 --> 0:14:13.800
<v Speaker 1>you are sorting an option, you are taking on the

0:14:13.840 --> 0:14:18.840
<v Speaker 1>assumption of stability, and that assumption of stability expresses itself

0:14:18.880 --> 0:14:23.480
<v Speaker 1>through various risk profiles that can be expressed in uh

0:14:23.520 --> 0:14:28.920
<v Speaker 1>these esoteric Greek terms that we use. But long story short,

0:14:29.520 --> 0:14:33.520
<v Speaker 1>you're taking the assumption of that volatility and markets will

0:14:33.560 --> 0:14:36.520
<v Speaker 1>be stable. You're taking the assumption that there's not going

0:14:36.600 --> 0:14:38.800
<v Speaker 1>to be any jump risk. This is something we've option

0:14:38.840 --> 0:14:42.080
<v Speaker 1>traders are called gamma. You're taking the assumption that there's

0:14:42.080 --> 0:14:44.840
<v Speaker 1>not going to be rising interest rates UM, and you're

0:14:45.480 --> 0:14:49.800
<v Speaker 1>taking assumption that there will be stable cross asset correlations.

0:14:49.840 --> 0:14:55.040
<v Speaker 1>These implicit short fall strategies replicate the payoff of a

0:14:55.120 --> 0:15:00.720
<v Speaker 1>portfolio of short options by creating these similar exposures. So

0:15:00.760 --> 0:15:04.680
<v Speaker 1>these would include strategies like ball targeting funds, which are

0:15:04.840 --> 0:15:07.680
<v Speaker 1>a short gamma in the market, their short volatility and

0:15:07.680 --> 0:15:11.000
<v Speaker 1>their short gamma. These would include strategies like risk parity

0:15:11.040 --> 0:15:14.760
<v Speaker 1>which are implicitly short gamma and short correlation. So even

0:15:14.760 --> 0:15:19.720
<v Speaker 1>though these strategies may not be directly selling volatility, they

0:15:19.760 --> 0:15:25.240
<v Speaker 1>are implicitly replicating the exposure of a portfolio of short options.

0:15:26.120 --> 0:15:28.800
<v Speaker 1>And you know what, one of the greatest examples of

0:15:28.920 --> 0:15:33.080
<v Speaker 1>an implicit short ball trade in history was actually was

0:15:33.200 --> 0:15:40.680
<v Speaker 1>the portfolio insurance debacle of portfolio insurance was implicitly um

0:15:40.880 --> 0:15:44.400
<v Speaker 1>short some of these exposures of a short option portfolio,

0:15:44.480 --> 0:15:47.720
<v Speaker 1>even though it was never actually shorting a put or

0:15:47.720 --> 0:15:51.760
<v Speaker 1>a call option. Um So, I think many of these strategies,

0:15:51.880 --> 0:15:55.120
<v Speaker 1>ranging from the the financial engineering of share by backs,

0:15:55.600 --> 0:15:59.320
<v Speaker 1>to certain risk premious strategies, to certain ball targeting strategies,

0:15:59.560 --> 0:16:04.440
<v Speaker 1>to certain risk parity strategies, which are comprising a very

0:16:04.560 --> 0:16:09.960
<v Speaker 1>large portion of the institutional flows in equity markets today,

0:16:10.440 --> 0:16:14.720
<v Speaker 1>are replicating the payoffs of a short straddle. And this

0:16:14.840 --> 0:16:18.520
<v Speaker 1>presents a layer of embedded and very hidden risk that

0:16:18.560 --> 0:16:36.320
<v Speaker 1>people aren't fully taking into consideration. Chris, I don't want

0:16:36.360 --> 0:16:40.960
<v Speaker 1>to get too philosophical here, but whenever I think about this,

0:16:41.120 --> 0:16:45.080
<v Speaker 1>I start my mind starts to drift beyond mere financial markets,

0:16:45.160 --> 0:16:48.480
<v Speaker 1>and I always think about like, isn't life and living

0:16:48.720 --> 0:16:54.320
<v Speaker 1>in a society implicitly short volatility? I take a job,

0:16:55.120 --> 0:16:57.880
<v Speaker 1>there's no guarantee that that job will last. But as

0:16:57.920 --> 0:17:00.800
<v Speaker 1>long as sort of things more or less function as

0:17:00.800 --> 0:17:03.240
<v Speaker 1>they are, I keep my job, I buy a house.

0:17:03.640 --> 0:17:06.000
<v Speaker 1>There's no guarantee that there's not going to be some

0:17:06.119 --> 0:17:09.320
<v Speaker 1>freak fire or war in the area. But if there is,

0:17:09.440 --> 0:17:14.400
<v Speaker 1>then of course that's completely potentially destroyed. Like isn't aren't

0:17:14.440 --> 0:17:17.240
<v Speaker 1>we all always going to be as long as we're

0:17:17.240 --> 0:17:24.479
<v Speaker 1>functioning members of society sort of all implicitly short volatility? Well,

0:17:24.480 --> 0:17:26.040
<v Speaker 1>you know, Joe, it's it's funny you mentioned this, and

0:17:26.080 --> 0:17:29.480
<v Speaker 1>I could ask this question a lot because I actually

0:17:29.520 --> 0:17:32.000
<v Speaker 1>wear a watch that counts time backwards to my to

0:17:32.080 --> 0:17:36.600
<v Speaker 1>my death, So so that gets some perspective on the

0:17:36.720 --> 0:17:40.280
<v Speaker 1>issue the world. I guess that's right. I look at

0:17:40.320 --> 0:17:43.640
<v Speaker 1>myself as a call option, you know, and I by

0:17:43.760 --> 0:17:47.320
<v Speaker 1>there's an element of of time exposure. That's ticking off.

0:17:47.560 --> 0:17:50.120
<v Speaker 1>We are a short time and that's that's a form

0:17:50.160 --> 0:17:54.120
<v Speaker 1>of short fall. There are ways in our lives that

0:17:54.200 --> 0:17:59.160
<v Speaker 1>we make ourselves and I fragile and in less exposed

0:17:59.240 --> 0:18:03.240
<v Speaker 1>to the whims change. You know, certainly, if by by

0:18:03.280 --> 0:18:07.479
<v Speaker 1>a process of self education and by learning, learning, um

0:18:07.560 --> 0:18:12.320
<v Speaker 1>and reading and continually educating yourself, you are making a

0:18:12.359 --> 0:18:15.600
<v Speaker 1>long volatility trade. By meditating and taking care of your health,

0:18:15.640 --> 0:18:18.720
<v Speaker 1>you're making a long volatility trade. By having lots of

0:18:18.920 --> 0:18:22.040
<v Speaker 1>meaningful connections in your life and knowing a lot of

0:18:22.080 --> 0:18:26.840
<v Speaker 1>individuals um that that can provide good contexts and good

0:18:26.840 --> 0:18:31.880
<v Speaker 1>healthy relationships. These are these are ways to be long volatility.

0:18:31.920 --> 0:18:34.320
<v Speaker 1>But almost certainly most of what we do in life

0:18:34.359 --> 0:18:37.960
<v Speaker 1>has an element of of of short vall exposure, and

0:18:38.200 --> 0:18:41.159
<v Speaker 1>the biggest one of course being time that is the

0:18:41.560 --> 0:18:45.600
<v Speaker 1>only true currency and the most fragile one. So is

0:18:45.640 --> 0:18:49.720
<v Speaker 1>the implication here that overall people should think about the

0:18:49.840 --> 0:18:53.520
<v Speaker 1>role of financial markets and investing sort of differently than

0:18:53.560 --> 0:18:57.080
<v Speaker 1>they do, because I think like basically people see, they

0:18:57.119 --> 0:18:59.560
<v Speaker 1>go about their lives and they make money from their jobs,

0:19:00.040 --> 0:19:03.479
<v Speaker 1>and then to some extent, the role of investing in

0:19:03.520 --> 0:19:06.400
<v Speaker 1>the market is to augment that and to turn their

0:19:06.440 --> 0:19:08.879
<v Speaker 1>savings into even more and to make even more money

0:19:08.880 --> 0:19:12.399
<v Speaker 1>than they would just get from labor income. It sounds

0:19:12.440 --> 0:19:16.320
<v Speaker 1>like the implication is that, for you, since most of

0:19:16.320 --> 0:19:19.919
<v Speaker 1>our lives are going about being short vall that to

0:19:20.000 --> 0:19:23.239
<v Speaker 1>some extent, we should really rethink what the purpose of

0:19:23.280 --> 0:19:26.160
<v Speaker 1>investing money is and that it should be more like

0:19:26.680 --> 0:19:31.000
<v Speaker 1>a general lifeheage. I absolutely think that one of the

0:19:31.000 --> 0:19:34.480
<v Speaker 1>ways to look at savings is to to make yourself

0:19:34.840 --> 0:19:39.920
<v Speaker 1>and I fragile to turbulence, to give yourself options. So

0:19:40.160 --> 0:19:43.720
<v Speaker 1>you know, it's amazing that the US is probably one

0:19:43.720 --> 0:19:48.040
<v Speaker 1>of the only cultures in the world where we assume growth.

0:19:48.800 --> 0:19:50.720
<v Speaker 1>I think my friend Jared Dillian has made this point

0:19:50.760 --> 0:19:54.000
<v Speaker 1>really well, that it's it's always assumed that the stock

0:19:54.040 --> 0:19:57.600
<v Speaker 1>market should always be going up, it's always assumed that

0:19:57.720 --> 0:19:59.720
<v Speaker 1>earnings per share should always be going up. Now, that's

0:19:59.720 --> 0:20:04.120
<v Speaker 1>been a fantastic assumption to bet on over the last

0:20:04.119 --> 0:20:07.080
<v Speaker 1>fifty years, um and maybe a wonderful assumption to been

0:20:07.119 --> 0:20:09.840
<v Speaker 1>on the next fifty years. But it's actually important to

0:20:09.880 --> 0:20:13.320
<v Speaker 1>understand it's it's it's quite unusual in the history of

0:20:13.400 --> 0:20:17.160
<v Speaker 1>most most nations. Most people don't have that philosophy. So

0:20:17.240 --> 0:20:20.159
<v Speaker 1>the concept of being able to provide a sense of

0:20:20.160 --> 0:20:24.800
<v Speaker 1>savings is not necessarily to to lever up your lifestyle,

0:20:24.880 --> 0:20:28.200
<v Speaker 1>but it should be too to give you an ability

0:20:28.320 --> 0:20:31.119
<v Speaker 1>to to be your highest self. The money and saving

0:20:31.119 --> 0:20:35.560
<v Speaker 1>should be a form of of antifragility. Um Cash itself

0:20:35.600 --> 0:20:39.119
<v Speaker 1>provides optionality, So I want to be an in the

0:20:39.160 --> 0:20:42.200
<v Speaker 1>money call option. That's how I'm going to start thinking

0:20:42.240 --> 0:20:46.000
<v Speaker 1>of myself. So I want to get back to that

0:20:46.200 --> 0:20:50.359
<v Speaker 1>short volatility idea, because of course, in February we had

0:20:50.720 --> 0:20:54.439
<v Speaker 1>this volumit getting occurrence where we saw a lot of

0:20:54.520 --> 0:20:59.880
<v Speaker 1>explicitly short voll strategies like VIX related exchange traded notes

0:21:00.040 --> 0:21:03.960
<v Speaker 1>and products blow up, and there was a theory that

0:21:04.040 --> 0:21:06.639
<v Speaker 1>when they blew up, they basically had to hedge, and

0:21:06.720 --> 0:21:11.040
<v Speaker 1>so they started pushing up the VIX index itself, and

0:21:11.119 --> 0:21:14.639
<v Speaker 1>that kind of caused investors to get even more nervous,

0:21:14.680 --> 0:21:17.159
<v Speaker 1>and then the VIX would go up even more and

0:21:17.320 --> 0:21:20.480
<v Speaker 1>the exchange traded notes would have to hedge even more.

0:21:20.560 --> 0:21:23.280
<v Speaker 1>So you have this feedback loop that ended up making

0:21:23.280 --> 0:21:26.320
<v Speaker 1>the whole thing really really painful for a lot of people.

0:21:27.200 --> 0:21:30.639
<v Speaker 1>I think you mentioned one point for trillion dollars for

0:21:30.800 --> 0:21:37.280
<v Speaker 1>your implicit shortfall strategies. So I'm wondering, could we get

0:21:37.320 --> 0:21:41.960
<v Speaker 1>a sort of self reflexive feedback loop in implicit shortfall

0:21:42.000 --> 0:21:45.600
<v Speaker 1>strategies And if we did, how bad would that be

0:21:45.880 --> 0:21:49.720
<v Speaker 1>for the overall market? Well, if we look at the

0:21:49.760 --> 0:21:54.080
<v Speaker 1>cause of this main problem. So today trillions of dollars

0:21:54.080 --> 0:21:57.159
<v Speaker 1>in central bank stimulus share by back systematic strategies are

0:21:57.200 --> 0:22:01.320
<v Speaker 1>based on market volatility as a key decision metork for leverage.

0:22:02.320 --> 0:22:06.160
<v Speaker 1>So what we think we know about volatility is pretty

0:22:06.240 --> 0:22:09.720
<v Speaker 1>much all wrong. Uh you know the MARKO it's modern

0:22:09.760 --> 0:22:13.760
<v Speaker 1>portfolio theory conceives volatility as some external measurement of the

0:22:13.800 --> 0:22:18.360
<v Speaker 1>intrinsic risk and asset. And this is a highly flawed concept,

0:22:18.400 --> 0:22:21.959
<v Speaker 1>even though it's wildly taught in MBA and financial engineering programs,

0:22:22.680 --> 0:22:27.400
<v Speaker 1>because it views volatility as an exogenous measurement of risk.

0:22:27.960 --> 0:22:29.760
<v Speaker 1>So this is extended sort of like the way a

0:22:29.800 --> 0:22:33.880
<v Speaker 1>sports commentator sees strikeouts and shots on goal. It's sort

0:22:33.880 --> 0:22:37.000
<v Speaker 1>of a statistic measuring past outcomes of a game to

0:22:37.040 --> 0:22:41.800
<v Speaker 1>keep score, but that somehow exists externally from the game.

0:22:42.840 --> 0:22:45.240
<v Speaker 1>But the problem is that volatility isn't just keeping score.

0:22:46.320 --> 0:22:48.920
<v Speaker 1>It's a player on the field now massively affecting the

0:22:48.960 --> 0:22:50.960
<v Speaker 1>outcome of the game itself in real time at a

0:22:51.080 --> 0:22:55.000
<v Speaker 1>level that's never been seen before. The last time we

0:22:55.000 --> 0:23:00.760
<v Speaker 1>we saw something like this was leading into and back

0:23:00.800 --> 0:23:05.680
<v Speaker 1>then the short volatility dynamic of portfolio insurance. What's really

0:23:05.680 --> 0:23:10.360
<v Speaker 1>only about two percent of the market today. Today, these

0:23:10.359 --> 0:23:15.640
<v Speaker 1>short volatility strategies comprise upboards of ten of the overall market. Now,

0:23:15.680 --> 0:23:20.720
<v Speaker 1>that doesn't mean that we're likely to have another type

0:23:20.720 --> 0:23:25.119
<v Speaker 1>of crash in a day, but it does make the

0:23:25.160 --> 0:23:29.720
<v Speaker 1>probability of some event like that much much greater. These

0:23:29.760 --> 0:23:33.639
<v Speaker 1>short volatility strategies are like a barrel of nitro glycerin

0:23:34.840 --> 0:23:38.280
<v Speaker 1>sitting in your offices. Now I can walk over to

0:23:38.320 --> 0:23:42.560
<v Speaker 1>your offices in Bloomberg and I can sit back and say, hey, guys,

0:23:42.800 --> 0:23:45.720
<v Speaker 1>you know Joe Tracy, what's what's in that barrel? And

0:23:45.840 --> 0:23:49.919
<v Speaker 1>be like, Oh, it's, uh, just some nitroglycerin. Be like,

0:23:50.040 --> 0:23:53.119
<v Speaker 1>isn't that highly explosive? Could it blow up several city blocks?

0:23:54.080 --> 0:23:55.479
<v Speaker 1>Oh no, it's it's not a big deal. It's been

0:23:55.480 --> 0:23:57.479
<v Speaker 1>there for for years. It's been in factually, we've been

0:23:57.480 --> 0:23:59.919
<v Speaker 1>adding to the stockpile of it for years. The banks

0:24:00.040 --> 0:24:04.560
<v Speaker 1>pay off a healthy yield to store it here, and

0:24:04.600 --> 0:24:07.119
<v Speaker 1>I'm like, my god, this is scary, this could this

0:24:07.160 --> 0:24:10.480
<v Speaker 1>could blow up. And then you just say, well, haven't

0:24:10.480 --> 0:24:12.679
<v Speaker 1>blown up for years on end, and you know what,

0:24:12.800 --> 0:24:16.200
<v Speaker 1>it may never blow up. Risk does not necessariate outcome.

0:24:17.160 --> 0:24:20.439
<v Speaker 1>But if you have a fire that starts somewhere else,

0:24:21.280 --> 0:24:24.000
<v Speaker 1>and that fire gets larger and larger and larger, it

0:24:24.040 --> 0:24:27.040
<v Speaker 1>may touch that barrel of nitricglysra in and what starts

0:24:27.080 --> 0:24:30.440
<v Speaker 1>out as a as a regular fire could explode outwards

0:24:30.880 --> 0:24:33.960
<v Speaker 1>into something that blows up several city blocks. That's what

0:24:34.000 --> 0:24:38.800
<v Speaker 1>happened in where we had a routine market correction. Market

0:24:38.880 --> 0:24:42.760
<v Speaker 1>was down, and then that caused the barrel of nitric

0:24:42.800 --> 0:24:46.159
<v Speaker 1>glycerim known as portfolio in, starts to blow up and

0:24:46.240 --> 0:24:50.760
<v Speaker 1>drop the market. One day, we could see something very similar.

0:24:51.640 --> 0:24:56.800
<v Speaker 1>It's a fundamental credit crunch. Liquidity and leverage crunch intercedes

0:24:57.080 --> 0:24:59.959
<v Speaker 1>with these short volatility strategies the way that they're currently

0:25:00.000 --> 0:25:03.080
<v Speaker 1>composed in the market. Chris, I just want to point

0:25:03.119 --> 0:25:07.320
<v Speaker 1>out that your theoretical story about us having nitroglycer and

0:25:07.359 --> 0:25:10.520
<v Speaker 1>barrels in the office is not as ridiculous as it sounds.

0:25:10.520 --> 0:25:13.040
<v Speaker 1>Because I used to sit next to Tracy and she

0:25:13.200 --> 0:25:15.800
<v Speaker 1>literally had a mini barrel of oil sitting on her

0:25:15.840 --> 0:25:18.919
<v Speaker 1>desk for a long time. So are sort of like

0:25:19.160 --> 0:25:24.280
<v Speaker 1>internal risk management practices with dangerous substances in the office.

0:25:24.320 --> 0:25:27.240
<v Speaker 1>Is not quite as outlandish as maybe you thought. I

0:25:27.240 --> 0:25:30.040
<v Speaker 1>want to ask one last question I think is right key,

0:25:30.040 --> 0:25:32.480
<v Speaker 1>and it touches on something you said in the very beginning.

0:25:33.000 --> 0:25:34.840
<v Speaker 1>You know, it's very easy to come up with sort

0:25:34.840 --> 0:25:40.879
<v Speaker 1>of naive long volatility strategy strategies. You could uh, you know,

0:25:41.000 --> 0:25:44.480
<v Speaker 1>buy puts that pay off in the event of a

0:25:44.560 --> 0:25:47.920
<v Speaker 1>massive draw down, or you could just go along the vix.

0:25:48.160 --> 0:25:51.680
<v Speaker 1>But we know that these are really costly strategies and

0:25:52.000 --> 0:25:55.840
<v Speaker 1>keeping it very simple like that doesn't really pay off.

0:25:55.920 --> 0:25:57.879
<v Speaker 1>You could really lose a lot of money fast. So

0:25:57.960 --> 0:26:00.560
<v Speaker 1>you talked about how the goal at to this is

0:26:00.600 --> 0:26:03.399
<v Speaker 1>not just to provide a classical hedge, but do you

0:26:03.520 --> 0:26:06.960
<v Speaker 1>actually make money over the whole cycle. So can you

0:26:07.000 --> 0:26:10.480
<v Speaker 1>talk a little bit about how you go about sort

0:26:10.480 --> 0:26:16.240
<v Speaker 1>of identifying long volatility strategies that don't kill you during

0:26:16.280 --> 0:26:20.480
<v Speaker 1>the weight during the low volatility periods. Sure, it's it's hard.

0:26:21.560 --> 0:26:25.320
<v Speaker 1>It's really hard to do, and I think that's why

0:26:25.480 --> 0:26:28.520
<v Speaker 1>why Actually, you know what we spend we have. We've

0:26:28.520 --> 0:26:31.440
<v Speaker 1>spent all day and all night thinking about this. So

0:26:31.520 --> 0:26:35.160
<v Speaker 1>I think it takes it takes a specialist to be

0:26:35.240 --> 0:26:39.200
<v Speaker 1>a little crazy, a little cookie, to focused on this

0:26:39.280 --> 0:26:41.400
<v Speaker 1>day in and day day out, because you know, it's

0:26:41.440 --> 0:26:43.359
<v Speaker 1>it's one of those strategies where you don't see the

0:26:43.359 --> 0:26:47.000
<v Speaker 1>payoffs every day. But there's a couple of different routes

0:26:47.119 --> 0:26:52.199
<v Speaker 1>that you can use to execute this, and and some

0:26:52.280 --> 0:26:54.359
<v Speaker 1>of the tricks that we use UM we look for

0:26:54.400 --> 0:26:59.919
<v Speaker 1>opportunities when we're paid to own connexity, So we're analyzed

0:27:00.160 --> 0:27:06.080
<v Speaker 1>markets every single day using computer algorithms. And when you know,

0:27:06.119 --> 0:27:07.560
<v Speaker 1>if I sit back and said, you know, Joe, would

0:27:07.560 --> 0:27:10.480
<v Speaker 1>you would you like to buy some car insurance? You'd

0:27:10.480 --> 0:27:12.240
<v Speaker 1>be like, and I don't really need car insurance. And

0:27:12.240 --> 0:27:14.920
<v Speaker 1>I'll be like, well, what if I pay you ten

0:27:14.960 --> 0:27:17.919
<v Speaker 1>dollars to own car insurance but you only get it

0:27:17.960 --> 0:27:21.080
<v Speaker 1>for free days? Would you then want to own car

0:27:21.080 --> 0:27:24.360
<v Speaker 1>insurance if I pay you to own it? Be're like, yeah, yeah, sure.

0:27:24.720 --> 0:27:28.440
<v Speaker 1>Well sometimes in markets you're able to to buy portfolio

0:27:28.520 --> 0:27:32.480
<v Speaker 1>insurance very inexpensively or get paid to carry it, but

0:27:32.600 --> 0:27:35.840
<v Speaker 1>you have to be very quick and nimble and UM

0:27:35.880 --> 0:27:39.040
<v Speaker 1>agile to find those opportunities. The other opportunities is you

0:27:39.080 --> 0:27:40.920
<v Speaker 1>know we we if I look at it and you're

0:27:41.000 --> 0:27:43.200
<v Speaker 1>trying to figure out when a forest fire might break out,

0:27:44.240 --> 0:27:46.520
<v Speaker 1>you know, you you don't look at the spark that

0:27:46.720 --> 0:27:49.200
<v Speaker 1>lights the forest fire. You look at a myriad of

0:27:49.280 --> 0:27:54.280
<v Speaker 1>underlying conditions. So we're looking at when numerous or use

0:27:54.320 --> 0:27:56.400
<v Speaker 1>a tremendous amount of data and we crunch a lot

0:27:56.400 --> 0:27:59.560
<v Speaker 1>of that data to understand when is it opportune to

0:27:59.640 --> 0:28:02.439
<v Speaker 1>buy that portfolio insurance and when can we get in

0:28:02.800 --> 0:28:06.280
<v Speaker 1>um into positions where the probabilities are higher, even if

0:28:06.280 --> 0:28:09.439
<v Speaker 1>when we're carrying a negative lead, but it's worth it

0:28:09.520 --> 0:28:12.560
<v Speaker 1>too based on the probability set, and it requires crunching

0:28:12.560 --> 0:28:14.720
<v Speaker 1>a tremendous amount of data. So these are some of

0:28:14.760 --> 0:28:18.840
<v Speaker 1>the techniques that will use in order to find ways

0:28:18.880 --> 0:28:22.440
<v Speaker 1>to carry that exposure efficiently. And it's not an easy

0:28:22.480 --> 0:28:24.399
<v Speaker 1>thing to do. It takes a lot of time and

0:28:24.480 --> 0:28:26.919
<v Speaker 1>expertise and focus and a lot of data and a

0:28:26.920 --> 0:28:30.040
<v Speaker 1>lot of quantitative efforts to be able to manage that process.

0:28:30.640 --> 0:28:33.280
<v Speaker 1>All right, Chris, I'm afraid we're going to have to

0:28:33.359 --> 0:28:35.479
<v Speaker 1>leave it there, but thank you so much for coming on.

0:28:35.520 --> 0:28:37.760
<v Speaker 1>That was really great, Yeah, thank you. It's been been

0:28:37.760 --> 0:28:54.640
<v Speaker 1>a pleasure. I really appreciate it. So, Joe, I love

0:28:54.680 --> 0:28:57.880
<v Speaker 1>that conversation, and I'm going to start thinking of myself

0:28:57.920 --> 0:29:01.720
<v Speaker 1>as a call up and hopefully in the money call

0:29:01.960 --> 0:29:04.840
<v Speaker 1>call option. I really like it too. I think that

0:29:04.920 --> 0:29:07.680
<v Speaker 1>the you know, we've seen a lot of in the

0:29:07.720 --> 0:29:10.120
<v Speaker 1>post crisis period, the emergence of a lot of popular

0:29:10.200 --> 0:29:12.680
<v Speaker 1>like perma bearer types. You say, oh, everything is going

0:29:12.720 --> 0:29:15.800
<v Speaker 1>to blow up eventually because the fed and run for

0:29:15.840 --> 0:29:18.560
<v Speaker 1>the hills. And I feel like Chris had a slightly

0:29:18.680 --> 0:29:23.520
<v Speaker 1>more interesting perspective, and in particular his idea of well,

0:29:23.640 --> 0:29:27.640
<v Speaker 1>we're sort of uh, you know, implicitly short volatility all

0:29:27.680 --> 0:29:31.000
<v Speaker 1>over the place, and so the idea of seeing investing

0:29:31.160 --> 0:29:33.360
<v Speaker 1>as a reason to at least sort of get flat

0:29:33.440 --> 0:29:36.240
<v Speaker 1>volatility or more long volatility, the way he framed it,

0:29:36.280 --> 0:29:38.560
<v Speaker 1>I think made a lot of sense. Yeah, And I

0:29:38.600 --> 0:29:42.800
<v Speaker 1>think his point is that those volatility strategies, the low

0:29:42.880 --> 0:29:46.840
<v Speaker 1>vall strategies, tend to feed on themselves, and they tend

0:29:46.840 --> 0:29:50.280
<v Speaker 1>to sort of naturally cause the market to double down

0:29:50.360 --> 0:29:56.480
<v Speaker 1>on those positions. And so basically, maybe before the era

0:29:56.640 --> 0:29:59.360
<v Speaker 1>of low interest rates and central banks and lots and

0:29:59.400 --> 0:30:01.880
<v Speaker 1>lots of path some funds. You used to have markets

0:30:01.880 --> 0:30:04.880
<v Speaker 1>and investors that were sort of self limiting. Once things

0:30:04.920 --> 0:30:08.400
<v Speaker 1>got out of whack, eventually there'd be a correction and

0:30:08.520 --> 0:30:11.240
<v Speaker 1>things would get evened out for a little bit. And

0:30:11.320 --> 0:30:13.840
<v Speaker 1>I feel like what Chris is implying is that that

0:30:13.920 --> 0:30:17.800
<v Speaker 1>doesn't happen that much anymore. Stuff just stays sort of

0:30:17.880 --> 0:30:21.440
<v Speaker 1>imbalanced for much longer than it used to, and that

0:30:21.480 --> 0:30:24.920
<v Speaker 1>means that when it does finally correct, the correction is

0:30:24.960 --> 0:30:28.560
<v Speaker 1>more painful than it used to be. Yeah, it does

0:30:28.640 --> 0:30:31.920
<v Speaker 1>feel like maybe as investors overall are sort of sleep

0:30:31.960 --> 0:30:34.239
<v Speaker 1>walking into some big risks that they're not thinking of

0:30:34.280 --> 0:30:36.120
<v Speaker 1>because they think they have them all taken care of.

0:30:36.200 --> 0:30:39.200
<v Speaker 1>So they buy an index fund. So they're thinking, Okay,

0:30:39.200 --> 0:30:43.040
<v Speaker 1>I'm going to diversify away idiosyncratic risk of investing in

0:30:43.120 --> 0:30:46.000
<v Speaker 1>jewel stocks, and I'm going to buy a bunch of bonds,

0:30:46.080 --> 0:30:49.600
<v Speaker 1>so I'm going to diversify away macro risk because I

0:30:49.640 --> 0:30:51.680
<v Speaker 1>have some bonds. And then it's like, all right, I

0:30:51.760 --> 0:30:54.600
<v Speaker 1>bought this, said it, forget it by a little bit

0:30:54.640 --> 0:30:57.920
<v Speaker 1>every month, and then look at my portfolio when I retire, Like,

0:30:58.240 --> 0:31:01.520
<v Speaker 1>maybe it's not quite so simple, and maybe it's impossible

0:31:01.640 --> 0:31:04.760
<v Speaker 1>to just sort of people just sort of naively think

0:31:04.840 --> 0:31:07.040
<v Speaker 1>that they've taken care of what they need to do

0:31:07.160 --> 0:31:12.880
<v Speaker 1>to be good risk managers. Right, Okay, Well should be interesting, that,

0:31:13.000 --> 0:31:15.920
<v Speaker 1>shouldn't it. Yeah, No, absolutely, And you know, the one

0:31:15.960 --> 0:31:18.160
<v Speaker 1>thing I'll say though in the meantime is that we

0:31:18.240 --> 0:31:21.840
<v Speaker 1>have had these blow ups, but they so far it's

0:31:21.880 --> 0:31:24.760
<v Speaker 1>worth noting that the market gets by them. Like we

0:31:24.840 --> 0:31:28.280
<v Speaker 1>had the exchange traded products blow up earlier this year,

0:31:28.280 --> 0:31:30.440
<v Speaker 1>and we talked about it, but we didn't, you know,

0:31:30.480 --> 0:31:32.600
<v Speaker 1>and then it's sort of flushed out of the system

0:31:32.640 --> 0:31:35.120
<v Speaker 1>and it was okay. So I think the jury is

0:31:35.160 --> 0:31:38.240
<v Speaker 1>still out on whether the system is still you know,

0:31:38.320 --> 0:31:41.440
<v Speaker 1>sort of so filled with nitroglycerin that the big one

0:31:41.480 --> 0:31:44.480
<v Speaker 1>will come and there'll be this massive unwind. But maybe

0:31:44.480 --> 0:31:46.160
<v Speaker 1>we'll find out more in the next year or two.

0:31:48.160 --> 0:31:51.320
<v Speaker 1>Hopefully nothing and we'll have Chris. He could come back

0:31:51.320 --> 0:31:54.000
<v Speaker 1>and do a victory left the night choke lyscer in

0:31:54.440 --> 0:31:58.280
<v Speaker 1>metaphor is a little bit unnerving, there are right, ye,

0:31:59.400 --> 0:32:02.680
<v Speaker 1>a bit to us to home. This has been another

0:32:02.800 --> 0:32:06.320
<v Speaker 1>episode of the All Thoughts podcast. I'm Tracy Alloway. You

0:32:06.320 --> 0:32:09.480
<v Speaker 1>can follow me on Twitter at Tracy Alloway and I'm

0:32:09.560 --> 0:32:13.080
<v Speaker 1>Joe wisn'tal. You could follow me on Twitter at the Stalwart,

0:32:13.400 --> 0:32:16.680
<v Speaker 1>and you should follow our producer on Twitter. He's to

0:32:16.920 --> 0:32:20.240
<v Speaker 1>for foreheads and he's at foreheads T, as well as

0:32:20.280 --> 0:32:24.800
<v Speaker 1>the Bloomberg head of podcast, Francesco Levie at Francesco Today.

0:32:24.800 --> 0:32:25.600
<v Speaker 1>Thank you for listening.