WEBVTT - What the Dramatic Boom in Zero-Day Options Means for Stocks

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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 Tracy Alloway and I'm Joe wisn't Joe? Do you

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<v Speaker 1>remember armacgeddon? Oh? Wait, let me start over? I cried,

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<v Speaker 1>I cried, keep that. Do you remember Val mcgeddon. Uh? Yeah.

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<v Speaker 1>If you asked me exactly when that was twenty eighteen, okay,

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<v Speaker 1>I wouldn't have nested. Maybe I would have said twenty

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<v Speaker 1>seventeen or something, but yeah, something crazy happened. And like

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<v Speaker 1>so I think with the vvgs and some ETN or something.

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<v Speaker 1>I don't this is a moment in market I'm still laughing. Sorry.

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<v Speaker 1>This is a moment in market history that lives for

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<v Speaker 1>free in my head because it was a lot of

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<v Speaker 1>interesting things happened. So for those who might not remember

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<v Speaker 1>all the details, there were these two little volatility products

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<v Speaker 1>to exchange traded notes that basically ended up having this

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<v Speaker 1>huge impact on the market and specifically the volatility index,

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<v Speaker 1>the VIX. And so you had this kind of tail

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<v Speaker 1>wagging the dog scenario where you had two products that

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<v Speaker 1>ended up impacting the overall market. Yeah, and you know

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<v Speaker 1>what was really notable about the post twenty ten environment

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<v Speaker 1>is that just keeping a steady short volatility trade on

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<v Speaker 1>was extremely profitable for years, and people sort of just

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<v Speaker 1>get rauled into it because, you know, by the dip

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<v Speaker 1>was like this sort of dominant thing. You had the

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<v Speaker 1>FED sort of on your side, typically playing some role

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<v Speaker 1>of you know, the FED put and all of that,

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<v Speaker 1>and you had the residual anxiety of the crisis. So

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<v Speaker 1>people were paying a large premium for protection, volatility protection.

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<v Speaker 1>So being a seller of that and sort of being

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<v Speaker 1>implicitly short volatility was just great until the one day

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<v Speaker 1>it wasn't. Well. This is why these two exchange traded

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<v Speaker 1>notes came into being in the first place. It was

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<v Speaker 1>because people wanted to be able to sell volatility, and

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<v Speaker 1>I remember they became very popular with a certain faction

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<v Speaker 1>of retail traders. There was even a sub credit called

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<v Speaker 1>a trade XIV, which was the name of one of

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<v Speaker 1>the notes. Yeah. Yeah, it has since rebranded to Trading

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<v Speaker 1>Vault because we had this vall mcgeddon situation and both

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<v Speaker 1>of these exchange traded notes ended up collapsing. So not

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<v Speaker 1>only did they sort of spark this wider move in

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<v Speaker 1>the market, but they ended up dying because of it.

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<v Speaker 1>What's interesting in retrospect and I hadn't really thought about this.

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<v Speaker 1>But what's interesting in retrospect about this story is that, Okay,

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<v Speaker 1>in twenty eighteen, the retail move was like, okay, trade

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<v Speaker 1>XIV or go along XIV, and that was sort of

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<v Speaker 1>like how people played this post twenty twenty. Now you

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<v Speaker 1>get the sense that retail is playing derivatives more directly,

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<v Speaker 1>particularly call options, and so then rather than some note

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<v Speaker 1>or instrument that implicitly did that. Now, of course, the

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<v Speaker 1>story of the Robin Hood and all that is lots

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<v Speaker 1>of people are just getting directly into options trading. That's right,

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<v Speaker 1>and the big story in options right now. And the

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<v Speaker 1>reason I brought up val mcgeddon not Armageddon, which thankfully

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<v Speaker 1>hasn't happened yet, is because eight thank you for the caveat.

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<v Speaker 1>You never know, all right. So the reason why we're

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<v Speaker 1>talking about val mcgeddon is because you have this new

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<v Speaker 1>type of option on the scene. They're called one day

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<v Speaker 1>or zero day options, a zero DTE or one DTE,

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<v Speaker 1>and they've kind of exploded in volumes in recent years,

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<v Speaker 1>and there's a lot of discussion about whether or not

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<v Speaker 1>they are going to lead to a similar val mcgeddon

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<v Speaker 1>type scenario where you have, you know, this small thing,

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<v Speaker 1>although they're not that small anymore, but you have this

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<v Speaker 1>small instrument that ends up having a cascade effect on

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<v Speaker 1>the market and leading to a bigger effect on the

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<v Speaker 1>SMP five hundred, the benchmark index. Right, And as always

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<v Speaker 1>there are these concerns that any sort of derivative instrument

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<v Speaker 1>which is you know, might be used for hedging purposes,

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<v Speaker 1>could have this feedback loop. And of course the classic

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<v Speaker 1>there's like nineteen eighty seven and yeah, and the Stock

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<v Speaker 1>market Insurance sort of they called it. And the other

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<v Speaker 1>thing you note, and this is sort of what's interesting

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<v Speaker 1>to me and why we're talking about this. It's like,

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<v Speaker 1>in twenty twenty one, I think we had a very

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<v Speaker 1>good story for why there was so much of this

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<v Speaker 1>sort of zero data expery option trading. Right. This story

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<v Speaker 1>is like all of these new degenerate gamblers and they're

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<v Speaker 1>on robin hood and they're like trading these hypervolatile derivatives

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<v Speaker 1>that you know, they're short term bets and they're just

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<v Speaker 1>being swings. We've had this cool and off of speculative

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<v Speaker 1>activity over the last year, as clearly seen by prices, right,

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<v Speaker 1>you know, Bitcoin and arc and all these things have

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<v Speaker 1>come way down from their high and yet the level

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<v Speaker 1>of trading in these instruments is still very high, which

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<v Speaker 1>complicates the a story that oh, it's just a bunch

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<v Speaker 1>of like retailer at home gambler. I was about to say,

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<v Speaker 1>I think it hints that maybe it's not just retail

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<v Speaker 1>and this is something that I've written about on All

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<v Speaker 1>Loots and you should all check it out. And speaking

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<v Speaker 1>of what I wrote on a blots on the blog recently,

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<v Speaker 1>we were going to actually be speaking to the perfect guest.

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<v Speaker 1>We're going to be speaking with Nomura Cross Assets strategist

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<v Speaker 1>Charlie McElligott. He was the author of a very very

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<v Speaker 1>good research piece that I wrote up a couple months

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<v Speaker 1>ago and has been writing quite a lot about this topic.

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<v Speaker 1>So Charlie, thank you so much for coming on All thoughts.

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<v Speaker 1>Excited to be here, a long time listener, first time calling.

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<v Speaker 1>I love it. Maybe just to begin with talk to

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<v Speaker 1>us about what these options are exactly and how they

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<v Speaker 1>came into being and also their intended purpose, because I

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<v Speaker 1>think nowadays people talk about them as oh, it's part

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<v Speaker 1>of this speculative betting frenzy, but I assume they're supposed

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<v Speaker 1>to serve some sort of purpose. Absolutely, So you know,

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<v Speaker 1>I would I would almost start this conversation going backwards

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<v Speaker 1>by saying, look at the stock chart of the CBO

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<v Speaker 1>right now, right, which is almost a proxy on the

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<v Speaker 1>explosive growth and usage of options, you know, from the

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<v Speaker 1>investing community, whether it's institutions or retail investors, and it

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<v Speaker 1>does fit somewhat tidily with this larger kind of speculative

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<v Speaker 1>excess boom of the past two and a half three

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<v Speaker 1>years in that post crisis period, the Wall Street bets

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<v Speaker 1>stuff that you guys just spoke about, you know, the

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<v Speaker 1>stimmy checks and you know SPACs to crypto. You know,

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<v Speaker 1>this kind of new world of leveraged, highly convexed payouts

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<v Speaker 1>is a place where flows and money followed, and this

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<v Speaker 1>is the type of return profile that people are really

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<v Speaker 1>looking to looking to exploit in this day and age.

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<v Speaker 1>And in that sense, that's the unspoken portion of why

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<v Speaker 1>these are have been rolled out and offered. Now there's

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<v Speaker 1>daily expirations, there's an expiration for every day of the week,

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<v Speaker 1>and the zero DTE product is now almost one out

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<v Speaker 1>of two options the trade with the spy ETF for instance, right, So,

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<v Speaker 1>and you know effectively there too for large S and

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<v Speaker 1>P which is almost exclusively an institutional product, So the

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<v Speaker 1>demand is there. I think the official line, probably from

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<v Speaker 1>the exchanges, would be something to the effect of, we

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<v Speaker 1>want to offer the net end users more tools to

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<v Speaker 1>manage their risk, manage their liquidity profile, things of that nature.

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<v Speaker 1>And look, that is not wrong either. Right when did

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<v Speaker 1>CBO actually launch things? You know, kind of call it

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<v Speaker 1>mid last year? Okay, oh, okay, so they really have

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<v Speaker 1>not been around very long. So options, right, hedge risk,

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<v Speaker 1>that's what they're all about in theory, and someone like

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<v Speaker 1>maybe take some more spectative position. Someone needs the hedging,

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<v Speaker 1>they trade an option, etc. How do you go about

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<v Speaker 1>trying to decompose how the instrument is actually used and

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<v Speaker 1>how much is it from Okay, you have a large

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<v Speaker 1>portfolio manager that needs to hedge their downside, etc. Versus

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<v Speaker 1>how much of it is being driven by someone who

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<v Speaker 1>wants to make a bet on what Tesla will do tomorrow. Right,

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<v Speaker 1>that's a It's a great point, and I think that

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<v Speaker 1>is where you know at this point, you know myself,

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<v Speaker 1>my colleagues Anthony Antonucci and Johanna Wang have done some

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<v Speaker 1>pretty quality work here. I think unpacking that exact idea,

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<v Speaker 1>like just looking at open interest, just looking at volumes

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<v Speaker 1>themselves is not indicative of anything. Right, we need to

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<v Speaker 1>get a sense for you know, are the net end

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<v Speaker 1>users buying or selling these? Right? It speaks to the

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<v Speaker 1>macro regime, speaks to the volatility regime. Right, you could

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<v Speaker 1>say it to a certain extent looking back in the

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<v Speaker 1>kind of QE era, let's say where we did or

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<v Speaker 1>where FED was an active suppression of volatility mode large

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<v Speaker 1>scale asset purchases zero percent or negative interest rates. You know,

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<v Speaker 1>that was part of this idea. You create a wealth effect.

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<v Speaker 1>Financial conditions are easy. It's a growth tail end. All

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<v Speaker 1>that good stuff, virtuous stuff happens. The FED was telling

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<v Speaker 1>you to be leverage long assets. Right, so you had

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<v Speaker 1>a need for hedges to a certain extent. So like

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<v Speaker 1>a measure like skew right, which is a measure of

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<v Speaker 1>kind of downside demand relative to upside demand, like the

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<v Speaker 1>credit Swiss fear barometer right right to a certain extent

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<v Speaker 1>right so or or even you know specifically put skew,

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<v Speaker 1>which is like demand for a tailier or crashier put

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<v Speaker 1>relative to something closer to the money. Those measures were

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<v Speaker 1>very high skew was very steep back then because you're

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<v Speaker 1>long leverage, long assets, you needed downside protection. And this

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<v Speaker 1>gets to the point though of why selling valld xav

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<v Speaker 1>was so profitable, because if you have so much demand, right,

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<v Speaker 1>you have the structural demand for protection, lots of buyers,

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<v Speaker 1>a good market to be seller exactly. And what it does,

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<v Speaker 1>I mean the way that you look at volatility, it's

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<v Speaker 1>kind of different from this um you know. I It's

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<v Speaker 1>what I've learned from being in the vall space, specifically

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<v Speaker 1>within the Numero Equity drives desk for the last five years,

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<v Speaker 1>which is, you know, a top three market share player

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<v Speaker 1>in the US options space, is that it's it's a

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<v Speaker 1>consistent shuffling of your feet. You're trying to find value,

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<v Speaker 1>trying to find kighie convexed payouts right, which to a

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<v Speaker 1>certain extent, is why these options exist in the first place,

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<v Speaker 1>where there's so much demand for them. You know, you

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<v Speaker 1>have a kind of a defined risk, but a much

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<v Speaker 1>larger kind of multiple times implicit leverage you know on

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<v Speaker 1>the payout right if this thing you know strikes gold,

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<v Speaker 1>you know to a certain extent, so you're kind of

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<v Speaker 1>range trading when something is cheap, or when Vaula is

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<v Speaker 1>cheap is when you want to be adding protection. When

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<v Speaker 1>Valla is rich, that's typically when you want to you know,

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<v Speaker 1>flip positions and be you know, kind of short volatility

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<v Speaker 1>or short gamma. So those those are all part of

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<v Speaker 1>the calculus here. I think what matters then, However, in

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<v Speaker 1>this QT era right where the Fed has their hands

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<v Speaker 1>tied in light of the inflation overshoot, in light of

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<v Speaker 1>this dynamic where you know, they were clearly behind the curve.

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<v Speaker 1>I mean it was just a year ago at this

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<v Speaker 1>time they only stopped buying bonds, might you, Right before

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<v Speaker 1>they even began, you know, their first hike, they were

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<v Speaker 1>still buying bonds. So they've needed to tighten financial conditions.

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<v Speaker 1>They've needed to try everything they can in their limited

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<v Speaker 1>tool kit to address you know, the wealth effect that

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<v Speaker 1>was caused from these you know, legacy ten year plus

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<v Speaker 1>easy financial conditions, and that means cramping you know, the

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<v Speaker 1>demand side of inflation through tightening FCI. And in this case,

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<v Speaker 1>what QT has meant was a very simple trade and

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<v Speaker 1>that's why you know it was such a clear trend

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<v Speaker 1>in twenty twenty two. It was kind of like long

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<v Speaker 1>dollar in short assets. That's why like CTAs for instance,

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<v Speaker 1>were you know, thirty some percent, like there was a

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<v Speaker 1>very clear defined trend, the FED was effectively telling you

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<v Speaker 1>to be short assets. Right. What we saw then was

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<v Speaker 1>this trade that still kind of exists to this day,

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<v Speaker 1>even for the most recent Jerome pal commentary, which was

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<v Speaker 1>kind of this view that when you're in a in

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<v Speaker 1>a kind of a stretched equities valuation, the FED is

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<v Speaker 1>de facto a seller of calls at the low end

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<v Speaker 1>of the equities valuation. They don't want to market crash

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<v Speaker 1>per se either. Then they kind of talk you off

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<v Speaker 1>the ledge and they're a seller of puts. We're bouncing

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<v Speaker 1>around this range. But in QT right, in a QT

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<v Speaker 1>era where you know, they're shrinking the balance sheet, where

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<v Speaker 1>they're jacking up rates, they're trying to tighten financial conditions,

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<v Speaker 1>it kind of perversely creates this situation where you're being

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<v Speaker 1>told to be short assets. You actually don't need as

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<v Speaker 1>much hedge protection. So one of the big questions for

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<v Speaker 1>the last year like why is VIX so low? Right,

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<v Speaker 1>And that's part of this idea. If you don't have

0:12:50.760 --> 0:12:53.080
<v Speaker 1>a lot of exposure on you're sitting in high cash

0:12:53.120 --> 0:12:55.200
<v Speaker 1>you're sitting in low nets. You don't need a lot

0:12:55.240 --> 0:12:58.960
<v Speaker 1>of like crashy downside. This is such a that clicks.

0:12:59.000 --> 0:13:02.679
<v Speaker 1>This like finally feels like it clicks and answer. It's

0:13:02.679 --> 0:13:04.520
<v Speaker 1>like a big question. It makes so much sense, right

0:13:04.520 --> 0:13:06.319
<v Speaker 1>if you're if you're if the feed is telling you

0:13:06.320 --> 0:13:08.520
<v Speaker 1>hold more cash, don't be so leverage. Yeah, then you

0:13:08.559 --> 0:13:11.400
<v Speaker 1>sort of have your built in hedge already cash is

0:13:11.640 --> 0:13:31.040
<v Speaker 1>and at the money put it. Yeah. So just a

0:13:31.080 --> 0:13:33.320
<v Speaker 1>really basic question. I know you've done some research on this,

0:13:33.400 --> 0:13:36.679
<v Speaker 1>but what does the split actually look like between institutional

0:13:36.760 --> 0:13:40.319
<v Speaker 1>versus retail usage right now? Well, I think that's part

0:13:40.360 --> 0:13:43.760
<v Speaker 1>of some of the the you know, fuzzy assumption that

0:13:43.960 --> 0:13:47.720
<v Speaker 1>makes this an uncomfortable discussion. You know, I don't truly

0:13:47.840 --> 0:13:52.480
<v Speaker 1>trust men, whether it's you know, cash percentage of the

0:13:52.520 --> 0:13:56.520
<v Speaker 1>overall cash equities universe, or um you know, assumptions about

0:13:56.520 --> 0:13:58.559
<v Speaker 1>options trading. With regards of this idea of what is

0:13:58.640 --> 0:14:01.120
<v Speaker 1>retail versus institutional, I think a lot of people do

0:14:01.240 --> 0:14:04.640
<v Speaker 1>kind of a naive analysis looking at the size of

0:14:04.720 --> 0:14:06.960
<v Speaker 1>saying you know, as it pertains to the options discussion,

0:14:07.160 --> 0:14:10.360
<v Speaker 1>looking at the size of options contracts, and then you know,

0:14:10.480 --> 0:14:13.480
<v Speaker 1>under a certain threshold. They will kind of label those

0:14:14.240 --> 0:14:16.800
<v Speaker 1>as Okay, this is you know, retail type size, and

0:14:16.800 --> 0:14:19.920
<v Speaker 1>then you get this, you know, potentially false narrative. I

0:14:19.920 --> 0:14:23.840
<v Speaker 1>think the issue is that, particularly with this product, it's

0:14:23.880 --> 0:14:29.000
<v Speaker 1>an electronic options product, which means it's a market maker.

0:14:29.120 --> 0:14:31.320
<v Speaker 1>Is kind of the counterpart here. It's going to be

0:14:31.360 --> 0:14:33.440
<v Speaker 1>my next question you get into that. But and and

0:14:33.600 --> 0:14:37.880
<v Speaker 1>who who are the savvyest electronic options market makers with

0:14:37.920 --> 0:14:41.680
<v Speaker 1>the best algorithms, the best risk tools. It's these entities

0:14:41.720 --> 0:14:45.320
<v Speaker 1>that you know, you know, no no specific names necessarily

0:14:45.560 --> 0:14:49.760
<v Speaker 1>I'll use, but you know, are incredibly savvy with those algorithms.

0:14:49.800 --> 0:14:52.560
<v Speaker 1>They're slicing and dicing up their risk all day. So

0:14:52.600 --> 0:14:55.680
<v Speaker 1>you're not going to see huge, blocky types of flows

0:14:55.720 --> 0:14:58.280
<v Speaker 1>that you know you could typically pinpoint and say, you know,

0:14:58.720 --> 0:15:01.520
<v Speaker 1>because just because something is an odd lot does not

0:15:01.600 --> 0:15:04.480
<v Speaker 1>necessarily mean it's retail correct. I mean you're I mean

0:15:04.520 --> 0:15:07.880
<v Speaker 1>I well, in my in my past career, on a

0:15:07.920 --> 0:15:10.560
<v Speaker 1>cash desk when I started out of college, I sat

0:15:10.640 --> 0:15:13.840
<v Speaker 1>at a dot machine and I had a time schedule

0:15:13.920 --> 0:15:16.600
<v Speaker 1>for every minute of the day on a view op order,

0:15:16.680 --> 0:15:19.680
<v Speaker 1>a tuop order, I had to send down one hundred

0:15:19.720 --> 0:15:22.760
<v Speaker 1>and twenty shares at nine fifty nine at ten am,

0:15:22.800 --> 0:15:24.560
<v Speaker 1>I had to send down one hundred and forty shares

0:15:24.840 --> 0:15:27.000
<v Speaker 1>at right. I mean, that's how this thing works. You're

0:15:27.040 --> 0:15:29.880
<v Speaker 1>on a you know, this distribution curve, so that's kind

0:15:29.880 --> 0:15:32.600
<v Speaker 1>of imagine that now times like a much larger risk

0:15:32.680 --> 0:15:34.720
<v Speaker 1>order than you have. So I have a hard time

0:15:35.360 --> 0:15:39.320
<v Speaker 1>attributing retail institutional here. You know. One thing that I

0:15:39.360 --> 0:15:42.640
<v Speaker 1>will say is that recently, what you have seen which

0:15:42.680 --> 0:15:45.440
<v Speaker 1>proves out this idea that this clearly is an institutional

0:15:45.480 --> 0:15:48.640
<v Speaker 1>product by and large, is you have seen kind of

0:15:48.880 --> 0:15:52.880
<v Speaker 1>upstairs size premium spent, right, so the amount of money

0:15:53.000 --> 0:15:56.120
<v Speaker 1>that the net end user is spending up front to

0:15:56.280 --> 0:16:00.000
<v Speaker 1>directionally buy. In this case, recently we've seen some large

0:16:00.080 --> 0:16:03.680
<v Speaker 1>put buying. Right. This is again you're sort of like

0:16:03.760 --> 0:16:05.920
<v Speaker 1>leading into all my next questions. But this is an

0:16:05.960 --> 0:16:09.400
<v Speaker 1>unusual thing about these shorter dated options, which is that

0:16:09.520 --> 0:16:12.680
<v Speaker 1>I think the split between put volume versus call volume,

0:16:12.760 --> 0:16:17.480
<v Speaker 1>it's very skewed in one direction. Why is that? Well,

0:16:18.040 --> 0:16:21.200
<v Speaker 1>I think the simplest thing I would say right now,

0:16:21.200 --> 0:16:22.560
<v Speaker 1>and this will kind of go into some of the

0:16:22.600 --> 0:16:25.320
<v Speaker 1>work though our team has done to kind of assign

0:16:25.400 --> 0:16:29.280
<v Speaker 1>this idea and to kind of push back as it

0:16:29.320 --> 0:16:32.840
<v Speaker 1>currently stands, this is an ever evolving product. And look,

0:16:32.880 --> 0:16:35.080
<v Speaker 1>each day, I like to say, is its own ecosystem

0:16:35.120 --> 0:16:39.400
<v Speaker 1>now with these products. So there's not necessarily going to

0:16:39.400 --> 0:16:43.640
<v Speaker 1>be a carryover of prior day trend, but generally so

0:16:43.680 --> 0:16:46.160
<v Speaker 1>you could have a day where it's mostly puts where

0:16:46.280 --> 0:16:48.320
<v Speaker 1>which it has been so far, and then you could

0:16:48.360 --> 0:16:50.720
<v Speaker 1>have a day where it's mostly calls, well to a

0:16:50.760 --> 0:16:53.960
<v Speaker 1>certain extent. But this is the deal. This is kind

0:16:53.960 --> 0:16:56.840
<v Speaker 1>of at core of how these things are trading right now.

0:16:56.880 --> 0:17:01.520
<v Speaker 1>By and large, there's an inherent almost by definition mean

0:17:01.600 --> 0:17:06.400
<v Speaker 1>reversion flow from these things, because whatever you're putting on

0:17:06.640 --> 0:17:10.440
<v Speaker 1>intra day ultimately then if if it's moving in your

0:17:10.480 --> 0:17:14.240
<v Speaker 1>direction ultimately then needs to be unwound and monetized. So

0:17:14.560 --> 0:17:17.160
<v Speaker 1>the actual impact that you're getting. So let me walk

0:17:17.200 --> 0:17:20.359
<v Speaker 1>you through kind of the way that one we're identifying

0:17:20.760 --> 0:17:23.480
<v Speaker 1>these flows and trying to assign a buy or a cell.

0:17:24.320 --> 0:17:28.520
<v Speaker 1>The CBO handles options flows, let's say, for kind of

0:17:28.600 --> 0:17:32.760
<v Speaker 1>you know, index and ETF options type stuff, and what

0:17:32.800 --> 0:17:35.680
<v Speaker 1>we do is they assign a kind of an end

0:17:35.800 --> 0:17:39.760
<v Speaker 1>user tag, right, so there's kind of a broker dealer

0:17:39.840 --> 0:17:44.200
<v Speaker 1>traditional let's say like upstairs, big bank options tailers. Sorry,

0:17:44.240 --> 0:17:47.480
<v Speaker 1>just before we go on, what is I think it's

0:17:47.560 --> 0:17:51.160
<v Speaker 1>the second time you've said upstairs. What does that mean? Sure? Sure,

0:17:51.320 --> 0:17:56.760
<v Speaker 1>so just speaking to actual high touch sales traders and

0:17:57.000 --> 0:18:01.119
<v Speaker 1>risk takers, not necessarily on the floor of the exchanges, right,

0:18:01.200 --> 0:18:05.440
<v Speaker 1>but more associated with large balance sheet banks, the big stuff.

0:18:05.760 --> 0:18:08.520
<v Speaker 1>If we if we did a subscriber only version of

0:18:08.600 --> 0:18:12.240
<v Speaker 1>odd Lots, we could call it upstairs. Yeah, that's kind

0:18:12.359 --> 0:18:15.600
<v Speaker 1>that's kind of nice. So in this case, you know,

0:18:15.680 --> 0:18:20.840
<v Speaker 1>the broker dealer tag with these products is actually there's

0:18:20.880 --> 0:18:24.920
<v Speaker 1>no clear angle to these to these flows. Right. You

0:18:25.000 --> 0:18:28.120
<v Speaker 1>can see everything that they're trading in these zero DT options,

0:18:28.640 --> 0:18:30.760
<v Speaker 1>and some days they are long and some days they

0:18:30.760 --> 0:18:35.680
<v Speaker 1>are short. Market makers right in this definition, are those

0:18:35.880 --> 0:18:39.160
<v Speaker 1>electronic options entities that we're speaking to, right, the very

0:18:39.240 --> 0:18:44.080
<v Speaker 1>tech savvy kind of newer players in the scene, I'll say,

0:18:44.600 --> 0:18:48.520
<v Speaker 1>and they buy and large are the net sellers, right,

0:18:48.880 --> 0:18:51.199
<v Speaker 1>they are the sellers. They are the source of supply

0:18:52.119 --> 0:18:54.359
<v Speaker 1>for the end users. In the final kind of category,

0:18:54.440 --> 0:18:57.520
<v Speaker 1>because there is a broker dealer prop, which is I

0:18:57.640 --> 0:19:01.120
<v Speaker 1>think an antiquity kind of term when you know prop

0:19:01.200 --> 0:19:03.760
<v Speaker 1>desks were a thing, and it's it's no longer really

0:19:03.960 --> 0:19:06.639
<v Speaker 1>particularly relevant. But the net end user is actually a

0:19:06.720 --> 0:19:11.320
<v Speaker 1>customer tag. So that to us, you know, are the

0:19:11.400 --> 0:19:13.920
<v Speaker 1>people who are you know, trading at home, you know clients,

0:19:14.240 --> 0:19:17.520
<v Speaker 1>you know, institutional clients for retail, etc. What we do

0:19:17.880 --> 0:19:20.560
<v Speaker 1>is we take a kind of a trade pressure monitor,

0:19:20.600 --> 0:19:21.920
<v Speaker 1>and you can do this with a you know, a

0:19:22.040 --> 0:19:26.040
<v Speaker 1>futures contract, but where you're looking at time and sales

0:19:26.119 --> 0:19:30.600
<v Speaker 1>and what is transacting at that time versus the bitter offer.

0:19:31.520 --> 0:19:34.160
<v Speaker 1>And what you then see is if something is kind

0:19:34.200 --> 0:19:37.720
<v Speaker 1>of you know, generically, you know, assumption wise, if it's

0:19:37.760 --> 0:19:42.200
<v Speaker 1>trading above the midpoint, right, doesn't even necessarily have to

0:19:42.200 --> 0:19:44.960
<v Speaker 1>trade offer. But it's above the midpoint, that's somebody typically

0:19:45.000 --> 0:19:47.960
<v Speaker 1>who's lifting an offer. That's a buyer, right, and vice

0:19:48.080 --> 0:19:50.040
<v Speaker 1>verse right. If it trades below the mids, it's somebody

0:19:50.119 --> 0:19:52.240
<v Speaker 1>hitting a bit, it's a seller. And what we do

0:19:52.400 --> 0:19:54.240
<v Speaker 1>is we net out all the trades over the course

0:19:54.280 --> 0:19:56.600
<v Speaker 1>of the day, and then we get that and we

0:19:56.760 --> 0:20:00.520
<v Speaker 1>look at buys of calls, cells of calls right by puts,

0:20:00.600 --> 0:20:02.680
<v Speaker 1>cells of puts, and what we end up seeing is

0:20:02.720 --> 0:20:06.760
<v Speaker 1>a very clear pattern that market makers are almost always

0:20:07.280 --> 0:20:10.720
<v Speaker 1>net sellers and customer flows are almost always net buyers.

0:20:11.520 --> 0:20:14.520
<v Speaker 1>And that is core to this discussion right now because

0:20:14.920 --> 0:20:17.960
<v Speaker 1>you know, as it relates to this larger topic of valmageddon,

0:20:18.000 --> 0:20:21.000
<v Speaker 1>which we'll touch on a bit. You know, that's actually

0:20:21.080 --> 0:20:24.720
<v Speaker 1>the setup that I am most comfortable with, where the

0:20:25.160 --> 0:20:29.159
<v Speaker 1>seemingly you know, day trader, right the seeming kind of

0:20:29.480 --> 0:20:35.359
<v Speaker 1>the buyer of this is more into creating a gamma

0:20:36.080 --> 0:20:38.359
<v Speaker 1>a gamma flow in the market, of momentum flow in

0:20:38.440 --> 0:20:41.200
<v Speaker 1>the market, and we can kind of unpack that, you

0:20:41.240 --> 0:20:44.560
<v Speaker 1>know what that means. But but they have a defined

0:20:44.720 --> 0:20:47.879
<v Speaker 1>risk they're spending the premium on the option. Most of

0:20:47.920 --> 0:20:50.800
<v Speaker 1>these options are going to expire worthless as you kind

0:20:50.800 --> 0:20:52.800
<v Speaker 1>of push out of out of the money. Wait, so

0:20:53.359 --> 0:20:56.640
<v Speaker 1>before we get into sort of knocking the valmac eddon

0:20:56.960 --> 0:21:00.399
<v Speaker 1>argument down, can you talk like what is the val

0:21:00.520 --> 0:21:03.639
<v Speaker 1>mcgeddon argument? Can you piece it together for us? And

0:21:03.800 --> 0:21:07.280
<v Speaker 1>then I know you don't necessarily agree with some of

0:21:07.320 --> 0:21:10.600
<v Speaker 1>the more extreme interpretations of it. And I know, for instance,

0:21:10.680 --> 0:21:13.720
<v Speaker 1>there was a JP Morgan note recently where they said

0:21:13.760 --> 0:21:16.560
<v Speaker 1>that a five percent drop in the SMP five hundred

0:21:17.000 --> 0:21:21.720
<v Speaker 1>could basically snowball into another twenty percent drop because of

0:21:21.840 --> 0:21:26.400
<v Speaker 1>these options. Talk to us about the dynamics that would

0:21:26.520 --> 0:21:31.399
<v Speaker 1>drive that cascade effect in theory. So in you know,

0:21:31.480 --> 0:21:34.840
<v Speaker 1>to take it back to twenty eighteen and that valmcgeddon scenario,

0:21:35.040 --> 0:21:37.760
<v Speaker 1>and you know, you guys kind of got the joke right.

0:21:37.840 --> 0:21:41.359
<v Speaker 1>There was very steep skew at the time. Vall was

0:21:41.680 --> 0:21:46.000
<v Speaker 1>you know, at times screening attractive as a cell because

0:21:46.040 --> 0:21:50.639
<v Speaker 1>of this kind of fed macro suppression, right, and you

0:21:50.720 --> 0:21:53.520
<v Speaker 1>had no yield and fixed income. So there was a

0:21:53.640 --> 0:21:56.200
<v Speaker 1>lot of growth in val selling strategies and you know,

0:21:56.320 --> 0:22:00.320
<v Speaker 1>yield enhancement strategies. And this isn't necessarily from you know

0:22:01.200 --> 0:22:05.440
<v Speaker 1>vall Arb you know, um, you know hedge funds, you know,

0:22:05.760 --> 0:22:08.200
<v Speaker 1>in dark, opaque corners of the market. This was you know,

0:22:08.280 --> 0:22:10.840
<v Speaker 1>the largest asset managers in the world, you know, with

0:22:11.040 --> 0:22:13.880
<v Speaker 1>overriding foot Bill gross stood up on stage and said

0:22:14.000 --> 0:22:16.680
<v Speaker 1>sell volatility, right, that was That's how he did it.

0:22:16.960 --> 0:22:18.639
<v Speaker 1>That's how he did it. He was you know, the

0:22:18.680 --> 0:22:21.000
<v Speaker 1>biggest ray Volve guy out there, you know, and just

0:22:21.119 --> 0:22:23.719
<v Speaker 1>constantly mushing that stuff. You know. So this is more

0:22:23.760 --> 0:22:26.359
<v Speaker 1>than just an equities discussion. But so there was this

0:22:26.720 --> 0:22:29.720
<v Speaker 1>build up, an accumulation of short volatility in the market

0:22:29.760 --> 0:22:33.520
<v Speaker 1>and in particular with those products right their end of

0:22:33.640 --> 0:22:36.840
<v Speaker 1>day hedging requirements. The larger that short vall trade got,

0:22:36.880 --> 0:22:39.159
<v Speaker 1>which again, you know, everybody gets the joke it's a

0:22:39.200 --> 0:22:41.080
<v Speaker 1>picking up pennies in front of a steamroller thing. You're

0:22:41.119 --> 0:22:44.159
<v Speaker 1>just collecting premium, You're you know, collecting income, you know,

0:22:44.320 --> 0:22:48.120
<v Speaker 1>FATA gang, all those kind of euphemisms. That one day,

0:22:49.160 --> 0:22:51.359
<v Speaker 1>and it happened to be that there was an actual

0:22:51.480 --> 0:22:54.840
<v Speaker 1>macro catalyst. Over the course of that December and January,

0:22:55.040 --> 0:22:58.040
<v Speaker 1>the Trump tax plan went from kind of zero delta,

0:22:58.240 --> 0:23:00.000
<v Speaker 1>meaning like nobody thought it was going to get done,

0:23:00.400 --> 0:23:02.560
<v Speaker 1>to getting approved in like the House or the Senate

0:23:02.600 --> 0:23:05.280
<v Speaker 1>by mid December, and we were already at above trend

0:23:05.320 --> 0:23:07.639
<v Speaker 1>growth and above trend inflation, and all of a sudden,

0:23:07.640 --> 0:23:09.679
<v Speaker 1>now you had this big fiscal boom out of nowhere.

0:23:10.000 --> 0:23:13.719
<v Speaker 1>Over the course of January, equity equities was spot up,

0:23:13.800 --> 0:23:16.000
<v Speaker 1>so the market was up, but VALL was going higher

0:23:16.040 --> 0:23:19.960
<v Speaker 1>because people were buying upside optionality like crazy. So a

0:23:20.080 --> 0:23:22.719
<v Speaker 1>spot up vall up, which is you know, a kind

0:23:22.760 --> 0:23:25.160
<v Speaker 1>of a known term for an unstable market, I guess

0:23:25.200 --> 0:23:27.800
<v Speaker 1>you would say. And over the course of that month,

0:23:27.920 --> 0:23:30.600
<v Speaker 1>we kept seeing you know, prices paid beats, you know,

0:23:30.720 --> 0:23:33.560
<v Speaker 1>from regional Feds. There was a CPI release and at

0:23:33.720 --> 0:23:38.080
<v Speaker 1>the day, the Friday prior to you know, Val mcgeddon,

0:23:38.240 --> 0:23:41.840
<v Speaker 1>you know, February fifth, I believe we had this average

0:23:41.880 --> 0:23:43.880
<v Speaker 1>early earnings print. I believe it was like a three

0:23:44.000 --> 0:23:46.480
<v Speaker 1>standard deviation beat or something like that. And for the

0:23:46.600 --> 0:23:50.440
<v Speaker 1>first time in that QY era, there was a Holy

0:23:50.720 --> 0:23:54.280
<v Speaker 1>smokesall there was a Holy Smokes moment, and there was

0:23:54.280 --> 0:23:57.119
<v Speaker 1>an inflation scare, and all of a sudden, that seemingly

0:23:57.520 --> 0:24:02.800
<v Speaker 1>very controlled forward path invisibility of the Fed keeping rates

0:24:02.960 --> 0:24:06.560
<v Speaker 1>lower forever was no longer a thing, and that morning,

0:24:06.960 --> 0:24:09.240
<v Speaker 1>you know, so THATSP traded down two and a half percent.

0:24:09.320 --> 0:24:12.920
<v Speaker 1>I think that Friday, that morning, we saw these things

0:24:13.440 --> 0:24:15.960
<v Speaker 1>start to come unglued, and a lot of people were

0:24:16.000 --> 0:24:18.800
<v Speaker 1>short these things right, and they had to turn by

0:24:18.840 --> 0:24:20.840
<v Speaker 1>the end of the day. Well, the craziest thing is

0:24:21.080 --> 0:24:24.240
<v Speaker 1>they were tied to VIX futures, and I think the

0:24:24.359 --> 0:24:28.280
<v Speaker 1>week before you could see the VIX curve start to invert,

0:24:28.720 --> 0:24:32.760
<v Speaker 1>and everyone knew what inversion would mean for these products.

0:24:32.840 --> 0:24:36.000
<v Speaker 1>And I remember, I will never stop bringing this up,

0:24:36.040 --> 0:24:38.720
<v Speaker 1>but I remember tweeting about how VIX curve inversion would

0:24:38.720 --> 0:24:41.840
<v Speaker 1>be really bad for you know, these two etns, and

0:24:41.960 --> 0:24:45.119
<v Speaker 1>then it happened and everyone was shocked. They were like, oh,

0:24:45.480 --> 0:24:46.960
<v Speaker 1>I didn't expect it, or at least you know, a

0:24:47.000 --> 0:24:50.199
<v Speaker 1>significant proportion of retail seemed to be shocked, which was unfortunate.

0:24:50.480 --> 0:24:52.919
<v Speaker 1>But you could see it coming right right. I mean

0:24:53.000 --> 0:24:55.840
<v Speaker 1>I called it a for you know, I think that

0:24:55.960 --> 0:24:58.320
<v Speaker 1>at that time, like it was a neon swan. Yeah,

0:24:58.680 --> 0:25:01.320
<v Speaker 1>we knew that you need needed a catalyst, and it

0:25:01.480 --> 0:25:03.640
<v Speaker 1>was probably as always as we've seen with this most

0:25:03.760 --> 0:25:06.359
<v Speaker 1>recent you know, multi year period as of you know,

0:25:06.600 --> 0:25:09.960
<v Speaker 1>the volatility catalyst was inflation, because it shocks you out

0:25:10.000 --> 0:25:13.680
<v Speaker 1>in this kind of lazy, you know, que mentality, zero

0:25:14.119 --> 0:25:34.480
<v Speaker 1>bound rate mentality. Moving back to the present day, you know,

0:25:34.640 --> 0:25:36.960
<v Speaker 1>what is it? So, as you pointed out, there's good

0:25:37.040 --> 0:25:41.320
<v Speaker 1>reason to believe this is heavy institution, institutional or active

0:25:41.640 --> 0:25:47.359
<v Speaker 1>buyers of these UM zero data expert options, and clearly

0:25:47.440 --> 0:25:50.160
<v Speaker 1>there's a lot of demand there. The demand is real

0:25:50.280 --> 0:25:53.280
<v Speaker 1>for it. What is it? I guess what are they

0:25:53.560 --> 0:25:57.320
<v Speaker 1>used for? And by that I mean specifically, what is

0:25:57.359 --> 0:26:03.480
<v Speaker 1>it about the characteristics of current large scale institutional portfolios

0:26:04.160 --> 0:26:09.280
<v Speaker 1>that this sort of like standard length longer I don't know,

0:26:09.400 --> 0:26:12.080
<v Speaker 1>duratial maturity option, I don't know what term, just whatever,

0:26:12.280 --> 0:26:16.080
<v Speaker 1>longer data expery options are not as good for why

0:26:16.119 --> 0:26:19.119
<v Speaker 1>do they need such short term protection? Well, so I

0:26:19.280 --> 0:26:21.119
<v Speaker 1>think what you want to do is you look, you know,

0:26:21.200 --> 0:26:23.399
<v Speaker 1>I spoke earlier about kind of the shifting vall regime

0:26:23.440 --> 0:26:25.680
<v Speaker 1>and a Q E versus K TIERA right, and then

0:26:25.800 --> 0:26:30.840
<v Speaker 1>last year skew flattened to like zero percentile. Right, So

0:26:31.040 --> 0:26:33.200
<v Speaker 1>that what that tells you? Right? And we said it

0:26:33.320 --> 0:26:35.640
<v Speaker 1>was because you know, largely generally speaking, without going into

0:26:35.680 --> 0:26:38.080
<v Speaker 1>some really technical kind of flows in the structure product space,

0:26:38.440 --> 0:26:41.119
<v Speaker 1>there was this general underposition that didn't require hedges. It

0:26:41.320 --> 0:26:45.080
<v Speaker 1>was a crash less sell off. It was a grinding

0:26:45.440 --> 0:26:48.440
<v Speaker 1>d leverage. Yeah, but why did they need the zero

0:26:48.960 --> 0:26:51.919
<v Speaker 1>Like why why do they need such short term activities

0:26:52.240 --> 0:26:55.240
<v Speaker 1>to get to get that same at the level of

0:26:55.280 --> 0:26:57.960
<v Speaker 1>protection to say, so that so that's the perversion here

0:26:58.160 --> 0:27:00.560
<v Speaker 1>is that if you were you know, so many tail

0:27:00.600 --> 0:27:05.159
<v Speaker 1>funds stunt class year because typically tail funds are owning

0:27:05.800 --> 0:27:07.720
<v Speaker 1>you know, you're you're you're kind of you're you're. We

0:27:07.880 --> 0:27:09.840
<v Speaker 1>like to say you're short the meat and you're long

0:27:09.960 --> 0:27:11.639
<v Speaker 1>the heat, you know, like that's a kind of a

0:27:11.720 --> 0:27:14.760
<v Speaker 1>generally you know, assumption of what works you need to

0:27:14.840 --> 0:27:18.120
<v Speaker 1>finance paying for you know, the hedges that you put

0:27:18.200 --> 0:27:20.040
<v Speaker 1>on by you know, being able to be shorts and

0:27:20.160 --> 0:27:22.719
<v Speaker 1>volatility at the time, stuff that's gonna you know you're

0:27:22.760 --> 0:27:24.520
<v Speaker 1>gonna be able to collect on. And then you want

0:27:24.560 --> 0:27:27.480
<v Speaker 1>to own like crashy stuff. Well because we never crashed. Yeah,

0:27:27.600 --> 0:27:32.119
<v Speaker 1>like you know, owning Gamma into these event risks didn't

0:27:32.160 --> 0:27:35.800
<v Speaker 1>pay out, so and owning puts didn't really pay out

0:27:35.840 --> 0:27:40.280
<v Speaker 1>because it was this grinding, spot down vall down environment.

0:27:40.880 --> 0:27:44.440
<v Speaker 1>Skew was flat. The actual only days we really saw

0:27:44.600 --> 0:27:48.200
<v Speaker 1>Vault perform were on crash ups because nobody had it

0:27:48.280 --> 0:27:51.560
<v Speaker 1>on right. Nobody was worried about a further sell off

0:27:51.760 --> 0:27:54.080
<v Speaker 1>because you had such low exposure. You're high cash, as

0:27:54.119 --> 0:27:56.719
<v Speaker 1>we already said, you know, like if anything, you were

0:27:56.800 --> 0:27:59.840
<v Speaker 1>hedging daily event risk, and that was a big thing.

0:28:00.320 --> 0:28:01.920
<v Speaker 1>So much of the event risk last year was a

0:28:01.960 --> 0:28:05.119
<v Speaker 1>CPI print, was an NFP, was an FOMC meeting, was

0:28:05.119 --> 0:28:08.800
<v Speaker 1>an ECB meeting. So you wanted something that really looked

0:28:08.840 --> 0:28:11.240
<v Speaker 1>alike and was going to be highly sensitive to that

0:28:11.400 --> 0:28:13.840
<v Speaker 1>day's move right if you were a header. So people

0:28:13.840 --> 0:28:17.200
<v Speaker 1>were buying like at the money same day puts, a

0:28:17.359 --> 0:28:20.680
<v Speaker 1>one month put or a quarterly put was not doing

0:28:20.720 --> 0:28:22.600
<v Speaker 1>you any good. And owning like put spreads for some

0:28:22.760 --> 0:28:24.840
<v Speaker 1>gamma or whatever, it was not doing you any good.

0:28:24.920 --> 0:28:29.159
<v Speaker 1>So as the kind of the migration of the flow

0:28:29.480 --> 0:28:32.520
<v Speaker 1>moved to these, to these, you know, each day to

0:28:32.600 --> 0:28:35.280
<v Speaker 1>that point early each day became its own ecosystem. And

0:28:35.760 --> 0:28:37.920
<v Speaker 1>if you are hedging those risks, if you are a

0:28:38.040 --> 0:28:41.840
<v Speaker 1>market maker selling into a kind of end user who

0:28:41.880 --> 0:28:45.560
<v Speaker 1>has demand to kind of push the market around either way,

0:28:45.640 --> 0:28:49.719
<v Speaker 1>whether it's buying puts or buying calls, which we were

0:28:49.760 --> 0:28:53.760
<v Speaker 1>seeing this, you know the customer base do currently there

0:28:53.800 --> 0:28:57.240
<v Speaker 1>they should be agnostic really about the direction of the market.

0:28:57.640 --> 0:29:00.560
<v Speaker 1>To be fair, right, what they were doing are buying this.

0:29:00.600 --> 0:29:04.360
<v Speaker 1>If you're if you're now short this stuff, you want

0:29:04.480 --> 0:29:07.000
<v Speaker 1>something that's going to perform just like those, and owning

0:29:07.040 --> 0:29:09.640
<v Speaker 1>a Friday option, a weekly option, or a monthly option

0:29:10.200 --> 0:29:13.040
<v Speaker 1>is not going to have the same umph kind of

0:29:13.120 --> 0:29:16.680
<v Speaker 1>inhedging your risk. So part of the volume proliferation that

0:29:16.760 --> 0:29:20.640
<v Speaker 1>we have seen this year is the market makers and

0:29:20.720 --> 0:29:23.840
<v Speaker 1>broker dealers themselves using these products to slice and disk

0:29:23.920 --> 0:29:27.200
<v Speaker 1>their own risk profile. Yeah right, it's symbiotic with the

0:29:27.320 --> 0:29:30.080
<v Speaker 1>kind of the underlying demand. So just on this note,

0:29:30.160 --> 0:29:33.320
<v Speaker 1>we have this environment where maybe you're worried about a

0:29:33.520 --> 0:29:36.360
<v Speaker 1>big intra day move because of event risk, and so

0:29:36.520 --> 0:29:38.920
<v Speaker 1>you're going to buy a short dated option or a

0:29:39.000 --> 0:29:42.120
<v Speaker 1>zero or one day option versus a weekly or a

0:29:42.200 --> 0:29:45.680
<v Speaker 1>monthly or something like that. What does that actually mean

0:29:46.160 --> 0:29:49.960
<v Speaker 1>for the impact on the market, Because the whole Volmageddon

0:29:50.160 --> 0:29:54.800
<v Speaker 1>portfolio insurance doom loop theory is that you end up

0:29:54.800 --> 0:29:58.280
<v Speaker 1>in a situation where the whole market is basically short gamma,

0:29:58.440 --> 0:30:00.520
<v Speaker 1>and what if it keeps to cli lining and then

0:30:00.600 --> 0:30:03.520
<v Speaker 1>market makers have to keep selling in order to hedge.

0:30:04.040 --> 0:30:08.080
<v Speaker 1>But I'm assuming if you're talking about these ultra short options,

0:30:08.480 --> 0:30:11.520
<v Speaker 1>I mean, maybe it could make the market volatile on

0:30:11.800 --> 0:30:16.200
<v Speaker 1>more volatile on a one day basis, but probably less

0:30:16.320 --> 0:30:20.320
<v Speaker 1>unless you get sustained selling for several days. Probably not

0:30:20.520 --> 0:30:22.800
<v Speaker 1>going to lead to, you know, a nineteen eighty seven

0:30:22.840 --> 0:30:26.000
<v Speaker 1>type situation, right, So you know, I think you know,

0:30:26.080 --> 0:30:29.440
<v Speaker 1>in one of my you know, quasi recent notes, there

0:30:29.560 --> 0:30:32.120
<v Speaker 1>was a span you know, at some point in February

0:30:32.120 --> 0:30:34.680
<v Speaker 1>I'd say like over ten days, seven days, I want

0:30:34.720 --> 0:30:37.680
<v Speaker 1>to say seven days. I think we had fifteen or

0:30:37.720 --> 0:30:40.680
<v Speaker 1>sixteen one percent moves in both directions, and like a

0:30:40.760 --> 0:30:43.080
<v Speaker 1>week and a half, I mean it really was. I

0:30:43.200 --> 0:30:44.680
<v Speaker 1>want to say it was like the first week and

0:30:44.720 --> 0:30:47.760
<v Speaker 1>a half save like February, Okay, when when you know

0:30:47.880 --> 0:30:50.520
<v Speaker 1>the velocity of mentions of this, you know, this became

0:30:50.560 --> 0:30:53.600
<v Speaker 1>a very trending conversation. Yeah, and you at that point too,

0:30:53.680 --> 0:30:56.720
<v Speaker 1>we were printing, you know, basically the high usage points

0:30:56.760 --> 0:30:58.680
<v Speaker 1>of these options to date. You know, one out of

0:30:58.720 --> 0:31:01.640
<v Speaker 1>every two options was a zero DT option. And what

0:31:01.920 --> 0:31:04.000
<v Speaker 1>you were seeing then was kind of that exact point

0:31:04.040 --> 0:31:06.520
<v Speaker 1>that you're bringing up, Tracy. It was like you're getting

0:31:06.920 --> 0:31:11.800
<v Speaker 1>this enhanced intra day volatility because when these options were

0:31:11.920 --> 0:31:15.280
<v Speaker 1>net bought by the customers, the dealers have to go

0:31:15.320 --> 0:31:17.640
<v Speaker 1>on had that gamma, right, So when and what that

0:31:17.840 --> 0:31:21.479
<v Speaker 1>means is that you know, if I'm selling upside, if

0:31:21.520 --> 0:31:24.000
<v Speaker 1>I'm selling upside to you, you're trying to induce a

0:31:24.120 --> 0:31:25.680
<v Speaker 1>move in the market. You're trying to kind of push

0:31:25.760 --> 0:31:28.640
<v Speaker 1>the market with this accelerant flow. That's the lesson that

0:31:28.720 --> 0:31:31.760
<v Speaker 1>we learned with the Wall Street Bets yellowing phenomenon. Right,

0:31:32.160 --> 0:31:35.600
<v Speaker 1>And you know this it came part and parcel with

0:31:35.720 --> 0:31:41.240
<v Speaker 1>the democratization of financial information, right, the democratization of trading

0:31:41.360 --> 0:31:43.640
<v Speaker 1>and making it like a video game. This was that

0:31:43.880 --> 0:31:46.960
<v Speaker 1>highly convex you know, low risk while you're doing is

0:31:47.000 --> 0:31:50.400
<v Speaker 1>spending your premium that lottery ticket phenomenon. Yeah, and this

0:31:50.840 --> 0:31:53.240
<v Speaker 1>has become a powerful flow and people now get the

0:31:53.320 --> 0:31:56.360
<v Speaker 1>joke from retail to former institutional folks that didn't think

0:31:56.400 --> 0:31:58.920
<v Speaker 1>about options as a vehicle. Joe, you might remember I

0:31:59.000 --> 0:32:00.800
<v Speaker 1>wrote about this in the news letter. But this to

0:32:00.920 --> 0:32:04.760
<v Speaker 1>me is like the legacy of crypt Well, crypto is

0:32:04.800 --> 0:32:06.760
<v Speaker 1>still here, but this is the big invalence of crypto

0:32:06.840 --> 0:32:10.000
<v Speaker 1>to me, which is that people bet on ever shorter

0:32:10.240 --> 0:32:13.239
<v Speaker 1>term events and they're kind of agnostic to price. Right,

0:32:13.320 --> 0:32:15.200
<v Speaker 1>it's like does the market go this way or does

0:32:15.240 --> 0:32:18.240
<v Speaker 1>it go that way? Actually, this leads perfectly my next question.

0:32:18.320 --> 0:32:22.720
<v Speaker 1>It was like, how big is that activity today in

0:32:23.080 --> 0:32:27.200
<v Speaker 1>early twenty twenty three in your view relative to where

0:32:27.240 --> 0:32:29.400
<v Speaker 1>it was and say middle of twenty twenty one, because

0:32:29.400 --> 0:32:31.600
<v Speaker 1>obviously a lot of those people must be gone or

0:32:31.640 --> 0:32:34.000
<v Speaker 1>wiped out or something, but it's clearly I mean there's

0:32:34.000 --> 0:32:35.800
<v Speaker 1>like this cultural thing and there's a lot of people

0:32:35.840 --> 0:32:37.600
<v Speaker 1>still doing it and talking about it, etc. So like

0:32:37.640 --> 0:32:41.360
<v Speaker 1>in your sense, like the sort of Yolo Gama squeeze

0:32:41.400 --> 0:32:44.240
<v Speaker 1>trades that we talked about We've had on the show

0:32:44.560 --> 0:32:48.640
<v Speaker 1>multiple times, like how much of a force is that today? First,

0:32:48.880 --> 0:32:50.640
<v Speaker 1>back then. So this is kind of the way I

0:32:50.680 --> 0:32:52.560
<v Speaker 1>think about it. It's a very it's a very option

0:32:52.680 --> 0:32:55.480
<v Speaker 1>centric phenomenon, right, And I'm not just saying, oh, like

0:32:55.640 --> 0:32:59.120
<v Speaker 1>zero DT options like shocking. What I'm saying is that

0:32:59.560 --> 0:33:02.640
<v Speaker 1>in the absence of a clear kind of macro message,

0:33:02.640 --> 0:33:05.080
<v Speaker 1>and you were seeing that with Jerome Powell and the

0:33:05.200 --> 0:33:07.520
<v Speaker 1>Fed and the market really trying to come to terms,

0:33:08.160 --> 0:33:10.600
<v Speaker 1>you know, by getting ahead of itself and anticipating the

0:33:10.720 --> 0:33:13.360
<v Speaker 1>end of the tightening cycle and trying to begin pricing

0:33:13.400 --> 0:33:16.360
<v Speaker 1>that in and then bang, you know, hot inflation data

0:33:16.400 --> 0:33:18.760
<v Speaker 1>or hot jobs data keeps you know, the Fed having

0:33:18.800 --> 0:33:21.239
<v Speaker 1>to readjust and the market reprices terminal rates and all

0:33:21.280 --> 0:33:25.920
<v Speaker 1>that stuff. When the trade becomes very challenging like that,

0:33:26.200 --> 0:33:29.000
<v Speaker 1>where again on a daily to weekly basis, where you

0:33:29.080 --> 0:33:32.160
<v Speaker 1>know we're completely held hostage by an individual new macro

0:33:32.320 --> 0:33:35.280
<v Speaker 1>data point or a new central bank meeting, I think

0:33:35.320 --> 0:33:37.960
<v Speaker 1>there has almost been I don't want to say a

0:33:38.040 --> 0:33:40.600
<v Speaker 1>trade or boredom, but you need to exploit some other

0:33:40.680 --> 0:33:43.880
<v Speaker 1>phenomenon where you're dealing with kind of binary outcomes and

0:33:44.040 --> 0:33:46.480
<v Speaker 1>what ends up happening. What we've seen is that if

0:33:46.560 --> 0:33:50.040
<v Speaker 1>you are a market maker or you know, to a

0:33:50.160 --> 0:33:52.880
<v Speaker 1>lesser extent, as I said, a dealer, and you have

0:33:53.520 --> 0:33:56.719
<v Speaker 1>clients looking to exploit these intra day moves, which by

0:33:56.800 --> 0:33:59.400
<v Speaker 1>the way, there's also you know, kind of a regulatory

0:34:00.320 --> 0:34:05.040
<v Speaker 1>paper trail aside here as well, because you know, if

0:34:05.120 --> 0:34:08.160
<v Speaker 1>I'm you know, selling, if I'm selling an option, let's say, okay,

0:34:08.320 --> 0:34:09.680
<v Speaker 1>I don't at the end of the day, if it's

0:34:09.719 --> 0:34:12.200
<v Speaker 1>not on my prime broker's books because that trade has gone,

0:34:12.920 --> 0:34:15.080
<v Speaker 1>I don't have to you know, do the kind of

0:34:15.160 --> 0:34:19.560
<v Speaker 1>the the margin you know requirement right the collateral um

0:34:19.719 --> 0:34:23.239
<v Speaker 1>you know kind of requirement. So you know, there's there's

0:34:23.360 --> 0:34:27.600
<v Speaker 1>also this at as opposed to using a futures order, which,

0:34:27.680 --> 0:34:29.680
<v Speaker 1>by the way, you would put a you know, like

0:34:29.800 --> 0:34:32.960
<v Speaker 1>for a stop loss or risk management tool. So often

0:34:33.080 --> 0:34:35.879
<v Speaker 1>in this type of world, you put your stop loss

0:34:35.960 --> 0:34:39.040
<v Speaker 1>out here down at this level, and you know, the

0:34:39.200 --> 0:34:41.200
<v Speaker 1>market goes there and you execute and you're out of

0:34:41.239 --> 0:34:42.799
<v Speaker 1>your position even though you want it to be long

0:34:42.880 --> 0:34:43.960
<v Speaker 1>And then by the end of the day, the thing

0:34:44.080 --> 0:34:46.520
<v Speaker 1>is higher and you just killed yourself. These sit out

0:34:46.560 --> 0:34:49.120
<v Speaker 1>there live until four o'clock. They give you a chance

0:34:49.160 --> 0:34:51.440
<v Speaker 1>to not get knocked out. Oh and I didn't realize

0:34:51.480 --> 0:34:53.799
<v Speaker 1>that about the margin requirements. That's interesting, Yeah, I mean

0:34:53.840 --> 0:34:55.359
<v Speaker 1>so it's just you know, those types of things are

0:34:55.400 --> 0:34:58.240
<v Speaker 1>all part of this tailwind to these to these products.

0:34:58.320 --> 0:35:00.279
<v Speaker 1>But the thing that I want to say, as if

0:35:00.280 --> 0:35:02.880
<v Speaker 1>you think about where a market maker is basically positioned,

0:35:03.120 --> 0:35:05.480
<v Speaker 1>they're kind of they're short of put and short of

0:35:05.600 --> 0:35:08.360
<v Speaker 1>call on a daily basis. Our data shows for that

0:35:08.480 --> 0:35:12.560
<v Speaker 1>customer tagging that almost every day by and large particularly

0:35:12.719 --> 0:35:15.600
<v Speaker 1>and we look at you know, moneyness buckets, right, So

0:35:15.800 --> 0:35:19.000
<v Speaker 1>and that sounds kind of intimidating perhaps, but just think

0:35:19.040 --> 0:35:21.880
<v Speaker 1>about like calls in the up one percent to up

0:35:21.960 --> 0:35:26.439
<v Speaker 1>three percent, right, is almost always a net customer buyer

0:35:27.480 --> 0:35:30.920
<v Speaker 1>trying to create that gamma squeeze, okay, But so are

0:35:31.080 --> 0:35:33.719
<v Speaker 1>puts in the ninety seven ninety nine. So like down one,

0:35:33.800 --> 0:35:37.439
<v Speaker 1>down three percent, almost always a customer buyer you're trying

0:35:37.480 --> 0:35:41.439
<v Speaker 1>to push these flows around. So just on this point,

0:35:41.640 --> 0:35:44.440
<v Speaker 1>and you mentioned exploitation earlier, and one of the things

0:35:44.640 --> 0:35:50.000
<v Speaker 1>about Vaal mcgeddon and those two exchange traded notes or products,

0:35:50.440 --> 0:35:54.960
<v Speaker 1>was that eventually market participants became very very aware of

0:35:55.200 --> 0:35:59.080
<v Speaker 1>their size and how they worked and sort of realized

0:35:59.280 --> 0:36:03.400
<v Speaker 1>that they could influence those products so that the products

0:36:03.480 --> 0:36:06.399
<v Speaker 1>in turn would influence the underlying which in this case

0:36:06.600 --> 0:36:10.239
<v Speaker 1>was Vic's futures. Is there a chance that you could

0:36:10.360 --> 0:36:13.680
<v Speaker 1>see something or you're already seeing something similar here where

0:36:13.880 --> 0:36:18.040
<v Speaker 1>sophisticated market participants understand how these options work, the hedging

0:36:18.080 --> 0:36:20.600
<v Speaker 1>activity that they generate, and they start to sort of

0:36:20.880 --> 0:36:24.960
<v Speaker 1>game them. Yes, but what you're doing is you're kind

0:36:24.960 --> 0:36:28.880
<v Speaker 1>of intraday gaming them because again the inherent mean reversion

0:36:29.000 --> 0:36:32.120
<v Speaker 1>property of these things. If you're going to monetize, you

0:36:32.200 --> 0:36:35.120
<v Speaker 1>got to do it by the clothes and what you're

0:36:35.160 --> 0:36:38.920
<v Speaker 1>getting this is feeding into the intraday volatility expansion, right,

0:36:39.280 --> 0:36:43.040
<v Speaker 1>the interday acceleration flow. I'm lifting a guy on upside calls,

0:36:43.080 --> 0:36:44.600
<v Speaker 1>you know, and out of the money upside calls, and

0:36:44.600 --> 0:36:47.000
<v Speaker 1>the market starts rallying, and then we get through a strike.

0:36:47.080 --> 0:36:50.000
<v Speaker 1>He's short gamma, right, So the higher the market goes,

0:36:50.080 --> 0:36:52.160
<v Speaker 1>the more they have to buy to stay hedged. You're

0:36:52.200 --> 0:36:55.279
<v Speaker 1>trying to help push, You're trying to get the ball rolling. Again,

0:36:55.360 --> 0:36:57.520
<v Speaker 1>These are acceler and flows the same thing to the downside,

0:36:58.040 --> 0:37:02.239
<v Speaker 1>and that is that is, you know, well within the

0:37:02.440 --> 0:37:04.400
<v Speaker 1>kind of the bounds of fair play, right, it's the

0:37:04.440 --> 0:37:05.920
<v Speaker 1>same thing as you have to go out and buy

0:37:06.280 --> 0:37:09.760
<v Speaker 1>five yards of futures. You know you're gonna rip the market.

0:37:09.800 --> 0:37:11.600
<v Speaker 1>It's going to leave a footprint. You know, you might

0:37:11.680 --> 0:37:13.560
<v Speaker 1>be trying to do it kind of little profile, but

0:37:14.000 --> 0:37:18.520
<v Speaker 1>you know these trades. We've seen futures on options on

0:37:18.640 --> 0:37:21.960
<v Speaker 1>futures trading of late where people are doing this clearly

0:37:22.080 --> 0:37:25.360
<v Speaker 1>on the screens where they're buying twenty thousand options on

0:37:25.560 --> 0:37:29.200
<v Speaker 1>futures down fifty points in the middle of the day

0:37:29.239 --> 0:37:32.919
<v Speaker 1>and puts. And that was a big story a week

0:37:33.040 --> 0:37:35.600
<v Speaker 1>or two ago where the market moved because there was

0:37:35.640 --> 0:37:38.160
<v Speaker 1>two billion dollars of delta for sale. Everybody saw that.

0:37:38.360 --> 0:37:41.920
<v Speaker 1>Everybody knew it. Actually, maybe just as a way to

0:37:42.000 --> 0:37:46.520
<v Speaker 1>sort of help me conceptualize this and understand the example

0:37:46.600 --> 0:37:49.480
<v Speaker 1>that you just cited, like can you talk a little

0:37:49.480 --> 0:37:53.080
<v Speaker 1>bit about payoff probabilities, Like can you sort of walk

0:37:53.200 --> 0:37:55.919
<v Speaker 1>through a sort of a specific like type of bet

0:37:56.160 --> 0:37:58.880
<v Speaker 1>that someone would make and this type of situation, like

0:37:59.239 --> 0:38:02.640
<v Speaker 1>what are they risking? What is the upside? Everyone wants

0:38:02.719 --> 0:38:06.560
<v Speaker 1>that's sort of like big lottery tickets type move et cetera.

0:38:06.600 --> 0:38:09.000
<v Speaker 1>Can you sort of like walk through like a sort

0:38:09.040 --> 0:38:13.239
<v Speaker 1>of theoretical trade or theoretical like math behind how an

0:38:13.400 --> 0:38:17.399
<v Speaker 1>entity would enter and think about the upside and downside. Well,

0:38:17.520 --> 0:38:21.160
<v Speaker 1>I mean without even getting into like a complex option strategy.

0:38:21.400 --> 0:38:25.560
<v Speaker 1>Right if you were just simply buying same day call options, Okay,

0:38:25.719 --> 0:38:29.160
<v Speaker 1>you know kind of through the end of January, You'm

0:38:29.200 --> 0:38:32.240
<v Speaker 1>just running a systematic strategy of you know, of buying

0:38:32.320 --> 0:38:35.680
<v Speaker 1>and closing like you're up you know, say, you know,

0:38:35.760 --> 0:38:39.400
<v Speaker 1>five percent just on you know that alone consistently, and

0:38:39.480 --> 0:38:43.520
<v Speaker 1>you had you know, an actual like positive sharp ratio too.

0:38:43.800 --> 0:38:46.080
<v Speaker 1>Like that's not a normal kind of environment because January

0:38:46.200 --> 0:38:49.520
<v Speaker 1>was this like everything type of rally even though you know,

0:38:49.600 --> 0:38:52.120
<v Speaker 1>there were times where we were rallying involved was going higher.

0:38:52.239 --> 0:38:56.040
<v Speaker 1>But it's more actually the view of why, in my mind,

0:38:56.360 --> 0:38:58.960
<v Speaker 1>why market makers want to be are willing to be

0:38:59.040 --> 0:39:02.680
<v Speaker 1>short these right, and that is you know, a critical

0:39:02.800 --> 0:39:05.560
<v Speaker 1>part of this process, particularly in this VALL regime where

0:39:06.000 --> 0:39:10.240
<v Speaker 1>you know, VALL can't squeeze yesterday, you know, barely barely

0:39:10.360 --> 0:39:13.600
<v Speaker 1>ticking higher, right even or excuse me, on yesterday, meaning

0:39:14.200 --> 0:39:18.200
<v Speaker 1>referring to the first day of the politicistimony on the sea.

0:39:18.320 --> 0:39:21.160
<v Speaker 1>But if you're looking at you know, a sharp ratio, right,

0:39:21.200 --> 0:39:24.000
<v Speaker 1>so a measure of kind of performance versus a risk unit.

0:39:24.280 --> 0:39:26.560
<v Speaker 1>You know, it's really a marketing tool, right, you know,

0:39:26.600 --> 0:39:30.360
<v Speaker 1>it's not an actual like risk calculate, but shorting a

0:39:30.640 --> 0:39:33.920
<v Speaker 1>daily straddle, which is what these market makers are doing. Right.

0:39:33.960 --> 0:39:36.360
<v Speaker 1>They're short of put and short of call to a client,

0:39:36.800 --> 0:39:38.920
<v Speaker 1>or you could say short of a strangle as well,

0:39:39.120 --> 0:39:42.200
<v Speaker 1>kind of depending on same strike or wider strikes. But

0:39:42.760 --> 0:39:45.040
<v Speaker 1>you're talking about an S and P for the last

0:39:45.120 --> 0:39:49.080
<v Speaker 1>ten days, that's a seven sharp selling that selling that

0:39:49.200 --> 0:39:52.239
<v Speaker 1>straddle systematically on a on a twenty day, you know,

0:39:52.320 --> 0:39:54.719
<v Speaker 1>it pushes up somewhere, you know, or it's still like

0:39:55.040 --> 0:39:57.239
<v Speaker 1>a five or something like that in an S and P.

0:39:57.800 --> 0:40:01.560
<v Speaker 1>So these this is a big pay out for these

0:40:01.680 --> 0:40:06.520
<v Speaker 1>market makes. So okay, So what is the regime shift

0:40:06.680 --> 0:40:10.719
<v Speaker 1>scenario in which market makers could get run over? There's

0:40:10.840 --> 0:40:14.840
<v Speaker 1>short puts and calls, so they're essentially making bets on

0:40:15.560 --> 0:40:19.640
<v Speaker 1>not big moves, right, Like to a certain extent, Yes,

0:40:19.800 --> 0:40:22.799
<v Speaker 1>in a world where we haven't had crash and there

0:40:22.920 --> 0:40:25.960
<v Speaker 1>is not so right, we've had declined but not crashes.

0:40:26.440 --> 0:40:29.320
<v Speaker 1>And part of that is perhaps you know, due to

0:40:29.560 --> 0:40:33.200
<v Speaker 1>these sort of like delevering people don't have people have

0:40:33.280 --> 0:40:35.040
<v Speaker 1>more cash on this sideline so they don't have to

0:40:35.080 --> 0:40:38.040
<v Speaker 1>like sell in response to selling, etc. But talked like

0:40:38.120 --> 0:40:41.320
<v Speaker 1>about like what is the scenario in which a market

0:40:41.400 --> 0:40:45.879
<v Speaker 1>maker with these you know, short straddles could get run over? Well,

0:40:45.960 --> 0:40:48.720
<v Speaker 1>so in this dynamic that we're that we're talking about,

0:40:48.880 --> 0:40:51.719
<v Speaker 1>that that has kind of been the setup for most days, right,

0:40:52.000 --> 0:40:54.160
<v Speaker 1>you know where you know it's it's actually a good thing.

0:40:54.520 --> 0:41:00.640
<v Speaker 1>I want the short ball short gamma being managed by professionals,

0:41:01.280 --> 0:41:06.239
<v Speaker 1>some sort of regulatory oversight, capital you know oversight you know,

0:41:06.640 --> 0:41:10.239
<v Speaker 1>with more robust discipline kind of risk management process and

0:41:10.400 --> 0:41:12.719
<v Speaker 1>not by the same day intra day scalpers who are

0:41:12.760 --> 0:41:15.920
<v Speaker 1>shorting tales for income. Yes, right, that's that's critical to me.

0:41:16.000 --> 0:41:18.800
<v Speaker 1>So when I'm speaking with regulators, which i am, you know,

0:41:18.880 --> 0:41:21.720
<v Speaker 1>when I'm speaking with um you know kind of oversight

0:41:21.840 --> 0:41:24.239
<v Speaker 1>type of entities and and you know things of that

0:41:24.440 --> 0:41:27.120
<v Speaker 1>nature that want to know is there a systemic risk? Yeah,

0:41:27.280 --> 0:41:29.719
<v Speaker 1>this currently is the right set up to be you know,

0:41:29.840 --> 0:41:33.560
<v Speaker 1>well managed. The thing that would make me uncomfortable would

0:41:33.680 --> 0:41:36.800
<v Speaker 1>very much come from what would almost require certainly a

0:41:36.960 --> 0:41:41.120
<v Speaker 1>different macroeconomic regime, which would be a much more highly

0:41:41.200 --> 0:41:44.400
<v Speaker 1>speculative environment. It would probably require, you know, a resumption

0:41:44.480 --> 0:41:47.600
<v Speaker 1>of quantitative easing. It would be a very different world

0:41:47.719 --> 0:41:49.920
<v Speaker 1>where there wouldn't be all this yield and sitting in

0:41:50.080 --> 0:41:53.040
<v Speaker 1>cash and you had to go back to being risky

0:41:53.120 --> 0:41:55.840
<v Speaker 1>by selling valls. Sorry, I don't want to keep pressing

0:41:55.920 --> 0:41:59.680
<v Speaker 1>on this, but I'm trying to understand, like, yeah, they're

0:41:59.719 --> 0:42:03.600
<v Speaker 1>really smart and their professionals, but smart professionals blow up

0:42:03.640 --> 0:42:05.759
<v Speaker 1>to wait, wait, wait, wait. So just on this point,

0:42:05.800 --> 0:42:08.640
<v Speaker 1>I think like the biggest criticism of the val mcgeddon

0:42:08.760 --> 0:42:12.160
<v Speaker 1>scenario is that if your put went up like a

0:42:12.239 --> 0:42:15.160
<v Speaker 1>thousand percent in a day, you would sell it, right,

0:42:15.320 --> 0:42:19.040
<v Speaker 1>which would like start to decrease some of the hedging

0:42:19.120 --> 0:42:23.080
<v Speaker 1>needs or bring in buyers buying from market makers, and

0:42:23.200 --> 0:42:26.120
<v Speaker 1>that would ultimately support the market. That's my understanding of

0:42:26.160 --> 0:42:30.440
<v Speaker 1>the sort of opposition to val mcgeddon thing. I think

0:42:30.600 --> 0:42:36.080
<v Speaker 1>the sheer supply of short vall then versus this very

0:42:36.200 --> 0:42:39.680
<v Speaker 1>tactical and then daisy chained hedged you know environment that

0:42:39.760 --> 0:42:43.000
<v Speaker 1>we're currently in where part of these volumes once the

0:42:43.080 --> 0:42:45.800
<v Speaker 1>dealers are short some of these you know, down to

0:42:46.239 --> 0:42:49.600
<v Speaker 1>or up to types of scenarios are them Are they

0:42:49.680 --> 0:42:53.399
<v Speaker 1>themselves hedging out these scenarios and slicing and dicing their risk.

0:42:54.480 --> 0:42:57.480
<v Speaker 1>Back then, that was the largest supply of kind of

0:42:57.520 --> 0:43:01.600
<v Speaker 1>short vall that we had seen, and we knew mechanically

0:43:01.760 --> 0:43:04.959
<v Speaker 1>it had to rebalance. That's why it was an extinction event.

0:43:05.200 --> 0:43:08.239
<v Speaker 1>People begin to shoot against it now that of course,

0:43:08.360 --> 0:43:11.680
<v Speaker 1>that can still happen now, but again due to this

0:43:11.880 --> 0:43:14.759
<v Speaker 1>dynamic where if the trade is actually going your way,

0:43:15.360 --> 0:43:19.239
<v Speaker 1>you are being incentivized to close it out. And that's why.

0:43:19.440 --> 0:43:23.040
<v Speaker 1>So if classic realized volatility is a measure of close

0:43:23.120 --> 0:43:26.560
<v Speaker 1>to close volatility right right now kind of sort of

0:43:26.680 --> 0:43:30.400
<v Speaker 1>say VIX the VIX future at like around twenty is

0:43:30.600 --> 0:43:33.360
<v Speaker 1>implying a one point two to one point three percent

0:43:33.520 --> 0:43:36.440
<v Speaker 1>daily move in the SMP like five of the last

0:43:36.520 --> 0:43:39.600
<v Speaker 1>seven days. I know it's a random sampling, but have

0:43:39.760 --> 0:43:42.480
<v Speaker 1>been like fifty bibs or less. But what you're getting

0:43:42.640 --> 0:43:45.520
<v Speaker 1>is one percent intra day moves. And this is the thing,

0:43:45.680 --> 0:43:47.960
<v Speaker 1>right what you're getting is like from from a you know,

0:43:48.360 --> 0:43:52.719
<v Speaker 1>a volatility measure that actually incorporates open to close or

0:43:52.880 --> 0:43:57.080
<v Speaker 1>hide to low. You're actually seeing vall expand at some times,

0:43:57.640 --> 0:44:02.480
<v Speaker 1>but from a classic volatility perspective, because this mean reversion

0:44:02.560 --> 0:44:07.200
<v Speaker 1>flow compresses from a daily change, right that idea of

0:44:07.320 --> 0:44:11.400
<v Speaker 1>an ecosystem of each day its own ecosystem on a

0:44:11.520 --> 0:44:15.120
<v Speaker 1>closed to close basis, these trades are actually helping to

0:44:15.239 --> 0:44:19.880
<v Speaker 1>compress volatility and actually leaning into implied you know, volatility

0:44:20.000 --> 0:44:22.439
<v Speaker 1>is kind of grinding lower, which is very much where

0:44:22.480 --> 0:44:25.320
<v Speaker 1>we're stuck right now. So I just have one more question,

0:44:25.440 --> 0:44:29.040
<v Speaker 1>and it's kind of facetious but not really like the

0:44:29.600 --> 0:44:31.840
<v Speaker 1>day to day takeaway from this is that like the

0:44:31.960 --> 0:44:36.320
<v Speaker 1>CBOE and the marketmakers must just be minting money from this.

0:44:36.840 --> 0:44:39.880
<v Speaker 1>And secondly, doesn't mean that if you're an equities trader,

0:44:40.280 --> 0:44:42.759
<v Speaker 1>like you don't even have to be around for the

0:44:42.840 --> 0:44:45.240
<v Speaker 1>full day. You could just be at like around present

0:44:45.320 --> 0:44:47.880
<v Speaker 1>for the open and the clothes and those are the

0:44:48.000 --> 0:44:52.160
<v Speaker 1>most important things. Now. Well, so we watch, you know,

0:44:52.840 --> 0:44:56.680
<v Speaker 1>there's a ton of mythology and wheel spinning based on

0:44:57.840 --> 0:44:59.520
<v Speaker 1>you know, in recent years, and I've been you know,

0:44:59.600 --> 0:45:03.800
<v Speaker 1>part of this process for certain with regards to getting

0:45:03.800 --> 0:45:08.080
<v Speaker 1>a sense for the aggregate options landscape and where extreme

0:45:08.239 --> 0:45:11.960
<v Speaker 1>long or short are the aggregate delta is across options

0:45:12.000 --> 0:45:15.120
<v Speaker 1>and where dealers go short gamma, you know, versus spot

0:45:15.200 --> 0:45:18.080
<v Speaker 1>and things like that, trying to find these acceleration points

0:45:18.120 --> 0:45:20.359
<v Speaker 1>in the market where things could go wrong or things

0:45:20.440 --> 0:45:24.160
<v Speaker 1>could get slippery in either direction. What the proliferation of

0:45:24.239 --> 0:45:27.120
<v Speaker 1>these tools is done. As we said, each day has

0:45:27.160 --> 0:45:31.120
<v Speaker 1>its own kind of environment, and when we're looking at

0:45:31.200 --> 0:45:35.640
<v Speaker 1>these things trading, these don't necessarily mean that it has

0:45:35.719 --> 0:45:38.160
<v Speaker 1>to be an open and closed So as we've moved

0:45:38.160 --> 0:45:40.839
<v Speaker 1>away from looking at the longer term impact of kind

0:45:40.880 --> 0:45:45.000
<v Speaker 1>of the longer expiration options, and now it's so intra

0:45:45.160 --> 0:45:48.759
<v Speaker 1>day based. We have a lot of tools internally where

0:45:48.880 --> 0:45:52.000
<v Speaker 1>I am seeing whether or not premium is being spent

0:45:52.640 --> 0:45:55.839
<v Speaker 1>or premium is being sold. And that's meaning so if

0:45:55.880 --> 0:46:00.279
<v Speaker 1>I see delta going higher and I see premium going

0:46:00.520 --> 0:46:03.239
<v Speaker 1>up in a positive direction, on these tools, I can

0:46:03.320 --> 0:46:06.800
<v Speaker 1>assume that calls are being bought right spending premium, and

0:46:07.000 --> 0:46:10.080
<v Speaker 1>thus the delta is going higher on a day like

0:46:10.320 --> 0:46:15.560
<v Speaker 1>this recent Jerome Powell, you know, hawkish kind of escalation yesterday,

0:46:15.640 --> 0:46:18.719
<v Speaker 1>what we saw, he comes out of the gates. There's

0:46:18.760 --> 0:46:22.640
<v Speaker 1>a ton of puts bought, and then you get the

0:46:22.719 --> 0:46:25.320
<v Speaker 1>down move. And this is a big theme in twenty

0:46:25.400 --> 0:46:27.120
<v Speaker 1>twenty two as well, with a number of the big

0:46:27.239 --> 0:46:31.480
<v Speaker 1>CPI upside surprises seemingly hawkish data points. People would monetize

0:46:31.560 --> 0:46:34.160
<v Speaker 1>that downside. It would immediately put in a floor in

0:46:34.200 --> 0:46:38.400
<v Speaker 1>the market, right because now you sell those puts, you

0:46:38.520 --> 0:46:42.280
<v Speaker 1>sell those hedges or directional puts. It creates an impetus

0:46:42.400 --> 0:46:46.160
<v Speaker 1>now for dealers to cover their short futures. And then

0:46:46.280 --> 0:46:48.839
<v Speaker 1>people would even further exploit that by buying same day

0:46:48.880 --> 0:46:52.320
<v Speaker 1>calls to kind of create a further squeeze of that impact.

0:46:52.680 --> 0:46:56.759
<v Speaker 1>So all day it was by puts, sell puts, by

0:46:56.840 --> 0:47:00.080
<v Speaker 1>calls rally, and then we got that, we snapped, and

0:47:00.200 --> 0:47:02.440
<v Speaker 1>we sold off again. It is a you can do

0:47:03.040 --> 0:47:05.760
<v Speaker 1>as much as you want, right and you're not held

0:47:05.840 --> 0:47:07.760
<v Speaker 1>to close. You know, you can close them out midday

0:47:07.800 --> 0:47:10.320
<v Speaker 1>if you got your two hundred percent return and a

0:47:10.400 --> 0:47:12.239
<v Speaker 1>far out of the money thing that went in the money,

0:47:12.280 --> 0:47:16.640
<v Speaker 1>And that's happened on multiple occasions intraday, you know you're good.

0:47:17.320 --> 0:47:21.200
<v Speaker 1>But the overall point is absolutely not every day are

0:47:21.239 --> 0:47:23.520
<v Speaker 1>we closing back to flat? You know, I'm not trying

0:47:23.560 --> 0:47:25.880
<v Speaker 1>to say that. With regards of this mean reversion dynamic,

0:47:26.280 --> 0:47:28.880
<v Speaker 1>we have had a number of days, certainly after the

0:47:29.040 --> 0:47:32.279
<v Speaker 1>rates repricing and some of the volatility in February, the

0:47:32.480 --> 0:47:35.600
<v Speaker 1>policy of volatility in February and the rate volatility in February,

0:47:35.880 --> 0:47:39.560
<v Speaker 1>where we actually did look kind of short gamma, meaning

0:47:39.600 --> 0:47:42.080
<v Speaker 1>we either closed on the low or closed on a

0:47:42.480 --> 0:47:44.239
<v Speaker 1>high at the end of the day. You know, when

0:47:44.280 --> 0:47:47.279
<v Speaker 1>I say we looked short gamma, it speaks to that

0:47:47.440 --> 0:47:52.080
<v Speaker 1>dynamic where market makers or dealers are needing to buy

0:47:52.280 --> 0:47:54.760
<v Speaker 1>something the higher it goes, or sell something the lower

0:47:54.800 --> 0:47:57.560
<v Speaker 1>it goes, particularly at that end of day hedging period.

0:47:58.200 --> 0:48:02.239
<v Speaker 1>Now you're getting this intra day hedging period and intra

0:48:02.360 --> 0:48:06.960
<v Speaker 1>day unwind period. So buy and large again with the

0:48:07.080 --> 0:48:10.120
<v Speaker 1>customers being the buyers and the kind of the the

0:48:10.440 --> 0:48:13.000
<v Speaker 1>dealers and the market makers being the managers of the

0:48:13.160 --> 0:48:17.040
<v Speaker 1>options greeks, risks and the second order greeks, that is

0:48:17.200 --> 0:48:20.960
<v Speaker 1>a far safer place to be in my eyes. It's

0:48:21.000 --> 0:48:24.799
<v Speaker 1>when we see that resumption of selling tales intra day

0:48:25.560 --> 0:48:28.880
<v Speaker 1>that my spidy senses will go up and say, I

0:48:29.120 --> 0:48:31.239
<v Speaker 1>don't like how this could go. Then you very well

0:48:31.840 --> 0:48:33.640
<v Speaker 1>could have a situation where they don't know how to

0:48:33.719 --> 0:48:36.040
<v Speaker 1>manage their their you know, their gamma risk, right that

0:48:36.120 --> 0:48:38.480
<v Speaker 1>with the sensitivity of their delta to a move in

0:48:38.480 --> 0:48:40.480
<v Speaker 1>the underlying the sensitivity of their delta to a move,

0:48:40.520 --> 0:48:43.480
<v Speaker 1>and involve their Vanna risk. Right, all those things. These

0:48:43.520 --> 0:48:45.520
<v Speaker 1>things have a shelf life of six and a half

0:48:45.560 --> 0:48:50.040
<v Speaker 1>hours best. They're super sensitive. That's the reason that they're attractive,

0:48:50.160 --> 0:48:54.280
<v Speaker 1>because they're you know, lottery tickets on steroids. And again

0:48:54.520 --> 0:48:57.000
<v Speaker 1>with a defined risk, you can spend eighty bucks to

0:48:57.080 --> 0:48:59.320
<v Speaker 1>make eleven thousand or whatever it is I want to

0:48:59.360 --> 0:49:02.480
<v Speaker 1>do that. You know, that's the kind of setup. You've

0:49:02.560 --> 0:49:06.839
<v Speaker 1>learned nothing from this podcast. Spidey Sense for a spy

0:49:06.960 --> 0:49:09.320
<v Speaker 1>impact is also very good, Charlie. We're going to have

0:49:09.360 --> 0:49:11.160
<v Speaker 1>to leave it there. Thank you so much. That was

0:49:11.200 --> 0:49:14.800
<v Speaker 1>a fantastic explanation. Really appreciate you coming on. Thank you

0:49:14.880 --> 0:49:32.040
<v Speaker 1>guys for having me so Joe. I found that conversation fascinating,

0:49:32.120 --> 0:49:34.800
<v Speaker 1>and I think whenever you do have an explosion in

0:49:35.400 --> 0:49:37.880
<v Speaker 1>volume of a new type of product, it does warrant

0:49:38.120 --> 0:49:41.520
<v Speaker 1>some caution and additional scrutiny. But for me, the big

0:49:41.680 --> 0:49:45.440
<v Speaker 1>takeaway there was this idea of every day is kind

0:49:45.480 --> 0:49:47.600
<v Speaker 1>of a new ecosystem. In this idea that more and

0:49:47.719 --> 0:49:50.719
<v Speaker 1>more people and I thought Charlie did an excellent job

0:49:50.800 --> 0:49:54.120
<v Speaker 1>of sort of crystallizing a lot of these ideas, This

0:49:54.280 --> 0:49:58.360
<v Speaker 1>idea that if you don't have a defined macro environment

0:49:58.440 --> 0:50:01.120
<v Speaker 1>or macro trend, then why not trade on a sort

0:50:01.160 --> 0:50:04.120
<v Speaker 1>of day to day basis on things going up or down?

0:50:04.520 --> 0:50:06.920
<v Speaker 1>There was a Yeah, I found that conversation to be

0:50:07.239 --> 0:50:10.960
<v Speaker 1>very clarifying. The big picture, like sort of aha moment

0:50:11.080 --> 0:50:15.160
<v Speaker 1>for me is that you know when portfolios are less

0:50:15.239 --> 0:50:17.400
<v Speaker 1>levered because the FED is sort of telling you to,

0:50:17.960 --> 0:50:20.920
<v Speaker 1>you know, use less leverage. They're raising the cost of borrowing, etc. Like,

0:50:21.239 --> 0:50:26.480
<v Speaker 1>you don't need as much long term structural protection because

0:50:26.520 --> 0:50:29.360
<v Speaker 1>you have a volatility hedge already, which is the amount

0:50:29.400 --> 0:50:32.719
<v Speaker 1>of cash that you're holding, But you know, you still

0:50:32.840 --> 0:50:36.319
<v Speaker 1>have these one day moves, so you have the less

0:50:36.360 --> 0:50:38.759
<v Speaker 1>big macro crash risk, but you still have these one

0:50:38.840 --> 0:50:43.200
<v Speaker 1>day moves around CPI releases or around FED speeches, and

0:50:43.440 --> 0:50:46.800
<v Speaker 1>so yeah, intuitively, you think, okay, short term options, this

0:50:47.120 --> 0:50:50.240
<v Speaker 1>must be all just people who like to gamble betting

0:50:50.280 --> 0:50:54.920
<v Speaker 1>that eighty dollars for eleven thousand payoff. But if the

0:50:55.120 --> 0:50:58.440
<v Speaker 1>story is really about one day moves and one day risk,

0:50:58.760 --> 0:51:01.600
<v Speaker 1>then you can see why institutional portfolios would like to

0:51:01.680 --> 0:51:04.520
<v Speaker 1>trade these instruments. Yeah, well, I think there's definitely a

0:51:04.719 --> 0:51:09.200
<v Speaker 1>rationality behind it, especially on the institutional side. But I

0:51:09.320 --> 0:51:11.480
<v Speaker 1>also think we can't ignore that just over the past

0:51:11.560 --> 0:51:13.800
<v Speaker 1>few years, you know, with the advent of crypto and

0:51:13.840 --> 0:51:15.640
<v Speaker 1>then the Wall Street bets phenomenon and all of that

0:51:15.840 --> 0:51:19.840
<v Speaker 1>is we've kind of normalized the tokenization of everything, or

0:51:19.960 --> 0:51:22.239
<v Speaker 1>the lottery ticket idea, and you know, I can just

0:51:22.360 --> 0:51:25.359
<v Speaker 1>treat this as sure, go up or down and make

0:51:25.400 --> 0:51:27.920
<v Speaker 1>a lot of money. No, I mean, like that's obviously

0:51:28.080 --> 0:51:29.800
<v Speaker 1>like such a thing. I mean, it's like such a

0:51:29.920 --> 0:51:33.680
<v Speaker 1>part of the culture, the gambling culture, the sort of

0:51:33.800 --> 0:51:36.239
<v Speaker 1>like take risks, the sort of like shoot for the moon,

0:51:36.640 --> 0:51:38.600
<v Speaker 1>like that is like a real thing that I don't

0:51:38.680 --> 0:51:42.080
<v Speaker 1>think we've felt to nearly the same degree five years

0:51:42.120 --> 0:51:45.720
<v Speaker 1>ago or whatever it was, you know, even Val mcgednon.

0:51:45.719 --> 0:51:47.600
<v Speaker 1>All that stuff feels like sort of like a quaint

0:51:47.640 --> 0:51:52.840
<v Speaker 1>era and now within how people treat markets. But yeah, no,

0:51:52.960 --> 0:51:55.320
<v Speaker 1>I think that was fascinating. And then also I do

0:51:55.520 --> 0:51:59.640
<v Speaker 1>think Charlie's explanation of like the sort of natural mean

0:52:00.120 --> 0:52:02.800
<v Speaker 1>version of the people who participated in the markets was

0:52:02.920 --> 0:52:06.440
<v Speaker 1>helpful and again sort of like reasons to think that

0:52:06.680 --> 0:52:10.800
<v Speaker 1>even with a lot of speculative activity, that the nature

0:52:10.840 --> 0:52:15.000
<v Speaker 1>of them is more towards curbing large moves rather than

0:52:15.239 --> 0:52:17.360
<v Speaker 1>accelerating a large move. Well, it's kind of like the

0:52:17.440 --> 0:52:20.520
<v Speaker 1>bad news is short. You know, one or zero day

0:52:20.560 --> 0:52:23.680
<v Speaker 1>options might add to intra day volatility, but the good

0:52:23.760 --> 0:52:26.960
<v Speaker 1>news is it's intra day volatility. Yeah, it's only a day. Well,

0:52:27.000 --> 0:52:29.239
<v Speaker 1>that was so fascinating, Like the idea that's like, Okay,

0:52:29.320 --> 0:52:31.640
<v Speaker 1>something bad happened, so like everyone started to buy and

0:52:31.680 --> 0:52:34.480
<v Speaker 1>puts that pushes it down. People immediately want to start

0:52:34.600 --> 0:52:37.160
<v Speaker 1>monetizing their profits on that. I was like, oh, let's

0:52:37.160 --> 0:52:39.040
<v Speaker 1>do the call squeeze and now, because we know that

0:52:39.120 --> 0:52:41.719
<v Speaker 1>everyone's going to be monetizing. So you do sort of

0:52:41.800 --> 0:52:44.839
<v Speaker 1>get that sort of like it's volatile, but it's sort

0:52:44.840 --> 0:52:47.840
<v Speaker 1>of also dampening at the same time. It sounds like exactly,

0:52:48.080 --> 0:52:49.800
<v Speaker 1>shall we leave it there? Let's leave it there. This

0:52:49.960 --> 0:52:52.799
<v Speaker 1>has been another episode of the All Thoughts podcast. I'm

0:52:52.840 --> 0:52:55.440
<v Speaker 1>Tracy Alloway. You can follow me on Twitter at Tracy

0:52:55.480 --> 0:52:57.920
<v Speaker 1>Alloway and I'm Joe Why Isn't All? You can follow

0:52:58.000 --> 0:53:01.360
<v Speaker 1>me on Twitter at the Stalwart. Follow our producers Carmen

0:53:01.480 --> 0:53:05.920
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<v Speaker 1>and for more odd Lots content, go to Bloomberg dot

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