WEBVTT - The $300 Billion Structured Notes Market Is Booming

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts. Radio.

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<v Speaker 3>News.

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<v Speaker 4>Hello and welcome to another episode of the All Thoughts Podcast.

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<v Speaker 4>I'm Tracy Allaway.

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<v Speaker 2>And I'm Joe Weisenthal.

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<v Speaker 1>Joe, I'm going to warn you in advance.

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<v Speaker 4>This is one of those episodes that's going to come

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<v Speaker 4>with a lot of Greek letters, I think.

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<v Speaker 2>I like these episodes. You know, it's funny. Some people, listeners,

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<v Speaker 2>they'll tell us, they're like, you know, I love listening

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<v Speaker 2>to Odd Lots. I have to admit, there are a

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<v Speaker 2>few episodes I don't totally get what you're talking about.

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<v Speaker 3>And I'll be like, I don't really get what we're

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<v Speaker 3>talking about either.

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<v Speaker 2>But I, you know, I aspire.

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<v Speaker 1>But we like to aim high.

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<v Speaker 2>Yeah, we like to aim high on this podcast. That's right.

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<v Speaker 3>All right.

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<v Speaker 4>Well, I think this is actually an important episode. We're

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<v Speaker 4>going to be, I don't think we've ever devoted an

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<v Speaker 4>entire episode just to this topic. We probably touched on

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<v Speaker 4>it at various points in time. But today we're going

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<v Speaker 4>to be talking. about structured notes. And I think this

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<v Speaker 4>is important because we're used to talking about markets as

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<v Speaker 4>these sort of fundamentally driven things. Like what's the bull

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<v Speaker 4>case for AI? What's the bear case for AI?

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<v Speaker 1>But there are all.

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<v Speaker 4>These technical flows that also have an impact on markets.

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<v Speaker 4>And I think we're in one of those moments right now.

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<v Speaker 2>No, totally. So I think a couple of things. First

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<v Speaker 2>of all, you know, we are in this moment where like, look,

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<v Speaker 2>anything AI related has been up an extraordinary amount. over

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<v Speaker 2>the last few years. That's undisputable. And in fact, if

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<v Speaker 2>you look at like expectations going over the next couple

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<v Speaker 2>of years, all you see are various straight lines into

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<v Speaker 2>the right. So revenues, capital expenditure, all of it, it

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<v Speaker 2>all looks pretty good. But we are clearly in this

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<v Speaker 2>moment of turbulence. If you just look at, say, certain

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<v Speaker 2>aspects of the market, whether we're talking about some of

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<v Speaker 2>the neoclouds, whether we're looking at credit default swaps, even

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<v Speaker 2>credit default swaps on some of the really big companies

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<v Speaker 2>are starting to inch out. I mean, I hadn't seen

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<v Speaker 2>anyone post a chart of NVIDIA credit default swaps up

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<v Speaker 2>until recently, but they're inching up just a little bit.

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<v Speaker 2>There is clearly like, it's like the planes like rattling

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<v Speaker 2>at high speeds here. And one of the ways that

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<v Speaker 2>people have expressed bets on the AI trade is through

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<v Speaker 2>structured notes, which, as you've mentioned, we've mentioned in various episodes,

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<v Speaker 2>but I don't think we've really devoted an episode to them.

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<v Speaker 4>Yeah, so this is one of the things when markets

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<v Speaker 4>start to get kind of crazy, we tend to see

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<v Speaker 4>more of these structured products sold. So, you know, people

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<v Speaker 4>aren't satisfied with a 20% return in.

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<v Speaker 1>An AI name. They want to get 40% yields.

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<v Speaker 4>Yeah. through a structured note on, I don't know, a

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<v Speaker 4>core weave or something like that. And at the same time,

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<v Speaker 4>there are also investors out there who start to get

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<v Speaker 4>nervous at these valuations and they want to buy downside.

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<v Speaker 4>And that's what some of these structured notes are doing.

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<v Speaker 4>So today we do in fact have the perfect guest

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<v Speaker 4>for all of this.

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<v Speaker 1>We're going to be speaking.

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<v Speaker 4>With Alex Michelizzi, he is a managing director and international

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<v Speaker 4>head of equity structured notes over at Nomura. So Alex,

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<v Speaker 4>thank you so much for coming on All Thoughts.

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<v Speaker 3>And thank you so much for having me.

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<v Speaker 4>Why don't we go ahead and start with a super

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<v Speaker 4>basic question. How do we define a structured note or

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<v Speaker 4>a structured product? My personal preference is I like to

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<v Speaker 4>describe it as like a bank deposit or a bank IOU.

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<v Speaker 4>I don't know if they like met a derivative and

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<v Speaker 4>had a baby. This is what it would be. But

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<v Speaker 4>I'm sure you have a different definition.

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<v Speaker 3>I was thinking the same thing, actually. So yeah, you

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<v Speaker 3>give me $ 100 or you give the issuer $ 100 and

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<v Speaker 3>you're foregoing an interest rate. And in return, you take

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<v Speaker 3>the issuer's credit risk. and they customize something related to

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<v Speaker 3>the equity component. So there's two things there. Either we

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<v Speaker 3>customize participation, the interest that you missed, we'll give you

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<v Speaker 3>a call option, or we'll give you a call spread

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<v Speaker 3>or a fancy name for a call spread is a digital,

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<v Speaker 3>or we give you a bearish structure. You buy a

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<v Speaker 3>put or a put spread or a put digital, something

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<v Speaker 3>like that. Or the more common thing is yield. So

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<v Speaker 3>you've got this forgone interest rate, this, and this extra credit,

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<v Speaker 3>you can sell a put that premium. We then get

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<v Speaker 3>that premium and give you a coupon. And that coupon,

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<v Speaker 3>if it's really depends on how much you want to

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<v Speaker 3>amp up that yield. And so we can do things

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<v Speaker 3>with that, that make it take it away from, Hey,

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<v Speaker 3>I could do this on the listed market by buying

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<v Speaker 3>a put spread myself, and I could have the rest

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<v Speaker 3>of the money in a bank account. We do stuff

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<v Speaker 3>that enhances that yield. And generally that's in the, in

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<v Speaker 3>the form of an auto callable. You can also mix

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<v Speaker 3>and match. So there's a lot of bells and whistles here.

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<v Speaker 3>You can combine yield with participation and all these things,

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<v Speaker 3>depending on who's selling it, have different types of names,

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<v Speaker 3>but in effect, those are the three components. We take

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<v Speaker 3>your money. We either give you a participation, we give

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<v Speaker 3>you a yield and it's through a combination of options.

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<v Speaker 3>And an extra layer of that is we add certain

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<v Speaker 3>things to make the put that you're selling more desirable

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<v Speaker 3>to us. So you get a higher type of coupon.

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<v Speaker 2>Fantastic. I always think, and I've mentioned a couple of

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<v Speaker 2>times on the show that I love Manuel Derman. We've

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<v Speaker 2>had uses this analogy of the wall street bank as

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<v Speaker 2>a kitchen and they give, they sell fruit salad. They

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<v Speaker 2>buy a bunch of fruit in wholesale. apple. They buy

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<v Speaker 2>a bunch of fruit in wholesale, but then they can

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<v Speaker 2>chop it up in any different way possible to create

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<v Speaker 2>any instrument that me, the customer wants. And then they

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<v Speaker 2>sell it to me and then they charge a little margin.

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<v Speaker 2>And because they're capable of chopping up the fruit in

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<v Speaker 2>some way, any view that I want to express or

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<v Speaker 2>any concern or any risk that I want to hedge

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<v Speaker 2>with those raw ingredients, you can give me anything. Now,

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<v Speaker 2>who is the natural buyer? Because if I'm interested in AI,

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<v Speaker 2>I could buy SPY, I could buy QQQ, I could

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<v Speaker 2>buy a memory ETF. If I'm nervous, I could sell whatever.

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<v Speaker 2>Who are some of the natural buyers of structured products

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<v Speaker 2>from the bank?

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<v Speaker 3>Predominantly high net worth individuals through the private bank channels.

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<v Speaker 3>I would say that why they want this is people

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<v Speaker 3>understand a yield, right? And people understand what that means

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<v Speaker 3>relative to owning a linear stock and the type of

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<v Speaker 3>protection I can get. And so they can't, in a

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<v Speaker 3>lot of ways, they can't structure this themselves. They can't

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<v Speaker 3>go into the market. And we'll get into some of

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<v Speaker 3>the more popular types of trades, which involve worst ofs

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<v Speaker 3>and correlations and things like that and order callables. You

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<v Speaker 3>can't physically do that in a listed market space. And

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<v Speaker 3>so this product offers that ability to enhance yield that

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<v Speaker 3>you just can't. get by selling, say, a particular stock downside.

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<v Speaker 3>And with that comes, I think, what you initially said,

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<v Speaker 3>some of the complications and some of the things that

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<v Speaker 3>end up driving some of these market factors as well,

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<v Speaker 3>because how we end up hedging this and the residual

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<v Speaker 3>of what's left creates a very interesting dynamic that we're

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<v Speaker 3>starting to see in the market.

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<v Speaker 4>So you mentioned this particular moment in markets. Talk to

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<v Speaker 4>us about what we're seeing in terms of issuance or

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<v Speaker 4>what we have been seeing in terms of issuance.

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<v Speaker 1>I'm used to thinking.

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<v Speaker 4>about a lot of these things as single stock calls, right?

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<v Speaker 4>So again, something that's tied to a core weave, and

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<v Speaker 4>if the stock collapses by a certain amount before the

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<v Speaker 4>note actually matures, then you either get all your money

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<v Speaker 4>back with the interest or you lose out completely. But

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<v Speaker 4>I know that we've seen a lot more index products

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<v Speaker 4>as well.

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<v Speaker 3>Yeah. So there's a multitude of things going on. We

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<v Speaker 3>can start with index. So The stuff you're predominantly seeing

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<v Speaker 3>on the index, which is creating interesting market dynamics in

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<v Speaker 3>the longer dated option market is related to a US

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<v Speaker 3>issued type product. So if we look at the structured

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<v Speaker 3>product business in the US, it's got larger and larger.

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<v Speaker 3>I think SEC registered notes this year are on track

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<v Speaker 3>to hit about 300 billion versus approximately 200 billion last year.

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<v Speaker 3>And a large change has been, the biggest contributor is

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<v Speaker 3>S &amp; P, but the greatest growth has been worst

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<v Speaker 3>of order callables, which generally have S &amp; P, NASDAQ,

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<v Speaker 3>and Russell. And why that's the case is you look

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<v Speaker 3>at something like the Russell Index, and for many years

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<v Speaker 3>it was basically sideways. And from Liberation Day last year,

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<v Speaker 3>it's effectively been in a straight line. So it's meant

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<v Speaker 3>that these auto-callables that have been issued on this have

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<v Speaker 3>knocked out, which is a whole topic we should talk

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<v Speaker 3>about in and of itself. So let's just step back

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<v Speaker 3>a second. An auto-callable, why is it different? Why is

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<v Speaker 3>it giving you a larger yield than just a plain

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<v Speaker 3>structured product? So- An auto callable is a product that

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<v Speaker 3>can knock out earlier than its effective maturity date. Generally,

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<v Speaker 3>if the stock is above its initial performance and it's

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<v Speaker 3>periodically looked at. So we generally will put on a

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<v Speaker 3>trade and let's start with a simple S &amp; P. Yeah.

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<v Speaker 3>Three year trade or five year trade that we observe

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<v Speaker 3>every three or six months. If after six months, this

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<v Speaker 3>S &amp; P is higher than when you initially put

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<v Speaker 3>it on, the product disappears and knocks out. And so

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<v Speaker 3>that yield is the last time you're going to get

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<v Speaker 3>the yield on this product. Then you have to reset.

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<v Speaker 3>Why does that give you a higher yield than just

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<v Speaker 3>selling a three-year put on S &amp; P? Well, a

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<v Speaker 3>put is worth more as an index or stock goes down.

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<v Speaker 3>So from my point of view, if S &amp; P

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<v Speaker 3>has rallied, this put in and of itself is worth less.

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<v Speaker 3>So I don't have to worry about it anymore and

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<v Speaker 3>it's got less value. So you're taking a contingent bet now.

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<v Speaker 3>And that increases the yield of the product. I don't

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<v Speaker 3>need to put S &amp; Ps up 30% if its

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<v Speaker 3>value is a lot less than where it was beforehand.

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<v Speaker 3>But it also creates a risk for an investor. If

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<v Speaker 3>markets are volatile and you enter this product, it means

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<v Speaker 3>implied volatility is higher. The premium that I get to

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<v Speaker 3>be able to invest in a coupon is higher. But

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<v Speaker 3>if we rally and volatility falls, my reinvestment risk now

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<v Speaker 3>is that the coupon yield I get the next time

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<v Speaker 3>around is lower.

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<v Speaker 1>It's like convexity in mortgages, I guess.

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<v Speaker 3>Yeah, it's a relationship between the direction of the market

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<v Speaker 3>and volatility. We generally think that as markets go up,

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<v Speaker 3>volatility goes down. To some extent, as markets go down,

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<v Speaker 3>volatility goes up. And so that dynamic is important in

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<v Speaker 3>this product. So an auto callable gives you a higher

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<v Speaker 3>yield because of that feature.

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<v Speaker 2>Why is it called an auto callable?

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<v Speaker 3>Because.

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<v Speaker 2>Let's talk about this word.

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<v Speaker 3>Yeah. Auto on day one, once we put the initial,

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<v Speaker 3>once we know where the initial spot price is.

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<v Speaker 2>Yeah.

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<v Speaker 3>We will periodically look at its value.

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<v Speaker 2>Yeah.

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<v Speaker 3>And it will auto knockout if the value.

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<v Speaker 2>What does knockout mean?

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<v Speaker 3>Knockout means the product. I'll give you a hundred dollars back.

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<v Speaker 2>Yeah.

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<v Speaker 3>I'll give you a coupon.

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<v Speaker 4>Yeah.

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<v Speaker 3>We're out. So we started with a three-year product. We

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<v Speaker 3>have sold it every three months. Stock has gone up

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<v Speaker 3>or the index has gone up. It's knocked out. Basically,

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<v Speaker 3>the trade terminates.

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<v Speaker 2>Oh, I see.

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<v Speaker 3>As opposed to having a three-year termination, it's now a

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<v Speaker 3>three-month termination.

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<v Speaker 2>Actually, let's stick with this because we really need to

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<v Speaker 2>understand this in detail. I entered this trade. Let's just say,

0:11:35.490 --> 0:11:38.450
<v Speaker 2>let's keep it super vanilla. Let's just say it was

0:11:38.610 --> 0:11:40.050
<v Speaker 2>one index. S &amp; P 500 or NASDAQ or something

0:11:40.090 --> 0:11:44.980
<v Speaker 2>like that. I entered it a year ago. I gave

0:11:45.000 --> 0:11:48.079
<v Speaker 2>you $ 100. What are you telling me I get back

0:11:49.380 --> 0:11:50.960
<v Speaker 2>for that? For $ 100, what am I getting?

0:11:51.260 --> 0:11:55.480
<v Speaker 3>You're going to get a coupon when it will pay

0:11:55.980 --> 0:11:58.800
<v Speaker 3>whatever periodically, and you will get down.

0:11:58.900 --> 0:12:01.170
<v Speaker 2>Presumably higher than what I would get on the treasury?

0:12:01.730 --> 0:12:04.890
<v Speaker 3>Yes. Okay. Well, it depends on other factors as well,

0:12:04.910 --> 0:12:09.010
<v Speaker 3>because you may want to have some participation. Some equity exposure. Yeah, exactly. Participation.

0:12:09.050 --> 0:12:12.179
<v Speaker 3>Got it. But generally, that's the sort of benchmark where

0:12:12.420 --> 0:12:14.400
<v Speaker 3>people are not very interested if they're getting less than

0:12:14.420 --> 0:12:17.000
<v Speaker 3>the risk-free rate. But in order to give you a

0:12:17.100 --> 0:12:21.140
<v Speaker 3>higher level than the risk-free rate, you're also selling some

0:12:21.179 --> 0:12:22.980
<v Speaker 3>sort of put option to me.

0:12:23.240 --> 0:12:23.540
<v Speaker 2>I see.

0:12:23.900 --> 0:12:27.110
<v Speaker 3>And there's variations on that put option. We've been in

0:12:27.150 --> 0:12:30.150
<v Speaker 3>an upward market for a long time, so we haven't... Sorry.

0:12:30.809 --> 0:12:35.140
<v Speaker 2>No, no. So this is great. So I give you $ 100.

0:12:34.500 --> 0:12:36.540
<v Speaker 2>You are going to give me some coupon that is

0:12:36.600 --> 0:12:40.280
<v Speaker 2>presumably higher than I could get just by paying a treasury.

0:12:40.300 --> 0:12:44.350
<v Speaker 2>And in return, essentially what I am giving up is

0:12:44.429 --> 0:12:47.710
<v Speaker 2>some participation in this upward move of the stock market.

0:12:47.770 --> 0:12:50.730
<v Speaker 3>Some participation. And in a lot of cases, you are

0:12:50.770 --> 0:12:55.730
<v Speaker 3>taking a downside risk, which isn't linear to the S &amp;

0:12:55.410 --> 0:13:00.010
<v Speaker 3>P performance. There's generally a buffer, some protection. And there's

0:13:00.330 --> 0:13:03.170
<v Speaker 3>variations of what that protection is. So if we say,

0:13:03.190 --> 0:13:06.430
<v Speaker 3>we'll take a typical example of a knock input and

0:13:06.450 --> 0:13:07.830
<v Speaker 3>we'll put a 60% strike. All right.

0:13:08.210 --> 0:13:09.110
<v Speaker 2>Let's talk about what that means.

0:13:09.370 --> 0:13:12.709
<v Speaker 3>So that means that if S &amp; P, you start

0:13:12.929 --> 0:13:15.250
<v Speaker 3>day one at a hundred dollars and it's a one year,

0:13:15.270 --> 0:13:16.969
<v Speaker 3>say it's a one year trade and we observe it

0:13:17.030 --> 0:13:20.390
<v Speaker 3>every three months on the auto call ability. If S &amp;

0:13:19.890 --> 0:13:25.500
<v Speaker 3>P is down 20%, you still have protection until you

0:13:25.580 --> 0:13:27.080
<v Speaker 3>hit down 40%.

0:13:27.080 --> 0:13:27.260
<v Speaker 4>Okay.

0:13:28.380 --> 0:13:31.699
<v Speaker 3>At which this will treat, in this example of a

0:13:31.720 --> 0:13:35.520
<v Speaker 3>knock input, you will get the same equity participation as

0:13:35.580 --> 0:13:38.140
<v Speaker 3>of earning S &amp; P. So you get all the

0:13:38.179 --> 0:13:41.350
<v Speaker 3>downside as if from $ 100, but it has to be

0:13:41.370 --> 0:13:44.530
<v Speaker 3>below 60. That's a general structure. Other structures are you

0:13:44.550 --> 0:13:47.650
<v Speaker 3>just sell a vanilla put there. So your put payoff

0:13:47.730 --> 0:13:51.010
<v Speaker 3>comes in at that 60% point. But there's a lot

0:13:51.030 --> 0:13:53.980
<v Speaker 3>of variations, bells and whistles on that. And that creates

0:13:54.030 --> 0:13:58.000
<v Speaker 3>a digital exposure, which we'll talk about because that drives

0:13:58.040 --> 0:14:00.380
<v Speaker 3>a lot of what we're seeing in the market. And

0:14:01.120 --> 0:14:04.390
<v Speaker 3>the more... risk you take, for example, take the example

0:14:04.730 --> 0:14:09.050
<v Speaker 3>of the 60% knock-in at a hundred from 60% down

0:14:09.090 --> 0:14:11.929
<v Speaker 3>to zero, I basically have a hundred percent risk. So

0:14:11.970 --> 0:14:13.489
<v Speaker 3>basically if I go down to zero, I've lost a

0:14:13.510 --> 0:14:18.130
<v Speaker 3>hundred dollars. And so I can expect to get more

0:14:18.490 --> 0:14:21.410
<v Speaker 3>premium for that as opposed to just selling a vanilla

0:14:21.450 --> 0:14:24.010
<v Speaker 3>put where the most I can lose is 40%. And

0:14:24.050 --> 0:14:25.500
<v Speaker 3>that changes the coupon as well.

0:14:41.620 --> 0:14:44.800
<v Speaker 4>You mentioned worst of auto callables before. When did those

0:14:44.860 --> 0:14:48.060
<v Speaker 4>become a thing? Because the idea of like tying a

0:14:48.280 --> 0:14:52.640
<v Speaker 4>product to the single worst performing stock seems kind of

0:14:52.740 --> 0:14:53.480
<v Speaker 4>risky to me.

0:14:53.700 --> 0:14:55.380
<v Speaker 1>And yet they seem to have become more popular.

0:14:55.900 --> 0:15:00.100
<v Speaker 3>Yeah, I'd say they've, so historically they've always been there.

0:15:00.180 --> 0:15:03.180
<v Speaker 3>Like I can't remember a time not having a worst of.

0:15:03.800 --> 0:15:08.340
<v Speaker 3>It comes down to the yield factor. So what is

0:15:08.400 --> 0:15:10.990
<v Speaker 3>a worst of? Instead, in the example we just had now,

0:15:11.540 --> 0:15:14.540
<v Speaker 3>We had S &amp; P and it's down 40%. We

0:15:14.560 --> 0:15:16.900
<v Speaker 3>take a typical structure in the market that has S &amp; P,

0:15:16.940 --> 0:15:20.200
<v Speaker 3>NASDAQ and Russell and the worst of, we now observe

0:15:20.260 --> 0:15:23.580
<v Speaker 3>the worst performer. So you could have two of these

0:15:23.640 --> 0:15:27.300
<v Speaker 3>indices up 20% and you could have, you know, the

0:15:27.760 --> 0:15:29.680
<v Speaker 3>main street, wall street sort of trade. And one of

0:15:29.710 --> 0:15:34.590
<v Speaker 3>these indices really underperform, you could end up with that put.

0:15:35.210 --> 0:15:40.200
<v Speaker 3>And so it's, going to derive more premium, more premium

0:15:40.280 --> 0:15:43.870
<v Speaker 3>from just selling a one index, which gives you a

0:15:44.310 --> 0:15:49.050
<v Speaker 3>high yield. And it's also going to create additional risk

0:15:49.090 --> 0:15:51.970
<v Speaker 3>factors for us because we have to model how these

0:15:52.070 --> 0:15:56.750
<v Speaker 3>three things are moving together. And also it means that

0:15:56.830 --> 0:16:00.290
<v Speaker 3>there are cases where what's the best, what's a great

0:16:00.350 --> 0:16:02.890
<v Speaker 3>outcome for someone who has this yield and say it

0:16:02.930 --> 0:16:05.200
<v Speaker 3>was done during a time of turbulence and the yield

0:16:05.220 --> 0:16:08.790
<v Speaker 3>is very high. The best sort of outcome is two

0:16:08.820 --> 0:16:10.740
<v Speaker 3>of these stocks rally and one of the stocks is

0:16:10.800 --> 0:16:13.340
<v Speaker 3>marginally down and just stays there and the volatility on

0:16:13.360 --> 0:16:17.280
<v Speaker 3>this thing does nothing and it goes sideways. You have now,

0:16:17.580 --> 0:16:19.800
<v Speaker 3>I wouldn't say locked in, but you now have a

0:16:19.840 --> 0:16:23.200
<v Speaker 3>relatively higher yield than just doing S &amp; P that's

0:16:23.240 --> 0:16:27.660
<v Speaker 3>gone up, right? That complexity of trying to monitor the

0:16:27.740 --> 0:16:31.830
<v Speaker 3>worst one and being able to hedge it, is, I think,

0:16:31.870 --> 0:16:34.800
<v Speaker 3>a segue to what's trading in the market and why

0:16:34.820 --> 0:16:37.400
<v Speaker 3>it's creating this market dynamic, or why it's grown, sorry.

0:16:37.860 --> 0:16:41.340
<v Speaker 3>And so you look at the three assets, the Russell,

0:16:41.680 --> 0:16:44.940
<v Speaker 3>S &amp; P, and NASDAQ trade, you basically have had

0:16:45.950 --> 0:16:49.150
<v Speaker 3>all three of these indices and Russell over the last year.

0:16:49.190 --> 0:16:53.330
<v Speaker 3>Russell was effectively sideways for many years. It's now performed

0:16:53.390 --> 0:16:57.450
<v Speaker 3>a lot better. And so think about this. What drives

0:16:57.510 --> 0:17:00.550
<v Speaker 3>volumes in an order call is a knockout. I can

0:17:00.590 --> 0:17:04.439
<v Speaker 3>have a five-year trade, but if these three indices or

0:17:04.480 --> 0:17:09.580
<v Speaker 3>three stocks or whatever go up every three months, I

0:17:09.619 --> 0:17:13.250
<v Speaker 3>can do a five-year trade now has the same notion

0:17:13.290 --> 0:17:16.450
<v Speaker 3>of every three months. So that volume goes up considerably.

0:17:17.340 --> 0:17:20.480
<v Speaker 4>Just before we get more into the market impact of

0:17:20.560 --> 0:17:22.820
<v Speaker 4>all of these, talk to us about what's happening, I guess,

0:17:22.920 --> 0:17:25.780
<v Speaker 4>on your side of the desk when you actually issue

0:17:25.920 --> 0:17:28.899
<v Speaker 4>one of these products. So you mentioned having to model

0:17:28.940 --> 0:17:32.150
<v Speaker 4>the correlation between three indices just then. What's the first

0:17:32.190 --> 0:17:33.750
<v Speaker 4>thing you do when you sell one of these?

0:17:33.770 --> 0:17:36.450
<v Speaker 3>Okay. So the first thing we do is we eliminate

0:17:36.570 --> 0:17:39.330
<v Speaker 3>the delta. So we hedge the delta. That's the simplest thing.

0:17:39.369 --> 0:17:41.430
<v Speaker 3>We're not taking a directional view.

0:17:41.450 --> 0:17:42.350
<v Speaker 2>Is that some Greek letter?

0:17:43.410 --> 0:17:44.390
<v Speaker 3>Yes, it is a Greek letter.

0:17:44.410 --> 0:17:45.250
<v Speaker 2>What does it mean again?

0:17:45.410 --> 0:17:46.570
<v Speaker 1>I said there'd be Greek letters.

0:17:46.590 --> 0:17:47.090
<v Speaker 3>I don't know.

0:17:47.230 --> 0:17:48.210
<v Speaker 2>What's the delta again?

0:17:48.690 --> 0:17:51.910
<v Speaker 3>The delta is the relationship between the price of this

0:17:51.990 --> 0:17:56.000
<v Speaker 3>product and the spot price of a stock.

0:17:56.200 --> 0:17:56.400
<v Speaker 2>Okay.

0:17:57.260 --> 0:17:57.420
<v Speaker 4>Right.

0:17:57.960 --> 0:17:58.240
<v Speaker 3>Excellent.

0:17:58.280 --> 0:17:59.460
<v Speaker 2>Keep going. Right.

0:17:59.500 --> 0:18:04.440
<v Speaker 3>So this product is bullish in nature. So as the

0:18:04.460 --> 0:18:06.780
<v Speaker 3>market goes down, we went through that 6,100 thing.

0:18:06.859 --> 0:18:07.090
<v Speaker 2>Yeah.

0:18:07.330 --> 0:18:09.530
<v Speaker 3>I'm on the other side of it. So I have

0:18:09.570 --> 0:18:13.380
<v Speaker 3>a short delta position. I'm short the market. The first

0:18:13.390 --> 0:18:15.540
<v Speaker 3>thing we do is we hedge that out. Now we're

0:18:15.580 --> 0:18:19.899
<v Speaker 3>left with more interesting Greeks. And so at a headline level,

0:18:20.520 --> 0:18:23.379
<v Speaker 3>what have we got? And let's take the example of

0:18:23.460 --> 0:18:27.560
<v Speaker 3>the one year single S &amp; P example, and let's

0:18:27.600 --> 0:18:31.140
<v Speaker 3>take the auto call. The maximum maturity of this thing

0:18:31.400 --> 0:18:34.020
<v Speaker 3>is one year. And I own some sort of put

0:18:34.260 --> 0:18:39.100
<v Speaker 3>on that one year trade with the risk of this

0:18:39.160 --> 0:18:43.070
<v Speaker 3>thing not existing every three, six, nine, 12 months. So

0:18:43.119 --> 0:18:46.250
<v Speaker 3>I've got Vega on this put, and what's Vega?

0:18:46.270 --> 0:18:47.790
<v Speaker 2>Thank you.

0:18:48.910 --> 0:18:54.210
<v Speaker 3>Vega is the put sensitivity to the implied volatility. I've

0:18:54.230 --> 0:18:59.610
<v Speaker 3>got Vega there, and I've got these quarterly knockout features.

0:19:00.510 --> 0:19:03.330
<v Speaker 3>So what are they? What is a knockout? A knockout

0:19:03.510 --> 0:19:07.420
<v Speaker 3>is a fancy way of saying a digital and a

0:19:08.119 --> 0:19:11.060
<v Speaker 3>less fancy way of saying it's a call spread. I've

0:19:11.100 --> 0:19:14.240
<v Speaker 3>got three call spreads there. that I look at. And

0:19:14.280 --> 0:19:17.820
<v Speaker 3>so that, that is a lot of options in that phase.

0:19:17.859 --> 0:19:21.179
<v Speaker 3>And so what do we do? What, what do we

0:19:21.220 --> 0:19:23.960
<v Speaker 3>have headline Greeks? So we look at our Vega and

0:19:24.700 --> 0:19:27.510
<v Speaker 3>a lot of my exotic brethren will probably go, well,

0:19:27.730 --> 0:19:30.270
<v Speaker 3>that's not technically correct, but the way we generally look

0:19:30.290 --> 0:19:33.770
<v Speaker 3>at it is when do we expect, how long do

0:19:33.790 --> 0:19:38.290
<v Speaker 3>we expect this thing to last? And it's probably gonna,

0:19:38.650 --> 0:19:42.050
<v Speaker 3>we can model that sort of, and just say in

0:19:42.090 --> 0:19:45.620
<v Speaker 3>this example, we say it's going to last six months.

0:19:47.140 --> 0:19:51.540
<v Speaker 3>We will assign the vega of this put at the

0:19:51.580 --> 0:19:53.820
<v Speaker 3>six month level, and we'll go to the listed market

0:19:54.180 --> 0:19:58.330
<v Speaker 3>and we'll sell some sort of downside because it's related

0:19:58.350 --> 0:20:01.890
<v Speaker 3>to that 60% strike and sell that out there. That's

0:20:01.950 --> 0:20:03.430
<v Speaker 3>not really what's in this product.

0:20:03.830 --> 0:20:06.110
<v Speaker 4>Can I ask really quickly, who do you actually sell

0:20:06.350 --> 0:20:07.150
<v Speaker 4>that vega to?

0:20:07.730 --> 0:20:12.840
<v Speaker 3>Yeah. We generally use the broker or listed market. So

0:20:12.880 --> 0:20:15.770
<v Speaker 3>we will go to the S &amp; P market makers

0:20:15.810 --> 0:20:18.590
<v Speaker 3>in this case, and we will go there. We'll either

0:20:18.630 --> 0:20:23.990
<v Speaker 3>do it on screens or via the broker market. It's

0:20:24.030 --> 0:20:26.590
<v Speaker 3>generally what we do in this case. With the trend,

0:20:28.810 --> 0:20:30.379
<v Speaker 3>we'll go to the trend a little bit later because

0:20:30.390 --> 0:20:33.260
<v Speaker 3>I think it's important to understand why it's an imperfect

0:20:33.480 --> 0:20:39.560
<v Speaker 3>hedge and what disruption that causes and how dealers, my

0:20:39.800 --> 0:20:44.520
<v Speaker 3>colleagues have changed some of the trading methodologies as well.

0:20:44.920 --> 0:20:48.350
<v Speaker 2>Let's talk a little bit about the action that we're

0:20:48.410 --> 0:20:51.369
<v Speaker 2>seeing these days. And I guess to understand maybe the action,

0:20:51.430 --> 0:20:53.850
<v Speaker 2>these days markets have gotten a little bit, like I said,

0:20:53.869 --> 0:20:56.530
<v Speaker 2>it feels like the plane is like rumbling a little

0:20:56.550 --> 0:20:59.760
<v Speaker 2>bit or something at high speeds. But before maybe we

0:20:59.800 --> 0:21:03.139
<v Speaker 2>understand right now, let's maybe start and go back to

0:21:03.180 --> 0:21:05.899
<v Speaker 2>the start of the year. Let's start, okay, we're talking

0:21:05.940 --> 0:21:08.550
<v Speaker 2>about We're talking to you at the beginning of 2026,

0:21:08.550 --> 0:21:12.520
<v Speaker 2>or maybe March 2026, three months ago or whatever. What

0:21:12.540 --> 0:21:15.379
<v Speaker 2>are popular things that you're selling and what are the

0:21:15.440 --> 0:21:18.560
<v Speaker 2>popular thing to clients? And then what are the popular

0:21:18.600 --> 0:21:20.580
<v Speaker 2>trades you're putting on to hedge those trades?

0:21:20.780 --> 0:21:23.840
<v Speaker 3>Yeah. So I would say it's bifurcated. There's an index side.

0:21:24.180 --> 0:21:26.179
<v Speaker 3>So US registered stuff, we talked about the 300 billion

0:21:26.680 --> 0:21:29.940
<v Speaker 3>run rate. And then there's the single stocks stuff, which

0:21:30.020 --> 0:21:34.679
<v Speaker 3>is a very similar concept, but It's the, when we

0:21:34.720 --> 0:21:37.869
<v Speaker 3>talk about maturities and we talk about these knockout dates,

0:21:38.350 --> 0:21:42.310
<v Speaker 3>it's basically shrunk to a level that's creating a different dynamic.

0:21:42.830 --> 0:21:45.449
<v Speaker 3>Let's start at the beginning of the year. So markets

0:21:45.710 --> 0:21:50.030
<v Speaker 3>are going up. This product is effectively on the single

0:21:50.050 --> 0:21:52.649
<v Speaker 3>stock side, on the index side is knocking out the

0:21:52.730 --> 0:21:55.110
<v Speaker 3>single stock side is a lot faster because we observe

0:21:55.170 --> 0:21:57.170
<v Speaker 3>it instead of every three months. Some of this stuff

0:21:57.210 --> 0:22:00.870
<v Speaker 3>we observe every day. And so this stuff is churning

0:22:01.210 --> 0:22:05.409
<v Speaker 3>a lot and In terms of hedges, there's less hedges

0:22:05.490 --> 0:22:11.389
<v Speaker 3>because there's less vega because the product isn't extending because

0:22:11.450 --> 0:22:14.910
<v Speaker 3>markets are going up. So this is a pretty virtuous

0:22:15.190 --> 0:22:19.190
<v Speaker 3>cycle because it trades out, one comes in, and your

0:22:19.230 --> 0:22:21.369
<v Speaker 3>day one hedges are working and you don't have to

0:22:21.390 --> 0:22:25.210
<v Speaker 3>think too much about it. And then it's all hunky dory,

0:22:25.609 --> 0:22:29.379
<v Speaker 3>as we say, until we hit some turbulence and certain

0:22:29.390 --> 0:22:35.869
<v Speaker 3>stocks go down. And indices go down and that hedge,

0:22:36.010 --> 0:22:40.160
<v Speaker 3>which isn't static and needs to be dynamic, changes. And

0:22:40.180 --> 0:22:44.300
<v Speaker 3>the participant, the value of where I can hedge in

0:22:44.340 --> 0:22:47.940
<v Speaker 3>terms of that implied volatility has also changed because a

0:22:48.940 --> 0:22:51.280
<v Speaker 3>lot of people need to hedge at the same time.

0:22:51.960 --> 0:22:55.250
<v Speaker 3>And some of the counterparties that were used outside of

0:22:55.290 --> 0:22:59.320
<v Speaker 3>the listed market and IDB are pulling back because of turbulence.

0:22:59.400 --> 0:23:02.520
<v Speaker 3>And so you have this concurrent effect of a lot

0:23:02.540 --> 0:23:06.840
<v Speaker 3>of dealers have to now sell more optionality as markets

0:23:06.960 --> 0:23:11.080
<v Speaker 3>are coming off. And a lot of the, I guess

0:23:11.359 --> 0:23:14.470
<v Speaker 3>the demand for it is also fading come August.

0:23:14.790 --> 0:23:17.629
<v Speaker 4>So just to be clear, you're left in a situation

0:23:17.670 --> 0:23:19.930
<v Speaker 4>where the dealers or the issuers have a lot more

0:23:19.990 --> 0:23:23.210
<v Speaker 4>Vega that they need to offload at the same time

0:23:23.310 --> 0:23:26.760
<v Speaker 4>that I guess primarily the market makers are a lot

0:23:26.800 --> 0:23:29.260
<v Speaker 4>more reluctant to take on that Vega.

0:23:29.560 --> 0:23:34.760
<v Speaker 3>That is very well described. Yes. And again, that's because

0:23:35.980 --> 0:23:39.810
<v Speaker 3>what was disappearing or knocking out every three months now

0:23:40.730 --> 0:23:44.619
<v Speaker 3>seems to be having an extended maturity. because the spot

0:23:44.630 --> 0:23:48.480
<v Speaker 3>prices come down. And I think the market makers are

0:23:49.000 --> 0:23:52.960
<v Speaker 3>seeing all the supply come as these indices and stocks

0:23:53.060 --> 0:23:56.220
<v Speaker 3>are coming off and going, well, what's happened? Like the

0:23:56.260 --> 0:23:59.199
<v Speaker 3>last nine or the last seven to eight months, we

0:23:59.240 --> 0:24:01.960
<v Speaker 3>didn't see this. Now we're seeing it. There's a yin

0:24:02.000 --> 0:24:05.189
<v Speaker 3>and yang to this though. And we've seen it on

0:24:05.369 --> 0:24:08.550
<v Speaker 3>a lot of V-shaped recoveries. It's, hey, I've got this

0:24:08.630 --> 0:24:11.030
<v Speaker 3>product and I think in all fairness, if we look

0:24:11.070 --> 0:24:14.030
<v Speaker 3>at the worst of three, it's generally three to five years.

0:24:14.470 --> 0:24:17.430
<v Speaker 3>So that's where the, that's where, and with say an

0:24:17.490 --> 0:24:20.260
<v Speaker 3>expected life, we call it when we expect that maturity

0:24:20.300 --> 0:24:23.240
<v Speaker 3>to knock out of about two years, we see dealers

0:24:23.780 --> 0:24:26.020
<v Speaker 3>hedging more and more of that as the markets come off.

0:24:27.040 --> 0:24:31.340
<v Speaker 3>But all of a sudden, if these indices start to

0:24:31.440 --> 0:24:36.160
<v Speaker 3>rally again, we could have a situation where this product

0:24:36.200 --> 0:24:41.030
<v Speaker 3>knocks out in three months. And I am left just

0:24:41.090 --> 0:24:47.359
<v Speaker 3>with my short hedges in the market and the supply

0:24:47.540 --> 0:24:51.040
<v Speaker 3>is not yet there from my auto callable. So there's

0:24:51.080 --> 0:24:54.960
<v Speaker 3>a situation where dealers can be left short, a lot

0:24:54.980 --> 0:24:57.820
<v Speaker 3>of vaguer on the street. just on a small rally.

0:24:57.840 --> 0:25:00.189
<v Speaker 3>And in all fairness, we're not too far from all-time

0:25:00.230 --> 0:25:00.970
<v Speaker 3>highs as it is.

0:25:01.270 --> 0:25:04.710
<v Speaker 2>It's the funny thing. It's just the funny thing. We

0:25:04.730 --> 0:25:08.310
<v Speaker 2>do these things like, oh my God, the volatility, et cetera.

0:25:08.330 --> 0:25:10.429
<v Speaker 2>And we're like, we're like one and a half percent,

0:25:10.540 --> 0:25:12.439
<v Speaker 2>I don't know, from an all-time high. It's kind of,

0:25:13.960 --> 0:25:15.439
<v Speaker 2>the stock market's doing fine.

0:25:15.660 --> 0:25:18.600
<v Speaker 4>Well, is this part of the, your colleague at Nomura,

0:25:18.640 --> 0:25:20.720
<v Speaker 4>who's been on the show a number of times, Charlie McElligot,

0:25:20.780 --> 0:25:21.360
<v Speaker 4>he calls.

0:25:21.160 --> 0:25:24.129
<v Speaker 1>This the spot up, vol up. regime, right?

0:25:24.210 --> 0:25:26.930
<v Speaker 4>Is this like part of why we're getting that situation?

0:25:27.270 --> 0:25:30.470
<v Speaker 3>Yes. I would say it's even more prevalent on the

0:25:30.530 --> 0:25:33.770
<v Speaker 3>single stock side, but on the index side, we are

0:25:33.810 --> 0:25:37.320
<v Speaker 3>definitely seeing that just because of the growth of the

0:25:37.359 --> 0:25:40.500
<v Speaker 3>worst of and the growth of the US SEC registered notes.

0:25:40.880 --> 0:25:44.400
<v Speaker 3>We're seeing that dynamic in the longer dated and there's

0:25:44.420 --> 0:25:49.080
<v Speaker 3>just been, I guess, less capital committed to that vaguer

0:25:49.160 --> 0:25:52.340
<v Speaker 3>or Less understanding of what's driving it. And it's basically

0:25:52.440 --> 0:25:55.359
<v Speaker 3>this that's driving it. This factor that we just have

0:25:55.480 --> 0:25:59.419
<v Speaker 3>more of this stuff in this bucket. On the shorter

0:25:59.460 --> 0:26:03.100
<v Speaker 3>dated stuff, when we look at single stock, it's been

0:26:03.119 --> 0:26:08.690
<v Speaker 3>driven by the same product, but the product complexity, it

0:26:08.770 --> 0:26:13.030
<v Speaker 3>goes to another level. So when we talked about how

0:26:13.070 --> 0:26:15.530
<v Speaker 3>do we get a higher yield and we said, hey,

0:26:15.830 --> 0:26:19.170
<v Speaker 3>let's put these auto calls in there. There are other

0:26:19.210 --> 0:26:21.480
<v Speaker 3>things we can do to get a higher yield as well.

0:26:21.580 --> 0:26:28.200
<v Speaker 3>So we can put contingent coupons. So that basically means

0:26:28.560 --> 0:26:31.900
<v Speaker 3>that I won't pay you this coupon if the stock

0:26:31.940 --> 0:26:34.270
<v Speaker 3>or the worst of has fallen too much. So that's

0:26:34.310 --> 0:26:37.070
<v Speaker 3>another thing we can do. We can also, instead of

0:26:37.130 --> 0:26:41.830
<v Speaker 3>having the observation every three months, we can have it daily.

0:26:42.430 --> 0:26:46.119
<v Speaker 3>And so that means any rally, this thing's gone. And

0:26:46.619 --> 0:26:51.040
<v Speaker 3>if you look at something like that, It becomes very,

0:26:51.119 --> 0:26:55.100
<v Speaker 3>very binary. Generally in this type of structure, it's on

0:26:55.200 --> 0:26:58.939
<v Speaker 3>single stock name, worst of three. We let the stocks breathe,

0:26:58.960 --> 0:27:01.460
<v Speaker 3>for want of a better term, for a month. And

0:27:01.480 --> 0:27:04.200
<v Speaker 3>then we start observations on a daily basis. And these

0:27:04.240 --> 0:27:06.800
<v Speaker 3>things typically go from six months to 18 months, maybe

0:27:06.880 --> 0:27:10.420
<v Speaker 3>two years. So on every day, I might be left

0:27:10.460 --> 0:27:14.949
<v Speaker 3>with no option, no vega, no put. Or if one

0:27:14.970 --> 0:27:18.070
<v Speaker 3>of these stocks goes down, I'm left with a lot

0:27:18.470 --> 0:27:23.320
<v Speaker 3>of put value in that one year timeframe. So either

0:27:23.480 --> 0:27:26.370
<v Speaker 3>I have vol here or I don't, and I'm now

0:27:26.420 --> 0:27:29.710
<v Speaker 3>observing it every single day. So it's creating this on

0:27:29.830 --> 0:27:33.470
<v Speaker 3>off type of market in, in the single stock names.

0:27:33.850 --> 0:27:35.950
<v Speaker 2>Just to be clear, if I'm one of these high

0:27:35.970 --> 0:27:40.350
<v Speaker 2>net worth investors and I buy one of these nodes,

0:27:40.910 --> 0:27:43.790
<v Speaker 2>what do I typically want to happen? I want it

0:27:43.830 --> 0:27:46.750
<v Speaker 2>to last the entire lifetime and just keep clipping the

0:27:46.790 --> 0:27:50.590
<v Speaker 2>max coupon possible. Like what is the sort of ideal

0:27:50.710 --> 0:27:52.410
<v Speaker 2>market regime for me as the buyer?

0:27:52.900 --> 0:27:55.679
<v Speaker 3>As the buyer, the market regime, things are very volatile.

0:27:56.820 --> 0:27:59.359
<v Speaker 3>So my yield from this put selling is very high

0:28:00.020 --> 0:28:05.479
<v Speaker 3>and things quieten down and markets have drifted lower. Not

0:28:05.520 --> 0:28:08.270
<v Speaker 3>in a volatile way, but they've just drifted lower and

0:28:08.330 --> 0:28:11.109
<v Speaker 3>the world has become nice again and I'm left with

0:28:11.130 --> 0:28:15.470
<v Speaker 3>this really high coupon for as long as possible. That

0:28:15.510 --> 0:28:16.470
<v Speaker 3>is the outcome.

0:28:16.730 --> 0:28:18.870
<v Speaker 2>So if it goes up too fast, Then the note

0:28:18.930 --> 0:28:21.230
<v Speaker 2>is over and I don't get all my coupons. If

0:28:21.270 --> 0:28:24.730
<v Speaker 2>the market plunges, then I'm actually potentially in the red

0:28:24.810 --> 0:28:27.380
<v Speaker 2>because I'm outside of this buffer zone and I'm actually exposed.

0:28:27.700 --> 0:28:29.720
<v Speaker 2>But we get this nice little quiet thing, maybe a

0:28:29.740 --> 0:28:32.900
<v Speaker 2>little bit lower, et cetera. Then I get that coupon.

0:28:33.080 --> 0:28:35.140
<v Speaker 2>It lasts for a very long time and I'm not

0:28:35.160 --> 0:28:36.100
<v Speaker 2>picking up any downside.

0:28:36.359 --> 0:28:38.780
<v Speaker 3>Exactly. That's what you want. And so when we get

0:28:38.820 --> 0:28:43.410
<v Speaker 3>those drift downs, it's when we generally get this fold dynamic.

0:28:43.450 --> 0:28:45.610
<v Speaker 3>And it's happening in the skew. So when I said

0:28:45.810 --> 0:28:50.650
<v Speaker 3>knockouts and coupon contingent, Again, digitals, fancy words for put

0:28:50.670 --> 0:28:51.870
<v Speaker 3>spreads and call spreads.

0:28:51.890 --> 0:28:52.890
<v Speaker 2>Why is it called digitals?

0:28:53.330 --> 0:28:56.490
<v Speaker 3>Because it's binary. It's binary, right. And so it's either

0:28:56.650 --> 0:28:59.110
<v Speaker 3>zero or one. And so if we think of these

0:28:59.150 --> 0:29:02.270
<v Speaker 3>things as put spreads and call spreads, we're now going

0:29:02.310 --> 0:29:06.270
<v Speaker 3>into another dynamic, which is skew. So we can look

0:29:06.350 --> 0:29:10.390
<v Speaker 3>at volatility and say, hey, at the money volatility is 30.

0:29:10.390 --> 0:29:13.610
<v Speaker 3>But what really matters in these type of products is

0:29:13.710 --> 0:29:16.550
<v Speaker 3>how steep or not steep the skew is because we

0:29:16.630 --> 0:29:20.280
<v Speaker 3>really have this clump of put spreads and call spreads

0:29:20.420 --> 0:29:23.640
<v Speaker 3>on rather than just this outright Vega. And I guess

0:29:23.660 --> 0:29:26.900
<v Speaker 3>the question you would ask, I think is, Hey, you

0:29:26.920 --> 0:29:29.290
<v Speaker 3>told me you just sell one put.

0:29:29.370 --> 0:29:29.660
<v Speaker 2>Yeah.

0:29:30.010 --> 0:29:32.050
<v Speaker 3>Why are you doing that when you've got like these?

0:29:32.230 --> 0:29:35.470
<v Speaker 4>I was just about to say exactly that, exactly that question.

0:29:35.730 --> 0:29:36.150
<v Speaker 2>Keep going.

0:29:36.410 --> 0:29:41.130
<v Speaker 3>Because to replicate those put spreads in the notion or

0:29:41.150 --> 0:29:46.560
<v Speaker 3>the dollar somewhere trading, it's just not conceivable. There's too

0:29:46.640 --> 0:29:48.820
<v Speaker 3>many of these things we have to do. There's, in

0:29:48.840 --> 0:29:51.100
<v Speaker 3>a lot of cases, especially single stock, which is changing,

0:29:51.380 --> 0:29:55.930
<v Speaker 3>there's not daily option markets. The bid-offer spread would just

0:29:55.970 --> 0:29:58.960
<v Speaker 3>be too high to try to even contemplate doing this.

0:29:59.440 --> 0:30:01.479
<v Speaker 4>Actually, this reminds me of something I wanted to ask you,

0:30:01.520 --> 0:30:05.260
<v Speaker 4>which is correlation is one of the trickiest things in

0:30:05.380 --> 0:30:07.980
<v Speaker 4>all of finance to model. And I'm very curious how

0:30:08.180 --> 0:30:14.110
<v Speaker 4>often the models disagree, I guess, internally on a potential outcome.

0:30:14.290 --> 0:30:17.950
<v Speaker 4>And if there is disagreement or if there is uncertainty...

0:30:18.390 --> 0:30:20.710
<v Speaker 4>Where does that actually get priced? Does it get priced

0:30:20.830 --> 0:30:24.070
<v Speaker 4>in the coupon that you're paying out to the investor?

0:30:24.290 --> 0:30:27.290
<v Speaker 4>Or do you, I don't know, add an additional reserve

0:30:27.490 --> 0:30:28.410
<v Speaker 4>or something like that?

0:30:28.710 --> 0:30:33.130
<v Speaker 3>Combination of all those things. So I guess the modeling component,

0:30:34.580 --> 0:30:40.360
<v Speaker 3>we think of finance as this risk-neutral world. And so

0:30:40.640 --> 0:30:43.580
<v Speaker 3>if you look at that empirically and the returns on equities,

0:30:43.840 --> 0:30:48.020
<v Speaker 3>it's not risk-neutral to start with. We also have liked

0:30:48.040 --> 0:30:51.540
<v Speaker 3>to look at markets in terms of, so basically markets

0:30:51.580 --> 0:30:55.220
<v Speaker 3>have gone higher than what a risk neutral rate would suggest. Right.

0:30:55.540 --> 0:30:58.680
<v Speaker 3>And so a lot of these products they're based on

0:30:59.020 --> 0:31:03.070
<v Speaker 3>the expected knockout date, because a big component of this

0:31:03.160 --> 0:31:05.470
<v Speaker 3>is the funding. You gave me, you gave the issuer

0:31:05.910 --> 0:31:09.530
<v Speaker 3>a hundred dollars. How long is that going to invest for? Right.

0:31:09.570 --> 0:31:12.150
<v Speaker 3>And so we base it on risk neutral. So that

0:31:12.210 --> 0:31:15.719
<v Speaker 3>in and of itself is a constraint, but also. what

0:31:15.760 --> 0:31:18.920
<v Speaker 3>can we observe? The selling the put, we can observe

0:31:19.300 --> 0:31:22.780
<v Speaker 3>implied volatility in the listed market. And so we can

0:31:22.800 --> 0:31:25.520
<v Speaker 3>build a volatility surface on that, a local vol surface.

0:31:26.520 --> 0:31:29.280
<v Speaker 3>But if you look at this actual trade and we

0:31:29.320 --> 0:31:32.230
<v Speaker 3>look at the, let's go back to that simple three

0:31:32.290 --> 0:31:37.010
<v Speaker 3>month quarterly knockout and the knockout again, is that put spread?

0:31:37.450 --> 0:31:40.130
<v Speaker 3>I've got a series of these put spreads that are

0:31:40.250 --> 0:31:43.550
<v Speaker 3>forward starting. All right. So I've got a, you know,

0:31:43.650 --> 0:31:45.990
<v Speaker 3>in three months time, Am I going to have to

0:31:46.030 --> 0:31:48.890
<v Speaker 3>do something in that next three month bucket? So you've

0:31:48.910 --> 0:31:51.670
<v Speaker 3>got forward starting risk. And when we look at local

0:31:51.710 --> 0:31:55.140
<v Speaker 3>vol and the construction of local vol, it really, really

0:31:55.260 --> 0:32:00.760
<v Speaker 3>underestimates the relationship between these dates going forward. So to

0:32:00.800 --> 0:32:04.979
<v Speaker 3>cut a long story short, there's modeling assumptions that we

0:32:05.080 --> 0:32:08.960
<v Speaker 3>use and we look at stochastic volatility to try to

0:32:09.060 --> 0:32:12.570
<v Speaker 3>take that into account. And that's just, again, some of

0:32:12.610 --> 0:32:15.110
<v Speaker 3>this stuff is opaque. because one of the components of

0:32:15.130 --> 0:32:18.370
<v Speaker 3>stochastic volatility is vol of vol, and you can't really

0:32:18.470 --> 0:32:22.370
<v Speaker 3>observe vol of vol outside of maybe VIX options. And

0:32:22.390 --> 0:32:23.930
<v Speaker 3>so on a single stock name, you can't do that,

0:32:24.210 --> 0:32:26.730
<v Speaker 3>especially when you get to these daily nuggets.

0:32:42.970 --> 0:32:47.650
<v Speaker 2>With the single stock structured notes, what are the popular

0:32:47.830 --> 0:32:50.010
<v Speaker 2>ones that we're talking about here?

0:32:50.030 --> 0:32:51.290
<v Speaker 3>NVIDIA?

0:32:51.550 --> 0:32:54.490
<v Speaker 2>Apple? Meta? What are people buying?

0:32:54.770 --> 0:32:58.370
<v Speaker 3>Semis. Okay. You've got the hyperscalers.

0:32:58.390 --> 0:33:01.810
<v Speaker 2>Are there ones for the neoclouds? Are there people buying?

0:33:01.850 --> 0:33:04.550
<v Speaker 4>There's a CoreWeave one in Asia.

0:33:04.610 --> 0:33:05.730
<v Speaker 1>There's probably some in the U.S.

0:33:05.750 --> 0:33:06.010
<v Speaker 3>Too.

0:33:06.130 --> 0:33:08.570
<v Speaker 4>But our colleague at Bloomberg, Shuli Ren, wrote a really

0:33:08.590 --> 0:33:11.070
<v Speaker 4>good column about it. 40% annualized yield.

0:33:11.590 --> 0:33:13.970
<v Speaker 2>That's pretty sick. So actually, I was going to thank

0:33:13.990 --> 0:33:16.630
<v Speaker 2>you for bringing that up. Just to be clear, when

0:33:16.670 --> 0:33:19.840
<v Speaker 2>you're talking about, you said $ 300 billion market this year?

0:33:20.120 --> 0:33:23.540
<v Speaker 3>And that's predominantly on, that's just U.S. registered.

0:33:25.140 --> 0:33:26.120
<v Speaker 2>So this is U.S. money?

0:33:26.740 --> 0:33:28.380
<v Speaker 3>Yes, this is U.S. registered money.

0:33:28.720 --> 0:33:31.950
<v Speaker 2>Okay. Because my understanding is for as much as like

0:33:32.890 --> 0:33:35.350
<v Speaker 2>people talk about it here, this is like really big in.

0:33:35.310 --> 0:33:35.990
<v Speaker 4>Asia, right?

0:33:36.190 --> 0:33:36.370
<v Speaker 3>Yeah.

0:33:37.420 --> 0:33:40.810
<v Speaker 4>One of my favorite headlines that I ever wrote was,

0:33:40.980 --> 0:33:43.050
<v Speaker 4>I think it was when there was drama in the

0:33:43.090 --> 0:33:45.650
<v Speaker 4>Chinese UN and a bunch of structured products in Asia

0:33:45.690 --> 0:33:46.390
<v Speaker 4>got knocked out.

0:33:46.530 --> 0:33:47.970
<v Speaker 1>And I called it the tarf barf.

0:33:48.330 --> 0:33:48.890
<v Speaker 2>Oh, that's good.

0:33:48.950 --> 0:33:50.290
<v Speaker 1>Thank you. Thank you.

0:33:50.470 --> 0:33:53.990
<v Speaker 2>But can you explain what it is about high net

0:33:54.030 --> 0:33:57.440
<v Speaker 2>worth in the US versus high net worth in Asia

0:33:57.520 --> 0:34:01.860
<v Speaker 2>such that there is a maybe more naturally economic reason

0:34:01.940 --> 0:34:03.980
<v Speaker 2>why these products are so popular in Asia?

0:34:04.000 --> 0:34:04.080
<v Speaker 4>Yeah.

0:34:04.730 --> 0:34:08.910
<v Speaker 3>I would say just because it's been around longer in Asia.

0:34:09.770 --> 0:34:10.950
<v Speaker 2>Is there a reason for that?

0:34:11.590 --> 0:34:15.650
<v Speaker 3>I would say it probably started with Japan when interest

0:34:15.670 --> 0:34:23.060
<v Speaker 3>rates went to zero. And the concept of Uridashi started where, hey,

0:34:23.460 --> 0:34:27.339
<v Speaker 3>how can I enhance this? And then you get a coupon. Hey,

0:34:27.380 --> 0:34:29.960
<v Speaker 3>how can I make that coupon higher? And you add

0:34:30.100 --> 0:34:35.060
<v Speaker 3>certain factors to it. And in markets, I guess... This market,

0:34:35.080 --> 0:34:38.640
<v Speaker 3>the US market is more used to participation because just.

0:34:38.520 --> 0:34:39.950
<v Speaker 2>Of how it's done. Yeah, I get it.

0:34:39.980 --> 0:34:44.330
<v Speaker 3>I get it. And other markets have had different sideways down, whatever.

0:34:44.830 --> 0:34:46.830
<v Speaker 3>And so having something that protects you a little bit

0:34:46.989 --> 0:34:50.870
<v Speaker 3>on the downside and gives you a yield when maybe

0:34:50.910 --> 0:34:54.510
<v Speaker 3>the equity performance hasn't been there starts to look more attractive.

0:34:55.650 --> 0:34:57.650
<v Speaker 2>Now, these days we're talking about, you're going to get

0:34:57.670 --> 0:35:00.400
<v Speaker 2>some pretty fat, pretty juicy yields in the United States

0:35:00.719 --> 0:35:04.680
<v Speaker 2>these days. We're in this sort of weird situation. In which,

0:35:05.160 --> 0:35:07.510
<v Speaker 2>and it's kind of a rare situation historically in which

0:35:07.530 --> 0:35:11.450
<v Speaker 2>stocks have done quite, quite well. And also rates have

0:35:11.469 --> 0:35:14.310
<v Speaker 2>been going up and also spreads have been going up,

0:35:14.370 --> 0:35:17.350
<v Speaker 2>particularly on many of the stocks that have been going well.

0:35:17.370 --> 0:35:22.620
<v Speaker 2>It's a very strange environment. Does that lessen at all

0:35:22.660 --> 0:35:25.339
<v Speaker 2>some of the appetite for structured notes when I don't

0:35:25.360 --> 0:35:28.520
<v Speaker 2>have to get particularly exotic if I just want a coupon? Yeah.

0:35:28.600 --> 0:35:31.219
<v Speaker 3>So in the U S if we actually look at

0:35:31.380 --> 0:35:35.330
<v Speaker 3>the size of the market historically, versus what the coupon

0:35:35.489 --> 0:35:39.370
<v Speaker 3>or that yield has been, it's not as big as

0:35:39.910 --> 0:35:45.530
<v Speaker 3>the total return. So what that's telling me is that people,

0:35:45.550 --> 0:35:48.729
<v Speaker 3>the US, in the register space at least, are taking

0:35:48.770 --> 0:35:52.790
<v Speaker 3>some of that return and using it as investment income,

0:35:53.350 --> 0:35:56.890
<v Speaker 3>as a dividend per se. And so the market structure

0:35:57.130 --> 0:36:00.910
<v Speaker 3>in the US is different because this is a participation

0:36:00.989 --> 0:36:05.280
<v Speaker 3>trade and this is something that diversifies and gives some

0:36:05.480 --> 0:36:06.900
<v Speaker 3>protection to the downside.

0:36:06.920 --> 0:36:07.319
<v Speaker 2>All right.

0:36:07.660 --> 0:36:10.130
<v Speaker 3>And I think it's being used like that in, in

0:36:10.170 --> 0:36:13.330
<v Speaker 3>the U S whereas in other markets, it's more about

0:36:13.810 --> 0:36:16.710
<v Speaker 3>how can I get the highest return and the duration,

0:36:16.770 --> 0:36:20.910
<v Speaker 3>like the maturities are less. And also the, the idea

0:36:20.969 --> 0:36:24.390
<v Speaker 3>of reinvestment is higher as well in terms of taking

0:36:24.450 --> 0:36:26.050
<v Speaker 3>this and doing it again. Hmm.

0:36:26.580 --> 0:36:30.140
<v Speaker 4>You know, you mentioned less capital available in the, I guess,

0:36:30.180 --> 0:36:34.739
<v Speaker 4>financial ecosystem for absorbing some of this flow. I don't

0:36:34.760 --> 0:36:37.569
<v Speaker 4>want you to name specific counterparties or anything like that,

0:36:37.610 --> 0:36:39.870
<v Speaker 4>but what is going on here exactly? Is this like

0:36:39.890 --> 0:36:44.530
<v Speaker 4>a restrictive balance sheet thing or are people nervous about

0:36:44.650 --> 0:36:47.350
<v Speaker 4>actually like expressing particular views?

0:36:47.430 --> 0:36:48.040
<v Speaker 1>What's going on?

0:36:48.280 --> 0:36:50.799
<v Speaker 3>I don't think it was views. I suspect that to

0:36:50.840 --> 0:36:54.310
<v Speaker 3>protect portfolios, call options were being bought in the market.

0:36:54.910 --> 0:36:58.750
<v Speaker 3>And as those portfolios changed and maybe shrank, the need

0:36:58.870 --> 0:37:06.319
<v Speaker 3>for that went away. And so a large buyer that

0:37:06.360 --> 0:37:10.000
<v Speaker 3>elevated option premium disappeared at the same time. Well, I

0:37:10.219 --> 0:37:12.839
<v Speaker 3>guess it's all related as markets were coming off as well.

0:37:13.180 --> 0:37:16.359
<v Speaker 3>And that definitely changed some of the dynamics in the market.

0:37:16.650 --> 0:37:19.630
<v Speaker 4>So what does that actually mean for issuance of structured products?

0:37:19.670 --> 0:37:22.560
<v Speaker 4>If you can't offload the vega to someone else, if

0:37:22.600 --> 0:37:25.640
<v Speaker 4>you can't properly hedge, are you naturally limited in what

0:37:25.660 --> 0:37:26.100
<v Speaker 4>you can do?

0:37:27.239 --> 0:37:29.180
<v Speaker 3>Yes and no. I think there is still a market.

0:37:29.300 --> 0:37:33.860
<v Speaker 3>There is way more liquidity in the US capital markets

0:37:33.910 --> 0:37:37.330
<v Speaker 3>than anywhere else. And looking at this from the lens

0:37:37.370 --> 0:37:40.890
<v Speaker 3>of trading in Hong Kong and Australia, there are real two, three,

0:37:41.210 --> 0:37:45.450
<v Speaker 3>five year equity markets that are hedgeable. I would say

0:37:45.770 --> 0:37:51.260
<v Speaker 3>ultimately what drives issuance is the direction of the market.

0:37:52.050 --> 0:37:54.089
<v Speaker 3>I would say if we do go sideways and there's

0:37:54.140 --> 0:37:58.219
<v Speaker 3>less order callables or we go down, you're just not

0:37:58.280 --> 0:38:02.060
<v Speaker 3>going to get the demand for more or historically demand

0:38:02.280 --> 0:38:06.100
<v Speaker 3>tails off. And that does also create a very interesting

0:38:06.180 --> 0:38:11.560
<v Speaker 3>dynamic in the market. So the example of, I think

0:38:11.580 --> 0:38:12.980
<v Speaker 3>we moved it from a one year trade to a

0:38:12.980 --> 0:38:15.989
<v Speaker 3>five year trade. So the dynamic that we're seeing in

0:38:16.030 --> 0:38:19.750
<v Speaker 3>the market is we've got typically with the US registered,

0:38:19.930 --> 0:38:23.219
<v Speaker 3>we've got three to five year maturities with expected life

0:38:23.260 --> 0:38:26.060
<v Speaker 3>of two years, you're selling two years. If the market

0:38:27.020 --> 0:38:30.779
<v Speaker 3>goes down or the worst of goes down, the chance

0:38:30.800 --> 0:38:34.319
<v Speaker 3>that this goes to five years becomes a real thing, right?

0:38:34.460 --> 0:38:37.680
<v Speaker 3>And so all the vegas there. So that dynamic will

0:38:37.719 --> 0:38:41.020
<v Speaker 3>mean there's no new issuance, but I'm now short this

0:38:41.100 --> 0:38:46.150
<v Speaker 3>two year trade and I never had Vega there. I

0:38:46.290 --> 0:38:49.230
<v Speaker 3>used that position as a proxy for the 5U. And

0:38:49.270 --> 0:38:53.089
<v Speaker 3>so that term structure also changes where you can get

0:38:53.469 --> 0:38:56.470
<v Speaker 3>the stuff that's depressed in the market having a higher

0:38:56.550 --> 0:39:00.700
<v Speaker 3>value because you've just got your short hedge on and

0:39:00.739 --> 0:39:04.500
<v Speaker 3>now you've got exposure to the 5U. And again, conversely,

0:39:04.540 --> 0:39:07.379
<v Speaker 3>we get markets go back to all-time highs. I'm just

0:39:07.440 --> 0:39:09.920
<v Speaker 3>left short the 2U and that's another reason it can

0:39:09.960 --> 0:39:12.469
<v Speaker 3>go up. And when we look at this stuff and

0:39:12.510 --> 0:39:15.460
<v Speaker 3>we model it, we call it, you know, peak Vega.

0:39:15.860 --> 0:39:18.839
<v Speaker 2>So what happens if like, all right, people, you know, again,

0:39:18.880 --> 0:39:21.400
<v Speaker 2>we're in this bow of like, oh, it's the AI, boom,

0:39:21.460 --> 0:39:23.890
<v Speaker 2>is it coming to an end or something like that?

0:39:24.650 --> 0:39:27.850
<v Speaker 2>What happens if we really get some real, I mean,

0:39:28.290 --> 0:39:32.569
<v Speaker 2>these moves aren't that big yet. Semiconductor ETF, I guess

0:39:32.650 --> 0:39:34.810
<v Speaker 2>it's down, I don't know, maybe 10% from its peak

0:39:34.870 --> 0:39:37.680
<v Speaker 2>or something like that. It's not that big. What happens

0:39:37.800 --> 0:39:39.859
<v Speaker 2>if we're like, wow, you know what? We're really going

0:39:39.880 --> 0:39:43.900
<v Speaker 2>to reprice the AI trade in a meaningful way for

0:39:43.980 --> 0:39:47.830
<v Speaker 2>some theory, the ROI is up there, whatever. What happens

0:39:47.870 --> 0:39:49.610
<v Speaker 2>to these products if we're like, all right, we got

0:39:49.650 --> 0:39:50.210
<v Speaker 2>some moves here?

0:39:50.590 --> 0:39:53.570
<v Speaker 3>So if we get really large moves in terms of, again,

0:39:54.110 --> 0:39:57.410
<v Speaker 3>the client has, in effect, there is a directional component

0:39:57.469 --> 0:40:00.200
<v Speaker 3>to this trade, right? They are short of put. So

0:40:00.340 --> 0:40:05.480
<v Speaker 3>in extreme situations, in these cases, there's $ 100 potentially at risk.

0:40:06.120 --> 0:40:09.700
<v Speaker 3>And there's a point where, depending on the type of

0:40:09.860 --> 0:40:13.940
<v Speaker 3>put or how it was structured, that the dealer can

0:40:13.980 --> 0:40:18.080
<v Speaker 3>be on Instead of being long gamma because of this put,

0:40:18.120 --> 0:40:20.600
<v Speaker 3>it's really a put spread. I'm on the other side

0:40:20.980 --> 0:40:23.430
<v Speaker 3>of the spread because it's gone too far. Now that's

0:40:23.469 --> 0:40:27.049
<v Speaker 3>another Greek word just introduced. I'm now short gamma, which

0:40:27.130 --> 0:40:30.690
<v Speaker 3>means that I'm more susceptible to market moves and I

0:40:30.830 --> 0:40:34.200
<v Speaker 3>exacerbate the market moves. I have to buy when market

0:40:34.219 --> 0:40:36.720
<v Speaker 3>goes up and sell when market goes down. That's gamma.

0:40:37.000 --> 0:40:37.439
<v Speaker 3>Big short.

0:40:37.680 --> 0:40:39.879
<v Speaker 2>Do you see like, all right, let's say a bunch

0:40:39.920 --> 0:40:43.540
<v Speaker 2>of people bought these notes that don't take any hit

0:40:43.640 --> 0:40:47.319
<v Speaker 2>until they're 40% down or something like that. Are there

0:40:47.420 --> 0:40:50.630
<v Speaker 2>things that you see in the market when like a

0:40:50.660 --> 0:40:54.330
<v Speaker 2>bunch of these things are 38% down and they're getting

0:40:54.410 --> 0:40:58.069
<v Speaker 2>close to that barrier or whatever? Are there fingerprints on

0:40:58.090 --> 0:40:59.870
<v Speaker 2>the market? It's like, wow, it looks like a bunch

0:40:59.910 --> 0:41:03.010
<v Speaker 2>of structured notes. We're getting close to some of these levels.

0:41:03.270 --> 0:41:05.510
<v Speaker 2>What would I expect to start to see happening?

0:41:06.150 --> 0:41:08.530
<v Speaker 3>In all fairness, we haven't really seen a down market

0:41:08.550 --> 0:41:10.960
<v Speaker 3>where those books have been there. We see it on

0:41:10.980 --> 0:41:15.420
<v Speaker 3>the knockouts more. Because that's probably, it happens once every

0:41:15.460 --> 0:41:18.060
<v Speaker 3>three months rather than once every five years. But the

0:41:18.100 --> 0:41:21.440
<v Speaker 3>concept is the same. So it's a digital, it's a

0:41:21.480 --> 0:41:22.049
<v Speaker 3>call spread.

0:41:22.180 --> 0:41:22.319
<v Speaker 1>Yeah.

0:41:22.650 --> 0:41:25.810
<v Speaker 3>And either this product is going to survive and go

0:41:25.950 --> 0:41:28.489
<v Speaker 3>on for at least another three months or it's not.

0:41:28.870 --> 0:41:31.830
<v Speaker 3>So the fact that it's a put spread or a

0:41:31.870 --> 0:41:35.299
<v Speaker 3>call spread, it depends what side I'm on, whether or

0:41:35.340 --> 0:41:37.980
<v Speaker 3>not I'm long or short gamma. So the same thing

0:41:38.239 --> 0:41:41.260
<v Speaker 3>on the put, if it's a knock-in put especially. Depending

0:41:41.320 --> 0:41:43.980
<v Speaker 3>on which side I'm on or approaching it, you get

0:41:44.380 --> 0:41:48.439
<v Speaker 3>a gamma profile that can be short. That you being

0:41:48.500 --> 0:41:51.980
<v Speaker 3>the dealer. Yeah. And so- What that means is you

0:41:52.000 --> 0:41:57.000
<v Speaker 3>can get exacerbated moves around those levels as a result

0:41:57.380 --> 0:42:00.120
<v Speaker 3>of being close to those levels and having this binary

0:42:00.200 --> 0:42:03.219
<v Speaker 3>outcome near those levels. So we see it often on

0:42:03.239 --> 0:42:05.819
<v Speaker 3>the knockouts just because there's more of them and we

0:42:05.860 --> 0:42:09.020
<v Speaker 3>face them more. But yes, in a period of these

0:42:09.060 --> 0:42:11.279
<v Speaker 3>things are down wherever the strike is, I think we

0:42:11.300 --> 0:42:15.009
<v Speaker 3>said 40%. As we approach it, you'll start to deal

0:42:15.050 --> 0:42:16.489
<v Speaker 3>a short gamma. And then when we're on the other

0:42:16.530 --> 0:42:19.150
<v Speaker 3>side of it, you'll get the same sort of aspect.

0:42:20.160 --> 0:42:24.859
<v Speaker 4>Which is more painful, the slow decline or the big

0:42:24.960 --> 0:42:25.620
<v Speaker 4>overnight fall?

0:42:26.380 --> 0:42:31.220
<v Speaker 3>That depends. I would say the virtuous cycle is that

0:42:31.780 --> 0:42:35.470
<v Speaker 3>the product markets go up and we get new trades

0:42:35.750 --> 0:42:40.189
<v Speaker 3>and everybody's happy because there's a coupon. Both of your scenarios,

0:42:41.310 --> 0:42:45.890
<v Speaker 3>there's many ways to die and that slow grind down.

0:42:46.370 --> 0:42:48.250
<v Speaker 3>And again, it depends on your hedging and what you've done.

0:42:48.630 --> 0:42:53.510
<v Speaker 3>can be painful because we've got this dynamic of hedging

0:42:53.550 --> 0:42:58.590
<v Speaker 3>with two, left with five, wrong hedge, volatility is going lower,

0:42:59.010 --> 0:43:03.299
<v Speaker 3>the skew is flattening. That can be painful. And what

0:43:03.320 --> 0:43:06.160
<v Speaker 3>can also be painful is, hey, I've hedged and I

0:43:06.200 --> 0:43:08.080
<v Speaker 3>described a put spread or call spread and I've just

0:43:08.100 --> 0:43:13.480
<v Speaker 3>done an outright position. So locally I'm hedged, but on

0:43:13.520 --> 0:43:17.870
<v Speaker 3>a large move, I'm not because my call spread or

0:43:17.890 --> 0:43:20.430
<v Speaker 3>put spread only gives me X amount of value, whereas

0:43:20.469 --> 0:43:24.680
<v Speaker 3>the thing I've sold has value beyond that. So there's

0:43:24.719 --> 0:43:29.300
<v Speaker 3>a scenario where that's horrible too. And it really depends on, again,

0:43:29.820 --> 0:43:31.620
<v Speaker 3>how these things have been hedged.

0:43:32.590 --> 0:43:33.650
<v Speaker 1>I have one more question.

0:43:33.810 --> 0:43:36.969
<v Speaker 4>Some of these products are very creative in both their

0:43:37.010 --> 0:43:40.930
<v Speaker 4>design and their hedging. Do you have a favorite that

0:43:40.950 --> 0:43:42.870
<v Speaker 4>you like to point to and go, hey, this was

0:43:43.010 --> 0:43:43.759
<v Speaker 4>extra creative?

0:43:44.180 --> 0:43:47.379
<v Speaker 3>Yeah, I'd say a popular product now, so we talked

0:43:47.420 --> 0:43:51.259
<v Speaker 3>about the worst of, we talked about daily observations, and

0:43:51.320 --> 0:43:53.790
<v Speaker 3>we talked about what an auto callable is that we

0:43:53.870 --> 0:43:57.130
<v Speaker 3>observe it, and the worst performer has to be above

0:43:57.170 --> 0:44:00.190
<v Speaker 3>that level to knock out. So one of the more

0:44:00.250 --> 0:44:03.770
<v Speaker 3>creative auto calls we've seen is one with a knockout

0:44:04.170 --> 0:44:08.160
<v Speaker 3>auto call feature. So say you've got three stocks, and

0:44:09.540 --> 0:44:12.620
<v Speaker 3>you've got observation dates that are daily. You can have

0:44:12.700 --> 0:44:16.719
<v Speaker 3>one of these stocks... that rallies 20% on day one,

0:44:17.260 --> 0:44:20.420
<v Speaker 3>say the other two are down 10%, it's now considered

0:44:20.500 --> 0:44:23.710
<v Speaker 3>knocked out regardless of what happens next. So then you've

0:44:23.750 --> 0:44:28.450
<v Speaker 3>got two names left and the first stock is down 30%,

0:44:28.450 --> 0:44:32.170
<v Speaker 3>kind of irrelevant, but the other two, or just let's

0:44:32.210 --> 0:44:35.719
<v Speaker 3>say another one goes up, it's gone. You're now got

0:44:35.739 --> 0:44:38.080
<v Speaker 3>a position where the original stock, which was up 20%,

0:44:38.080 --> 0:44:44.060
<v Speaker 3>is now down 40% and the stock A, If it

0:44:44.100 --> 0:44:47.440
<v Speaker 3>just rallies a little bit, the whole product disappears. And

0:44:47.840 --> 0:44:50.460
<v Speaker 3>this thing is way down, like the stock that was

0:44:50.500 --> 0:44:52.950
<v Speaker 3>up 20 is now down, you know, 50%. It's going

0:44:53.450 --> 0:44:55.550
<v Speaker 3>to be like, it's going to have real put value,

0:44:56.190 --> 0:44:59.750
<v Speaker 3>but that put value is all destroyed if this last

0:44:59.790 --> 0:45:04.270
<v Speaker 3>guy gets knocked out. So I now have this, this

0:45:04.450 --> 0:45:08.240
<v Speaker 3>way in the money put, which can disappear very, very quickly.

0:45:08.700 --> 0:45:12.780
<v Speaker 3>And so I've got this massive vol of vol position

0:45:12.840 --> 0:45:16.390
<v Speaker 3>where If everything just rallies now, it's done. I need

0:45:16.410 --> 0:45:20.260
<v Speaker 3>everything to fall. And it creates a really interesting dynamic.

0:45:20.300 --> 0:45:22.520
<v Speaker 3>And I think it's what we're seeing in the very

0:45:22.620 --> 0:45:23.540
<v Speaker 3>front in single stockings.

0:45:24.060 --> 0:45:28.060
<v Speaker 2>As the clients get richer and richer, the last question

0:45:28.080 --> 0:45:30.880
<v Speaker 2>for me, as clients get richer and richer, does the

0:45:30.940 --> 0:45:36.160
<v Speaker 2>creativity with which they can purchase an instrument multiply as in,

0:45:36.500 --> 0:45:39.340
<v Speaker 2>all right, you know what? Here's this guy's worth $ 100 million.

0:45:39.820 --> 0:45:41.899
<v Speaker 2>Here's a few items you can pick from the shelf.

0:45:42.690 --> 0:45:44.930
<v Speaker 2>Here's a billion dollars. You know what? We're going to

0:45:44.969 --> 0:45:47.049
<v Speaker 2>bring out the best chef for him. And we're going

0:45:47.070 --> 0:45:49.460
<v Speaker 2>to chop the mushrooms and everything. And we're going to

0:45:49.480 --> 0:45:52.719
<v Speaker 2>come up with something really creative for him. Just in

0:45:52.760 --> 0:45:57.400
<v Speaker 2>the nature of the business, there's other sort of more

0:45:57.460 --> 0:46:00.100
<v Speaker 2>and more exotic versions that you can get depending on

0:46:00.140 --> 0:46:01.299
<v Speaker 2>how much money you bring to the table.

0:46:01.660 --> 0:46:03.500
<v Speaker 3>You can get more and more exotic. I would say

0:46:03.580 --> 0:46:07.660
<v Speaker 3>that liquidity is a factor. And generally, what provokes or

0:46:07.780 --> 0:46:10.790
<v Speaker 3>what creates these sort of structures is what created pain.

0:46:11.219 --> 0:46:15.040
<v Speaker 3>So we had examples in 2018 of dealers getting into

0:46:15.200 --> 0:46:18.190
<v Speaker 3>trouble and what created pain was that drift down. So

0:46:18.210 --> 0:46:21.910
<v Speaker 3>a whole new product was created, not knock in, knock out,

0:46:21.950 --> 0:46:24.410
<v Speaker 3>where if we drift down, but we haven't drifted too

0:46:24.430 --> 0:46:26.790
<v Speaker 3>far and we stay in a certain area, we knock

0:46:26.830 --> 0:46:30.000
<v Speaker 3>out as well. So I would say it's, and that

0:46:30.620 --> 0:46:32.640
<v Speaker 3>the level of all of all that creates and, oh,

0:46:32.680 --> 0:46:35.919
<v Speaker 3>this is a simple way to solve it. creates secondary issues.

0:46:36.120 --> 0:46:39.620
<v Speaker 3>But to your point, I would say as it gets

0:46:39.660 --> 0:46:43.240
<v Speaker 3>more sophisticated or you get large institutional clients, the amount

0:46:43.260 --> 0:46:46.190
<v Speaker 3>of structuring that can happen, it's possible, but it's more

0:46:46.230 --> 0:46:47.989
<v Speaker 3>about size and handling liquidity. Got it.

0:46:49.150 --> 0:46:49.390
<v Speaker 1>All right.

0:46:49.930 --> 0:46:52.450
<v Speaker 4>Alex, truly the perfect guest to talk about structured products.

0:46:52.489 --> 0:46:54.090
<v Speaker 4>Really appreciate you coming on OnLogs.

0:46:54.270 --> 0:46:55.049
<v Speaker 3>Thank you for having me, guys.

0:47:02.760 --> 0:47:10.450
<v Speaker 4>Thank you. Joe, I thought that was fascinating. There are

0:47:10.510 --> 0:47:13.190
<v Speaker 4>indeed a lot of Greek letters involved, but I got

0:47:13.210 --> 0:47:15.589
<v Speaker 4>to say, I feel kind of bad for, for the

0:47:15.630 --> 0:47:18.509
<v Speaker 4>market makers who are basically like the buyers of last

0:47:18.570 --> 0:47:21.819
<v Speaker 4>resort or a lot of that Vega. And like, as

0:47:21.940 --> 0:47:24.940
<v Speaker 4>the market does what it's been doing recently, they basically

0:47:24.980 --> 0:47:26.620
<v Speaker 4>just have more and more that they have to absorb

0:47:26.640 --> 0:47:28.419
<v Speaker 4>and then they have to hedge more and more and more.

0:47:28.440 --> 0:47:29.480
<v Speaker 1>It seems hard.

0:47:30.620 --> 0:47:32.010
<v Speaker 2>I guess I don't feel sorry for them.

0:47:32.070 --> 0:47:33.609
<v Speaker 1>I mean, I guess they're paid to do it, but

0:47:33.790 --> 0:47:34.870
<v Speaker 1>still it's hard.

0:47:35.350 --> 0:47:37.650
<v Speaker 2>But that's what the money is for. You know, it's like,

0:47:37.670 --> 0:47:39.950
<v Speaker 2>that's why they get paid well, because it's actually, it's

0:47:40.010 --> 0:47:42.980
<v Speaker 2>very complicated to figure out where all these different like

0:47:43.040 --> 0:47:47.160
<v Speaker 2>balancing prices are and how exactly, what exactly is the

0:47:47.200 --> 0:47:49.180
<v Speaker 2>value of some of these things. But I don't feel

0:47:49.219 --> 0:47:51.660
<v Speaker 2>bad for them at all because it seems like a

0:47:51.880 --> 0:47:54.299
<v Speaker 2>job where not many people would have that skill. And

0:47:54.340 --> 0:47:55.980
<v Speaker 2>if you do have that skill, you're probably getting paid

0:47:56.020 --> 0:47:59.799
<v Speaker 2>very well. I really enjoyed that conversation overall. Helped me

0:47:59.840 --> 0:48:02.910
<v Speaker 2>sort of understand what these products are there, what problems

0:48:02.950 --> 0:48:05.680
<v Speaker 2>they solve for the clients. why the client is getting

0:48:05.840 --> 0:48:08.910
<v Speaker 2>compensated for them, why the banks like to sell them.

0:48:09.610 --> 0:48:11.029
<v Speaker 2>It clarified a number of things.

0:48:11.190 --> 0:48:13.990
<v Speaker 4>Yeah, and I do also think it definitely underscored that

0:48:14.030 --> 0:48:17.230
<v Speaker 4>sometimes the most painful environment isn't the big sharp move

0:48:17.270 --> 0:48:18.810
<v Speaker 4>down or the sharp move up.

0:48:19.050 --> 0:48:21.290
<v Speaker 1>It's that slow grind.

0:48:21.410 --> 0:48:24.569
<v Speaker 4>Which kind of is what we've been seeing recently.

0:48:25.090 --> 0:48:28.759
<v Speaker 2>It's interesting. U.S. stocks have just done so well for

0:48:28.820 --> 0:48:31.160
<v Speaker 2>so long. I mean, that is the big story. And

0:48:31.180 --> 0:48:33.440
<v Speaker 2>I think about this all the time in many cases.

0:48:33.930 --> 0:48:37.100
<v Speaker 2>flavors of this conversation where we talk about hedge funds

0:48:37.180 --> 0:48:39.500
<v Speaker 2>and options and trading and stuff like that. It's like, man,

0:48:40.000 --> 0:48:44.000
<v Speaker 2>you got paid in retrospect, sitting here in 2026 for

0:48:44.020 --> 0:48:47.160
<v Speaker 2>basically the last 45 years, you got paid a lot

0:48:47.219 --> 0:48:50.080
<v Speaker 2>of money to just invest in the market and do nothing, right?

0:48:50.320 --> 0:48:53.840
<v Speaker 2>To buy the index or whatever. And with very rare exceptions,

0:48:54.180 --> 0:48:55.580
<v Speaker 2>that's all you had to do to make a ton

0:48:55.620 --> 0:48:57.779
<v Speaker 2>of money is buy the index and go swimming. But

0:48:57.820 --> 0:49:01.420
<v Speaker 2>it's interesting to think about how, for example, in other countries,

0:49:02.100 --> 0:49:04.219
<v Speaker 2>Problems are a little trickier. It's like, how does someone

0:49:04.239 --> 0:49:06.719
<v Speaker 2>in Japan get yield during all those Zerp years and stuff?

0:49:06.739 --> 0:49:08.680
<v Speaker 2>So you have to get a little bit exotic and

0:49:08.719 --> 0:49:12.020
<v Speaker 2>stuff like that. Now I can understand why, you know,

0:49:12.080 --> 0:49:14.590
<v Speaker 2>people sitting on some huge gains, they don't want to

0:49:14.610 --> 0:49:16.610
<v Speaker 2>miss out on future gains, but maybe they want to

0:49:16.630 --> 0:49:19.290
<v Speaker 2>like take off some risk. Now there's yield again in

0:49:19.310 --> 0:49:22.060
<v Speaker 2>the United States. over the last few years. That could

0:49:22.100 --> 0:49:25.290
<v Speaker 2>be interesting and stuff like that. So I understand a

0:49:25.330 --> 0:49:28.529
<v Speaker 2>little bit more about like inherently why these products have

0:49:28.550 --> 0:49:32.410
<v Speaker 2>gotten more lucrative or Desirable for high net worth American

0:49:32.450 --> 0:49:33.890
<v Speaker 2>investors in recent years. Sure.

0:49:33.969 --> 0:49:36.120
<v Speaker 4>But I guess the issue is when the market becomes

0:49:36.160 --> 0:49:39.120
<v Speaker 4>so big that it actually ends up impacting everything and

0:49:39.140 --> 0:49:42.160
<v Speaker 4>you get these sort of weird like negative gamma instances

0:49:42.239 --> 0:49:45.500
<v Speaker 4>where people have to sell into a down market and

0:49:45.540 --> 0:49:46.200
<v Speaker 4>things like that.

0:49:46.260 --> 0:49:48.760
<v Speaker 1>And it just sort of. starts wagging the tail.

0:49:49.100 --> 0:49:52.480
<v Speaker 2>Totally. And look, the market has gotten a little more turbulent. Like, again,

0:49:52.800 --> 0:49:54.620
<v Speaker 2>I'd like to point out that it's not like we've

0:49:54.640 --> 0:49:56.029
<v Speaker 2>had some huge crash or something.

0:49:56.070 --> 0:49:56.590
<v Speaker 1>No, we haven't.

0:49:56.770 --> 0:49:59.450
<v Speaker 2>But it is, it has not been straight up. People

0:49:59.469 --> 0:50:01.690
<v Speaker 2>are starting to look for the weak players and the

0:50:01.730 --> 0:50:04.910
<v Speaker 2>links and so forth. People getting a little bit of anxious.

0:50:04.989 --> 0:50:07.279
<v Speaker 2>And so it's sort of important to get a better

0:50:07.450 --> 0:50:11.580
<v Speaker 2>grasp on like, what are some of the ramifications if

0:50:11.600 --> 0:50:15.200
<v Speaker 2>we were to see longer sideways market or God forbid,

0:50:15.520 --> 0:50:16.799
<v Speaker 2>something resembling a bear market.

0:50:17.070 --> 0:50:18.110
<v Speaker 1>Learn your Greeks.

0:50:18.260 --> 0:50:18.840
<v Speaker 2>Learn your Greeks.

0:50:18.880 --> 0:50:19.589
<v Speaker 1>Shall we leave it there?

0:50:19.660 --> 0:50:20.200
<v Speaker 2>Let's leave it there.

0:50:20.320 --> 0:50:20.540
<v Speaker 3>All right.

0:50:20.600 --> 0:50:23.120
<v Speaker 4>This has been another episode of the All Thoughts Podcast.

0:50:23.200 --> 0:50:25.780
<v Speaker 4>I'm Tracy Allaway. You can follow me at Tracy Allaway.

0:50:25.980 --> 0:50:28.980
<v Speaker 2>And I'm Joe Weisenthal. You can follow me at The Stalwart.

0:50:29.440 --> 0:50:32.860
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0:50:32.980 --> 0:50:36.239
<v Speaker 2>at Dashbot, Kale Brooks at Kale Brooks, and Kevin Lozano

0:50:36.380 --> 0:50:38.910
<v Speaker 2>at Kevin Lloyd Lozano. And you can chat about all

0:50:38.930 --> 0:50:43.690
<v Speaker 2>of these topics 24-7 in our Discord, discord.gg slash oddlots.

0:50:44.130 --> 0:50:46.850
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0:50:46.870 --> 0:50:49.790
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0:50:50.280 --> 0:50:52.430
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0:51:13.710 --> 0:51:14.450
<v Speaker 1>Thanks for joining.

0:51:15.469 --> 0:51:17.250
<v Speaker 3>Thank you.