WEBVTT - How Amateurs Lost Billions on Options

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<v Speaker 1>Hello, and welcome to What Goes Up, a weekly markets podcast.

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<v Speaker 1>My name is Mike Reagan. I'm a senior editor at

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<v Speaker 1>Bloomberg and humbled Onna Higher Across Acid reporter with Bloomberg.

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<v Speaker 1>And this week on the show, Well, do you remember

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<v Speaker 1>during the COVID lockdowns, when the meme stocks like game

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<v Speaker 1>Stop and a m C started going crazy and social

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<v Speaker 1>media was filled with posts about amateur tradings who are

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<v Speaker 1>making a killing trading their options. Well, like many things

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<v Speaker 1>on social media, that wasn't exactly the whole story. It

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<v Speaker 1>turns out that collectively, day traders took a massive beating

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<v Speaker 1>on options trades between November two thousand and nineteen and

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<v Speaker 1>June of that's according to some researchers from the London

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<v Speaker 1>Business School who did an in depth study of that

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<v Speaker 1>wild era of trading, and we're lucky enough to have

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<v Speaker 1>them on the show this week to discuss it. But

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<v Speaker 1>what do you tell us about our guests here? Who

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<v Speaker 1>do we have? Yeah, let me introduce them. We have

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<v Speaker 1>so Atlanta, Briska Loova, Anna Pavlova and Ticea Sikorskaya. They're

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<v Speaker 1>all researchers from the London Business School and they're they're

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<v Speaker 1>the authors of the report you mentioned, and I want

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<v Speaker 1>to welcome all of you to the show. Thanks so

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<v Speaker 1>much for joining us, thank you, thank you for having us.

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<v Speaker 1>And I want to start with you. I wanted to

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<v Speaker 1>ask you what you saw happening with retail investor trading,

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<v Speaker 1>what you saw happening in the space, all the mania

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<v Speaker 1>and hype that we had been seeing back in at

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<v Speaker 1>the start of one and what made you guys come

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<v Speaker 1>together and start looking into this topic. We have a

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<v Speaker 1>sample starting from November twenty nineteen going until mid the

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<v Speaker 1>and what we so seeing that sample is a huge

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<v Speaker 1>growth in the trading volume in options. In fact, our

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<v Speaker 1>data is in daily files and you can even measure

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<v Speaker 1>this in megabytes, gigabytes, terabytes. How these files, the size

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<v Speaker 1>of these files grow. Towards the end of the sample,

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<v Speaker 1>we had a huge increase in retail interest during the pandemic.

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<v Speaker 1>Then of course June July twenty we had a major

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<v Speaker 1>peak in our data set, and yeah, it just went

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<v Speaker 1>on from there. It's um, it's growing this volume and

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<v Speaker 1>it's there's no stopping for now. And Sedlanta, can you

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<v Speaker 1>maybe talk about what exactly you guys found, because the

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<v Speaker 1>big takeaway from me. Obviously you looked a lot into wholesalers.

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<v Speaker 1>But the big takeaway and something I ended up writing

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<v Speaker 1>about is the losses accrued by retail investors trading options.

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<v Speaker 1>Can you tell us more about that? Well, we were

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<v Speaker 1>interested in reading, understand and what three investors do in

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<v Speaker 1>the options market, because, to be honest, one of the

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<v Speaker 1>big problems there is that we actually don't really have

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<v Speaker 1>a good measure or good data will allow us to distinguish,

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<v Speaker 1>you know, which of those trade day trades are going

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<v Speaker 1>to be retail and which are going to be coming

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<v Speaker 1>from institutional investors. The only proxy is that people have

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<v Speaker 1>been looking at before were for example, small trades when

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<v Speaker 1>I will receive like somebody buying you know, one lord

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<v Speaker 1>or like five lads, just you know, a little bit

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<v Speaker 1>of the underlying contracts. But we also know that this

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<v Speaker 1>is not a good measure of retail trading because there

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<v Speaker 1>is a lot of institutional investors who actually split the

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<v Speaker 1>big orders in those tiny little bits, and so we

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<v Speaker 1>really wanted to see what the little guils are doing

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<v Speaker 1>because obviously we're concerned about them, and a lot of

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<v Speaker 1>my own students, you know, the trade and financial markets,

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<v Speaker 1>so everyone was watching game stuff and I was teaching

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<v Speaker 1>an asset management class for them, so you know, every

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<v Speaker 1>session we would go back to the news and just

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<v Speaker 1>talk what has been happening in the last three days,

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<v Speaker 1>and every time they would be something new. UM, So

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<v Speaker 1>naturally kind of looking at their strategies, what they do,

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<v Speaker 1>what kind of contracts they like, and if there is

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<v Speaker 1>a better way to identify those trades. Just exactly what

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<v Speaker 1>you know is the core of the paper, and it

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<v Speaker 1>was just a natural thing, you know, following all the

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<v Speaker 1>discussions with the students. But their performance, as you mentioned,

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<v Speaker 1>was exactly what really UM not surprised us. UM. We

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<v Speaker 1>do know that retail investors tend to trade a lot

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<v Speaker 1>more and quite often they as a result, encour much

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<v Speaker 1>larger losses, but we did not expect to see anything

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<v Speaker 1>like this in the options market. So that focus on

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<v Speaker 1>super short term contracts a lot really like pictures of

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<v Speaker 1>all the payoffs and of course those massive aggregate losses

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<v Speaker 1>during such a short period of time. That was mind

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<v Speaker 1>bolting for us. And the lasses are something around one

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<v Speaker 1>billion dollars plus if you account for trading carts, it's

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<v Speaker 1>even higher than that, right, absolutely, absolutely so, not only

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<v Speaker 1>they basically make mistake on you know, which type of contracts,

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<v Speaker 1>which direction you know the price is going to go,

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<v Speaker 1>but they also underestimate clearly is a total cost got

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<v Speaker 1>to pay for making this type of test. Yeah, and

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<v Speaker 1>we asked the question whether their investors perhaps learned from

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<v Speaker 1>their mistakes. So we cut our data month by month

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<v Speaker 1>and looked at their performance each month, and we were

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<v Speaker 1>hoping to see that it was bad in the beginning,

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<v Speaker 1>but it became much better towards the end of the sample. Well,

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<v Speaker 1>we found the reverse. It was actually okay in the

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<v Speaker 1>beginning of the sample, but then it got really bad. Well,

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<v Speaker 1>I see. Can I ask you to come in and

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<v Speaker 1>talk about what actually was happening with the broader market

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<v Speaker 1>at the time, Like how striking was it to come

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<v Speaker 1>to this conclusion considering that we actually had the stock

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<v Speaker 1>market overall, the SMP having a really really great year

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<v Speaker 1>in Yeah. Sure, if you look at the return overall

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<v Speaker 1>of let sels and if a hundred, you do see, uh,

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<v Speaker 1>overall good return for the thousand twenties. But then what

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<v Speaker 1>you should also remember is that there was a huge

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<v Speaker 1>amount of volatility at that time, and this is exactly

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<v Speaker 1>what attracts option traders, you need to have a lot

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<v Speaker 1>of volatility to be able to, you know, hit those

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<v Speaker 1>very rare playoffs that clan I was talking about. And

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<v Speaker 1>so I just wanted to say that probably an options market,

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<v Speaker 1>you don't really need the market to go up to

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<v Speaker 1>have your beds working out. And that's why even now,

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<v Speaker 1>you would not expect people to reduce this bigheraor or

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<v Speaker 1>to stop gambling because the market is going down, because

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<v Speaker 1>you can still trade contracts with the same way of profile.

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<v Speaker 1>And can I also ask you, tay see what sort

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<v Speaker 1>of feedback you guys received after the research paper came out.

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<v Speaker 1>What were people telling you, Well, it's so far in progress,

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<v Speaker 1>we're still presenting it in conferences, but it has definitely

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<v Speaker 1>received a lot of attention. When we are happy that

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<v Speaker 1>we can attract this attention to this topic because it

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<v Speaker 1>seems like it is important, particularly important for this new

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<v Speaker 1>generation of retail traders. And what I find uh sort

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<v Speaker 1>of fascinating about this topic, um is there's been a

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<v Speaker 1>lot of scrutiny in the US towards the wholesalers or

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<v Speaker 1>the internalizers however you want to call him, the the

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<v Speaker 1>market makers who UH engage in payment for order flow.

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<v Speaker 1>I'm wondering if in this research a if if you

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<v Speaker 1>sort of detected anything that would suggest that these players

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<v Speaker 1>did anything that was against the rules. I mean, obviously

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<v Speaker 1>there's a debate about whether this type of practice should

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<v Speaker 1>be allowed or should be reformed to some degree, but

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<v Speaker 1>were they playing within the rules. Well, we haven't found anything,

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<v Speaker 1>I'm afraid to tell you, but they are some facts

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<v Speaker 1>about these wholesalers to be document For example, did you

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<v Speaker 1>know that eighty five of payment for other flow people

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<v Speaker 1>in options comes from just three wholesalers? Sit adele, says Quehanna,

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<v Speaker 1>and we'll we're in. That is amazing. Yeah, And you know,

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<v Speaker 1>there's spent a lot of talk in years past about, um,

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<v Speaker 1>you know, options are incredibly complicated products that perhaps retail

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<v Speaker 1>traders should not be going near there. I remember in

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<v Speaker 1>years past there was talk about, well, in order to

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<v Speaker 1>actually trade options, you should have to undergo some sort

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<v Speaker 1>of education program and pass a test that sort of thing.

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<v Speaker 1>Do you guys think there's some merit to that is?

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<v Speaker 1>Should maybe that be you know, the way the direction

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<v Speaker 1>this should go, that retail traders should perhaps not be

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<v Speaker 1>allowed to engage in this type of really risky trading

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<v Speaker 1>without some sort of education. First, well, during our day job,

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<v Speaker 1>we teach students how to invest their money, and what

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<v Speaker 1>we tell them that even if they make mistakes paying

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<v Speaker 1>too high a fee, they should still invest in the

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<v Speaker 1>stock market because the worst they can do to themselves

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<v Speaker 1>is to not participate in options. There is no such thing.

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<v Speaker 1>There is no such thing as losing on the equity

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<v Speaker 1>premium because there is no such thing as an option premium.

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<v Speaker 1>It's a zero some game. It's a win to some

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<v Speaker 1>one side and the loss to another side. So what

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<v Speaker 1>we tell students is that they should not invest in options.

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<v Speaker 1>Retail investors should not invest in options unless they have

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<v Speaker 1>some risk to hedge. We have looked very carefully in

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<v Speaker 1>our data whether the patterns we find are consistent with hedging,

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<v Speaker 1>and tell you what not at all your speculation as

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<v Speaker 1>far as we can tell. While we talk a lot

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<v Speaker 1>about the recent growth of options popularity inm on retail

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<v Speaker 1>investors and all the technology you know, all these apps

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<v Speaker 1>that go along with it, but it is actually also

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<v Speaker 1>worth remembering that actually people have been trading options for

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<v Speaker 1>not just years, but centuries, and in fact, the first

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<v Speaker 1>ever book that was written about financial markets in six

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<v Speaker 1>in Amsterdam is almost all about options training and it

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<v Speaker 1>talks about exactly the same issues that we see in

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<v Speaker 1>the markets today, herding behavior, over confidence, you know, short

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<v Speaker 1>term mism of the investors, and of course real underestimation

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<v Speaker 1>of the risks of the financial art. I love that

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<v Speaker 1>you have these facts sort of just sitting on the

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<v Speaker 1>top of your head. But Atlanta, I actually have a

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<v Speaker 1>follow up for you, which is when you and I

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<v Speaker 1>spoke a couple of weeks ago, you had told me

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<v Speaker 1>that the type of contracts that retail investors tend to

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<v Speaker 1>favor have sort of lottery features, and I wanted you

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<v Speaker 1>to sort of explain that and what you mean when

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<v Speaker 1>you say lottery like features. Well, what are the usual

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<v Speaker 1>features of the lottery. Um, Usually you pay a small

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<v Speaker 1>fee to participate in this lottery in and raw to

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<v Speaker 1>win something big, but the chances of your winning are

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<v Speaker 1>actually incredibly small, right, So this is the type of

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<v Speaker 1>or bet, but in this case some financial market where

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<v Speaker 1>you pay some fee up front and then there is

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<v Speaker 1>a small probability that you can win, but actually very

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<v Speaker 1>high probabilities that you're not going to get anything. And

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<v Speaker 1>these are exactly the features of the option contracts that

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<v Speaker 1>we find out to be really popular among retail investors.

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<v Speaker 1>So for example, these are the contracts which are very

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<v Speaker 1>short in terms of the maturity, like weekly options that

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<v Speaker 1>are going to expire maybe two or three days from now.

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<v Speaker 1>These are the contracts they like that are going to

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<v Speaker 1>be on the stocks that do not cost a lot

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<v Speaker 1>of money, so the fee of participating is also quite

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<v Speaker 1>not And these are unfortunately also the contracts on securities

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<v Speaker 1>that have been all over the news. So it doesn't

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<v Speaker 1>look like, you know, they're really doing it for you know,

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<v Speaker 1>hedging purpose of doing some sort of deep analysis. It

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<v Speaker 1>seems like they're just following whatever is trendy and try

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<v Speaker 1>to bet on the price going off. An I know

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<v Speaker 1>this is this is gonna be a tough question to answer, um,

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<v Speaker 1>but do you think, what if you have any opinions

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<v Speaker 1>on whether this was sort of a one time phenomenon

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<v Speaker 1>that it was a confluence of you know, people stuck

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<v Speaker 1>at home, too much time on their hands, maybe a

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<v Speaker 1>little too much cash, and sort of a perfect storm

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<v Speaker 1>that created the type of environment for this type of

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<v Speaker 1>as you say, crowd behavior and hurting or you know,

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<v Speaker 1>is there a risk that we could see something like

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<v Speaker 1>this happened again sort of after you know, the traders

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<v Speaker 1>who who lost their shirts in this round of trading, uh,

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<v Speaker 1>you know, get some more money to trade or more

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<v Speaker 1>traders come in. How do you think, you know, how

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<v Speaker 1>do you think of it as as terms of risk

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<v Speaker 1>going forward or was it just sort of one of

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<v Speaker 1>the crazy things that happened during the pandemic And we

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<v Speaker 1>probably won't see something like this again. Haven't we seen

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<v Speaker 1>something like this? Just last week? Bloomberg wrote about Revlon

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<v Speaker 1>that's new game stop true, it's probably speaks more to just, uh,

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<v Speaker 1>you know, that get rich quick mentality that's been been

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<v Speaker 1>with us forever, I guess. And and this is just

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<v Speaker 1>really a drastic example of it, of of it really

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<v Speaker 1>getting out of control, absolutely, and it's gambling and seems

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<v Speaker 1>and hey, it's cheap than Las Vegas. So you mentioned

0:13:53.320 --> 0:13:56.440
<v Speaker 1>that a lot of retail investors tend to favor the

0:13:56.520 --> 0:13:59.120
<v Speaker 1>stocks that they see online or you know, read it

0:13:59.160 --> 0:14:01.520
<v Speaker 1>as often mentioned and Twitter as well, and you had

0:14:01.520 --> 0:14:05.400
<v Speaker 1>found that stacks mentioned on Wall Street, um, those that

0:14:05.640 --> 0:14:09.760
<v Speaker 1>actually didn't totally pay off for retail investors. Right, So

0:14:09.800 --> 0:14:13.320
<v Speaker 1>you have a list of tap losers for retail trades,

0:14:13.400 --> 0:14:17.080
<v Speaker 1>and that includes game Stop and am C in your research.

0:14:17.480 --> 0:14:19.880
<v Speaker 1>But both of those stocks were stuck that were in

0:14:19.880 --> 0:14:23.480
<v Speaker 1>the top five winner's basket for the market as a whole,

0:14:23.600 --> 0:14:27.000
<v Speaker 1>So can you tell us about that? And you're absolutely right,

0:14:27.480 --> 0:14:30.440
<v Speaker 1>you know, the common narrative was that during the time

0:14:30.480 --> 0:14:33.200
<v Speaker 1>of the Game Stop, it was the retail investors that

0:14:33.320 --> 0:14:36.800
<v Speaker 1>finally took control of the markets and managed to get

0:14:37.080 --> 0:14:40.000
<v Speaker 1>a good profit out of those transactions. But that's actually

0:14:40.040 --> 0:14:42.760
<v Speaker 1>not what we see in the data. In fact, game

0:14:42.800 --> 0:14:47.040
<v Speaker 1>Stop and AMC Entertainment, which was another really popular meme

0:14:47.120 --> 0:14:51.400
<v Speaker 1>stop back at the time, they were among the worst

0:14:51.480 --> 0:14:55.240
<v Speaker 1>performing contracts that the retail investors have been dealing with

0:14:55.600 --> 0:14:58.800
<v Speaker 1>during the whole sample that we consider. So not only

0:14:58.920 --> 0:15:01.680
<v Speaker 1>that they definitely so we've lost a lot of money

0:15:01.680 --> 0:15:05.920
<v Speaker 1>on these type of securities. But surprisingly, as they also mentioned,

0:15:06.320 --> 0:15:09.880
<v Speaker 1>it's actually the transactions that were utenated by other market

0:15:09.920 --> 0:15:14.520
<v Speaker 1>participants that is usually petge funds, you know, professional investors

0:15:14.840 --> 0:15:18.120
<v Speaker 1>who managed to win a lot on building on options

0:15:18.160 --> 0:15:21.560
<v Speaker 1>at the same time exactly the same theme stocks Jimmy

0:15:21.880 --> 0:15:26.800
<v Speaker 1>and AMC, and I wonder you know, clearly the narrative

0:15:26.840 --> 0:15:28.800
<v Speaker 1>in the press and the media was that this was

0:15:29.080 --> 0:15:33.280
<v Speaker 1>so driven by Reddit and social media and these influential

0:15:33.440 --> 0:15:36.840
<v Speaker 1>characters on Reddit. Um. I know it's hard to sort

0:15:36.880 --> 0:15:39.920
<v Speaker 1>of suss that out from just crunching through the data

0:15:40.400 --> 0:15:42.920
<v Speaker 1>like you guys did, but I'm curious if if any

0:15:42.960 --> 0:15:45.560
<v Speaker 1>of you have any opinions on if there's something that

0:15:45.600 --> 0:15:50.040
<v Speaker 1>should be done about that phenomenon. Clearly there were some

0:15:50.240 --> 0:15:54.800
<v Speaker 1>dishonest people on social media, I believe, who tried to

0:15:55.480 --> 0:16:01.680
<v Speaker 1>convince amateur new traders that you know, I remember, you know,

0:16:01.920 --> 0:16:04.640
<v Speaker 1>posts about AMC is going to go to a hundred

0:16:04.680 --> 0:16:08.240
<v Speaker 1>thousand dollars of share once the Hedge funds cover, you know,

0:16:08.440 --> 0:16:12.520
<v Speaker 1>some ridiculous sort of notions being thrown around on social

0:16:12.600 --> 0:16:15.920
<v Speaker 1>media that, um, you know, if you're a brand new

0:16:16.000 --> 0:16:19.000
<v Speaker 1>trader and you get sucked into this rabbit hole. Uh,

0:16:19.320 --> 0:16:21.480
<v Speaker 1>it seems like some of them felt worth. I mean,

0:16:21.720 --> 0:16:24.080
<v Speaker 1>you know, we live in a society where freedom of

0:16:24.160 --> 0:16:26.600
<v Speaker 1>speech is highly valued. But is there you know, is

0:16:26.600 --> 0:16:28.680
<v Speaker 1>there something you think that could be done to prevent

0:16:28.760 --> 0:16:32.320
<v Speaker 1>that sort of manipulative behavior that that sort of draws

0:16:32.360 --> 0:16:37.440
<v Speaker 1>people into these losing trades. That's a great question, Mike,

0:16:37.640 --> 0:16:42.320
<v Speaker 1>and to bell STI also really difficult one. Um, defining

0:16:42.440 --> 0:16:44.480
<v Speaker 1>kind of the rules of the freedom of speech is

0:16:44.640 --> 0:16:49.720
<v Speaker 1>incredibly complicated topic, and finance in particular. But one thing

0:16:49.800 --> 0:16:52.560
<v Speaker 1>that I think it's worth always remembering for investors is

0:16:52.640 --> 0:16:55.480
<v Speaker 1>that whatever you do on various forums, that does not

0:16:55.600 --> 0:16:58.880
<v Speaker 1>necessarily mean that this is actually what those people implement

0:16:58.960 --> 0:17:01.160
<v Speaker 1>in real life. So they could be just chip talk

0:17:01.280 --> 0:17:02.960
<v Speaker 1>and a lot of the people would be, you know,

0:17:03.120 --> 0:17:06.359
<v Speaker 1>talking about different strategies or the performance that, but that

0:17:06.600 --> 0:17:08.919
<v Speaker 1>often has nothing to do with reality. Let me give

0:17:08.960 --> 0:17:12.280
<v Speaker 1>you one example. Back at the height of the you know,

0:17:12.440 --> 0:17:17.280
<v Speaker 1>game stop Frenzy um Citadel actually released a report based

0:17:17.359 --> 0:17:21.520
<v Speaker 1>on their transactions of the same retail investors that they

0:17:21.640 --> 0:17:24.480
<v Speaker 1>actually implement, and what they find out is that during

0:17:24.520 --> 0:17:27.520
<v Speaker 1>the week or that incredible increase in the price where

0:17:27.520 --> 0:17:30.520
<v Speaker 1>the Wolstree Bad forum was all about, you know, holding

0:17:30.640 --> 0:17:33.320
<v Speaker 1>too the moon and hoping that the price of Jimmy

0:17:33.359 --> 0:17:36.320
<v Speaker 1>and It's going to reach all the way to one dollars,

0:17:36.960 --> 0:17:42.560
<v Speaker 1>that was the time where the amount of buying investors

0:17:42.640 --> 0:17:47.240
<v Speaker 1>and selling investors was almost exactly identically. So the retail

0:17:47.400 --> 0:17:50.080
<v Speaker 1>or the flow was incredibly balanced, and there was actually

0:17:50.200 --> 0:17:52.760
<v Speaker 1>not much evidence that they were really not holding too

0:17:52.800 --> 0:17:56.320
<v Speaker 1>the moon. So yes, forums are quite trickier, and I

0:17:56.400 --> 0:17:58.480
<v Speaker 1>honestly we don't think that there is any reason to

0:17:58.560 --> 0:18:00.760
<v Speaker 1>believe whatever you read them. After all, these are not

0:18:00.880 --> 0:18:04.480
<v Speaker 1>financial advisors. They're not bound to you by any code

0:18:04.520 --> 0:18:07.359
<v Speaker 1>of ethic. You cannot see, Um, you know a person

0:18:07.480 --> 0:18:10.880
<v Speaker 1>who's been writing, you know, some dishonest information or convincing

0:18:10.920 --> 0:18:13.680
<v Speaker 1>other people to be in a certain way. The best

0:18:13.720 --> 0:18:16.440
<v Speaker 1>thing is just, you know, to remember that you have

0:18:16.520 --> 0:18:19.320
<v Speaker 1>to think very very careful about what to trust in

0:18:19.480 --> 0:18:23.040
<v Speaker 1>terms of the information. I think only read Wildonna's stories

0:18:23.200 --> 0:18:27.840
<v Speaker 1>is what you're saying, right, Definitely, That's not how the

0:18:28.480 --> 0:18:31.240
<v Speaker 1>Twitter responses I get sometimes. But T see, I want

0:18:31.240 --> 0:18:33.320
<v Speaker 1>to bring you in here because a big part of

0:18:33.400 --> 0:18:35.440
<v Speaker 1>what you guys were looking into where the trading costs

0:18:35.480 --> 0:18:39.320
<v Speaker 1>that were associated with retail investors trading these options, and

0:18:39.480 --> 0:18:42.080
<v Speaker 1>so you guys wrote the retail investors might have been

0:18:42.240 --> 0:18:46.400
<v Speaker 1>underestimating the trading costs associated a bit ask spreads were

0:18:46.440 --> 0:18:49.600
<v Speaker 1>super vide for retail versus the overall market. Why is that?

0:18:49.680 --> 0:18:52.840
<v Speaker 1>And can you explain that to us? Yeah? Probably it's

0:18:52.880 --> 0:18:57.040
<v Speaker 1>just for us mentioning that the zero commissioned profit promise

0:18:57.200 --> 0:19:01.399
<v Speaker 1>that typically comes from the broker is only part of

0:19:01.480 --> 0:19:04.959
<v Speaker 1>the cost that you wear when you trade in this market.

0:19:05.520 --> 0:19:07.560
<v Speaker 1>So the price that you will actually pay will not

0:19:07.800 --> 0:19:11.800
<v Speaker 1>be the midpoint, you know, the uh, somewhere in between

0:19:11.840 --> 0:19:15.240
<v Speaker 1>the asking and the big price in the market. UH. So,

0:19:15.440 --> 0:19:18.480
<v Speaker 1>in fact, you will always kind of imagine, if you're

0:19:18.480 --> 0:19:21.080
<v Speaker 1>buying a contract and then you're selling it, you will

0:19:21.119 --> 0:19:24.040
<v Speaker 1>be paying this round trip costs each time. And this

0:19:24.200 --> 0:19:26.640
<v Speaker 1>is what happens in markets with such high ron over

0:19:26.960 --> 0:19:31.600
<v Speaker 1>like options, and that is why investors paidous costs. And

0:19:31.680 --> 0:19:34.639
<v Speaker 1>what we see is also as we mentioned before, this

0:19:34.800 --> 0:19:38.480
<v Speaker 1>investors seemed to prefer really short term contracts. And imagine

0:19:38.520 --> 0:19:42.480
<v Speaker 1>if you were, like, let's say, interested in weeklies on Amazon,

0:19:42.720 --> 0:19:45.400
<v Speaker 1>for example, so you buy it this week and then

0:19:45.440 --> 0:19:48.520
<v Speaker 1>within the wicket will expire. But if you again want

0:19:48.560 --> 0:19:50.639
<v Speaker 1>to gamble, you will buy one more contract and then

0:19:50.720 --> 0:19:52.720
<v Speaker 1>one more one more, so you turn over will be

0:19:52.800 --> 0:19:55.760
<v Speaker 1>pretty high, and each time you will pay around twelve

0:19:55.880 --> 0:19:59.640
<v Speaker 1>percent UH with ask spread. That is what we document

0:19:59.760 --> 0:20:03.040
<v Speaker 1>and the payment sure, zero commission, but twelve percent is

0:20:03.080 --> 0:20:07.080
<v Speaker 1>still a lot. And I'm sure every market maker in

0:20:07.160 --> 0:20:11.879
<v Speaker 1>the world is their eyes pop out their heads when

0:20:11.920 --> 0:20:16.000
<v Speaker 1>they hear the a twelve percent that has spread there's

0:20:16.000 --> 0:20:19.000
<v Speaker 1>a lot of potential than the profit from that. I

0:20:19.080 --> 0:20:24.440
<v Speaker 1>suppose you're absolutely right. And by the way, this spread

0:20:24.600 --> 0:20:26.760
<v Speaker 1>is even higher than what you get for used cars.

0:20:27.400 --> 0:20:30.840
<v Speaker 1>That tells me something about you know, how this market opulates.

0:20:33.000 --> 0:20:35.680
<v Speaker 1>That's great, you can higher than used cars. I like that.

0:20:36.119 --> 0:20:38.280
<v Speaker 1>That might be the craziest thing of the week. So

0:20:38.400 --> 0:20:41.000
<v Speaker 1>when we looked at payment for other flow for the

0:20:41.240 --> 0:20:45.680
<v Speaker 1>very first time, we got data from all retail brokerages

0:20:45.720 --> 0:20:49.879
<v Speaker 1>in the US, and what shocked us is that payment

0:20:49.960 --> 0:20:53.719
<v Speaker 1>for other flow for options is so much higher than

0:20:53.800 --> 0:20:57.800
<v Speaker 1>for stocks. Two thirds of payment for other flow comes

0:20:57.840 --> 0:21:00.920
<v Speaker 1>from options, and you would think only a very small

0:21:01.000 --> 0:21:05.560
<v Speaker 1>fraction of those retails and that there's trade options. That's

0:21:05.600 --> 0:21:08.560
<v Speaker 1>how we started digging, and that's when we discovered that

0:21:08.680 --> 0:21:14.080
<v Speaker 1>twelve percent. That is surely the answer why it is

0:21:14.240 --> 0:21:19.679
<v Speaker 1>so attractive to be a wholesaler in intermediating options transactions

0:21:20.359 --> 0:21:22.639
<v Speaker 1>at Lana. Can I ask you about the new some

0:21:22.760 --> 0:21:24.560
<v Speaker 1>of the headlines that we had seen recently about the

0:21:24.800 --> 0:21:28.280
<v Speaker 1>SEC waying changes to its trading rules. I'm wanting, just

0:21:29.320 --> 0:21:34.360
<v Speaker 1>like from your personal view, what you make of those Well, um,

0:21:34.760 --> 0:21:37.240
<v Speaker 1>to be honest, we still are going to be waiting

0:21:37.240 --> 0:21:39.440
<v Speaker 1>to see kind of the final decision on how those

0:21:39.520 --> 0:21:42.560
<v Speaker 1>changes are going to be implemented in the markets. But

0:21:42.680 --> 0:21:44.879
<v Speaker 1>I think there is definitely a lot of the interest

0:21:44.960 --> 0:21:47.800
<v Speaker 1>in this topic and both equities and options, and that's

0:21:48.680 --> 0:21:51.080
<v Speaker 1>actually one of the reason why we think that looking

0:21:51.160 --> 0:21:54.400
<v Speaker 1>at the options market is becoming more and more important

0:21:54.480 --> 0:21:57.840
<v Speaker 1>because one of the points that the SEC chairman was

0:21:58.080 --> 0:22:00.960
<v Speaker 1>mentioning and there isn't announcement, is that they are thinking

0:22:01.000 --> 0:22:04.680
<v Speaker 1>about potentially adopting some of the elements of this trade,

0:22:04.720 --> 0:22:08.280
<v Speaker 1>how it's organized in the auctions market and then transferred

0:22:08.440 --> 0:22:11.600
<v Speaker 1>into the trading in stocks, in particular the so called

0:22:12.000 --> 0:22:15.720
<v Speaker 1>auctions um during which are the pricing of those contractors

0:22:15.760 --> 0:22:19.040
<v Speaker 1>being determined. So we definitely need to, you know, learn

0:22:19.080 --> 0:22:21.720
<v Speaker 1>more about this market, is how they operate, what's the

0:22:21.760 --> 0:22:25.080
<v Speaker 1>market power of different participants, and how it all fixed together,

0:22:25.160 --> 0:22:28.399
<v Speaker 1>because ultimately we need to design the system that's going

0:22:28.440 --> 0:22:32.080
<v Speaker 1>to benefit retail investors first and foremost. And there are

0:22:32.160 --> 0:22:34.359
<v Speaker 1>lots of questions on which we still don't belt up

0:22:34.400 --> 0:22:40.639
<v Speaker 1>really good data, really good answers. Well, so far, this

0:22:40.760 --> 0:22:46.480
<v Speaker 1>attention of politymaker has been focused primarily on equities. Why equities,

0:22:47.280 --> 0:22:53.240
<v Speaker 1>because these trades and equities retail trades are crossed by

0:22:53.359 --> 0:23:01.439
<v Speaker 1>these wholesalers on their own private platforms. That's what internalization is. Technically,

0:23:01.840 --> 0:23:07.359
<v Speaker 1>options trades cannot be internalized because all options in the

0:23:07.440 --> 0:23:13.240
<v Speaker 1>United States trade on exchanges. But what we've found is

0:23:13.359 --> 0:23:18.080
<v Speaker 1>that some of these orders are effectively internalized, and they

0:23:18.160 --> 0:23:22.560
<v Speaker 1>do it through the so called price improvement auctions. The

0:23:22.640 --> 0:23:29.920
<v Speaker 1>wholesaler engages an affiliated market maker, and the market maker

0:23:30.480 --> 0:23:35.840
<v Speaker 1>brings retail order with its own contra order and pushes

0:23:35.920 --> 0:23:41.920
<v Speaker 1>it through these price improvement auctions. Theoretically, these price improvement auctions,

0:23:42.440 --> 0:23:45.800
<v Speaker 1>they have an exposure period a hundred milliseconds, which is

0:23:46.240 --> 0:23:49.560
<v Speaker 1>a lot in the trading world, and other market makers

0:23:49.680 --> 0:23:55.600
<v Speaker 1>can compete for these orders, but practically the fees to

0:23:55.680 --> 0:24:00.440
<v Speaker 1>break these auctions are quite high, so many orders just

0:24:00.600 --> 0:24:07.359
<v Speaker 1>go through without competition. Therefore, they're effectively internalized. And Garrett

0:24:07.400 --> 0:24:11.040
<v Speaker 1>Gasler mentioned that one of the things they want to

0:24:11.160 --> 0:24:16.000
<v Speaker 1>do is to institute auctions like price improvement auctions we

0:24:16.080 --> 0:24:21.399
<v Speaker 1>have in the options market. This is a little concerning,

0:24:21.520 --> 0:24:26.360
<v Speaker 1>isn't it, because that's exactly how options orders are effectively

0:24:26.480 --> 0:24:33.360
<v Speaker 1>internalized in bright daylight on national exchange. Well, I want

0:24:33.400 --> 0:24:35.359
<v Speaker 1>to actually have a follow up for you on that,

0:24:35.600 --> 0:24:37.560
<v Speaker 1>which is that a lot of the talk about the

0:24:37.600 --> 0:24:41.800
<v Speaker 1>new SEC rules revolved around potentially the zero commissions going

0:24:41.880 --> 0:24:45.000
<v Speaker 1>away should new rules be implemented, And I'm wondering if

0:24:45.040 --> 0:24:48.640
<v Speaker 1>you think that's potentially a possibility if something new does

0:24:48.720 --> 0:24:51.320
<v Speaker 1>come about from the SEC. And by the way, if

0:24:51.440 --> 0:24:55.000
<v Speaker 1>I'm sure listeners can hear a kitty cat yawing in

0:24:55.080 --> 0:25:00.440
<v Speaker 1>the background, she's the six member of our little talk here,

0:25:00.480 --> 0:25:06.600
<v Speaker 1>which I'm I'm all in favor of. Mhm. So well, um,

0:25:07.680 --> 0:25:13.200
<v Speaker 1>there payment for other flow would exist even without the

0:25:13.320 --> 0:25:18.520
<v Speaker 1>actual payment for other flow for brokerages, so exchanges have

0:25:18.680 --> 0:25:21.560
<v Speaker 1>been using a payment for other flow model for a

0:25:21.680 --> 0:25:26.200
<v Speaker 1>long time. There are the maker taker fees, so I

0:25:26.280 --> 0:25:29.160
<v Speaker 1>think effectively this payment for other flow might just move

0:25:29.280 --> 0:25:33.959
<v Speaker 1>to exchanges. So you know, people have to make money anyway.

0:25:34.080 --> 0:25:37.199
<v Speaker 1>They were not going to close all the brokerages, right,

0:25:37.320 --> 0:25:40.680
<v Speaker 1>so it's just they will still be payment for other flow,

0:25:40.720 --> 0:25:43.000
<v Speaker 1>it just will not be all payment for other flow

0:25:43.119 --> 0:25:48.240
<v Speaker 1>and will be in a different form. I think one

0:25:48.680 --> 0:25:51.280
<v Speaker 1>issue that people should always remember is that there is

0:25:51.440 --> 0:25:53.720
<v Speaker 1>no such a thing as free lunch on the market.

0:25:54.359 --> 0:25:56.560
<v Speaker 1>So the fact that there is zero commission that means

0:25:56.680 --> 0:25:59.160
<v Speaker 1>that these fees are just being paid by somebody else.

0:25:59.800 --> 0:26:02.480
<v Speaker 1>So is the question is cool? And ultimately you know

0:26:02.560 --> 0:26:04.200
<v Speaker 1>which pocket is going to be the one where it

0:26:04.280 --> 0:26:07.080
<v Speaker 1>all sort of don't So is it going to be,

0:26:07.680 --> 0:26:10.879
<v Speaker 1>you know, through spreads, is it going to be through commissions,

0:26:11.000 --> 0:26:13.000
<v Speaker 1>is it going to be through other forms of payment?

0:26:15.160 --> 0:26:16.880
<v Speaker 1>And and I just to wrap things up, I want

0:26:16.920 --> 0:26:18.600
<v Speaker 1>to ask you if there's something you're seeing in the

0:26:18.720 --> 0:26:21.080
<v Speaker 1>market or something new that you guys have noticed or

0:26:21.240 --> 0:26:24.960
<v Speaker 1>that has interested you in recent months that you're potentially

0:26:25.040 --> 0:26:30.879
<v Speaker 1>thinking about researching going forward. We see this increase in

0:26:31.160 --> 0:26:36.639
<v Speaker 1>volume across the board in financial markets, not just retail

0:26:36.800 --> 0:26:43.280
<v Speaker 1>trading volume, but some very sophisticated the investors trading volume,

0:26:43.720 --> 0:26:46.600
<v Speaker 1>all sorts of things. So and we are wondering what's

0:26:46.680 --> 0:26:52.920
<v Speaker 1>happening to this ecosystem. It this market is growing and changing.

0:26:53.080 --> 0:26:56.600
<v Speaker 1>It's a big transformational change. And this is what we're

0:26:56.640 --> 0:27:01.080
<v Speaker 1>trying to understand. Who came to that more kit alongside

0:27:01.200 --> 0:27:04.640
<v Speaker 1>retail investors and what the ecosystem is going to look

0:27:04.720 --> 0:27:23.320
<v Speaker 1>like going forward. But first of all, Donna, I have

0:27:23.480 --> 0:27:27.000
<v Speaker 1>to say, you know, this show's tradition is to end

0:27:27.119 --> 0:27:29.600
<v Speaker 1>with the craziest things we've seen in markets this week.

0:27:30.320 --> 0:27:33.280
<v Speaker 1>I don't think I can top something as crazy as

0:27:33.400 --> 0:27:36.880
<v Speaker 1>the options trading in meme stocks. Uh that happened during

0:27:36.880 --> 0:27:38.840
<v Speaker 1>the pandemic. So I'm at a loss for for a

0:27:38.880 --> 0:27:40.879
<v Speaker 1>crazy thing this week. I think the whole show is

0:27:40.920 --> 0:27:45.399
<v Speaker 1>kind of the crazy thing for me. It's fascinating, isn't it.

0:27:45.600 --> 0:27:47.800
<v Speaker 1>It's absolutely fascinating. The first time I'll have to take

0:27:48.240 --> 0:27:53.320
<v Speaker 1>a pass on the crazy thing. That's that's that's very

0:27:53.440 --> 0:27:55.359
<v Speaker 1>rare for you. It is very very rare. As you know,

0:27:55.440 --> 0:27:58.680
<v Speaker 1>I'm an officiate auto of crazy. Are you feeling okay? Yeah,

0:28:00.160 --> 0:28:02.240
<v Speaker 1>I might need to lie down. I might need to

0:28:02.280 --> 0:28:05.959
<v Speaker 1>lie down. As Mike mentioned, all of this has been

0:28:06.000 --> 0:28:09.080
<v Speaker 1>one of the craziest things that we've seen in markets

0:28:09.119 --> 0:28:11.840
<v Speaker 1>in the last year, year and a half, two years.

0:28:12.400 --> 0:28:16.040
<v Speaker 1>But as listeners know, we play the craziest thing we've

0:28:16.119 --> 0:28:19.600
<v Speaker 1>seen at the end of each episode, and since six

0:28:19.720 --> 0:28:23.720
<v Speaker 1>months have passed so far in I know one of

0:28:23.800 --> 0:28:26.960
<v Speaker 1>you has come with the craziest thing that you've collectively

0:28:27.080 --> 0:28:31.080
<v Speaker 1>gathered right about markets or the economy, or something really

0:28:31.200 --> 0:28:34.520
<v Speaker 1>interesting besides obviously what you've been researching that that has

0:28:34.600 --> 0:28:38.240
<v Speaker 1>really uh sort of caught your caught your eyes. So

0:28:38.440 --> 0:28:41.120
<v Speaker 1>c Atlanta, I'll hand it over to you and you

0:28:41.160 --> 0:28:43.760
<v Speaker 1>can sort of present us your craziest thing of of

0:28:44.960 --> 0:28:47.800
<v Speaker 1>two that you've seen so far. Yes, I have one

0:28:48.160 --> 0:28:51.960
<v Speaker 1>good one for you. So apparently many people already know

0:28:52.080 --> 0:28:55.120
<v Speaker 1>about it, but I have literally just found out about

0:28:55.160 --> 0:28:58.120
<v Speaker 1>it a few days ago, that there was a hamster

0:28:58.480 --> 0:29:02.360
<v Speaker 1>called Mr Gox who would choose what type of cryptop

0:29:02.400 --> 0:29:05.280
<v Speaker 1>parnce is to invest in using around in the world.

0:29:06.280 --> 0:29:08.960
<v Speaker 1>And it's really mind blowing. You know, he had live

0:29:09.040 --> 0:29:13.719
<v Speaker 1>streams on Twitch that almost like eighteen thousand followers on Twitter,

0:29:14.280 --> 0:29:18.280
<v Speaker 1>and um he had been performing in exactly the same

0:29:18.280 --> 0:29:20.440
<v Speaker 1>way that he would sort of expect from a random

0:29:20.640 --> 0:29:24.280
<v Speaker 1>hamster choice. So, you know, when the crypto market was starting,

0:29:24.400 --> 0:29:27.000
<v Speaker 1>when everything was going well, or so did his beds.

0:29:27.720 --> 0:29:30.520
<v Speaker 1>And at that time, you know, there are newspapers all

0:29:30.600 --> 0:29:34.000
<v Speaker 1>over the world, you know, Forbes and others are saying,

0:29:34.040 --> 0:29:37.280
<v Speaker 1>you know, this is the hamster that manages to outperform

0:29:37.400 --> 0:29:41.440
<v Speaker 1>more on Buffett in terms of the investors. Yeah, not surprising, right,

0:29:41.880 --> 0:29:45.160
<v Speaker 1>But then obviously when the market decided to go down

0:29:45.480 --> 0:29:48.560
<v Speaker 1>and as we saw those you know, absolutely crushing you

0:29:48.640 --> 0:29:51.840
<v Speaker 1>know movements and the crypto exchanges as and so did

0:29:51.920 --> 0:29:55.400
<v Speaker 1>his portfolio. So ultimately over the last year he lost

0:29:55.520 --> 0:29:58.640
<v Speaker 1>like cent of it starting capital or something like this,

0:29:59.080 --> 0:30:01.480
<v Speaker 1>which I think it's a really good remind us that,

0:30:01.640 --> 0:30:04.200
<v Speaker 1>you know, we all hear the stories about you know,

0:30:04.280 --> 0:30:06.760
<v Speaker 1>there was a stock picking cat back in like two

0:30:06.800 --> 0:30:10.280
<v Speaker 1>thousand fourteen, I think named Orlando. Unfortunately not the one

0:30:10.320 --> 0:30:14.960
<v Speaker 1>that we heard today. Um, maybe next time. The next time.

0:30:15.040 --> 0:30:18.320
<v Speaker 1>That's right, there is a kipto picking hamster. So we

0:30:18.440 --> 0:30:20.920
<v Speaker 1>all hear about the times of their success. But what

0:30:21.080 --> 0:30:24.080
<v Speaker 1>you don't hear is that obviously, you know, one that

0:30:24.400 --> 0:30:26.800
<v Speaker 1>random luck runs out they do of course on the

0:30:26.840 --> 0:30:29.560
<v Speaker 1>perform and a loose a lot of money overall. So

0:30:29.920 --> 0:30:32.600
<v Speaker 1>that's my fun factor for you guys. Yeah, now I

0:30:32.720 --> 0:30:35.120
<v Speaker 1>love it. That's perfect. I actually use the hamster as

0:30:35.200 --> 0:30:38.200
<v Speaker 1>my craziest thing on an episode maybe at the start

0:30:38.240 --> 0:30:40.200
<v Speaker 1>of the year, maybe it was January, I don't remember

0:30:40.200 --> 0:30:42.080
<v Speaker 1>when it was, but I remember seeing an article about

0:30:42.120 --> 0:30:44.719
<v Speaker 1>it and a little hamster wheel and everything, and how

0:30:44.840 --> 0:30:48.440
<v Speaker 1>great the hamster had been doing apparently. And my craziest

0:30:48.480 --> 0:30:52.280
<v Speaker 1>thing also actually is has to do with what's been

0:30:52.320 --> 0:30:55.320
<v Speaker 1>happening in crypto. I've been fascinated by all the implosions

0:30:55.800 --> 0:30:57.840
<v Speaker 1>that have been happening in the crypto space with different

0:30:57.880 --> 0:31:01.080
<v Speaker 1>hedge funds and lenders. But I wanted to point one

0:31:01.520 --> 0:31:06.000
<v Speaker 1>really amazing story out from Bloomberg. Actually it's by our

0:31:06.080 --> 0:31:10.200
<v Speaker 1>colleague Seek Fox, and it's it's about how how how

0:31:10.280 --> 0:31:14.000
<v Speaker 1>to watch the world's biggest bitcoin hack. And it's about

0:31:14.120 --> 0:31:18.280
<v Speaker 1>two I suppose alleged fraudsters who were able to very

0:31:18.400 --> 0:31:22.320
<v Speaker 1>skillfully steal steal something that turned out to be worth

0:31:22.480 --> 0:31:26.640
<v Speaker 1>eight billion dollars worth of bitcoin from bitfit x many

0:31:26.760 --> 0:31:29.640
<v Speaker 1>years ago, and and and they were they were caught. Uh,

0:31:30.680 --> 0:31:32.240
<v Speaker 1>I believe it was a couple of months ago, and

0:31:32.800 --> 0:31:35.360
<v Speaker 1>our colleague Seek just really dives into it and how

0:31:35.440 --> 0:31:37.720
<v Speaker 1>it all happened and how they were able to do it.

0:31:37.880 --> 0:31:40.560
<v Speaker 1>So there's lots of crazy stuff happening in krypto and

0:31:41.640 --> 0:31:44.280
<v Speaker 1>with the hamster with everything, and that really that one also,

0:31:44.400 --> 0:31:47.880
<v Speaker 1>that's sorry, really stuck out to me. But thank you

0:31:47.960 --> 0:31:49.840
<v Speaker 1>guys so much for joining us. I'm so happy you

0:31:49.920 --> 0:31:52.840
<v Speaker 1>were able to come on and talk about everything, and

0:31:54.000 --> 0:31:56.200
<v Speaker 1>hopefully we can have you back on for your next

0:31:56.280 --> 0:31:59.480
<v Speaker 1>big research project. Our pleasure. It was a lot of fun.

0:32:07.840 --> 0:32:09.880
<v Speaker 1>What goes up will be back next week and so

0:32:10.000 --> 0:32:12.280
<v Speaker 1>then you can find us on the Bloomberg Terminal website

0:32:12.320 --> 0:32:15.680
<v Speaker 1>and app, or wherever you get your podcast. We love

0:32:15.720 --> 0:32:17.480
<v Speaker 1>it if you took the time to rate and review

0:32:17.560 --> 0:32:20.600
<v Speaker 1>the show on Apple Podcasts, so more listeners can find us.

0:32:21.200 --> 0:32:24.200
<v Speaker 1>And you can find us on Twitter follow me at Reaganonymous.

0:32:24.880 --> 0:32:28.560
<v Speaker 1>Bildanna Hira is at Coldanna Hira. You can also follow

0:32:28.600 --> 0:32:33.160
<v Speaker 1>Bloomberg Podcasts at podcast What Goes Up is produced by

0:32:33.240 --> 0:32:36.000
<v Speaker 1>Stacy Wan. Thanks for listening, See you next time.