WEBVTT - Now There Are ETFs Making Money While You Sleep

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<v Speaker 1>Welcome on Trillions. I'm Joel Webber and I'm Eric bel Tunis.

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<v Speaker 1>Eric new launch just happened very much, caught your attention

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<v Speaker 1>and you immediately we're like, we gotta get these guys

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<v Speaker 1>on Trillions to talk to him. What's the product. Yeah,

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<v Speaker 1>there's two launches a year, that's over one a day,

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<v Speaker 1>and I don't know, maybe five or six just catch

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<v Speaker 1>my attention big time over the course of the year.

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<v Speaker 1>This is one of them. Because just when you think

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<v Speaker 1>there's no white space left and etf, somebody comes around

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<v Speaker 1>with something that's pretty original and this is really interesting idea.

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<v Speaker 1>It's called night Shares, that's the name of the brand,

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<v Speaker 1>and it really tries to put into reality something that

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<v Speaker 1>we've been reading about over the past several years where

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<v Speaker 1>you see this article or study that that points out that, hey,

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<v Speaker 1>if you only hold the U S Stock market at night,

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<v Speaker 1>in other words, you buy at the clothes and you

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<v Speaker 1>sell it the open, so you hold it overnight and

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<v Speaker 1>you don't hold it during the day. You crush holding

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<v Speaker 1>it during the day. There's something about that. It's like

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<v Speaker 1>a phenomenon, but it's really never been tried in reality

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<v Speaker 1>because there are real world issues that have probably stopped

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<v Speaker 1>some people from trying it, Um. But here we have

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<v Speaker 1>an et f issuer or that's come out and said

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<v Speaker 1>we're going to try to do this, and they have

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<v Speaker 1>two launches that have our live which is the large

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<v Speaker 1>caps and then a small cap version. So they're trying

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<v Speaker 1>to capture what they call the night effect. Um. And

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<v Speaker 1>you know, we'll there, we'll go into, you know, some

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<v Speaker 1>of the hurdles and challenges, but it's gonna be a

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<v Speaker 1>fascinating experiment. Joining us on trillions is gonna be Max Cookman,

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<v Speaker 1>he's this chief investment officer, and Bruce Levine he's the

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<v Speaker 1>CEO this time on trillions, the night Effect Bruce, Max,

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<v Speaker 1>welcome to Trillion, Thanks so much for having us, nice

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<v Speaker 1>to be here. Can you explain the big idea here,

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<v Speaker 1>Bruce absolutely, Um. You know Eric touched on it. The

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<v Speaker 1>big idea is that there are some unusual differences between

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<v Speaker 1>what happens in the markets overnight and during the daytime session,

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<v Speaker 1>and the overnight session historically has shown far better returns

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<v Speaker 1>and it's far better behaved from volatility standpoint. So we

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<v Speaker 1>find the night session to be a really interesting, uh

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<v Speaker 1>place to play, and we brought ETF to market that

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<v Speaker 1>would for the first time separate these very unique and

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<v Speaker 1>differentiated return streams between the day and night and and max.

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<v Speaker 1>How do you actually set this up to work? Right?

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<v Speaker 1>Because it's as Eric mentioned in the in the beginning there,

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<v Speaker 1>it seems like, you know, very obvious idea, but like,

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<v Speaker 1>how do you actually bring this into practice? Yeah, and

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<v Speaker 1>this is actually one of the things that made me

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<v Speaker 1>think a bit of the myth of Prometheus, where we're

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<v Speaker 1>taking something that exists that was uncapturable for for a

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<v Speaker 1>common investor in bringing it down to them. Um, it

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<v Speaker 1>actually is is a little bit more complex, and it

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<v Speaker 1>requires uh some knowledge of derivatives, that requires understanding how

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<v Speaker 1>the futures market works, how total return swaps work. Because

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<v Speaker 1>we really want to create an efficient exposure tonight effect

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<v Speaker 1>where we really make it um something that considers the impact,

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<v Speaker 1>that considers tea costs and um. The way we're implementing

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<v Speaker 1>it right now is we're buying futures at the close

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<v Speaker 1>and selling them at the open, and as we scale,

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<v Speaker 1>we're able to really expand on that construction to continue

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<v Speaker 1>making it highly efficient. Okay, UM, I want to circle

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<v Speaker 1>back on you call tea cost transaction costs. That's been

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<v Speaker 1>a big worry or I guess something people who pointed

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<v Speaker 1>out when a table I just for one second, I

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<v Speaker 1>want to get back to the night effect, Bruce. And also,

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<v Speaker 1>can you explain why why would the stock market do

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<v Speaker 1>better at night than during the day. What factors are

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<v Speaker 1>contributing to that? And that's a really great question, and

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<v Speaker 1>it was so interesting to look at it. And the

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<v Speaker 1>first time you see this data, it's just stunning. Uh.

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<v Speaker 1>You know, there's been research done for a long time.

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<v Speaker 1>There's sort of three buckets of reasons. I call it.

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<v Speaker 1>One is just that there's news flow when the markets

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<v Speaker 1>are closed. So this could be earnings announcements, which although

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<v Speaker 1>not universally positive on balanced stocks trade up and then

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<v Speaker 1>M and A, which is generally extremely positive for the market.

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<v Speaker 1>So those all happen when the markets are closed, so

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<v Speaker 1>you have to be invested to catch them. The second

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<v Speaker 1>thing is just structural de risking that seems to happen

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<v Speaker 1>among institutions. And an example this would be an et

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<v Speaker 1>F market making firm. Their business is to play between

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<v Speaker 1>the bid and the ask all day long, but their

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<v Speaker 1>business is not to hold inventory overnight, so at the

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<v Speaker 1>end of the day, they kind of flatten out their

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<v Speaker 1>positions and then they kind of read buying the next morning.

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<v Speaker 1>And then the last one is also kind of there's

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<v Speaker 1>a bunch of complexities that you can avoid if you

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<v Speaker 1>just get out by the end of the day. So, um,

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<v Speaker 1>we found this pattern, uh of the night effect happens worldwide,

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<v Speaker 1>which is interesting. So there must be something going on,

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<v Speaker 1>you know, And it's I've seen people pitch their whole

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<v Speaker 1>investment strategy to investors, and what they pitch is we

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<v Speaker 1>get out so you can sleep at night. And and

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<v Speaker 1>it also almost leaves something on the table for those

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<v Speaker 1>that are you know, not so m scared by the

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<v Speaker 1>overnight session. Yeah, we we think that your money should

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<v Speaker 1>work while you sleep, not and not make you, you you know,

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<v Speaker 1>work harder during the day. Well, I mean, I guess

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<v Speaker 1>people who invest in bitcoin may differ from that because

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<v Speaker 1>on the weekend you can see them having to suffer

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<v Speaker 1>when all the stock people are like, I'm not I

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<v Speaker 1>have nothing to worry about on the weekend. But anyway,

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<v Speaker 1>but it's true, the market doesn't ever truly sleep. It's

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<v Speaker 1>just you only see the prices in action during those

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<v Speaker 1>whatever eight hours during the day. But it's still like

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<v Speaker 1>like a lot of times, they'll be news out of

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<v Speaker 1>UM over the weekend or before the market, and I'll

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<v Speaker 1>do G I, P O and Bloomberg which is UM

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<v Speaker 1>intra day pricing, and I'll tweet out, you know, pre

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<v Speaker 1>market trading the S and P s up two on

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<v Speaker 1>this news or whatever. Now, I will say sometimes it's

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<v Speaker 1>bad like such and such a down on this news.

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<v Speaker 1>And I guess, Bruce, I'll come back to you on

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<v Speaker 1>that question, which is that you know, take something like earnings. Okay, fine,

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<v Speaker 1>in a good market, earnings will be good and announced

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<v Speaker 1>after the clothes. But wouldn't that wouldn't there be the

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<v Speaker 1>reverse in like this kind of market where it's harder

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<v Speaker 1>to get let's say we hit a recession or whatever. Um,

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<v Speaker 1>you know, wouldn't that just be negative for the night effect? Yeah?

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<v Speaker 1>You know, it's interesting when you look at the numbers

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<v Speaker 1>yere to day in a in a really tough market

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<v Speaker 1>where there's been a lot of news. Um. The you know,

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<v Speaker 1>if you were buying a hold here today, you're down

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<v Speaker 1>far more than if you were just owning the night session.

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<v Speaker 1>So you can see you can sort of feel this

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<v Speaker 1>viscerally if you've been in the markets here to date

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<v Speaker 1>where you've had all these days where uh, the markets

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<v Speaker 1>open kind of either slightly up, kind of flattershed slightly

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<v Speaker 1>down and then just start picking up steam to the

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<v Speaker 1>cell side. And so um, we have not seen nearly

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<v Speaker 1>as much you know, damage coming in the night session

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<v Speaker 1>this year, so um. And and that's consistent with our

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<v Speaker 1>research which was you see far more left tail events

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<v Speaker 1>happening during the day, you know, statistically than you do

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<v Speaker 1>happening a night. Okay, So I'm really curious. You guys

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<v Speaker 1>have had to have done a ton of back testing

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<v Speaker 1>on this. Um, how is it held up like both

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<v Speaker 1>both recently while you know, markets have been incredibly turbulent

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<v Speaker 1>so far this year, but also more historically, it's it's

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<v Speaker 1>held up really well. I mean, I'll give you an

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<v Speaker 1>example of small caps so UM year to date, if

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<v Speaker 1>you just held say, you know, a small cap up index,

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<v Speaker 1>you'd be down about two If you just held the

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<v Speaker 1>night portion, you'd be down less than six percent. So

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<v Speaker 1>it's pretty substantial. And as we look at it historically, UM,

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<v Speaker 1>it's important to note that this effect does not always

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<v Speaker 1>work right And and by the way, I think if

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<v Speaker 1>anyone comes on the podcast and says, hey, we found something.

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<v Speaker 1>It's always gonna work. It's always going to generate you alpha.

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<v Speaker 1>I would hope there's a lot of skepticism in the room. Um,

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<v Speaker 1>but we do find that if we do like a

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<v Speaker 1>rolling one three five year analysis of sharp ratios or

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<v Speaker 1>um or returns, the night effect consistently does outperform the

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<v Speaker 1>day's session. And it's across a lot of different betas.

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<v Speaker 1>Um let me let me just let me just jump

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<v Speaker 1>in there real quick. Um, So you talk about this.

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<v Speaker 1>I remember looking at the Bespoke study, which was the

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<v Speaker 1>one I think that the papers covered, the media covered

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<v Speaker 1>like a year ago. Bloomberg had an article on it. Anyway,

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<v Speaker 1>it shows that the night returns something like six and

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<v Speaker 1>the day was like flat or down. Even so, a

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<v Speaker 1>very cool chart. One line goes up big, one line

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<v Speaker 1>is flat. However, if you just held the S and

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<v Speaker 1>P five and didn't do just held at the whole time,

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<v Speaker 1>you were up. So I guess what would you say

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<v Speaker 1>to somebody who's like, well, what I'm not going to

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<v Speaker 1>just hold during the day, I'm gonna hold day and night.

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<v Speaker 1>Isn't that just easier? I would say, it's it's it's

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<v Speaker 1>a story of risk and return, right, and I think

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<v Speaker 1>especially in this environment where investors are looking for ways

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<v Speaker 1>to well create a more divorce PI portfolio, create a

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<v Speaker 1>more stable portfolio, it's really important to consider the denominator

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<v Speaker 1>of what should be really any acid allocation equation, which

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<v Speaker 1>is your standard deviation. And it's true about with large caps.

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<v Speaker 1>You do see a positive day effect. And yes, you

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<v Speaker 1>will earn more money if you hold twenty four hours

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<v Speaker 1>over most periods, but you will do so at the

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<v Speaker 1>expense of a disproportionately higher risk. Yeah. So I would

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<v Speaker 1>just add to that that potentially, Eric, you can expand

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<v Speaker 1>your equity exposure if you're playing in the lower risk

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<v Speaker 1>portion of them. You know of the equity market, and

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<v Speaker 1>that's what the night session is. So that's one thing.

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<v Speaker 1>And then the other thing I'll add is um that

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<v Speaker 1>chart you referenced was a was a large cap, but

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<v Speaker 1>what we found in small caps was really surprising, which

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<v Speaker 1>was that the day portion of the Russell too over

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<v Speaker 1>time was negative. So they're holding the night only actually

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<v Speaker 1>outperformed not only on the risk side, but on the

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<v Speaker 1>performance side. So I'm curious anything that ever seems this

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<v Speaker 1>good to be true feels like, just like, why hasn't

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<v Speaker 1>somebody else figured this out or figured out a way

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<v Speaker 1>it are this? And specifically I'm just thinking of hedge

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<v Speaker 1>funds who have you know, teams of analysts specifically trying

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<v Speaker 1>to find things like this that are just sitting in

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<v Speaker 1>in plain side, even if that plain side as the

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<v Speaker 1>lights off. But why, you know, why hasn't this been

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<v Speaker 1>exploited yet and what risks does that maybe create? Yeah,

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<v Speaker 1>so we know there's some hedge funds doing this trade

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<v Speaker 1>and you know there are people playing at it. UM

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<v Speaker 1>asked for why it's never been packaged as an E

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<v Speaker 1>t F M. I don't know, other than you know,

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<v Speaker 1>I've spent like twenty years doing E t F product

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<v Speaker 1>launches that I've never seen the research. In the minute

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<v Speaker 1>I saw it, I said, wow, this is really interesting. Um,

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<v Speaker 1>in terms of the risks. Uh, really, I think mind,

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<v Speaker 1>your question is if it works as it get arped away,

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<v Speaker 1>And that's a really fascinating question and I hope we

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<v Speaker 1>find out, UM. But the question is at what level right,

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<v Speaker 1>and even how structural it is and how the research

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<v Speaker 1>has been out there for a while and the phenomenon

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<v Speaker 1>persists are sensitive takes it would take quite a lot

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<v Speaker 1>of capital to r to trage it away if if

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<v Speaker 1>that's even going to occur. I mean, for me, there

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<v Speaker 1>there's no question that hedge funds are doing it. We

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<v Speaker 1>we have a sister company that that is a hedge fund,

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<v Speaker 1>which is actually where of this effect was discovered UM

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<v Speaker 1>and this is one of our strongest um effects that

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<v Speaker 1>we do capture there. And we just see that a

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<v Speaker 1>lot of structural things, whether it's earnings, economics, announcement, et cetera,

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<v Speaker 1>they do occur when cash markets are closed. You see,

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<v Speaker 1>investor makeup is very different between who trades in equities

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<v Speaker 1>when US markets are closed in terms of European institutions

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<v Speaker 1>and Asian institutions, and so those are the things that

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<v Speaker 1>are really key versus if I say, hey, I found

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<v Speaker 1>this really cool skew and options and I'm going to

0:12:55.760 --> 0:12:58.360
<v Speaker 1>trade on it. Well, yeah, once you start doing that

0:12:58.400 --> 0:13:02.160
<v Speaker 1>in size, everyone else starts reverse engineering it and you

0:13:02.200 --> 0:13:05.319
<v Speaker 1>see about alpha fade UM. We think the structural reasons

0:13:05.480 --> 0:13:10.720
<v Speaker 1>is why this effect can be significantly more persistent. So

0:13:10.880 --> 0:13:13.800
<v Speaker 1>right now you've you've got US focused products. But at

0:13:13.800 --> 0:13:16.200
<v Speaker 1>the beginning you mentioned that you've noticed this night effect

0:13:16.240 --> 0:13:21.920
<v Speaker 1>actually has global potential, right, so I'm wondering, you know, what,

0:13:21.920 --> 0:13:26.160
<v Speaker 1>what kind of global ideas are you kind of eyeing here,

0:13:26.160 --> 0:13:32.320
<v Speaker 1>and what what challenges withoud that product potentially create. So

0:13:32.360 --> 0:13:36.000
<v Speaker 1>we have a pretty long product development queue because it

0:13:36.120 --> 0:13:39.360
<v Speaker 1>when you start to really dig into this night effect,

0:13:39.400 --> 0:13:41.959
<v Speaker 1>there's lots of different ways to work with it, and

0:13:42.040 --> 0:13:44.000
<v Speaker 1>so we would expect at some point to have products

0:13:44.000 --> 0:13:48.880
<v Speaker 1>that offer us investors, um perhaps the chance to be

0:13:49.000 --> 0:13:52.000
<v Speaker 1>in different segments of the market at different times over

0:13:52.080 --> 0:13:54.920
<v Speaker 1>the twenty four hour cycle, so that we're sort of

0:13:54.960 --> 0:14:00.320
<v Speaker 1>capturing the right effect differently as time persists. Uh, so

0:14:00.880 --> 0:14:05.079
<v Speaker 1>you know, stay tuned for that. Um, Okay, we gotta

0:14:05.200 --> 0:14:08.400
<v Speaker 1>here's the big challenge. So I've seen people right about

0:14:08.400 --> 0:14:11.120
<v Speaker 1>this the replies on Twitter, and this is part of

0:14:11.160 --> 0:14:15.520
<v Speaker 1>what the factor world sometimes bumps up against, especially momentum,

0:14:15.640 --> 0:14:18.160
<v Speaker 1>is the fact that you have to trade a lot

0:14:18.240 --> 0:14:20.560
<v Speaker 1>to keep up with this. So I'm just gonna do

0:14:20.680 --> 0:14:24.520
<v Speaker 1>quick math correct if I'm wrong. Let's say I know

0:14:24.600 --> 0:14:27.160
<v Speaker 1>you're using futures, but let's say you held spy during

0:14:27.160 --> 0:14:31.000
<v Speaker 1>the night only to one basis point a bit as spread.

0:14:31.280 --> 0:14:33.360
<v Speaker 1>So if you add up two hundred days of doing that,

0:14:33.400 --> 0:14:37.520
<v Speaker 1>what is that three four hundred basis points of trading costs.

0:14:37.520 --> 0:14:40.400
<v Speaker 1>That's four So that's like a hurdle to get over.

0:14:41.040 --> 0:14:43.640
<v Speaker 1>And because it's ongoing, it's like a constant corrosion to

0:14:43.760 --> 0:14:46.880
<v Speaker 1>the returns and that has been I think one of

0:14:46.920 --> 0:14:51.240
<v Speaker 1>the biggest um pushbacks on this strategy is that it

0:14:51.320 --> 0:14:53.840
<v Speaker 1>can't be done in the wild because transaction costs would

0:14:53.840 --> 0:14:56.920
<v Speaker 1>eat you alive. So what's your plan for that? Yeah,

0:14:56.960 --> 0:15:01.680
<v Speaker 1>that's absolutely um probably the and the strategy hasn't been

0:15:01.720 --> 0:15:04.280
<v Speaker 1>tried before. So look, our goal is to give you

0:15:04.320 --> 0:15:10.920
<v Speaker 1>the greatest institutional execution quality we can and to do it,

0:15:11.720 --> 0:15:14.000
<v Speaker 1>you know, across we're looking across a number of different

0:15:14.080 --> 0:15:16.840
<v Speaker 1>vehicles to do it. We're starting out with futures and

0:15:16.880 --> 0:15:21.000
<v Speaker 1>you know what we see internally is that we think

0:15:21.000 --> 0:15:24.360
<v Speaker 1>we can trade you know, somewhere between a half a

0:15:24.360 --> 0:15:27.320
<v Speaker 1>basis point and a basis point per day. Okay, so

0:15:27.360 --> 0:15:30.720
<v Speaker 1>if you analyze that over two days, you know that's

0:15:32.600 --> 0:15:37.200
<v Speaker 1>basis points. And then we have cash collateral that backs

0:15:37.240 --> 0:15:40.760
<v Speaker 1>up the futures contracts that's going to sit in treasuries

0:15:40.800 --> 0:15:44.040
<v Speaker 1>and cash, and now that rates have popped up a

0:15:44.080 --> 0:15:45.600
<v Speaker 1>little bit, you know, we may be able to get

0:15:46.240 --> 0:15:49.240
<v Speaker 1>a large percentage of that offset from the cash collatoral.

0:15:50.560 --> 0:15:54.000
<v Speaker 1>Now let's explain this again, uh like the local third

0:15:54.000 --> 0:15:59.400
<v Speaker 1>grade style UM, because when you use futures, right, you

0:15:59.400 --> 0:16:02.400
<v Speaker 1>you you buy a little bit, but you get a lot.

0:16:02.440 --> 0:16:04.800
<v Speaker 1>So just explain the sort of dynamics of how you

0:16:04.800 --> 0:16:07.480
<v Speaker 1>can hold treasuries because when someone pulls this up, I

0:16:07.480 --> 0:16:09.720
<v Speaker 1>guess eventually they're going to see a bunch of treasuries

0:16:09.760 --> 0:16:12.200
<v Speaker 1>in here, right, They're not going to see the S

0:16:12.280 --> 0:16:14.560
<v Speaker 1>and P five hunter or anything like that. So just

0:16:14.680 --> 0:16:18.560
<v Speaker 1>explain how the future's exposure to treasuries works. And that's

0:16:18.560 --> 0:16:21.960
<v Speaker 1>a good question. So you know, futures are contracts, right,

0:16:22.000 --> 0:16:24.480
<v Speaker 1>so so it may just show up as we have

0:16:25.280 --> 0:16:30.760
<v Speaker 1>notional exposure. But but features don't have value themselves until

0:16:30.880 --> 0:16:34.360
<v Speaker 1>you you know, mark them from where you bought them

0:16:34.360 --> 0:16:36.880
<v Speaker 1>to where you sold them. So the holdings of the

0:16:36.880 --> 0:16:40.120
<v Speaker 1>fund will show up as treasuries, which we're gonna hold seven.

0:16:40.680 --> 0:16:45.120
<v Speaker 1>And it's the fact that we can you know, features

0:16:45.680 --> 0:16:49.640
<v Speaker 1>really provide some leverage in the sense of um, we

0:16:49.760 --> 0:16:53.960
<v Speaker 1>can uh sitting as treasuries, and they back the futures

0:16:54.200 --> 0:16:58.560
<v Speaker 1>contracts and allow us to hold larger amounts of futures.

0:16:58.560 --> 0:17:02.520
<v Speaker 1>So it's because of that that we're able to get

0:17:02.560 --> 0:17:07.240
<v Speaker 1>you know, sort of this cash collateral return source in

0:17:07.280 --> 0:17:11.119
<v Speaker 1>addition to staying invested in the equity market. And and

0:17:11.240 --> 0:17:14.440
<v Speaker 1>right now, the treasuries, I'm assuming you'll hold short term

0:17:14.440 --> 0:17:19.680
<v Speaker 1>debt right like two year or something like that. Yeah,

0:17:19.680 --> 0:17:24.000
<v Speaker 1>well we'll we'll we'll hold um fairly low duration treasuries.

0:17:24.119 --> 0:17:29.600
<v Speaker 1>We you know, will be smart about that. And certainly, UM,

0:17:29.640 --> 0:17:34.000
<v Speaker 1>you know, having run a pretty large derivative book, very

0:17:34.000 --> 0:17:36.760
<v Speaker 1>comfortable with saying that there's a right and a wrong

0:17:36.840 --> 0:17:40.119
<v Speaker 1>way due to collateral management, UM, and specially something like this,

0:17:40.200 --> 0:17:43.480
<v Speaker 1>we want to be safe. The goal is to offset

0:17:43.880 --> 0:17:48.040
<v Speaker 1>the tea costs and UM, I think at the current

0:17:48.400 --> 0:17:50.719
<v Speaker 1>you know, UM rate environment, we can do that with

0:17:51.040 --> 0:17:54.600
<v Speaker 1>very low duration. Did you file these after the FED

0:17:55.040 --> 0:17:58.080
<v Speaker 1>changed its mission from like keeping rates low to like

0:17:58.119 --> 0:18:01.720
<v Speaker 1>fighting inflation, because clearly that was a a good It's

0:18:01.840 --> 0:18:06.280
<v Speaker 1>arguably good timing in that you were looking for something

0:18:06.280 --> 0:18:10.080
<v Speaker 1>to offset this transaction cost. But did that play into

0:18:10.200 --> 0:18:12.920
<v Speaker 1>your filing filed in March? So I'm not exactly sure

0:18:12.920 --> 0:18:16.960
<v Speaker 1>when they changed. And and look, we were focused on

0:18:17.000 --> 0:18:19.600
<v Speaker 1>bringing this to market and and we were looking at

0:18:19.640 --> 0:18:23.840
<v Speaker 1>lots of different ways to run the fund, and I

0:18:23.880 --> 0:18:26.720
<v Speaker 1>think the fact that rates have popped up and has

0:18:27.200 --> 0:18:30.040
<v Speaker 1>maybe made us lean towards this particular way of running

0:18:30.040 --> 0:18:35.760
<v Speaker 1>the fund. Okay, well, I'm curious, Bruce, you have a

0:18:35.800 --> 0:18:39.119
<v Speaker 1>really interesting backstory. You've you've been in the e t

0:18:39.280 --> 0:18:43.040
<v Speaker 1>F world for a really long time. Um at I shares,

0:18:43.600 --> 0:18:47.200
<v Speaker 1>you help launch l qt h y G. These are

0:18:47.800 --> 0:18:52.040
<v Speaker 1>incredibly um successful bond ETFs. I'm just wondering, you know,

0:18:52.119 --> 0:18:53.720
<v Speaker 1>like all of this, like what have you what have

0:18:53.760 --> 0:18:56.120
<v Speaker 1>you learned from your experience in the industry that you're

0:18:56.119 --> 0:18:59.240
<v Speaker 1>going to be applying here. It has been an interesting, right,

0:18:59.280 --> 0:19:01.520
<v Speaker 1>you know, because I've seen different kinds of products, right,

0:19:01.640 --> 0:19:03.960
<v Speaker 1>some of them. In the early days of I shares,

0:19:04.040 --> 0:19:06.320
<v Speaker 1>it was just an educational thing. We were new with

0:19:06.400 --> 0:19:08.920
<v Speaker 1>this new fangled thing called an e t F and

0:19:08.960 --> 0:19:10.840
<v Speaker 1>once you've got people over the hump of understanding it,

0:19:10.880 --> 0:19:14.960
<v Speaker 1>they really put in. With wisdom Tree, we were new

0:19:15.000 --> 0:19:18.840
<v Speaker 1>with a different way to index, you know. Prior to

0:19:18.840 --> 0:19:21.600
<v Speaker 1>wisdom Tree and ETF, theres just beta and now they're

0:19:21.640 --> 0:19:24.439
<v Speaker 1>smart data, right, And wisdom Tree was a pioneer and

0:19:24.480 --> 0:19:26.560
<v Speaker 1>saying hey, there's a better way to create an index

0:19:27.480 --> 0:19:31.720
<v Speaker 1>and and it was an educational challenge, but now well

0:19:31.760 --> 0:19:34.080
<v Speaker 1>accepted that there's more than one way to index, and

0:19:34.119 --> 0:19:37.280
<v Speaker 1>we see what we're doing with night Shares is similar

0:19:37.280 --> 0:19:40.840
<v Speaker 1>to that in the sense of there is this sort

0:19:40.880 --> 0:19:44.639
<v Speaker 1>of thin slice of the market that is aware of

0:19:44.640 --> 0:19:47.000
<v Speaker 1>this research and a very large slice of the market

0:19:47.040 --> 0:19:50.000
<v Speaker 1>that's not so. First it's just educated and make aware

0:19:50.560 --> 0:19:54.320
<v Speaker 1>that it's out there. Uh. And then you know, people

0:19:54.320 --> 0:19:56.639
<v Speaker 1>will watch it and some will toe dip and some

0:19:56.720 --> 0:20:01.320
<v Speaker 1>will you know, wait for proof. And but we think

0:20:01.320 --> 0:20:06.639
<v Speaker 1>over time, you know, we've added a really interesting um

0:20:06.840 --> 0:20:09.919
<v Speaker 1>dynamic to the market. Uh. And I appreciate what Eric

0:20:09.960 --> 0:20:11.520
<v Speaker 1>said right at the beginning. It's just not that many

0:20:11.600 --> 0:20:16.160
<v Speaker 1>things that you know are truly differentiate in the market space.

0:20:22.840 --> 0:20:25.159
<v Speaker 1>I want to pitch Max on a product idea I have.

0:20:25.200 --> 0:20:26.480
<v Speaker 1>I think you guys would be the right ones to

0:20:26.560 --> 0:20:29.760
<v Speaker 1>launch it. We had a Shark Tank type episode about

0:20:29.800 --> 0:20:32.440
<v Speaker 1>two years ago where a bunch of reporters and analysts

0:20:32.440 --> 0:20:35.760
<v Speaker 1>pitched e T F ideas to a judge and mine,

0:20:36.240 --> 0:20:38.400
<v Speaker 1>I believe mine one, or it came in second or something,

0:20:38.440 --> 0:20:41.280
<v Speaker 1>but it was called X bond. It was just forgets

0:20:41.359 --> 0:20:44.200
<v Speaker 1>because it's just in his mind it was the greatest

0:20:44.200 --> 0:20:46.879
<v Speaker 1>pitch of all time, but yeah, you gotta see it

0:20:46.920 --> 0:20:50.880
<v Speaker 1>a little bit more Jamaican x mon Um, I wont,

0:20:50.920 --> 0:20:53.439
<v Speaker 1>at least in my mind. Um. And basically this is

0:20:53.440 --> 0:20:57.000
<v Speaker 1>the S and P five hundred x Mondays because you

0:20:57.040 --> 0:21:00.439
<v Speaker 1>know how like everybody freaks out over the weekend if

0:21:00.440 --> 0:21:03.720
<v Speaker 1>there's bad news Friday, and like you've black Monday seven,

0:21:03.840 --> 0:21:05.600
<v Speaker 1>then there was a black Monday too. Just seems like

0:21:05.640 --> 0:21:08.800
<v Speaker 1>Mondays are brutal days and they've done studies that Monday

0:21:08.920 --> 0:21:12.280
<v Speaker 1>does on average return a little less than the rest

0:21:12.320 --> 0:21:14.399
<v Speaker 1>of the week. What do you think of that idea?

0:21:14.480 --> 0:21:16.760
<v Speaker 1>And have you ever thought about actually explaining this out

0:21:16.760 --> 0:21:19.520
<v Speaker 1>of just the night but into other times, like just

0:21:19.560 --> 0:21:23.320
<v Speaker 1>making time your thing? Well, well, I definitely think that

0:21:23.359 --> 0:21:26.480
<v Speaker 1>in the t F game, having a good ticker is important,

0:21:26.480 --> 0:21:28.679
<v Speaker 1>so so Eric, if nothing else, you've definitely nailed that.

0:21:29.680 --> 0:21:33.760
<v Speaker 1>And that was a polite letdown. I think, Max, no, no no, no, no,

0:21:34.680 --> 0:21:37.320
<v Speaker 1>I mean, I I do think there's you know, if

0:21:37.320 --> 0:21:42.240
<v Speaker 1>you look at time overall, um and seasonality and you

0:21:42.280 --> 0:21:46.200
<v Speaker 1>know all of that, there there's more ground to cover there.

0:21:46.240 --> 0:21:50.080
<v Speaker 1>I think for us, um we're pretty focused on on

0:21:50.119 --> 0:21:52.560
<v Speaker 1>the night. We think there's a whole lot to do

0:21:52.640 --> 0:21:56.439
<v Speaker 1>in the nighttime before we start looking at other things.

0:21:56.480 --> 0:22:03.240
<v Speaker 1>But you know, certainly, um, the x mon is a

0:22:03.359 --> 0:22:06.320
<v Speaker 1>concept that that has some some grounding in reality. If

0:22:06.320 --> 0:22:08.760
<v Speaker 1>you do look at the Monday fact, you know, Monday

0:22:08.800 --> 0:22:12.439
<v Speaker 1>scaries are real. Yeah, no one likes Mondays. It's like

0:22:12.440 --> 0:22:16.239
<v Speaker 1>it also hits the heart. Now I hate Mondays. This

0:22:16.320 --> 0:22:19.560
<v Speaker 1>lines up with my values. Eric. The other key thing

0:22:19.960 --> 0:22:22.040
<v Speaker 1>is every ETF needs to have a good spokesman, So

0:22:22.040 --> 0:22:25.560
<v Speaker 1>you've got to get Garfield to be your spokesman. Or

0:22:25.560 --> 0:22:28.119
<v Speaker 1>that moment from office Space, somebody's been a case of

0:22:28.160 --> 0:22:31.640
<v Speaker 1>the Monday's. Yeah, yeah, I don't know. I think there's

0:22:31.640 --> 0:22:33.880
<v Speaker 1>something there. We'll see. Maybe if you guys have success,

0:22:33.920 --> 0:22:36.680
<v Speaker 1>you can branch out into other parts of the calendar.

0:22:36.720 --> 0:22:39.119
<v Speaker 1>You could also do a sell in may E t

0:22:39.320 --> 0:22:41.800
<v Speaker 1>F and just have one that just just doesn't hold

0:22:41.840 --> 0:22:44.320
<v Speaker 1>the stocks during the summer, although that's that's been proven

0:22:44.320 --> 0:22:47.560
<v Speaker 1>to be pretty much a lie. But anyway, there's definitely

0:22:47.600 --> 0:22:50.159
<v Speaker 1>some some some options here. I think in fact that

0:22:50.240 --> 0:22:52.080
<v Speaker 1>the name of the company that I thought of was

0:22:52.160 --> 0:22:55.200
<v Speaker 1>Calendar Shares. You guys are like you're the closest thing

0:22:55.240 --> 0:22:58.720
<v Speaker 1>to that sort of tongue in cheek idea. UM. So again,

0:22:58.760 --> 0:23:00.040
<v Speaker 1>that's part of the reason I was so interesting to

0:23:00.640 --> 0:23:03.560
<v Speaker 1>talk to you guys, because time hasn't really been sliced

0:23:03.640 --> 0:23:08.520
<v Speaker 1>up the way sectors have and countries and geographic regions, etcetera. Alright,

0:23:08.640 --> 0:23:15.399
<v Speaker 1>enough for America. Uh. Speaking of speaking of tickers, uh

0:23:15.440 --> 0:23:19.720
<v Speaker 1>in spy in i w M. Both of these are great.

0:23:19.760 --> 0:23:22.880
<v Speaker 1>You got the inn at the front. Um. We always

0:23:23.119 --> 0:23:27.600
<v Speaker 1>end with a ticker question. Um, Max, what is your

0:23:27.640 --> 0:23:30.400
<v Speaker 1>favorite E t F ticker that is not your own?

0:23:30.400 --> 0:23:34.240
<v Speaker 1>And Bruce will come to you next man. Um, I

0:23:34.600 --> 0:23:37.159
<v Speaker 1>have to say, SARK is my favorite ticker that's not

0:23:37.200 --> 0:23:41.240
<v Speaker 1>our own. That's good. That's the first one we've had.

0:23:41.760 --> 0:23:45.240
<v Speaker 1>That's the first. Bruce, Well, I'm a little partial because

0:23:45.240 --> 0:23:47.399
<v Speaker 1>I've been working with John Davy over story for a

0:23:47.440 --> 0:23:50.359
<v Speaker 1>long time and we love pp I uh the first

0:23:50.400 --> 0:23:55.080
<v Speaker 1>inflation Global inflation protected ETFUM, you know that that's a

0:23:55.119 --> 0:24:00.200
<v Speaker 1>great ticker. That is a good one. All right, Max Rus,

0:24:00.240 --> 0:24:03.240
<v Speaker 1>thanks so much for joining us on Trillians. Thanks thanks

0:24:03.240 --> 0:24:12.640
<v Speaker 1>for having us, Thanks for listening to trillions. Until next time,

0:24:12.680 --> 0:24:15.440
<v Speaker 1>you can find us on the Bloomberg Terminal, Bloomberg dot com,

0:24:15.560 --> 0:24:19.119
<v Speaker 1>Apple Podcast Spotify, and wherever else you'd like to listen.

0:24:19.720 --> 0:24:21.920
<v Speaker 1>We'd love to hear from you. We're on Twitter, I'm

0:24:22.000 --> 0:24:25.560
<v Speaker 1>at Joel Weber Show. He's at Eric Baltunas. This episode

0:24:25.560 --> 0:24:28.840
<v Speaker 1>of Trilliance was produced by Magnus Hendrickson. Francesca Levie is

0:24:28.840 --> 0:24:43.760
<v Speaker 1>the head of Bloomberg Podcast. Bye.