WEBVTT - Calm Knuckles: SEC, ETF, SPOT

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to The Money Stuff Podcast, your weekly

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<v Speaker 2>podcast where we talk about stuff related to money. I'm

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<v Speaker 2>Matt Levine and I write the Money Stuff column for

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<v Speaker 2>Bloomberg Opinion.

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<v Speaker 1>And I'm Katie Greifeld, a reporter for Bloomberg News and

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<v Speaker 1>an anchor for Bloomberg Television.

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<v Speaker 2>What do we got today, Kitty?

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<v Speaker 1>We're going to talk about SEC raids and how to

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<v Speaker 1>trade them. We're going to talk about private credit ETFs,

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<v Speaker 1>question mark, and we're going to talk about Spotify arbitrage.

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<v Speaker 2>Yes, excellent, sec raids.

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<v Speaker 1>I'm a little bit surprised. Were your SEC jacket?

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<v Speaker 2>I know I should have. I wrote about this, like

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<v Speaker 2>amazing paper about what happens on the SEC visits a company,

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<v Speaker 2>and I mentioned that I own an SEC raid jacket

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<v Speaker 2>that I joke about wearing but never wear.

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<v Speaker 1>And you didn't even bring.

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<v Speaker 2>It in, did you know? I read about this and

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<v Speaker 2>then reader emailed to say that an sec red jacket

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<v Speaker 2>was his Halloween costume. That's funny, but he didn't have one,

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<v Speaker 2>and he didn't actually know that they even existed, so

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<v Speaker 2>he just like got a blue windpricker and like got

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<v Speaker 2>yellow tape and put SEC on the back and wore

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<v Speaker 2>it to like Halloween parties with the finance pro friends,

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<v Speaker 2>to be scary. Yeah, that was a really good idea.

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<v Speaker 2>I have a real one.

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<v Speaker 1>It'd be kind of funny if he paired that with

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<v Speaker 1>just fangs. That's it's the whole costume. That's cool. Well,

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<v Speaker 1>if you used the fact that you own an SEC

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<v Speaker 1>jacket is like a cute little setup to talk about.

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<v Speaker 1>Maybe a tradable signal. Maybe not that amazing paper. Watching

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<v Speaker 1>the Watchdogs, yes.

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<v Speaker 2>Watching the watch dogs tracking SEC increase using geolocation data.

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<v Speaker 2>What they find is that when the SEC visits a

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<v Speaker 2>public company, that probably means there's something bad, right, and

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<v Speaker 2>so it's a negative signal.

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<v Speaker 1>It's not just a chat, like just a coffee meeting.

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<v Speaker 2>In aggregate, statistically it's a bad sign And so like

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<v Speaker 2>you get Adnorrambal returns of like negative one point four

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<v Speaker 2>to one point nine percent over the three months after

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<v Speaker 2>the SEC visit, whether or not there's a subsequent announcement

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<v Speaker 2>of an SEC investigation, even if they just do an

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<v Speaker 2>informal visit, there's some negative signal there. They also have

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<v Speaker 2>some really fun findings about the insider trading around. Yeah,

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<v Speaker 2>usually the sea of a company and the SEC comes

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<v Speaker 2>and visits. Should you sell the stock because that's bad

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<v Speaker 2>news or should you not sell the stock because that's

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<v Speaker 2>insider trading? Yeah, the answer is most people. There seems

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<v Speaker 2>to be a chilling effect where people tend not to sell,

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<v Speaker 2>but like when it's really bad news, they do sell.

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<v Speaker 1>Well, I have to say so. The stat that you

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<v Speaker 1>highlighted was that insiders are sixteen percent less likely to

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<v Speaker 1>sell into two weeks surrounding an SEC visit relative to

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<v Speaker 1>periods with no visits. I'm kind of surprised it wasn't

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<v Speaker 1>like eighty five percent or ninety percent. I feel like

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<v Speaker 1>if the SEC was knocking on the door, maybe I

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<v Speaker 1>would just sit tight for a moment, right.

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<v Speaker 2>Because like, arguably that's material news, and if you're still selling,

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<v Speaker 2>it does seem risky. But you know it's not that

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<v Speaker 2>because like maybe they're coming to chat, right, like you don't.

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<v Speaker 1>Know, Ye, well, maybe it's that pension for risk that

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<v Speaker 1>got you from the SEC in the first place.

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<v Speaker 2>Right, The causation can go their way, right, You're you're

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<v Speaker 2>the person who's you know, they're visiting you about your

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<v Speaker 2>insider training. Keep insider trading. Yeah, so that is interesting,

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<v Speaker 2>but it's not as interesting as the methodology of the paper,

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<v Speaker 2>which is like amazing. It's basically like, your phone has

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<v Speaker 2>two hundred as on it, and like one hundred of

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<v Speaker 2>them track your location, and ninety nine of all times,

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<v Speaker 2>at all times, and ninety nine of those sell your

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<v Speaker 2>location to a data vendor that then sells it to

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<v Speaker 2>hedge funds. Right, that's what your phone is.

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<v Speaker 1>That's all right, that's why I never turn off my location.

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<v Speaker 1>I want the hedge funds to have that data.

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<v Speaker 2>And the hedge funds appreciate that. Yeah, and they use

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<v Speaker 2>it as far as I can tell, mostly to figure

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<v Speaker 2>out what stores are getting a lot of foot traffic. Yeah,

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<v Speaker 2>that's the main U said. This sort of thing is like, oh,

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<v Speaker 2>there's a lot of foot traffic to this retailer, so

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<v Speaker 2>we should buy that retailer.

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<v Speaker 1>Not just like Katie want to just salad today and

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<v Speaker 1>usually she goes to Sweet Green.

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<v Speaker 2>You know, my understanding is that this data is pretty anonymized.

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<v Speaker 2>They don't have like Katie's data. They have like you know,

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<v Speaker 2>how many people went to Sweet Green. But if you

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<v Speaker 2>get all the data, you can like kind of recreate

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<v Speaker 2>who's Katie. Right. You can look at the phone that

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<v Speaker 2>is at the Bloomberg headquarters a lot and at the

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<v Speaker 2>horse Barn a lot. Yeah, I'm pretty sure this is Katy.

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<v Speaker 1>It never goes downtown, right.

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<v Speaker 2>And so what the authors here did is they got

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<v Speaker 2>all the cell phone data and they figured out which

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<v Speaker 2>phones belonged to SEC employees by looking at like which

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<v Speaker 2>phones were like mostly in SEC offices. And if your

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<v Speaker 2>phone is mostly in SC office, you're an SECM player.

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<v Speaker 2>And then if it goes to a corporate headquarters, then

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<v Speaker 2>the SEC was visiting that company.

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<v Speaker 1>Well, let's just read this. You put it in the column.

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<v Speaker 1>But for listeners who haven't read the newsletter, a smartphone

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<v Speaker 1>is assumed to belong to an SEC employee if it

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<v Speaker 1>is quote paying for at least twenty unique workday hours

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<v Speaker 1>within one SEC location during the month, and the accumulated

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<v Speaker 1>time in the SEC building is greater than in any

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<v Speaker 1>other buildings in the respective month. I do like to

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<v Speaker 1>imagine though, that they're tracking janitors.

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<v Speaker 2>Maybe, but the point is that those genders are then

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<v Speaker 2>also visiting.

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<v Speaker 1>Maybe they're freelancing. I don't know.

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<v Speaker 2>Okay, okay, but statistically it works out to be a

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<v Speaker 2>useful signal.

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<v Speaker 1>This is true.

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<v Speaker 2>So there's so much to say about this methodology. One

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<v Speaker 2>thing about it is I've talked a lot of my

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<v Speaker 2>column about how the SEC gets mad at banks for

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<v Speaker 2>letting their employees talk about business on their personal cell

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<v Speaker 2>phones and finds them hundreds of millions of dollars. This

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<v Speaker 2>is like SEC employees' personal cell phones providing tradable signals

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<v Speaker 2>too well to academics, right, And I think this is

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<v Speaker 2>very funny that the personal cell phone usage of the

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<v Speaker 2>SAC continues to be like a funny little mindfield an

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<v Speaker 2>agency that is finding banks for using personal cell phones.

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<v Speaker 1>I will note that it was a pretty short time period.

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<v Speaker 1>They were collecting data from January twenty nineteen to your

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<v Speaker 1>A twenty twenty, so you know, a little bit over

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<v Speaker 1>a year.

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<v Speaker 2>But still, Yeah, the paper came out like this year,

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<v Speaker 2>and the data is from four or five years ago,

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<v Speaker 2>so it's not tradable in the sense.

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<v Speaker 1>That you know, well, the data is.

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<v Speaker 2>If you had it in real time, and like these vendors,

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<v Speaker 2>they do sell the data in kind of real time.

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<v Speaker 2>So like my question was, can and do hedge funds

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<v Speaker 2>trade on this signal?

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<v Speaker 1>Yeah?

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<v Speaker 2>And I asked people the email if they did, and

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<v Speaker 2>no one said they did. My impression is that most

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<v Speaker 2>hedge funds do not try to get the data that

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<v Speaker 2>is like can we identify Katie? Or like can we

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<v Speaker 2>identify SEC employees? They get like how many people were

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<v Speaker 2>in the building? Right, Like they're getting you know, aggregated

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<v Speaker 2>data and not like trying to individual identify people. And

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<v Speaker 2>so this is probably not a signal that anyone actually

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<v Speaker 2>trades on. Also, it's not like so strong a signal.

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<v Speaker 2>You know, it's like one point nine percent of normally

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<v Speaker 2>turns over three months. That's like, yeah, it's.

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<v Speaker 1>Like, well, I was wondering why that would exist at

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<v Speaker 1>all if people weren't trading on it. You know, it's

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<v Speaker 1>like a chicken in the egg thing.

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<v Speaker 2>Why what the data?

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<v Speaker 1>No, Like, why you would get those abnormal returns? Like

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<v Speaker 1>why is an informal SEC visit bad? Necessarily? What was interesting,

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<v Speaker 1>if I understanding this correctly, is that you had that

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<v Speaker 1>abnormal performance even if no formal investigation was announced.

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<v Speaker 2>You could tell stories, right like they're aggressive with their accounting,

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<v Speaker 2>and the SEC says, knock it off, and they stop

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<v Speaker 2>being aggressive with their accounting, and their next you know,

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<v Speaker 2>earnings report is disappointing because they've stopped fudging them right

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<v Speaker 2>right right, you know stuff like that, or just like

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<v Speaker 2>they're a badly managed company, which is why the SEC

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<v Speaker 2>is visiting them, and that bad management ends up affecting

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<v Speaker 2>their performance. Yeah, but like I don't think people trade

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<v Speaker 2>on this, lagneal, but it is interesting because heedgehones. Do

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<v Speaker 2>you use self one location data and self on location

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<v Speaker 2>data is like controversial, right, people get mad. You know,

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<v Speaker 2>your phone now probably asks you like will you left

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<v Speaker 2>this app track you which you didn't like used to

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<v Speaker 2>do as much like now it's like Apple is trying

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<v Speaker 2>to provide apps from tracking you unless you want them to,

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<v Speaker 2>which you do for them.

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<v Speaker 1>I always say yes.

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<v Speaker 2>And you know, people have like periodic like privacy worries

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<v Speaker 2>about these things, And if you're a hedge fund, you're

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<v Speaker 2>putting a lot of effort into compliance. You're putting a

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<v Speaker 2>lot of effort into making sure that you're buying this

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<v Speaker 2>data from vendors who sort of ultimately have user permission

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<v Speaker 2>to track their location, and that it's anonymized in the

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<v Speaker 2>right way so that no one is going to later

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<v Speaker 2>accuse you of insider trading or of like violating people's

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<v Speaker 2>privacy or anything like that. And you know, you worry

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<v Speaker 2>about the regulatory environment changing and like getting harder to

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<v Speaker 2>use this sort of self in location data. And one

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<v Speaker 2>thing that might cause that to happen is the SEC

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<v Speaker 2>finding their personal phones being tracked to like create a

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<v Speaker 2>tradable signal. The SEC might get annoyed by that. They

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<v Speaker 2>might say, so we should cry down on these vendors.

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<v Speaker 1>Maybe don't build your whole business on the availability of

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<v Speaker 1>this data.

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<v Speaker 2>Yeah, but I think that this is a big source

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<v Speaker 2>of like alternative data for chants to actually trade on.

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<v Speaker 2>And now, obviously don't build your business on like SEC

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<v Speaker 2>self fund data, but nobody does. That's just going to

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<v Speaker 2>make paper. But the academic paper that draws awkward attention

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<v Speaker 2>to location.

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<v Speaker 1>Data, well, I was going to say, even if no

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<v Speaker 1>one has emailed you to say that they're trading on it,

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<v Speaker 1>there's an ETF for everything, Like some interesting indie little

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<v Speaker 1>issuer might be reading this.

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<v Speaker 2>People do try to trade on SEC investigations, people like

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<v Speaker 2>FOIA SEC investigations to sort of see what's being investigated

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<v Speaker 2>and use that as a signal. And this is like

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<v Speaker 2>a sort of much more real time, weaker but interesting signal.

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<v Speaker 1>It's just still Yeah.

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<v Speaker 2>I don't see people paying for this data.

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<v Speaker 1>I want to see it. How much does this state

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<v Speaker 1>of cost? We should do like the money stuff investigation

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<v Speaker 1>and try to trade on it. It sounds fun. It's

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<v Speaker 1>still out there. Moving on, moving on to ETFs that

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<v Speaker 1>don't exist but might one day. At least this one

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<v Speaker 1>has plans private credit ETF. So we were just talking

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<v Speaker 1>about this sort of in a thought experiment type of way.

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<v Speaker 1>How would this work?

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<v Speaker 2>That's real.

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<v Speaker 1>The big brains that Apollo have a plan, Apollo. Yeah,

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<v Speaker 1>I did, the big brains at Apollo. I'm screaming. The

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<v Speaker 1>big brains at Apollo have a plan.

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<v Speaker 2>We're keeping all better. Yeah, they have a plan. And

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<v Speaker 2>the plan is they're a teammate with State Street to

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<v Speaker 2>make an ETF that is like mostly public credit and

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<v Speaker 2>some private credit. I think, yeah, I understanding.

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<v Speaker 1>There's many interesting things about this. I find the partnership

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<v Speaker 1>interesting just from like an ETF industry perspective. It's public

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<v Speaker 1>and private credit. We had talked a bit about how

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<v Speaker 1>there was that fifteen percent limit on a liquid securities

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<v Speaker 1>Give me the mount Levine take, because you actually haven't

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<v Speaker 1>written about this yet.

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<v Speaker 2>I haven't this is a podcast exclusive. Okay, So you

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<v Speaker 2>mentioned the liquidity role, right, Like typical sec mutual funds,

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<v Speaker 2>including ETFs I have to have none more than fifteen

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<v Speaker 2>percent of their assets in I liquid securities, and private

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<v Speaker 2>credit is probably an ill liquid security, probably in the

0:11:08.880 --> 0:11:11.000
<v Speaker 2>sense that like you can't it doesn't. It's not like

0:11:11.040 --> 0:11:14.240
<v Speaker 2>a really you know, liquid trading market. I liquid means

0:11:14.240 --> 0:11:15.840
<v Speaker 2>something like we take you more than seven days to

0:11:15.840 --> 0:11:17.960
<v Speaker 2>sell it without affecting the market, and we just have

0:11:18.040 --> 0:11:19.719
<v Speaker 2>like an initial filing. And so I don't exactly know

0:11:19.760 --> 0:11:21.600
<v Speaker 2>what they're doing, but what they've done here is they've

0:11:21.640 --> 0:11:25.320
<v Speaker 2>said Apollo has a trading desk to trade private credit.

0:11:25.559 --> 0:11:27.320
<v Speaker 2>Just first of all, fascinating, like that's kind of a

0:11:27.320 --> 0:11:29.800
<v Speaker 2>new thing. But their trading desk is going to give

0:11:30.360 --> 0:11:36.240
<v Speaker 2>firm inter day bids to the ETF. So all the

0:11:36.320 --> 0:11:39.040
<v Speaker 2>private credit stuff that the ETF holds, which it presumably

0:11:39.080 --> 0:11:42.120
<v Speaker 2>bought from Apollo, apollow will buy it back and they

0:11:42.280 --> 0:11:44.120
<v Speaker 2>give you a bid to buy it back every day,

0:11:44.320 --> 0:11:45.800
<v Speaker 2>and the ATF can sell it every day. And I

0:11:45.840 --> 0:11:48.800
<v Speaker 2>think that the point of that is to satisfy the

0:11:48.840 --> 0:11:52.079
<v Speaker 2>liquidity requirement, because what they say is, you know, if

0:11:52.080 --> 0:11:55.000
<v Speaker 2>apollow will buy it back instantly. Then that makes it

0:11:55.040 --> 0:11:58.200
<v Speaker 2>liquid and so we can fulfill the ETF rules. I

0:11:58.200 --> 0:12:01.240
<v Speaker 2>think that works. It's a little cheap, it's a little weird.

0:12:01.520 --> 0:12:03.880
<v Speaker 1>Well, I have to say, I'm really interested to see.

0:12:04.080 --> 0:12:06.079
<v Speaker 1>First of all, we have to get at the launch.

0:12:06.280 --> 0:12:09.200
<v Speaker 1>Talking to people, it seems like there is confidence that

0:12:09.440 --> 0:12:12.440
<v Speaker 1>this will launch, but with any first of its kind

0:12:12.559 --> 0:12:15.400
<v Speaker 1>sort of fund, there's always questions over whether the sec

0:12:15.480 --> 0:12:17.960
<v Speaker 1>will green lighted. I am curious to see if it launches,

0:12:18.040 --> 0:12:20.640
<v Speaker 1>how much of it actually is private credit, because you

0:12:20.679 --> 0:12:22.920
<v Speaker 1>take a look at some of the details, at least

0:12:22.920 --> 0:12:26.319
<v Speaker 1>eighty percent of the fund's assets will be in investment

0:12:26.360 --> 0:12:30.000
<v Speaker 1>grade either public or private securities. As much as twenty

0:12:30.000 --> 0:12:32.280
<v Speaker 1>percent may be allocated to high yield bond. So it

0:12:32.320 --> 0:12:37.319
<v Speaker 1>could just turn into it's eighty percent high grade public

0:12:37.520 --> 0:12:40.080
<v Speaker 1>debt and then twenty percent high old bonds.

0:12:40.280 --> 0:12:43.280
<v Speaker 2>Yeah, there are a lot of regular stock mutual funds

0:12:43.280 --> 0:12:46.320
<v Speaker 2>that are tech focused then like have one little holding

0:12:46.360 --> 0:12:49.199
<v Speaker 2>of like a startup private stock. But yeah, ninety nine

0:12:49.200 --> 0:12:51.560
<v Speaker 2>percent public equities. You can imagine this being that there's

0:12:51.600 --> 0:12:53.319
<v Speaker 2>like a little sprinkling of private credit.

0:12:53.400 --> 0:12:55.600
<v Speaker 1>Yeah. Ron Barren's funds, I mean he has at least

0:12:55.640 --> 0:12:58.880
<v Speaker 1>one mutual fund that's all public and then just SpaceX.

0:13:00.040 --> 0:13:02.240
<v Speaker 2>Two points with this one is it's easy to get

0:13:02.559 --> 0:13:07.240
<v Speaker 2>retail exchange traded private credit exposure. It is called the BDC.

0:13:07.679 --> 0:13:09.880
<v Speaker 1>Right, people find that unsatisfying, though I.

0:13:11.640 --> 0:13:14.839
<v Speaker 2>Know that I don't enough. A BDC is a business

0:13:14.880 --> 0:13:18.000
<v Speaker 2>development company. It's a publicly traded pot of private credit.

0:13:18.440 --> 0:13:21.360
<v Speaker 1>It feels like buying micro strategy for bitcoin exposure.

0:13:21.360 --> 0:13:25.800
<v Speaker 2>Though no, it's not feel like it. I don't think

0:13:25.800 --> 0:13:28.600
<v Speaker 2>it does. That's what the BBC is a private credit fund.

0:13:29.000 --> 0:13:32.560
<v Speaker 2>That's what it is. It's a exchange traded, publicly available

0:13:33.280 --> 0:13:36.960
<v Speaker 2>fund that holds private credit loans. The difference between it

0:13:37.040 --> 0:13:39.520
<v Speaker 2>and an ETF is that a BDC is closed. Then

0:13:39.720 --> 0:13:42.200
<v Speaker 2>you can't take your money out. There's an arbitraged mechanism,

0:13:42.360 --> 0:13:44.640
<v Speaker 2>and so it won't necessarily trade it net asset value,

0:13:44.679 --> 0:13:48.680
<v Speaker 2>but mostly pretty close. I think. So I don't fully

0:13:48.760 --> 0:13:50.880
<v Speaker 2>understand the need for an ETF. I think some of

0:13:50.920 --> 0:13:53.600
<v Speaker 2>it is like feed driven. Some of it is like

0:13:53.720 --> 0:13:56.520
<v Speaker 2>just the ETF is the popular product, and so a

0:13:56.559 --> 0:13:59.120
<v Speaker 2>BDC feels weird and different than the ETF, feels like

0:13:59.600 --> 0:14:02.520
<v Speaker 2>an easy thing to hold in your portfolio. I suspect

0:14:02.520 --> 0:14:06.040
<v Speaker 2>part of it is like market maker driven. I suspect

0:14:06.080 --> 0:14:08.600
<v Speaker 2>that like the jan Straits of the world love trade

0:14:08.600 --> 0:14:10.400
<v Speaker 2>and ETFs and so like they're like, hey, we could

0:14:10.400 --> 0:14:12.400
<v Speaker 2>do it private credit ETF and so there's some like

0:14:13.000 --> 0:14:15.240
<v Speaker 2>desire for that, whereas the BDC is more of an

0:14:15.320 --> 0:14:18.560
<v Speaker 2>orphan in like the market structure world. But still it's weird,

0:14:18.600 --> 0:14:20.840
<v Speaker 2>right because like a BDC is this it's a retail

0:14:21.160 --> 0:14:22.040
<v Speaker 2>private credit fund.

0:14:22.120 --> 0:14:24.440
<v Speaker 1>Yeah, I don't know. It does feel unsatisfying. Well, I

0:14:24.440 --> 0:14:27.160
<v Speaker 1>mean maybe because I'm totally ETF pilled, But why.

0:14:26.960 --> 0:14:28.760
<v Speaker 2>Does it feel like? Tell me what is wrong with

0:14:28.760 --> 0:14:29.800
<v Speaker 2>a BDC in your mind?

0:14:29.960 --> 0:14:31.160
<v Speaker 1>It just feels like a proxy.

0:14:31.240 --> 0:14:33.360
<v Speaker 2>It just feels not as lot a proxy. It's a

0:14:33.400 --> 0:14:36.080
<v Speaker 2>pot of private credit assets. There's nothing proxy about it.

0:14:36.080 --> 0:14:38.280
<v Speaker 2>It is simply a pot of private credit assets.

0:14:38.320 --> 0:14:42.240
<v Speaker 1>I know I'm not alone because if that answered the

0:14:42.320 --> 0:14:45.200
<v Speaker 1>desire in the marketplace. And maybe it's a misguide.

0:14:45.280 --> 0:14:49.360
<v Speaker 2>Because the name is business development company. Yeah, sounds like

0:14:49.400 --> 0:14:51.120
<v Speaker 2>a need a company that develops businesses.

0:14:51.240 --> 0:14:53.520
<v Speaker 1>It needs a rebrand, right if you just call it

0:14:53.560 --> 0:14:56.040
<v Speaker 1>a exchange would you be happier if you called it

0:14:56.080 --> 0:14:58.880
<v Speaker 1>an exchange traded closed end private credit fund?

0:14:58.920 --> 0:15:01.800
<v Speaker 2>Are you still just allergic to the words closed in Yeah.

0:15:01.960 --> 0:15:05.080
<v Speaker 1>I mean again, like I'm ETF pilled, so I need

0:15:05.120 --> 0:15:06.520
<v Speaker 1>the I need the openness.

0:15:06.880 --> 0:15:08.760
<v Speaker 2>Okay, here's the other thing I want to say about

0:15:08.760 --> 0:15:10.520
<v Speaker 2>this though. You know, we talked about Bill Ackman's closed

0:15:10.560 --> 0:15:12.680
<v Speaker 2>then fund he should do an ETF, and I was like, well,

0:15:12.720 --> 0:15:16.080
<v Speaker 2>you know, he wants long term capital so that he

0:15:16.080 --> 0:15:18.880
<v Speaker 2>can make long term investments. I've written a lot about

0:15:18.880 --> 0:15:22.000
<v Speaker 2>private credit in the last few months, and one thing

0:15:22.000 --> 0:15:24.520
<v Speaker 2>I always say about private credit is that it is

0:15:25.440 --> 0:15:28.560
<v Speaker 2>a better funding structure for making loans than banking, is right,

0:15:28.680 --> 0:15:31.760
<v Speaker 2>Banks have short term funding, Banks take deposits. It's possible

0:15:31.760 --> 0:15:34.360
<v Speaker 2>to have a run on bank deposits, and so if

0:15:34.360 --> 0:15:36.920
<v Speaker 2>banks are making like liquid long term loans and funding

0:15:36.920 --> 0:15:39.320
<v Speaker 2>them with short term deposits, that's a risky business to

0:15:39.320 --> 0:15:42.160
<v Speaker 2>be in private credit. Meanwhile, Like raises money from insurance

0:15:42.160 --> 0:15:44.800
<v Speaker 2>companies and it's a fairly safe funding source for their

0:15:44.840 --> 0:15:48.400
<v Speaker 2>long term loans. If Apollo is offering to buy back

0:15:48.440 --> 0:15:51.480
<v Speaker 2>it's private credit assets every day, like that turns it

0:15:51.600 --> 0:15:54.320
<v Speaker 2>into runnable funding. If they have an ETF that they

0:15:54.320 --> 0:15:57.000
<v Speaker 2>promise to buy back the assets every day, like if

0:15:57.000 --> 0:15:59.640
<v Speaker 2>something goes wrong, investors can take all their money out

0:15:59.760 --> 0:16:01.760
<v Speaker 2>and follow off the buio back and then have to

0:16:01.840 --> 0:16:05.520
<v Speaker 2>raise new funding. So it is a much riskier funding

0:16:05.520 --> 0:16:08.680
<v Speaker 2>source for private credit than like the traditional you know,

0:16:08.760 --> 0:16:13.280
<v Speaker 2>insurance company, wealthy individual, whatever, like long term locked up money.

0:16:13.600 --> 0:16:16.080
<v Speaker 2>So in that sense, it's very different from a BDC.

0:16:16.200 --> 0:16:20.080
<v Speaker 2>R BDC's are permanent capital. ETFs are kind of runnable capital.

0:16:20.400 --> 0:16:22.280
<v Speaker 1>I just got a buzz. Maybe we don't want to

0:16:22.280 --> 0:16:24.080
<v Speaker 1>include this, but I just got a buzz because there

0:16:24.160 --> 0:16:27.480
<v Speaker 1>was just another filing for private credit ETF. Oh there

0:16:27.480 --> 0:16:31.720
<v Speaker 1>you get at like two thirty pm on Thursday for

0:16:32.160 --> 0:16:36.400
<v Speaker 1>the bond blocks Private Credit Clo ETF. Reading from the prospectus,

0:16:36.800 --> 0:16:40.320
<v Speaker 1>the fund is a newly organized, actively managed exchange traded

0:16:40.360 --> 0:16:44.320
<v Speaker 1>fund that will invest, under normal circumstances, at least eighty

0:16:44.360 --> 0:16:46.960
<v Speaker 1>percent of its net assets in private credit. Colos may

0:16:46.960 --> 0:16:48.880
<v Speaker 1>invest up to twenty percent of its net assets in

0:16:48.920 --> 0:16:53.240
<v Speaker 1>broadly syndicated bank loans, broadly syndicated bank loans clos, high

0:16:53.280 --> 0:16:57.120
<v Speaker 1>yield bonds, investment grade bonds, and cash. So the demand

0:16:57.360 --> 0:17:01.000
<v Speaker 1>at least from issuers is out there. Even know BDCs,

0:17:01.080 --> 0:17:04.800
<v Speaker 1>to your very real point, they exist. They exist also

0:17:05.160 --> 0:17:07.439
<v Speaker 1>it feels like there was a response. There's clearly a

0:17:07.480 --> 0:17:09.439
<v Speaker 1>response from this issue or bond blocks. It feels like

0:17:09.440 --> 0:17:12.080
<v Speaker 1>there was a response from Blackrock to this because people

0:17:12.119 --> 0:17:13.840
<v Speaker 1>have been waiting for this. I mean, we've talked about

0:17:13.840 --> 0:17:15.920
<v Speaker 1>it on the podcast before, like who's going to figure

0:17:15.920 --> 0:17:19.040
<v Speaker 1>out how to put private assets in a publicly traded ETF.

0:17:19.080 --> 0:17:23.440
<v Speaker 1>We know that black we know that Blackrock has ambitions there,

0:17:23.480 --> 0:17:26.879
<v Speaker 1>and on Thursday they didn't announce that they were doing that,

0:17:26.960 --> 0:17:31.280
<v Speaker 1>but they did announce this partnership with partners Group. They're

0:17:31.320 --> 0:17:34.719
<v Speaker 1>teaming up to offer retail investors a variety of private

0:17:34.760 --> 0:17:37.320
<v Speaker 1>markets through a single portfolio. They want to create like

0:17:37.359 --> 0:17:42.600
<v Speaker 1>this one stop portfolio to private equity, private credit, real assets.

0:17:42.840 --> 0:17:45.800
<v Speaker 1>It's not an ETF though, no, because it's not true retail.

0:17:45.840 --> 0:17:48.960
<v Speaker 2>It's like a model portfolio for like qualified investors. Yeah,

0:17:49.040 --> 0:17:50.760
<v Speaker 2>you need to have like, no, for two million dollars

0:17:50.760 --> 0:17:51.159
<v Speaker 2>in assets.

0:17:51.400 --> 0:17:52.120
<v Speaker 1>Yeah.

0:17:52.160 --> 0:17:54.800
<v Speaker 2>And it's just like if you are a customer of

0:17:54.800 --> 0:17:57.880
<v Speaker 2>a wealth manager, like they'll happily put you into like

0:17:58.240 --> 0:18:02.120
<v Speaker 2>a private credit fund or whatever, and now black Rock

0:18:02.200 --> 0:18:05.240
<v Speaker 2>will help them put you into a portfolio of private

0:18:05.240 --> 0:18:07.520
<v Speaker 2>credit funds in one place. But it's not an ETF.

0:18:07.560 --> 0:18:09.679
<v Speaker 2>It's not like it's not like a true retail thing

0:18:09.720 --> 0:18:10.160
<v Speaker 2>you can buy.

0:18:11.040 --> 0:18:13.600
<v Speaker 1>Yeah, you can't click a button and then buy it.

0:18:13.600 --> 0:18:16.240
<v Speaker 1>It is interesting though, just it feels like, especially in

0:18:16.280 --> 0:18:19.600
<v Speaker 1>the ETF market, there's an arms race for any white space,

0:18:19.680 --> 0:18:22.880
<v Speaker 1>and here's the white space. I do think it's interesting

0:18:22.880 --> 0:18:27.760
<v Speaker 1>that Apollo partnered with State Street. It does suggest that

0:18:27.880 --> 0:18:31.399
<v Speaker 1>like Apollo isn't all in on the ETF industry, that

0:18:31.440 --> 0:18:33.400
<v Speaker 1>they didn't want to you know, high.

0:18:34.040 --> 0:18:37.600
<v Speaker 2>They don't care, I know, I know, but they want

0:18:37.600 --> 0:18:41.679
<v Speaker 2>like funding for their giant portfolio of private credit. Right

0:18:42.080 --> 0:18:43.639
<v Speaker 2>if State Street comes to them is like, we'll give

0:18:43.680 --> 0:18:46.000
<v Speaker 2>you retail funding, they'll take it, right. They're not like, ooh,

0:18:46.080 --> 0:18:49.680
<v Speaker 2>the one basis point fees on ets we want that juicy.

0:18:49.720 --> 0:18:51.600
<v Speaker 1>It is interesting that they went with State Street though,

0:18:51.600 --> 0:18:53.760
<v Speaker 1>I mean, State Street obviously is home to the oldest

0:18:53.800 --> 0:18:56.560
<v Speaker 1>and biggest ETF, but they've kind of been slipping in

0:18:56.600 --> 0:19:02.040
<v Speaker 1>the ranks. Who does States But Goldman Sachs, for example,

0:19:02.160 --> 0:19:06.200
<v Speaker 1>has this accelerator platform which is like a white label,

0:19:06.240 --> 0:19:08.520
<v Speaker 1>but not quite a white label that some big names

0:19:08.520 --> 0:19:11.119
<v Speaker 1>have come through. I'm kind of surprised that Apollo went

0:19:11.160 --> 0:19:13.680
<v Speaker 1>with State Street versus going through a white label such

0:19:13.720 --> 0:19:16.920
<v Speaker 1>as Goldman's. But that's just a little bit of industry chatter.

0:19:17.119 --> 0:19:35.119
<v Speaker 1>Does not it does not matter to end investors at all.

0:19:35.200 --> 0:19:39.159
<v Speaker 1>Let me just check my phone. I'm sorry, everything's so

0:19:39.240 --> 0:19:42.800
<v Speaker 1>stupid all the time. I'm excited to talk about Spotify.

0:19:43.119 --> 0:19:43.480
<v Speaker 2>That's a.

0:19:46.080 --> 0:19:49.320
<v Speaker 1>I've never thought about the economics of Spotify before we

0:19:49.359 --> 0:19:52.320
<v Speaker 1>get to Michael Smith, which we might. We might get

0:19:52.359 --> 0:19:54.800
<v Speaker 1>to him. He sounds like a fake person. Maybe he's

0:19:54.840 --> 0:19:55.359
<v Speaker 1>a robot.

0:19:55.600 --> 0:20:01.560
<v Speaker 2>Oh could be yeah, Michael calm Knuckles Smith anyway, Spotify, Yeah,

0:20:01.800 --> 0:20:02.960
<v Speaker 2>I mean the way it works is like you pay

0:20:03.000 --> 0:20:03.480
<v Speaker 2>like twelve.

0:20:03.320 --> 0:20:05.000
<v Speaker 1>Bucks a month every month I do.

0:20:05.600 --> 0:20:06.879
<v Speaker 2>It doesn't matter how much you listen to it. You

0:20:06.920 --> 0:20:07.800
<v Speaker 2>pay twelve bucks a month.

0:20:07.960 --> 0:20:11.400
<v Speaker 1>Yeah. I have never thought about that, and it would

0:20:11.440 --> 0:20:13.680
<v Speaker 1>really suck if they did a sliding scale based on

0:20:13.920 --> 0:20:16.080
<v Speaker 1>use because I listened to so much.

0:20:16.280 --> 0:20:17.800
<v Speaker 2>Yeah, I mean, the whole point of it is like

0:20:17.840 --> 0:20:19.600
<v Speaker 2>you don't, right, Like, the whole point of it is like,

0:20:19.680 --> 0:20:21.320
<v Speaker 2>you know, it used to be paid for albums and

0:20:21.320 --> 0:20:24.200
<v Speaker 2>now you pay for unlimited streaming and you pay twelve

0:20:24.200 --> 0:20:28.160
<v Speaker 2>bucks a month, but Spotify still pays the artists based

0:20:28.200 --> 0:20:31.480
<v Speaker 2>on how much they stream, sort of like takes all

0:20:31.480 --> 0:20:34.720
<v Speaker 2>the money that it gets, yeah, and it signs seventy

0:20:34.720 --> 0:20:37.600
<v Speaker 2>five percent to the rights holders, artists and record labels,

0:20:38.240 --> 0:20:40.720
<v Speaker 2>and then it divides up that pot of money based

0:20:40.760 --> 0:20:43.600
<v Speaker 2>on relatively how much you stream. It's not like Spotify

0:20:43.640 --> 0:20:45.240
<v Speaker 2>is like we pay one cent to stream, and like

0:20:45.280 --> 0:20:47.040
<v Speaker 2>if they're more streams and they expected, they pay more

0:20:47.080 --> 0:20:49.320
<v Speaker 2>money thany expected. They pay a fixed amount of money,

0:20:49.640 --> 0:20:51.840
<v Speaker 2>but they divide it up based on how much your

0:20:51.920 --> 0:20:54.600
<v Speaker 2>songs get streamed. And so what that means is that

0:20:54.640 --> 0:20:57.280
<v Speaker 2>if you are a customer and you pay twelve bucks

0:20:57.280 --> 0:20:59.639
<v Speaker 2>a month and you stream music twenty four to seven

0:20:59.720 --> 0:21:03.320
<v Speaker 2>from month, you will allocate more money than the twelve

0:21:03.359 --> 0:21:06.359
<v Speaker 2>bucks you put in. Spotify will send more than twelve

0:21:06.440 --> 0:21:09.560
<v Speaker 2>dollars to the people you are listening to. Meanwhile, if

0:21:09.600 --> 0:21:11.520
<v Speaker 2>I sign up for Spotify and I listened to one

0:21:11.520 --> 0:21:14.280
<v Speaker 2>song a month, Spotify will send like one penny to

0:21:14.359 --> 0:21:16.280
<v Speaker 2>the artist of the song that I listened to. And

0:21:16.320 --> 0:21:20.160
<v Speaker 2>once you know that, like the answer is obvious, which

0:21:20.200 --> 0:21:23.520
<v Speaker 2>is like you sign up for Spotify, you know you

0:21:23.520 --> 0:21:26.720
<v Speaker 2>have a computer on mute playing twenty four to seven

0:21:26.920 --> 0:21:28.719
<v Speaker 2>the songs that you want to send money to, and

0:21:28.720 --> 0:21:29.720
<v Speaker 2>then like you get the money.

0:21:29.880 --> 0:21:33.760
<v Speaker 1>Yeah, And that's what I do money, That's what I

0:21:33.800 --> 0:21:36.560
<v Speaker 1>do with money stuff. Absolutely, I have my laptop at

0:21:36.560 --> 0:21:37.760
<v Speaker 1>home just listening on.

0:21:37.720 --> 0:21:42.240
<v Speaker 2>Loose and I make three tenths of a penny.

0:21:42.480 --> 0:21:48.239
<v Speaker 1>I make nothing. I'm doing this for fun. I'm just

0:21:48.240 --> 0:21:49.560
<v Speaker 1>doing it for the good of the company.

0:21:52.600 --> 0:21:55.720
<v Speaker 2>He gets all of it. There's not that much money

0:21:55.760 --> 0:21:58.479
<v Speaker 2>in this unless you have a thousand computers saying it.

0:21:58.640 --> 0:22:01.920
<v Speaker 2>And so there's this guy, Michael Smith who had a

0:22:02.000 --> 0:22:05.359
<v Speaker 2>thousand computers which I mean actually like virtual computers on

0:22:05.400 --> 0:22:07.600
<v Speaker 2>like a cloud service. Right, He had like a thousand

0:22:07.640 --> 0:22:11.800
<v Speaker 2>cloud computers streaming songs twenty four to seven to send

0:22:11.880 --> 0:22:16.160
<v Speaker 2>him the money. And because Spotify pays attention to this stuff,

0:22:16.160 --> 0:22:18.440
<v Speaker 2>he couldn't just like stream one song over and over again.

0:22:18.960 --> 0:22:21.320
<v Speaker 2>He had to set up a bunch of fake bands

0:22:21.760 --> 0:22:24.200
<v Speaker 2>and have the fake bands record a bunch of fake songs.

0:22:24.320 --> 0:22:25.960
<v Speaker 2>And even the fake songs, he can't just be like

0:22:26.240 --> 0:22:28.400
<v Speaker 2>him tapping on a table, you know, has to like

0:22:28.600 --> 0:22:31.679
<v Speaker 2>sound song like. And so he had like hired an

0:22:31.680 --> 0:22:34.359
<v Speaker 2>AI company to write like AI music and it is

0:22:34.400 --> 0:22:37.240
<v Speaker 2>so disappointing. The prosecutors list a couple of dozen band

0:22:37.280 --> 0:22:38.679
<v Speaker 2>names and a couple of dozen.

0:22:39.520 --> 0:22:41.280
<v Speaker 1>A lot of them titles, I mean, many of them

0:22:41.280 --> 0:22:42.439
<v Speaker 1>are kind of cool sounding.

0:22:43.080 --> 0:22:47.119
<v Speaker 2>They're so good. This is like an alphabetical list, like

0:22:47.119 --> 0:22:49.959
<v Speaker 2>there's like a randomly selected bit of the alphabet. So

0:22:50.680 --> 0:22:54.800
<v Speaker 2>the song titles are mostly words starting with zy that

0:22:54.840 --> 0:22:59.600
<v Speaker 2>don't make any sense. But they include zygotes, zygotic, zygotic,

0:22:59.800 --> 0:23:05.280
<v Speaker 2>wash stands, zime, doing zimes, zimite, zimo, fight, zimo, jens.

0:23:05.480 --> 0:23:12.040
<v Speaker 2>And the artist names include Calliope, Bloom, Callous, Humane, calm Knuckles, good,

0:23:12.200 --> 0:23:17.280
<v Speaker 2>calm Market, calvinistic dust. Yeah. Anyway, it's like a lot

0:23:17.320 --> 0:23:22.399
<v Speaker 2>of great, randomly chosen names for fakes. But my point

0:23:22.440 --> 0:23:26.760
<v Speaker 2>is that all of this stuff presumably lived on like Spotify.

0:23:26.760 --> 0:23:29.000
<v Speaker 2>I say, we say Spotify, it's like all the streaming

0:23:29.000 --> 0:23:31.280
<v Speaker 2>services he apparently took for money, so Spotify, Apple, and

0:23:31.320 --> 0:23:34.439
<v Speaker 2>he's like YouTube. All these songs apparently lived on these services,

0:23:34.800 --> 0:23:36.880
<v Speaker 2>and they all seem to have been taken down because

0:23:36.920 --> 0:23:39.000
<v Speaker 2>I've been searching for them, I can't find any because

0:23:39.000 --> 0:23:39.920
<v Speaker 2>like if we could play.

0:23:39.720 --> 0:23:43.400
<v Speaker 1>Them, I know, like asking from the perspective of the listener,

0:23:43.600 --> 0:23:45.080
<v Speaker 1>like we should be playing this music.

0:23:45.160 --> 0:23:48.639
<v Speaker 2>These songs good, were they best? Were they mediocre? They

0:23:48.680 --> 0:23:51.320
<v Speaker 2>were generated? By AI, so they weren't like just nothing,

0:23:51.920 --> 0:23:54.920
<v Speaker 2>they were an AI trained in music. There he composed

0:23:54.960 --> 0:23:55.359
<v Speaker 2>the song.

0:23:55.720 --> 0:23:59.560
<v Speaker 1>So how much money did he make? That's insane? So

0:23:59.640 --> 0:24:02.400
<v Speaker 1>it was about this, like when people just get too greedy,

0:24:02.480 --> 0:24:06.760
<v Speaker 1>Like what if he had pretended to be a real

0:24:06.880 --> 0:24:10.119
<v Speaker 1>artist and like made his own music, and like maybe

0:24:10.840 --> 0:24:13.080
<v Speaker 1>I don't know, he had a hundred songs under his name,

0:24:13.119 --> 0:24:14.840
<v Speaker 1>but he had all these robots listening to it, and

0:24:14.880 --> 0:24:17.119
<v Speaker 1>maybe he only made a million dollars. Would that have

0:24:17.200 --> 0:24:18.160
<v Speaker 1>been less detectable?

0:24:18.240 --> 0:24:19.879
<v Speaker 2>I think it would have been more detectable, because like

0:24:20.040 --> 0:24:23.280
<v Speaker 2>the reason he had all these songs was that no

0:24:23.320 --> 0:24:26.720
<v Speaker 2>one was streaming these songs millions of times. Each of

0:24:26.760 --> 0:24:29.520
<v Speaker 2>these songs was strained a small number of times, and

0:24:29.600 --> 0:24:31.920
<v Speaker 2>like in the aggregate, all of his songs were streamed

0:24:31.920 --> 0:24:33.600
<v Speaker 2>a lot, and he made a lot of money. But

0:24:34.200 --> 0:24:36.520
<v Speaker 2>if he had just one song and it was streamed

0:24:36.560 --> 0:24:39.280
<v Speaker 2>ten million times, someone might say, but what if.

0:24:39.200 --> 0:24:40.600
<v Speaker 1>He had a hundred songs? You know?

0:24:40.840 --> 0:24:44.840
<v Speaker 2>Like what he decided that the best way to avoid

0:24:44.920 --> 0:24:48.520
<v Speaker 2>detection and to avoid getting caught by Spotify's cheating checking

0:24:48.560 --> 0:24:50.679
<v Speaker 2>algorithms was to have a lot of songs so that

0:24:50.720 --> 0:24:53.240
<v Speaker 2>it's spreading out among a bunch of different songs.

0:24:53.320 --> 0:24:57.560
<v Speaker 1>I respect his hustle. Should I say that I respect okay, good,

0:24:57.640 --> 0:25:00.399
<v Speaker 1>I respect its hustle too. All say I wish that

0:25:00.440 --> 0:25:03.439
<v Speaker 1>he had actually made music.

0:25:03.800 --> 0:25:05.560
<v Speaker 2>He had a robot makings and I probably I know he

0:25:05.600 --> 0:25:07.560
<v Speaker 2>made music, and then he decided that it was more.

0:25:07.560 --> 0:25:10.359
<v Speaker 1>Like I would have appreciated the vulnerability if he put

0:25:10.440 --> 0:25:13.960
<v Speaker 1>his music online and then he.

0:25:13.960 --> 0:25:17.560
<v Speaker 2>Needed thouands of songs. Yeah, he was busy running a scam.

0:25:17.600 --> 0:25:19.800
<v Speaker 1>That's true. It does sound. It does sound draining.

0:25:19.920 --> 0:25:21.640
<v Speaker 2>People email me a lot to be like, your math

0:25:21.760 --> 0:25:24.520
<v Speaker 2>is wrong. And in fact, when like Spotify gives this

0:25:24.640 --> 0:25:26.640
<v Speaker 2>money to the rights holder, like most of that goes

0:25:26.680 --> 0:25:28.800
<v Speaker 2>to the record labels, it doesn't really go to the artists,

0:25:28.880 --> 0:25:32.119
<v Speaker 2>and the artists are getting stewed. Fine point taken. I'm

0:25:32.160 --> 0:25:35.159
<v Speaker 2>writing about this guy scam like in fact, the streaming

0:25:35.200 --> 0:25:38.200
<v Speaker 2>services are worse for musicians than I implied when I

0:25:38.200 --> 0:25:41.240
<v Speaker 2>read about the arbitrage. But secondly, like twenty people emailed

0:25:41.280 --> 0:25:45.080
<v Speaker 2>me about Wolfpeck, which is a funk band that you

0:25:45.160 --> 0:25:48.919
<v Speaker 2>might know as one of my like notes for what

0:25:48.960 --> 0:25:50.120
<v Speaker 2>I wanted the money instead.

0:25:49.880 --> 0:25:53.720
<v Speaker 1>Of theme song to sound like oh right now, I.

0:25:53.600 --> 0:25:56.719
<v Speaker 2>Was like describing the vibe I wanted and a brilliant

0:25:56.800 --> 0:25:58.440
<v Speaker 2>art director Jackie was like, oh, you should listen to

0:25:58.480 --> 0:25:59.280
<v Speaker 2>this Voltpec song.

0:25:59.320 --> 0:26:02.960
<v Speaker 1>I was like, yes, now we're going to see stream skyrocket.

0:26:02.880 --> 0:26:06.880
<v Speaker 2>For full Yeah. Yeah. In twenty fourteen, they put out

0:26:06.920 --> 0:26:13.080
<v Speaker 2>an album that was like twelve thirty second tracks of silence.

0:26:12.800 --> 0:26:14.040
<v Speaker 1>And they were like that, so what you wanted our

0:26:14.119 --> 0:26:15.720
<v Speaker 1>music to sound like? No?

0:26:15.720 --> 0:26:18.840
<v Speaker 2>No, Otherwise they put out music that is louder. They

0:26:18.920 --> 0:26:23.679
<v Speaker 2>asked their fans to stream it on Loop as they slept. Yeah,

0:26:23.760 --> 0:26:26.080
<v Speaker 2>because the fans weren't paying for that, right, they didn't

0:26:26.160 --> 0:26:28.720
<v Speaker 2>didn't affect them right as quiet, and they weren't paying

0:26:28.720 --> 0:26:31.280
<v Speaker 2>because they paid a flat feet of Spotify. Spotify counts

0:26:31.320 --> 0:26:33.080
<v Speaker 2>to stream if it's like more than thirty seconds, So

0:26:33.200 --> 0:26:35.560
<v Speaker 2>you stream like twelve thirty one second songs on loop

0:26:35.600 --> 0:26:36.840
<v Speaker 2>all night, then that's like, you.

0:26:36.840 --> 0:26:38.240
<v Speaker 1>Know, that's great.

0:26:40.200 --> 0:26:43.879
<v Speaker 2>Eighty stream right now, eight hundred streams.

0:26:44.000 --> 0:26:46.199
<v Speaker 1>I'm certainly not going to fact check you.

0:26:46.440 --> 0:26:48.880
<v Speaker 2>Yeah, it's like thousands streams for them, right, So that's

0:26:48.920 --> 0:26:51.520
<v Speaker 2>like thousands streams that like a fraction of a penny

0:26:51.560 --> 0:26:54.160
<v Speaker 2>per stream is like ten bucks or something. Not bad

0:26:54.200 --> 0:26:56.439
<v Speaker 2>if all of their fans do that. They were like,

0:26:56.440 --> 0:26:58.800
<v Speaker 2>we're going to put on a free concert funded by.

0:26:58.720 --> 0:26:59.920
<v Speaker 1>The that's hysterical.

0:27:00.280 --> 0:27:03.000
<v Speaker 2>They ended up raising about twenty thousand dollars and the

0:27:03.040 --> 0:27:05.800
<v Speaker 2>album was removed for violting Spotify's terms of service. Oh,

0:27:05.800 --> 0:27:09.280
<v Speaker 2>come on, nobody thought it was a crime. Somebody emailed

0:27:09.280 --> 0:27:11.000
<v Speaker 2>me to say that they handed out twenty dollars bills

0:27:11.000 --> 0:27:13.640
<v Speaker 2>at this free concert to thank their fans for doing it.

0:27:13.760 --> 0:27:14.520
<v Speaker 2>I don't know that's true.

0:27:14.560 --> 0:27:15.320
<v Speaker 1>That's so fun.

0:27:15.119 --> 0:27:17.399
<v Speaker 2>Anyways, really cool. The other thing that people pointed me

0:27:17.440 --> 0:27:22.359
<v Speaker 2>too is that in twenty sixteen, Nelly owed two point

0:27:22.359 --> 0:27:24.879
<v Speaker 2>four million dollars in back taxes, and so there is

0:27:24.920 --> 0:27:28.479
<v Speaker 2>a hashtag campaign Saved Nelly to get people to stream

0:27:28.560 --> 0:27:32.600
<v Speaker 2>hot in Here some number of times that was estimated

0:27:32.600 --> 0:27:34.680
<v Speaker 2>between like two hundred and eighty and four hundred million

0:27:34.960 --> 0:27:36.080
<v Speaker 2>in order to raise the money.

0:27:36.119 --> 0:27:38.800
<v Speaker 1>It's insane. I don't know if it were it worked

0:27:38.800 --> 0:27:40.520
<v Speaker 1>to put I'm sure Nelly's fine.

0:27:40.640 --> 0:27:41.200
<v Speaker 2>He's fine.

0:27:41.280 --> 0:27:44.080
<v Speaker 1>Yeah, he's fine. I will say I listened to podcasts

0:27:44.119 --> 0:27:46.919
<v Speaker 1>when I sleep, which got me thinking about the sliding scale,

0:27:46.920 --> 0:27:49.480
<v Speaker 1>Like most of my Spotify usage comes at night when

0:27:49.520 --> 0:27:50.080
<v Speaker 1>I'm asleep.

0:27:50.160 --> 0:27:51.800
<v Speaker 2>Oh, I mean, people were like, is this a crime

0:27:51.840 --> 0:27:52.520
<v Speaker 2>should be a crime.

0:27:52.560 --> 0:27:53.600
<v Speaker 1>I know it's in the code.

0:27:53.960 --> 0:27:56.159
<v Speaker 2>It's in the code, right. I mean, like there's a

0:27:56.200 --> 0:27:58.400
<v Speaker 2>lot of stuff like this, where like there's a company

0:27:58.520 --> 0:28:00.720
<v Speaker 2>that has some terms of service and people violate the

0:28:00.800 --> 0:28:03.399
<v Speaker 2>terms of service and then people are, yeah, shouldn't they

0:28:03.440 --> 0:28:04.160
<v Speaker 2>just sue them?

0:28:04.400 --> 0:28:04.600
<v Speaker 1>Right?

0:28:05.280 --> 0:28:07.119
<v Speaker 2>And I think here it's a little different because this

0:28:07.160 --> 0:28:10.600
<v Speaker 2>doesn't actually cost Spotify any money. Spotify doesn't care. Yeah,

0:28:10.760 --> 0:28:14.639
<v Speaker 2>Spotify is like, we get all this money and we

0:28:14.680 --> 0:28:16.960
<v Speaker 2>set aside three quarters of it the people who own

0:28:16.960 --> 0:28:19.439
<v Speaker 2>the songs, and we just don't care what happens. Yeah,

0:28:19.480 --> 0:28:21.639
<v Speaker 2>whoever wants that, you know, we don't care. We have

0:28:21.680 --> 0:28:24.240
<v Speaker 2>like some reasonably fair formula as a matter of like

0:28:24.280 --> 0:28:27.520
<v Speaker 2>pr and as a matter of like you know, getting

0:28:27.520 --> 0:28:29.359
<v Speaker 2>the record labels to sign up to put their music

0:28:29.400 --> 0:28:32.560
<v Speaker 2>on Spotify, but like, they don't care. It's not their money.

0:28:32.720 --> 0:28:35.360
<v Speaker 1>So it doesn't get worse for artists. Is Spotify g's

0:28:35.359 --> 0:28:37.360
<v Speaker 1>more popular, that's.

0:28:38.240 --> 0:28:41.040
<v Speaker 2>What compared to I don't know. I guess it gets

0:28:41.280 --> 0:28:44.760
<v Speaker 2>good for artists because Spotify has more money and it

0:28:45.000 --> 0:28:48.360
<v Speaker 2>sets aside a fixed fraction of that money for artists.

0:28:48.880 --> 0:28:51.640
<v Speaker 2>It's bad for artists if the alternative Spotify was like

0:28:51.720 --> 0:28:55.600
<v Speaker 2>buying CDs. Oh yeah, But what's really bad for artists

0:28:55.720 --> 0:28:57.000
<v Speaker 2>is like if there's a lot of guys like this,

0:28:57.760 --> 0:29:00.160
<v Speaker 2>that is people's reaction to the story is like, yeah, okay,

0:29:00.160 --> 0:29:03.040
<v Speaker 2>here's this one guy with a bunch of bots and

0:29:03.080 --> 0:29:05.480
<v Speaker 2>a very sort of sophisticated way to do this arbitrage

0:29:05.560 --> 0:29:08.880
<v Speaker 2>who made ten million dollars? But like, are there hundreds

0:29:08.880 --> 0:29:11.720
<v Speaker 2>of those guys? Is a lot of the money on

0:29:11.760 --> 0:29:14.160
<v Speaker 2>Spotify going to people who are somewhere faking their streams,

0:29:14.440 --> 0:29:16.440
<v Speaker 2>and obviously Spotify like puts a lot of effort into

0:29:16.480 --> 0:29:19.360
<v Speaker 2>stopping that, and they did keep stopping this guy, and

0:29:19.400 --> 0:29:21.840
<v Speaker 2>you had to go to some lengths to get back on.

0:29:21.920 --> 0:29:24.840
<v Speaker 2>But you know, people are suspecious and they did extract

0:29:24.920 --> 0:29:26.280
<v Speaker 2>ten million dollars from Spotify.

0:29:26.360 --> 0:29:30.560
<v Speaker 1>That's so funny. That's so much money. Sounds like a good,

0:29:30.680 --> 0:29:33.040
<v Speaker 1>good gig. Oh. One thing I wanted to add he

0:29:33.120 --> 0:29:35.320
<v Speaker 1>paired up with that AI company in like twenty eighteen

0:29:35.400 --> 0:29:37.520
<v Speaker 1>or twenty nineteen, Right, they were early.

0:29:37.600 --> 0:29:41.080
<v Speaker 2>That's true. Yeah, yeah, I don't know what AI means, right,

0:29:41.120 --> 0:29:43.959
<v Speaker 2>Like you can get pretty sophisticated with chenerative AI models

0:29:43.960 --> 0:29:45.640
<v Speaker 2>now that will like make a song in the style

0:29:45.640 --> 0:29:48.360
<v Speaker 2>of blah blah blah, but like like if you.

0:29:48.480 --> 0:29:51.400
<v Speaker 1>Randomly, I do wonder like when it's together, you might

0:29:51.480 --> 0:29:52.040
<v Speaker 1>have enough.

0:29:51.880 --> 0:29:53.600
<v Speaker 2>To full Spotify in twenty eighteen.

0:29:53.680 --> 0:29:56.240
<v Speaker 1>Yeah, that's true. I do wonder though, when AI artists

0:29:56.360 --> 0:30:00.560
<v Speaker 1>are going to become big on Spotify, because I'm TikTok

0:30:00.600 --> 0:30:04.880
<v Speaker 1>a lot and there's all these silly AI songs of

0:30:05.040 --> 0:30:09.760
<v Speaker 1>Drake singing like Alana del Rey cover and some of

0:30:09.800 --> 0:30:12.360
<v Speaker 1>them we're good, some of them sound like real music,

0:30:12.480 --> 0:30:15.320
<v Speaker 1>So that'll be an interesting ethical question for Spotify. And

0:30:15.400 --> 0:30:17.320
<v Speaker 1>like a couple of years, probably I wish I had

0:30:17.320 --> 0:30:19.280
<v Speaker 1>a snapperod turn. That's fine, that's fine.

0:30:21.800 --> 0:30:23.280
<v Speaker 2>And that was the Money Stuff Podcast.

0:30:23.400 --> 0:30:25.600
<v Speaker 1>I'm Matt Levy and I'm Katie Greifeld.

0:30:25.800 --> 0:30:27.840
<v Speaker 2>You can find my work by subscribing to the Money

0:30:27.840 --> 0:30:30.160
<v Speaker 2>Stuff newsletter on Bloomberg dot com.

0:30:29.880 --> 0:30:32.320
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0:30:48.640 --> 0:30:51.440
<v Speaker 2>The Money Stuff Podcast is produced by Anna Maserakus and

0:30:51.480 --> 0:30:52.600
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0:30:52.720 --> 0:30:54.520
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0:30:54.400 --> 0:30:57.600
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0:30:57.520 --> 0:30:59.640
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0:31:00.120 --> 0:31:02.360
<v Speaker 2>For listening to The Money Stuff Podcast. We'll be back

0:31:02.400 --> 0:31:03.680
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