WEBVTT - Garlic Cartel: Markets, Credit, Code

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News. Hello and welcome to

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<v Speaker 1>the Money Stuff Podcast. You're a weekly podcast where we

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<v Speaker 1>talk about stuff related to money. I'm Matt Levian and

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<v Speaker 1>I write the Money Stuff column for Bloomberg Opinion.

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<v Speaker 2>And I'm Katie Greifeld, a reporter for Bloomberg News and

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<v Speaker 2>an anchor for Bloomberg Television.

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<v Speaker 1>What are we talking about today, Katie?

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<v Speaker 2>We're going to talk about farmers markets, We're going to

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<v Speaker 2>talk about private credit, and then we're going to talk

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<v Speaker 2>about stealing some trade secrets and moving to China.

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<v Speaker 1>That sounds good.

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<v Speaker 2>I printed out the pricing charts for like beef, so

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<v Speaker 2>we have a meaty section.

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<v Speaker 1>I was at the one of the farmer's markets near me.

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<v Speaker 1>I go to two farmers' markets per weekend. I was

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<v Speaker 1>recognized by a person working at one of the stands. Wow,

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<v Speaker 1>it works in financial media and also works at the

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<v Speaker 1>farmer's market to get her mind off things, and she's

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<v Speaker 1>apparently a fan of mine, and offered me free garlic.

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<v Speaker 2>Did you take it? So you took the free garlic,

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<v Speaker 2>and then you undercut some farm stands. Some farmer who

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<v Speaker 2>like put in the labor, and you knew what to charge.

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<v Speaker 1>Because this is before I knew anything about farmer's market pricing.

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<v Speaker 1>I was a babe in the woods in terms.

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<v Speaker 2>Of oh, I thought this was like last weekend.

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<v Speaker 1>No, it was like three weekends.

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<v Speaker 2>Okay, if only you had known.

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<v Speaker 1>But I do not honestly pay that much attention to

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<v Speaker 1>pricing at the farmer's markets. But I am aware of

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<v Speaker 1>the disparity in garlic pricing at the different stands. There's

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<v Speaker 1>a stand where I have seen but not purchased garlic

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<v Speaker 1>for three dollars ahead. Seems really high for garlic. But

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<v Speaker 1>also the farmers garlic is so good, Like I now

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<v Speaker 1>they got farmer's market garlic can probably pay five x

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<v Speaker 1>what i'd pat agressory store. Me.

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<v Speaker 2>Trying to think of something relatable to say reminds me

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<v Speaker 2>of the Arrested development scene or Luciel's like it's a banana, Michael,

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<v Speaker 2>how much could it cost? Or something like that. Yeah,

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<v Speaker 2>I feel like if you're at a farmer's market, you're

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<v Speaker 2>kind of a price and sensitive buyer of produce.

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<v Speaker 1>I'm pretty close to the ideal of price and sensitive

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<v Speaker 1>buyer of produce. But even I was like three dollars garlic, hold.

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<v Speaker 2>On whoa, it's too rich for my blood. Well, what

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<v Speaker 2>a timely conversation that we're organically having about pricing at

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<v Speaker 2>farmers markets.

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<v Speaker 1>It's all I think about. Yeah, sorry, I just said

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<v Speaker 1>if not anything, I think about it at all, and

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<v Speaker 1>I'm totally which is closer to the truth. But now

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<v Speaker 1>I'm thinking about pricing at farmer's markets.

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<v Speaker 2>Yeah, so is Cornell University question mark great transition. Yeah,

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<v Speaker 2>why don't you tell me about what they're doing.

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<v Speaker 1>They're aggregating prices for farmers. They have like a website

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<v Speaker 1>that publishes free information on prices of various agricultural goods

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<v Speaker 1>for farmers at farmers' markets to basically help them set

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<v Speaker 1>their prices. Because if you're a farmer at a farmer's market,

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<v Speaker 1>you you know, are in the business of working the land,

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<v Speaker 1>ground the produce, and you're maybe not like a savvy

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<v Speaker 1>pricer of produce at farmers markets, and you know, the

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<v Speaker 1>buyers at farmer's markets are not necessarily savvy pricers of

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<v Speaker 1>produce either, so you could probably charge them a lot

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<v Speaker 1>more than you do, and Cornell is helping you charge

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<v Speaker 1>them more than you do by telling you what the

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<v Speaker 1>actual price of garlic is.

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<v Speaker 2>Seems like a real antitrust concern potentially, you know, you.

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<v Speaker 1>Know, I sort of have jokingly suggested that if you

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<v Speaker 1>have got kind of mad at me, like from your perspectives,

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<v Speaker 1>one is like, no, it's not a farmer's no, no, no,

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<v Speaker 1>like just my regular road. So it was like, no,

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<v Speaker 1>it's not an antrost concern, which it is not really

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<v Speaker 1>an intro trust concern. But the other thing is, like

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<v Speaker 1>I made that suggestion because the Justice Department a couple

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<v Speaker 1>of months ago sued Real Page, which is like, I'm

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<v Speaker 1>gonna exaggerate and say this, but for landlords, right, it's

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<v Speaker 1>like a software product that tells landlords how much other

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<v Speaker 1>landlords are charging for rent so they know how to

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<v Speaker 1>set the rent on their apartments. And the Justice Department

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<v Speaker 1>said that Real Page is fostering collusion among landlords and

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<v Speaker 1>reducing competition in the rental space and raising prices for tenants.

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<v Speaker 1>And I sort of tongue in cheek compared this Farmer's

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<v Speaker 1>Market stuff to Real Page, and people got mad because

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<v Speaker 1>they're like, but the Real Page case is real. There's

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<v Speaker 1>more stuff there, right, like the right page case the

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<v Speaker 1>Farmer's Market stuff they're essentially using fairly straightforward technology to

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<v Speaker 1>aggregate prices at a bunch of farmers' markets and also supermarkets.

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<v Speaker 1>Real page is getting private information from landlords, so it's

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<v Speaker 1>like they get more information than just like what's available

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<v Speaker 1>to the public. And they're also using it to suggest

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<v Speaker 1>the landlords or this is what the Justice Department alledge is.

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<v Speaker 1>They're using it to suggest that landlords raise their prices,

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<v Speaker 1>and like they've explicitly said things like a rising tide

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<v Speaker 1>lifts all butts. It's like they're like, you know, in

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<v Speaker 1>the business of trying to make landlords try to high rents.

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<v Speaker 1>This one is, you know, based on publicly available prices.

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<v Speaker 1>It's harder to get mad at it. It seems to

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<v Speaker 1>me that there is a real continuum and that it

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<v Speaker 1>just used to be the case that it was hard

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<v Speaker 1>to be sophisticated about knowing your competitors' prices in like

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<v Speaker 1>all sorts of areas, because yeah, your competitors' prices weren't

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<v Speaker 1>like easily available on the internet. And now it is

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<v Speaker 1>so much easier to like aggregate public data about prices,

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<v Speaker 1>and so now you can anyone can be more sensitive

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<v Speaker 1>to like what their competitors are charging. And the just

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<v Speaker 1>this department gets nervous about that. Not the farmers, but

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<v Speaker 1>in general.

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<v Speaker 2>The goal here for the farmers is explicitly to raise prices.

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<v Speaker 1>Yeah, that's true.

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<v Speaker 2>Like there's there's a quote from someone involved in other words,

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<v Speaker 2>to give them a better day at the farmers market,

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<v Speaker 2>because they're going to be there for eight or six hours,

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<v Speaker 2>whether they make four hundred dollars or eight hundred dollars.

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<v Speaker 2>So we're looking for how we can help them earn

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<v Speaker 2>more in those hours. So that's the goal.

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<v Speaker 1>That's the goal.

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<v Speaker 2>They want the farmers to charge more. We should say

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<v Speaker 2>this is from a Marketplace article. It was a really

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<v Speaker 2>fun read, I realized. So I was reading your real

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<v Speaker 2>page column and it occurred to me that perhaps I'm

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<v Speaker 2>being naive. I just don't see any situation where there

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<v Speaker 2>wouldn't be a race to the bottom.

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<v Speaker 1>What do you mean a race to the bottom line,

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<v Speaker 1>like in.

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<v Speaker 2>Terms of like, okay, we're all only going to charge

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<v Speaker 2>three thousand dollars per month, guys, that's the bottom. I

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<v Speaker 2>feel like, why wouldn't you just undercut that?

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<v Speaker 1>Right? I mean, these cases are weird, right, This notion

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<v Speaker 1>of like tacit collusion or algorithmic collusion is different from

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<v Speaker 1>a classic cartel where you get together in a room

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<v Speaker 1>and you're like, none of us are going to charge

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<v Speaker 1>less than three thousand dollars and if you do break

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<v Speaker 1>your legs, right, there's no suggestion of breaking your legs here, right, this.

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<v Speaker 2>Is just not written down.

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<v Speaker 1>No, I don't think at all.

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<v Speaker 2>Maybe choking. They're not going to break your legs, Matt.

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<v Speaker 1>We'll get to a story about that. But there's no

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<v Speaker 1>like explicit cartel. Right, It's just like everyone wants to

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<v Speaker 1>charge as much as they can, and like they're limited

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<v Speaker 1>by competitive pressures where they have to charge less. And

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<v Speaker 1>there is this suggestion that if you know, oh, your competitors' prices,

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<v Speaker 1>it is easier to not undercut them or to like

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<v Speaker 1>undercut them less. Right, Like if you don't, like, if

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<v Speaker 1>you don't know what everyone else is charging, you might

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<v Speaker 1>be like, I want to be the low cost provider,

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<v Speaker 1>and so I'll charge twenty seven hundred. But if you

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<v Speaker 1>know what everyone else is charging, you can be like, oh,

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<v Speaker 1>charge twenty nine ninety nine, right, Like you can it's

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<v Speaker 1>a little bit easier to coordinate on the same price

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<v Speaker 1>if you have complete information. This is the theory. It's

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<v Speaker 1>not necessarily true, And the Justice Department has been interested

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<v Speaker 1>in the idea of like price sharing because like there's

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<v Speaker 1>this theory that if like competitors in an industry are

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<v Speaker 1>getting together and sharing prices with each other, it's because

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<v Speaker 1>it's anti competitive, right, you don't have to know exactly

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<v Speaker 1>what they're doing at the price. You have to be like, well,

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<v Speaker 1>if they're sharing prices with each other, that's probably not

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<v Speaker 1>good for consumers, Like they're probably doing it for a

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<v Speaker 1>reason that involves maximizing their profits. And the Justice Department

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<v Speaker 1>has like long been interested in that, and they had

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<v Speaker 1>guidelines that were like certain kinds of price sharing are okay,

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<v Speaker 1>including like if it's aggregated and not like broken down

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<v Speaker 1>by competitor. If you know what each of your competitors charges,

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<v Speaker 1>then like you can break the legs of the one

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<v Speaker 1>who charge with the least, right, Whereas if it's just aggregated,

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<v Speaker 1>it's like a little bit more just informational. But you know,

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<v Speaker 1>they say, like aggregated data is okay, and data published

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<v Speaker 1>by a third party, so like a trade magazine publishing

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<v Speaker 1>prices rather than the competitors getting together and sharing prices.

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<v Speaker 1>They said that stuff was okay and recently, there's been

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<v Speaker 1>a change in their guidance where they're like, we're gonna

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<v Speaker 1>actually look at that stuff more closely. And I think

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<v Speaker 1>the impression is that they are worried that machine learning

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<v Speaker 1>algorithms are going to make companies better at using this

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<v Speaker 1>data to price at the maximum level to extract profits,

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<v Speaker 1>and like the sharing of data is going to make

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<v Speaker 1>industries less competitive. So there's also this interesting paper from

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<v Speaker 1>a couple of months ago by John Jung Jong of

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<v Speaker 1>University of North Carolina called Salaries on Display Unintended Consequences

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<v Speaker 1>of Wage Disclosure, or there's a paper about you know,

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<v Speaker 1>there's a lot of states have wage transparency laws where

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<v Speaker 1>like when you advertise a position, you have to say yeah, exactly.

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<v Speaker 1>And Jong finds that though, seem to lead to lower

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<v Speaker 1>wages because if you don't have information, like the market

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<v Speaker 1>is going to have disparities, right, and like some people

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<v Speaker 1>are going to pay more than others because they're ignorant, right,

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<v Speaker 1>Whereas like, if you know what everyone else is paying,

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<v Speaker 1>you're not gonna pay anymore, like a dollar more, or

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<v Speaker 1>you'll like be a little competitive, but there will be

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<v Speaker 1>no outliers. And so I think that's the same intuition

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<v Speaker 1>with pricing stuff, where if everyone is sharing information, you

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<v Speaker 1>won't have any outlier cheap providers because everyone knows, like

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<v Speaker 1>you know, the market price is this, Like I shouldn't

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<v Speaker 1>charge less.

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<v Speaker 2>That's interesting. The thing that I think the wage dis

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<v Speaker 2>goes your laws lead to is just super wide salary

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<v Speaker 2>ranges that make no sense.

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<v Speaker 1>But that's I agree with that, Like they don't seem

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<v Speaker 1>to yeah, tell you that much, but.

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<v Speaker 2>Yeah, do you want to talk about some meat prices?

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<v Speaker 1>Sure?

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<v Speaker 2>I actually looked at the website from Cornell. This is

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<v Speaker 2>monthly data, so I don't think it's the weekly days.

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<v Speaker 1>I don't going to be a long podcast where you

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<v Speaker 1>read out the price.

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<v Speaker 2>Well, I think it's interesting. So at the farmers market

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<v Speaker 2>in September, we're looking at price summary statistics across multiple

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<v Speaker 2>meat products collected from ten farms selling in twenty one

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<v Speaker 2>different farmers' markets in New York State. For chuck roast

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<v Speaker 2>in September, your weighted average price per pound was nine

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<v Speaker 2>dollars and sixty cents. Can you guess what it was

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<v Speaker 2>from the grocery store?

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<v Speaker 1>Seven dollars and twenty cents.

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<v Speaker 2>Eight dollars and twenty five.

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<v Speaker 1>Cents I don't know if I was close.

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<v Speaker 2>I think you're doing it. But that's the average price

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<v Speaker 2>per pound versus the weighted average price.

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<v Speaker 1>So farmer's market's barely charging more than the gross well,

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<v Speaker 1>and like your experience can't be beat.

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<v Speaker 2>Hold your horses there, my friends, a big farmer's market.

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<v Speaker 2>Propose non organic bacon from the farmer's market in September

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<v Speaker 2>according to this data, seventeen dollars and twenty one cents

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<v Speaker 2>per pound. What do you think it was from the

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<v Speaker 2>grocery store?

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<v Speaker 1>Seven dollars per pound?

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<v Speaker 2>So close, seven dollars and ninety eight cents per pounds.

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<v Speaker 2>I said, eight, Quite a mark up, your baby.

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<v Speaker 1>That farmer's market bacon. It's going to be delicious, is it.

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<v Speaker 2>I don't know. I'm not a bacon person on.

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<v Speaker 1>The big farmer's market. Great experience, great food. Yeah, garlic

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<v Speaker 1>cannot be beat. The ginger I got up my local

0:11:06.280 --> 0:11:09.560
<v Speaker 1>farmer's market astonishingly expensive, so good.

0:11:09.640 --> 0:11:12.240
<v Speaker 2>We were driving back from Albany this past weekend and

0:11:12.280 --> 0:11:14.960
<v Speaker 2>we went to a rest stop and there was a

0:11:15.000 --> 0:11:19.280
<v Speaker 2>farmer's market outside, like on the highway.

0:11:19.400 --> 0:11:20.480
<v Speaker 1>I'm sure that was great.

0:11:20.640 --> 0:11:23.480
<v Speaker 2>I got some dried beat chips and.

0:11:23.600 --> 0:11:25.840
<v Speaker 1>I got I know that stand but okay.

0:11:25.720 --> 0:11:27.640
<v Speaker 2>Yeah it was on the cusp of New Jersey.

0:11:28.000 --> 0:11:30.520
<v Speaker 1>No, I just mean, like, oh, there's like stands that

0:11:30.520 --> 0:11:31.120
<v Speaker 1>you see a lot of.

0:11:31.280 --> 0:11:34.720
<v Speaker 2>You also at the rest stop on the highway. Yeah,

0:11:34.760 --> 0:11:36.720
<v Speaker 2>but I don't think I'm a farmer's market person. I

0:11:36.720 --> 0:11:39.240
<v Speaker 2>don't think I have the patience. Anyway, that was a

0:11:39.320 --> 0:11:40.160
<v Speaker 2>robust discussion.

0:11:40.280 --> 0:11:41.800
<v Speaker 1>I want to add one more thing, which I did

0:11:41.840 --> 0:11:44.320
<v Speaker 1>write about, but I love it so much. Yeah, I

0:11:44.360 --> 0:11:46.600
<v Speaker 1>got an email from a reader about the Ottawa Farmer's

0:11:46.600 --> 0:11:49.720
<v Speaker 1>market where this reader sold strawberries for a while. Yeah,

0:11:49.720 --> 0:11:52.440
<v Speaker 1>and like out of those farmer's market had explicit price fixing,

0:11:52.440 --> 0:11:54.280
<v Speaker 1>where like the rules of the farmer's market said you

0:11:54.400 --> 0:11:57.440
<v Speaker 1>couldn't undercut the prices that they that were agreed on,

0:11:57.600 --> 0:12:00.400
<v Speaker 1>and you didn't say that legs were broken. But a

0:12:00.400 --> 0:12:05.440
<v Speaker 1>little bit of ploot. He found a loophole where it

0:12:05.600 --> 0:12:07.880
<v Speaker 1>was like, you know, a four liter container of strawberries

0:12:07.880 --> 0:12:09.840
<v Speaker 1>had to cost this much, and he realized that if

0:12:09.840 --> 0:12:12.000
<v Speaker 1>he sold the two and a half liter container, non

0:12:12.040 --> 0:12:15.480
<v Speaker 1>standard size container, he could undercut because there was no

0:12:15.600 --> 0:12:18.960
<v Speaker 1>rule about selling that size container. Wow, so he would

0:12:18.960 --> 0:12:21.520
<v Speaker 1>sell two and a half leaders for half the price

0:12:21.559 --> 0:12:25.080
<v Speaker 1>of four leaders and get more business. The kicker to

0:12:25.120 --> 0:12:26.800
<v Speaker 1>the story is that he's now a data scientist at

0:12:26.800 --> 0:12:28.959
<v Speaker 1>a tech fron because because I assumed that like a

0:12:29.000 --> 0:12:31.240
<v Speaker 1>tech FIM recruiter is like walking through the market and

0:12:31.280 --> 0:12:34.560
<v Speaker 1>be like this guy, yeah knows how to price ad auctions.

0:12:34.600 --> 0:12:37.040
<v Speaker 2>I wouldn't have guessed that the pipeline worked in that direction.

0:12:37.360 --> 0:12:38.600
<v Speaker 2>But that's pretty cool. You're right.

0:12:38.640 --> 0:12:40.960
<v Speaker 1>It would normally go and like, I don't know if

0:12:40.960 --> 0:12:44.320
<v Speaker 1>he was a data scientist taking a break but strawberries, but.

0:12:44.520 --> 0:13:02.000
<v Speaker 2>Maybe he was on gardening leaves. So private credit, in

0:13:02.080 --> 0:13:06.880
<v Speaker 2>the sofer world of private credit, there's a lot going on,

0:13:07.240 --> 0:13:09.120
<v Speaker 2>is there or are there just a lot of headlines?

0:13:09.320 --> 0:13:12.160
<v Speaker 1>I don't know. There's a really interesting Financial Time story

0:13:12.480 --> 0:13:14.520
<v Speaker 1>the title something like State Street is shopping for a

0:13:14.559 --> 0:13:15.240
<v Speaker 1>private credit man.

0:13:15.360 --> 0:13:16.560
<v Speaker 2>That's exactly what it is.

0:13:16.840 --> 0:13:20.319
<v Speaker 1>Photographic memory. The thing that I thought was interesting is

0:13:20.320 --> 0:13:22.360
<v Speaker 1>that the C States trade is like, yes, we're desperate

0:13:22.360 --> 0:13:24.360
<v Speaker 1>for a private credit manager. Do you know any I

0:13:24.400 --> 0:13:26.360
<v Speaker 1>need to I need to buy one right away. It's

0:13:26.400 --> 0:13:29.200
<v Speaker 1>just like the like intensity of the search for like

0:13:29.280 --> 0:13:31.800
<v Speaker 1>every big asset manager, Yeah really wants to buy a

0:13:31.840 --> 0:13:35.480
<v Speaker 1>private credit manager, which is just like a great position

0:13:35.559 --> 0:13:38.199
<v Speaker 1>to be in a few a few years ago launched

0:13:38.200 --> 0:13:40.520
<v Speaker 1>your private credit for people are like, yeah, that's weird.

0:13:40.559 --> 0:13:42.640
<v Speaker 1>Does that do? It was like a little bit of

0:13:42.640 --> 0:13:44.319
<v Speaker 1>time where private credit was like, you know, like a

0:13:44.320 --> 0:13:45.719
<v Speaker 1>little bit in the wilderness, like a little bit of

0:13:45.760 --> 0:13:48.520
<v Speaker 1>a niche strategy. And now it's like all these managers

0:13:48.559 --> 0:13:50.720
<v Speaker 1>are like State Street is kicking down their door.

0:13:50.880 --> 0:13:53.400
<v Speaker 2>Yeah, I wish that that's how I had spent my pandemic.

0:13:53.440 --> 0:13:56.800
<v Speaker 2>But here I am recording this podcast. But i's great.

0:13:56.960 --> 0:13:59.280
<v Speaker 2>I kind of like the honesty and the aggression. So

0:13:59.320 --> 0:14:01.640
<v Speaker 2>this is a CEO of State Street Global Advisors. It's

0:14:01.679 --> 0:14:04.560
<v Speaker 2>their asset management arm. She said, this area is so

0:14:04.600 --> 0:14:06.880
<v Speaker 2>well established, and given the size of our clients and

0:14:06.920 --> 0:14:09.280
<v Speaker 2>their need to build and invest in a meaningful size,

0:14:09.920 --> 0:14:12.120
<v Speaker 2>I think it just makes more sense for us to

0:14:12.160 --> 0:14:14.679
<v Speaker 2>either partner or take a stake in a much more

0:14:14.760 --> 0:14:18.960
<v Speaker 2>established firm where it's one plus one equals three. That's interesting,

0:14:19.040 --> 0:14:22.360
<v Speaker 2>rather than trying to do it organically. They're like, we're

0:14:22.480 --> 0:14:24.360
<v Speaker 2>behind already, let's go by the way.

0:14:24.360 --> 0:14:26.240
<v Speaker 1>Do it organically isn't even a thing like do it

0:14:26.320 --> 0:14:29.600
<v Speaker 1>organically means like, hey, huge guarantee is to the people

0:14:29.640 --> 0:14:33.040
<v Speaker 1>you hire, right, there's no like the market for people

0:14:33.040 --> 0:14:35.160
<v Speaker 1>in private credit is just really a pricey whether you're

0:14:35.320 --> 0:14:36.880
<v Speaker 1>hiring them or buying their firms.

0:14:37.000 --> 0:14:39.840
<v Speaker 2>Yeah, I started thinking about Apollo because she also said

0:14:39.840 --> 0:14:42.920
<v Speaker 2>we're shopping for either a full acquisition or a minority

0:14:42.920 --> 0:14:47.280
<v Speaker 2>state combined with product partnerships. And they have a planned

0:14:47.320 --> 0:14:51.480
<v Speaker 2>product partnership with Apollo. That ETF filing heard around the

0:14:51.480 --> 0:14:54.920
<v Speaker 2>world between Apollo and State Street for private credit ETF

0:14:54.960 --> 0:14:56.720
<v Speaker 2>which I don't know if that one is going to launch.

0:14:56.760 --> 0:14:59.960
<v Speaker 2>There's a lot of skepticism over that. But that's interesting.

0:15:00.680 --> 0:15:03.040
<v Speaker 1>Oh sure, but like they want a private credit offering

0:15:03.080 --> 0:15:05.480
<v Speaker 1>for their clients, right, Like they want to be able

0:15:05.520 --> 0:15:09.920
<v Speaker 1>to chuck billions of dollars institutional money into a private

0:15:09.960 --> 0:15:12.680
<v Speaker 1>credit offering, and everyone wants to that. Yeah, you know,

0:15:12.800 --> 0:15:15.400
<v Speaker 1>if you are running a private credit firm, you're raising

0:15:15.400 --> 0:15:18.040
<v Speaker 1>funds and like you're getting all these offers from all

0:15:18.080 --> 0:15:20.560
<v Speaker 1>these traditional firms. Yeah, you know. There's another article in

0:15:20.560 --> 0:15:23.000
<v Speaker 1>the Wall Street Journal about black Rock looking for alts

0:15:23.080 --> 0:15:26.760
<v Speaker 1>managers like private credit or other like alternatives, and the

0:15:26.800 --> 0:15:28.760
<v Speaker 1>reason for it is so clear, Like you can charge

0:15:28.760 --> 0:15:31.560
<v Speaker 1>like roughly one order of magnitude more n fees for

0:15:31.680 --> 0:15:35.480
<v Speaker 1>running alternatives than for running you know, traditional long only money.

0:15:35.520 --> 0:15:39.280
<v Speaker 2>Well to the point that State Street be shopping, Blackrock

0:15:39.800 --> 0:15:42.400
<v Speaker 2>has been shopping in a big way. I mean they

0:15:42.440 --> 0:15:46.120
<v Speaker 2>bought Prequin for example, that was you know, for data

0:15:46.360 --> 0:15:49.000
<v Speaker 2>Global Infrastructure Partners that finally closed.

0:15:49.160 --> 0:15:50.760
<v Speaker 1>Yeah, by the way, I think I forget it was

0:15:50.800 --> 0:15:52.240
<v Speaker 1>the State Street or something else. But like one of

0:15:52.280 --> 0:15:54.720
<v Speaker 1>the articles is like they're shopping for a private credit

0:15:54.840 --> 0:15:57.640
<v Speaker 1>or infrastructure, but it's like anything at all.

0:15:57.800 --> 0:16:02.120
<v Speaker 2>Yeah, yeah, as long as it's alts. And also maybe

0:16:02.280 --> 0:16:05.040
<v Speaker 2>Blackrock is going to buy HPS. I don't know.

0:16:05.920 --> 0:16:09.400
<v Speaker 1>There's a fascinating story about HBS a while back. Hs

0:16:09.480 --> 0:16:12.160
<v Speaker 1>is like nominally preparing an IPO, but like also shopping

0:16:12.200 --> 0:16:17.160
<v Speaker 1>themselves hard to probably Blackrock. But also like there's talks

0:16:17.200 --> 0:16:20.280
<v Speaker 1>of talk of like JP Morgan is like maybe like yeah,

0:16:20.400 --> 0:16:22.600
<v Speaker 1>like Jamie Diamond, like I think was asked about buying

0:16:22.600 --> 0:16:23.840
<v Speaker 1>a private credit for him and he's like, no, we

0:16:23.880 --> 0:16:25.720
<v Speaker 1>would never do that, and then like came back later

0:16:25.760 --> 0:16:26.840
<v Speaker 1>and it's like my team tells.

0:16:26.600 --> 0:16:30.200
<v Speaker 2>Me we might Yeah, I've been in form Yeah.

0:16:30.240 --> 0:16:32.120
<v Speaker 1>Yeah, Like they're like they're like pulled them back. But

0:16:32.400 --> 0:16:34.120
<v Speaker 1>a lot of ways that HPS could go but one

0:16:34.120 --> 0:16:36.240
<v Speaker 1>of those ways is selling themselves the black Rock for

0:16:36.560 --> 0:16:37.760
<v Speaker 1>an enormous premium.

0:16:37.800 --> 0:16:39.920
<v Speaker 2>This strategy has worked out for black Rock. They have

0:16:40.000 --> 0:16:42.880
<v Speaker 2>like four hundred and fifty billion dollars in alts. At

0:16:42.960 --> 0:16:46.120
<v Speaker 2>least one hundred and sixteen billion dollars is coming from

0:16:46.440 --> 0:16:48.800
<v Speaker 2>GIP for example. So it's a really easy way to

0:16:48.840 --> 0:16:49.400
<v Speaker 2>just scale up.

0:16:50.200 --> 0:16:52.600
<v Speaker 1>Yeah, I mean like scale up, Like you know, it's

0:16:52.680 --> 0:16:55.000
<v Speaker 1>like what like four percent of black Rocks assets, right,

0:16:55.000 --> 0:16:57.920
<v Speaker 1>but it's like the very juicy four percent, right, It's

0:16:57.960 --> 0:16:59.840
<v Speaker 1>like the.

0:16:59.040 --> 0:17:00.800
<v Speaker 2>Four percent that makes a lot of money.

0:17:00.920 --> 0:17:03.160
<v Speaker 1>Yeah, you charge, it makes a lot of the money,

0:17:03.240 --> 0:17:06.119
<v Speaker 1>and it gets a higher multiple, and it's like, yeah,

0:17:06.160 --> 0:17:08.840
<v Speaker 1>it's just like really attractive. And like, you know, saying

0:17:08.840 --> 0:17:11.679
<v Speaker 1>we're a giant index fund provider is just less appealing

0:17:11.720 --> 0:17:13.840
<v Speaker 1>to investors now than saying we're a giant ults provider.

0:17:13.880 --> 0:17:16.560
<v Speaker 2>I have some numbers in your column. You reference this

0:17:16.560 --> 0:17:20.800
<v Speaker 2>Wall Street Journal article that pointed out that Blackrocks market

0:17:20.840 --> 0:17:24.800
<v Speaker 2>cap is similar to those of Blackstone, Apollo, KKR, et cetera,

0:17:24.920 --> 0:17:28.240
<v Speaker 2>even though Blackrock manages like eleven and a half trillion

0:17:29.080 --> 0:17:32.120
<v Speaker 2>and they manage a fraction of that. I wrote about

0:17:32.160 --> 0:17:37.560
<v Speaker 2>this in mid October following BlackRock's earnings, just about how

0:17:37.640 --> 0:17:41.879
<v Speaker 2>much money they make per dollar of AUM. And for Blackrock,

0:17:42.240 --> 0:17:47.760
<v Speaker 2>it's like, according to Bloomberg Intelligence, they have an annualized

0:17:47.800 --> 0:17:52.280
<v Speaker 2>fee rate of fourteen point six basis points. You compare

0:17:52.320 --> 0:17:56.840
<v Speaker 2>that to Apollo, and it's something like fifty two basis points.

0:17:57.320 --> 0:18:01.600
<v Speaker 2>So I would have guessed the higher number for Apollo. Well,

0:18:01.600 --> 0:18:05.720
<v Speaker 2>apparently for Blackstone and KKR and Ares, that figure ranges

0:18:05.720 --> 0:18:09.000
<v Speaker 2>from fifty basis points to like one hundred basis points, right, So.

0:18:09.560 --> 0:18:12.440
<v Speaker 1>Yeah, classically two and twenty right, Yeah, but like it's

0:18:12.480 --> 0:18:17.000
<v Speaker 1>a much, much, much richer fee product. And like a

0:18:17.000 --> 0:18:18.840
<v Speaker 1>lot of the stories about private credit are like, wow,

0:18:18.840 --> 0:18:20.000
<v Speaker 1>there's so much more money in this.

0:18:20.600 --> 0:18:22.080
<v Speaker 2>Oh my gosh.

0:18:22.240 --> 0:18:25.639
<v Speaker 1>This is a Bloomberg article from September Bonus starved bankers

0:18:25.680 --> 0:18:29.120
<v Speaker 1>are a jumping ship for private credit riches. Yeah, why

0:18:29.160 --> 0:18:30.160
<v Speaker 1>wouldn't you do that?

0:18:30.160 --> 0:18:30.840
<v Speaker 2>That makes sense?

0:18:31.080 --> 0:18:33.200
<v Speaker 1>You know, all these like private credit funds are started

0:18:33.200 --> 0:18:35.159
<v Speaker 1>by people who are like you know, lib fin bankers

0:18:35.200 --> 0:18:37.240
<v Speaker 1>at Coldman and like went to start their own funds

0:18:37.400 --> 0:18:39.919
<v Speaker 1>when that was like a somewhat contrariy and move, and

0:18:40.000 --> 0:18:42.879
<v Speaker 1>now they can sell their firms for billions of dollars

0:18:42.680 --> 0:18:43.640
<v Speaker 1>to Blackrock.

0:18:43.840 --> 0:18:45.000
<v Speaker 2>If I could do it, I would.

0:18:45.560 --> 0:18:47.800
<v Speaker 1>It's just like, you know, one thing I write about

0:18:47.800 --> 0:18:51.280
<v Speaker 1>this is like it seems hard to run a private

0:18:51.320 --> 0:18:55.320
<v Speaker 1>credit fund now from the perspective of like being an investor.

0:18:55.560 --> 0:18:57.600
<v Speaker 1>Josh Harris said to David Rubinston the other day that

0:18:57.680 --> 0:18:59.200
<v Speaker 1>like a lot of these alts funds are like the

0:18:59.680 --> 0:19:02.159
<v Speaker 1>beata of aults. Right, private credit like its core is

0:19:02.160 --> 0:19:05.719
<v Speaker 1>like direct lending to leverage biots, And so you are

0:19:05.720 --> 0:19:09.159
<v Speaker 1>in a business of like being friends with twenty private

0:19:09.160 --> 0:19:11.760
<v Speaker 1>equity sponsors, and when they do a biot, they call

0:19:11.840 --> 0:19:13.399
<v Speaker 1>you and they say, would you like to lend us

0:19:13.400 --> 0:19:15.960
<v Speaker 1>the money? And you say yes? Because you say no,

0:19:16.560 --> 0:19:18.760
<v Speaker 1>and they stop calling you, and then you don't have

0:19:19.440 --> 0:19:23.760
<v Speaker 1>the paper to feed your hungry investors. And so there's

0:19:23.800 --> 0:19:26.240
<v Speaker 1>this sense in prior credit that, like, it is hard

0:19:26.240 --> 0:19:29.400
<v Speaker 1>to be a disciplined investor, and it's hard to look

0:19:29.400 --> 0:19:32.600
<v Speaker 1>for value and make do really careful credit work because

0:19:32.600 --> 0:19:34.880
<v Speaker 1>you're essentially in the business of saying yes to every

0:19:34.960 --> 0:19:37.040
<v Speaker 1>buyout that gets offered to you because you just have

0:19:37.080 --> 0:19:39.280
<v Speaker 1>to do deals. But it's a great time to be

0:19:40.200 --> 0:19:42.840
<v Speaker 1>selling your private credit front, right, Yeah, you know, it's

0:19:42.840 --> 0:19:45.119
<v Speaker 1>a huge boom that like any huge room makes it

0:19:45.160 --> 0:19:47.199
<v Speaker 1>hard to be like a careful investor because like you

0:19:47.240 --> 0:19:48.680
<v Speaker 1>have to deploy a lot of money, but like it's

0:19:48.680 --> 0:19:49.800
<v Speaker 1>a great time to be a seller.

0:19:50.000 --> 0:19:53.159
<v Speaker 2>Yeah. I was actually just having this conversation with a

0:19:53.200 --> 0:19:57.520
<v Speaker 2>private credit person, and this person was talking about how

0:19:57.800 --> 0:20:00.679
<v Speaker 2>there's private credit beta right now, and you know you

0:20:00.680 --> 0:20:03.119
<v Speaker 2>have to get more esoteric to find the alpha, et cetera.

0:20:03.280 --> 0:20:05.520
<v Speaker 1>You don't have to find the alpha. You charged two

0:20:05.560 --> 0:20:09.040
<v Speaker 1>percent and you know you judge, you judge fifty vasis points.

0:20:08.840 --> 0:20:10.960
<v Speaker 2>And you can at least this person would like to.

0:20:11.160 --> 0:20:13.919
<v Speaker 1>That's why I'm saying it's hard because like everyone is

0:20:13.960 --> 0:20:17.680
<v Speaker 1>like constitutionally like wants to be doing good deals and

0:20:17.680 --> 0:20:19.840
<v Speaker 1>not doing bad deals. But there's a lot of money

0:20:20.080 --> 0:20:21.520
<v Speaker 1>in doing like private credit paida.

0:20:36.080 --> 0:20:37.760
<v Speaker 2>Let's talk about some trade secrets.

0:20:38.240 --> 0:20:42.240
<v Speaker 1>So there's a Bloomberg story about Shao Xiang, who's the

0:20:42.240 --> 0:20:45.720
<v Speaker 1>founder of Pinestone, which is a big and very successful

0:20:46.000 --> 0:20:49.800
<v Speaker 1>quant fund in China. He was charged criminally in Boston

0:20:50.000 --> 0:20:53.160
<v Speaker 1>Federal Court in Boston for allegedly he had a former

0:20:53.240 --> 0:20:56.080
<v Speaker 1>job at an American asset manager and he like allegedly

0:20:56.119 --> 0:20:58.959
<v Speaker 1>they downloaded all the models. It's like left for Actually

0:20:59.000 --> 0:21:01.119
<v Speaker 1>he left for China and downloaded all the models.

0:21:01.160 --> 0:21:03.240
<v Speaker 2>He was out of the country first, out of the country.

0:21:02.920 --> 0:21:05.239
<v Speaker 1>First, which is smart. There's another story a while back

0:21:05.280 --> 0:21:07.120
<v Speaker 1>about a guy who did the reverse, Like he downloaded

0:21:07.160 --> 0:21:09.680
<v Speaker 1>the models and then he left the country like that night,

0:21:09.960 --> 0:21:11.520
<v Speaker 1>and like by the time he landed, they have them

0:21:11.560 --> 0:21:14.040
<v Speaker 1>to tand and like it. It didn't work out for him.

0:21:14.200 --> 0:21:17.080
<v Speaker 1>But this guy left the country first, wasn't supposed to

0:21:17.080 --> 0:21:19.520
<v Speaker 1>be able to get into his corporate hard drive, but

0:21:19.960 --> 0:21:23.320
<v Speaker 1>right used the VP and to somehow log into work

0:21:23.320 --> 0:21:26.280
<v Speaker 1>from China, which I think is probably not technically feasible

0:21:26.320 --> 0:21:29.080
<v Speaker 1>anymore at most quant firms. But he allegedly did it,

0:21:29.119 --> 0:21:33.159
<v Speaker 1>and he allegedly downloaded all the models, and it's an indictment.

0:21:33.359 --> 0:21:36.680
<v Speaker 1>It's not full of detail. There's a suggestion that he

0:21:36.800 --> 0:21:39.240
<v Speaker 1>used these models to set up his now very successful

0:21:39.320 --> 0:21:41.159
<v Speaker 1>Chinese quand fundt. I don't know if that's even what

0:21:41.160 --> 0:21:43.480
<v Speaker 1>they're charging, but like there's a hint that like these

0:21:43.520 --> 0:21:45.240
<v Speaker 1>things were useful in his subsequent career.

0:21:45.680 --> 0:21:48.760
<v Speaker 2>So well, I would like to know his returns.

0:21:49.520 --> 0:21:50.080
<v Speaker 1>Well, they're great.

0:21:50.600 --> 0:21:53.160
<v Speaker 2>Well, you point out on your column that the US

0:21:53.280 --> 0:21:55.119
<v Speaker 2>market is different than the Chinese market.

0:21:55.480 --> 0:21:57.280
<v Speaker 1>It's very different. You know, there's been a lot of

0:21:57.320 --> 0:22:01.040
<v Speaker 1>stories about like Chinese quand funds getting wrecked in like

0:22:01.520 --> 0:22:04.280
<v Speaker 1>regime changes, where yes, the Chinese governments like oh, you

0:22:04.359 --> 0:22:06.520
<v Speaker 1>like can't bet again stocks or whatever, and like you know,

0:22:06.560 --> 0:22:09.320
<v Speaker 1>your long short fund just that you know, explodes because

0:22:09.359 --> 0:22:11.520
<v Speaker 1>you can't be short anymore. You know. You think of

0:22:11.600 --> 0:22:18.439
<v Speaker 1>like a quant fund stereotypically being trained on some relatively

0:22:18.480 --> 0:22:22.159
<v Speaker 1>recent history and being bad at like adapting to sharp

0:22:22.280 --> 0:22:26.199
<v Speaker 1>changes and like how the world works. Yeah, it's like

0:22:26.200 --> 0:22:30.360
<v Speaker 1>probably an overly simplified stereotype. And like some quant algorithms

0:22:30.359 --> 0:22:32.800
<v Speaker 1>are really good at adjusting to new information, but like

0:22:33.119 --> 0:22:35.120
<v Speaker 1>you know, that's the stereotype, and like it does seem

0:22:35.160 --> 0:22:37.360
<v Speaker 1>hard to run a quant fund that is, like these

0:22:37.400 --> 0:22:39.600
<v Speaker 1>are the returns of going along this basket of stocks

0:22:39.600 --> 0:22:42.000
<v Speaker 1>and going short that basket of stocks, and then like

0:22:42.520 --> 0:22:44.479
<v Speaker 1>you updated for you can't short stocks anymore.

0:22:44.480 --> 0:22:46.840
<v Speaker 2>Like this seems hard, yeah, Or the government comes in

0:22:46.880 --> 0:22:49.200
<v Speaker 2>with like a ton of stimulus and just completely changes

0:22:49.240 --> 0:22:51.720
<v Speaker 2>the narrative, right exactly right, they develop it, which we

0:22:51.760 --> 0:22:52.760
<v Speaker 2>saw a couple of weeks ago.

0:22:53.040 --> 0:22:56.560
<v Speaker 1>It's not necessarily that's right, Like the economic environment can

0:22:56.600 --> 0:23:01.240
<v Speaker 1>change rapidly, and it does seem very hard to deal

0:23:01.280 --> 0:23:02.480
<v Speaker 1>with that, and like there were a lot of quant

0:23:02.480 --> 0:23:05.080
<v Speaker 1>funds that blew up, And as a sort of like

0:23:05.119 --> 0:23:09.639
<v Speaker 1>amateur tourist reading those stories, I'm like the lessons of

0:23:09.640 --> 0:23:12.480
<v Speaker 1>like the sort of classical development of like quantu investing

0:23:12.480 --> 0:23:15.000
<v Speaker 1>in the US might not apply perfectly to China, but

0:23:15.040 --> 0:23:17.679
<v Speaker 1>presumably people know that, right, But it's like, well, they

0:23:17.680 --> 0:23:19.400
<v Speaker 1>stole the code, but like, by the way, his firm

0:23:19.440 --> 0:23:21.080
<v Speaker 1>is doing great if you just stole the card and

0:23:21.080 --> 0:23:23.760
<v Speaker 1>like plugged in like us trading into Chinese markets, Like

0:23:24.400 --> 0:23:26.360
<v Speaker 1>either that worked really well or like there's something we're

0:23:26.400 --> 0:23:26.880
<v Speaker 1>missing there.

0:23:26.920 --> 0:23:29.240
<v Speaker 2>Perhaps he tweaked it a little bit. You could draw

0:23:29.359 --> 0:23:32.240
<v Speaker 2>parallels to another case we've talked about that was Jane

0:23:32.240 --> 0:23:36.400
<v Speaker 2>Street and Millennium's trade secrets. Tell us about the nuances here.

0:23:36.440 --> 0:23:38.399
<v Speaker 1>Well, I mean one thing is like there's actually a

0:23:38.480 --> 0:23:42.800
<v Speaker 1>lot of these cases where the person gets charged criminally.

0:23:43.040 --> 0:23:44.520
<v Speaker 1>I was going to say arrested, but this guy's not

0:23:44.560 --> 0:23:46.320
<v Speaker 1>been arrested because he was out of the country. But

0:23:46.400 --> 0:23:48.800
<v Speaker 1>like the number of them get arrested, you know, like

0:23:48.840 --> 0:23:52.480
<v Speaker 1>the one that is famous as Sergei Atlanikov, who allegedly

0:23:52.520 --> 0:23:56.560
<v Speaker 1>stole code from Goldman Sachs and got arrested and so

0:23:56.840 --> 0:23:59.800
<v Speaker 1>quite a long time in jail before It's like, I

0:23:59.800 --> 0:24:01.959
<v Speaker 1>think his convictions are ultimately overturned, and he was like

0:24:02.200 --> 0:24:03.719
<v Speaker 1>he had kind of a rough go of it. He

0:24:03.760 --> 0:24:07.160
<v Speaker 1>was arrested roughly the time that I left Goldman, And

0:24:07.359 --> 0:24:08.760
<v Speaker 1>although I did not steal any.

0:24:08.600 --> 0:24:11.119
<v Speaker 2>Code, I like, do you want to say that again?

0:24:12.200 --> 0:24:16.080
<v Speaker 1>I did not steal any code, to be clear, but

0:24:16.160 --> 0:24:18.439
<v Speaker 1>I was worried because I was going into media and

0:24:18.480 --> 0:24:19.879
<v Speaker 1>I was like, what if they get mad at me

0:24:19.920 --> 0:24:23.160
<v Speaker 1>and say that I stole code. It's a real time

0:24:23.240 --> 0:24:26.240
<v Speaker 1>of like looked like Goldman could have you put in

0:24:26.280 --> 0:24:27.960
<v Speaker 1>prison if they didn't like you, right, look to me

0:24:28.040 --> 0:24:30.400
<v Speaker 1>like that because I was a parent. Anyway, they put

0:24:30.480 --> 0:24:32.760
<v Speaker 1>him in prison. But like you know, the Jane Street stuff,

0:24:32.760 --> 0:24:34.199
<v Speaker 1>no one's going to get put in prison for a

0:24:34.240 --> 0:24:36.240
<v Speaker 1>variety of reasons, but a big one is like, there's

0:24:36.240 --> 0:24:39.080
<v Speaker 1>no allegation of code stealing, right, There's a difference between

0:24:39.520 --> 0:24:42.959
<v Speaker 1>stealing ideas, which is like a really fuzzy area, right,

0:24:42.960 --> 0:24:47.280
<v Speaker 1>Like Jane Street is like convinced that these traders stole

0:24:47.680 --> 0:24:51.800
<v Speaker 1>a proprietary, complicated trading strategy that was developed with like

0:24:51.920 --> 0:24:55.600
<v Speaker 1>much work and investment at Jane Street and belongs to

0:24:55.680 --> 0:24:59.040
<v Speaker 1>Jane Street, and like Millennium is like, no, these guys

0:24:59.080 --> 0:25:01.000
<v Speaker 1>like you know, they how to trade options and now

0:25:01.040 --> 0:25:03.360
<v Speaker 1>they're trading options for us. There's nothing proprietary about that.

0:25:03.640 --> 0:25:05.520
<v Speaker 1>I think probably the truth of somewhere in between. But

0:25:05.520 --> 0:25:07.840
<v Speaker 1>like even if Chain Street is right, that kind of

0:25:07.880 --> 0:25:10.399
<v Speaker 1>like know how you can get mad, you can get sued,

0:25:10.600 --> 0:25:12.560
<v Speaker 1>you can be like stopped from working at the new firm.

0:25:12.760 --> 0:25:14.520
<v Speaker 1>You like have to pay them back, but you're not

0:25:14.520 --> 0:25:17.040
<v Speaker 1>gonna go to jail for that, probably not legal advice,

0:25:17.440 --> 0:25:20.280
<v Speaker 1>whereas like if you like download code from a VPN, like, yeah,

0:25:20.480 --> 0:25:21.200
<v Speaker 1>you can go to jail.

0:25:21.440 --> 0:25:25.360
<v Speaker 2>Yeah if you're caught, Well, this guy, what's gonna happen

0:25:25.359 --> 0:25:26.840
<v Speaker 2>to him? Because he isn't trya nothing.

0:25:27.400 --> 0:25:30.359
<v Speaker 1>So this is interesting take it back to the US.

0:25:30.359 --> 0:25:31.920
<v Speaker 1>It's like it's like a real consequence.

0:25:32.040 --> 0:25:34.639
<v Speaker 2>Yeah, that is a consequence. Does his firm get to

0:25:34.720 --> 0:25:36.800
<v Speaker 2>keep doing great and using these models?

0:25:37.359 --> 0:25:41.160
<v Speaker 1>There's a widespread assumption that like this stuff decays. Yeah,

0:25:41.520 --> 0:25:43.800
<v Speaker 1>maybe he downloaded like the whole like framework for how

0:25:43.840 --> 0:25:46.119
<v Speaker 1>to build you know, a quantitative trading firm. But like

0:25:46.119 --> 0:25:48.199
<v Speaker 1>that stuff is kind of public domain, you know, to

0:25:48.240 --> 0:25:52.400
<v Speaker 1>the extent he downloaded, like signals, those decay, Like no one,

0:25:52.480 --> 0:25:54.800
<v Speaker 1>no one thinks that like three years after you're stolen

0:25:54.840 --> 0:25:57.080
<v Speaker 1>stuff from your firm, it's still I mean maybe if

0:25:57.119 --> 0:25:59.520
<v Speaker 1>it was renaissance, but like yeah, for the most part,

0:25:59.560 --> 0:26:02.520
<v Speaker 1>like the Stuffycays and so there's like there's this notion

0:26:02.600 --> 0:26:04.679
<v Speaker 1>that like you have to be stopped from using it

0:26:04.720 --> 0:26:06.360
<v Speaker 1>for some period of time, but then after that it's

0:26:06.359 --> 0:26:08.520
<v Speaker 1>probably not worth worrying about. Yeah, Like you see that

0:26:08.560 --> 0:26:11.840
<v Speaker 1>in the Jane Street case where it's like whatever secret

0:26:11.840 --> 0:26:15.880
<v Speaker 1>trade they're doing options in India, but Options in India

0:26:15.920 --> 0:26:17.720
<v Speaker 1>doesn't tell you very much about the trade. Like Jane

0:26:17.720 --> 0:26:21.360
<v Speaker 1>secretal sides out like some very complicated, you know, clever implementation,

0:26:21.920 --> 0:26:24.280
<v Speaker 1>but uh, no one thinks that's going to make one

0:26:24.359 --> 0:26:26.320
<v Speaker 1>hundred million dollars a year forever. You know. Like it's

0:26:26.359 --> 0:26:28.720
<v Speaker 1>like Jane Street had some window in which to use

0:26:28.720 --> 0:26:30.879
<v Speaker 1>that in which to do that trade, and then like

0:26:31.000 --> 0:26:33.119
<v Speaker 1>Millennium butted in and now they you know, have to

0:26:33.160 --> 0:26:36.280
<v Speaker 1>put the profits where the profits go away. Probably that's

0:26:36.280 --> 0:26:39.960
<v Speaker 1>what's happening here. But also I can't be like shooting

0:26:40.000 --> 0:26:44.400
<v Speaker 1>the lights out trading Quantu and China solely with stolen models.

0:26:44.440 --> 0:26:48.040
<v Speaker 2>He's only thirty three, yeah, yeah, and he stole these

0:26:48.040 --> 0:26:51.200
<v Speaker 2>secrets allegedly in twenty twenty one.

0:26:51.560 --> 0:26:53.840
<v Speaker 1>That's the other cool thing is like the indictment says

0:26:53.840 --> 0:26:55.919
<v Speaker 1>that he was an associate and was not responsible for

0:26:55.960 --> 0:27:00.399
<v Speaker 1>these models. Like often you have some dispute about like

0:27:00.440 --> 0:27:05.760
<v Speaker 1>whether the person was like downloading their own work, yeah,

0:27:05.880 --> 0:27:09.080
<v Speaker 1>or but here the implication is kind of like you

0:27:09.160 --> 0:27:11.679
<v Speaker 1>like shut up as an associate, did the training and

0:27:11.680 --> 0:27:13.399
<v Speaker 1>then like downloaded all the models and left. You know,

0:27:13.400 --> 0:27:15.639
<v Speaker 1>there's like your implication that like he was he was

0:27:15.760 --> 0:27:16.960
<v Speaker 1>just taking other people's work.

0:27:17.200 --> 0:27:19.520
<v Speaker 2>This did prompt a response from your readers, as I

0:27:19.600 --> 0:27:20.280
<v Speaker 2>understand it.

0:27:20.520 --> 0:27:23.480
<v Speaker 1>Oh yeah, so I wrote about like the high level

0:27:23.560 --> 0:27:25.439
<v Speaker 1>problems with doing this, right, like if you just download

0:27:25.480 --> 0:27:27.840
<v Speaker 1>code and then go start your own firm, like the

0:27:27.840 --> 0:27:30.399
<v Speaker 1>big problem is that you get arrested. Yeah, it was

0:27:30.440 --> 0:27:32.520
<v Speaker 1>like you know, moving to China like solves that problem.

0:27:32.680 --> 0:27:35.400
<v Speaker 1>But then like a secondary problem is like you're crowding

0:27:35.440 --> 0:27:37.680
<v Speaker 1>a trade that is there's not that much profit in

0:27:37.720 --> 0:27:39.800
<v Speaker 1>it necessarily, so like if you and your your old

0:27:39.800 --> 0:27:42.040
<v Speaker 1>firm are both doing it, like you're both make less money.

0:27:42.640 --> 0:27:44.639
<v Speaker 1>One reader pointed out that actually the biggest problem with

0:27:44.680 --> 0:27:48.760
<v Speaker 1>this because of getting arrested is raising money clients. Yeah,

0:27:48.800 --> 0:27:51.359
<v Speaker 1>because like if you work at a hedge fund and

0:27:51.400 --> 0:27:55.960
<v Speaker 1>you download their code, then like how do you raise money?

0:27:56.080 --> 0:27:58.320
<v Speaker 1>You're like I still could from my old hedge fund,

0:27:58.320 --> 0:28:00.119
<v Speaker 1>Like no one's gonna invest with you that. Or you

0:28:00.119 --> 0:28:01.520
<v Speaker 1>can be like I'm just really smart, I have some

0:28:01.560 --> 0:28:04.000
<v Speaker 1>great ideas, but it's like or you should be.

0:28:03.920 --> 0:28:07.399
<v Speaker 2>Like I'm gonna undercut that hedge fund and I'm going

0:28:07.480 --> 0:28:09.440
<v Speaker 2>to give it to you at a cheaper price, which

0:28:09.520 --> 0:28:11.960
<v Speaker 2>gets us neatly back to farmers' markets.

0:28:12.480 --> 0:28:16.160
<v Speaker 1>It does, but I do think that that pitch, well,

0:28:16.200 --> 0:28:19.879
<v Speaker 1>it might work for garlic, is very bad for a

0:28:19.920 --> 0:28:23.119
<v Speaker 1>hedge fund client, Yeah, because you're just like you're taking

0:28:23.160 --> 0:28:26.919
<v Speaker 1>out a lot of like operational and regulatory and reputational

0:28:27.000 --> 0:28:29.679
<v Speaker 1>risk for like saving some money because like you know,

0:28:30.000 --> 0:28:32.200
<v Speaker 1>like this hedgehund strategy fell off the back of a

0:28:32.200 --> 0:28:33.439
<v Speaker 1>truck and I'll give it to you for cheap. Like

0:28:33.480 --> 0:28:35.400
<v Speaker 1>that thought that's not a good like long term strategy

0:28:35.400 --> 0:28:38.480
<v Speaker 1>for like an endowment. But moving to China and saying, hey,

0:28:38.480 --> 0:28:41.360
<v Speaker 1>we've developed our skills at like a leading US institution

0:28:41.720 --> 0:28:43.560
<v Speaker 1>and now we can apply them to this. It's somewhat

0:28:43.600 --> 0:28:47.640
<v Speaker 1>like less fully efficient market. That's a good pitch. And

0:28:47.680 --> 0:28:49.880
<v Speaker 1>if you're like nudge, nudge, wink wink. Also we stole

0:28:49.920 --> 0:28:54.480
<v Speaker 1>the models like maybe that's a fine touch too, don't Yeah,

0:28:55.280 --> 0:28:56.720
<v Speaker 1>And that was the Money Stuff Podcast.

0:28:56.880 --> 0:28:59.040
<v Speaker 2>I'm Matt Livian and I'm Katie for myself.

0:28:59.240 --> 0:29:01.320
<v Speaker 1>You can find my work by subscribing to The Money

0:29:01.320 --> 0:29:03.880
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0:29:06.240 --> 0:29:09.360
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