WEBVTT - The Case for Custom Indexing

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<v Speaker 1>Welcome our trillance. I'm Joel Webber and I'm Eric bel

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<v Speaker 1>Tunis Eric. We're coming out of summer. There's a topic

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<v Speaker 1>that we've talked about a little bit before, uh, and

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<v Speaker 1>it's one that's sort of parallel to the E t

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<v Speaker 1>F world. And we've got a great, great guest today.

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<v Speaker 1>Who's gonna I hope illuminate a little bit more about it,

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<v Speaker 1>who's joining us and what are we gonna talk about? Yeah, so, uh,

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<v Speaker 1>we got probably the perfect guest for this, Patrick O'Shaughnessy.

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<v Speaker 1>A lot of people know him. He's got one of

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<v Speaker 1>the most popular podcasts called invest like the Best, highly recommended,

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<v Speaker 1>very interesting, great interviewer. I was on at once and

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<v Speaker 1>my Twitter follower account jumped by like five immediately, which

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<v Speaker 1>was like at the time ten percent pop. I had

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<v Speaker 1>never appeared on anything where I got that immediate hit

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<v Speaker 1>on Twitter. So just to give you some idea of

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<v Speaker 1>how the Riachi has now, that's his side gig. His

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<v Speaker 1>main gig is O'Shaughnessy U Asset Management, which is a

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<v Speaker 1>asset manager that it's interesting. I met Patrick behind backstage

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<v Speaker 1>at et f i Q, which is the TV show

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<v Speaker 1>I do, and he had just filed for an e

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<v Speaker 1>t F but then over time decided not to launch

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<v Speaker 1>it and go into direct indexing instead. This is a

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<v Speaker 1>little bit what Morgan Stanley did. A couple issuers started

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<v Speaker 1>to prepare direct indexing platforms. Now for people out there,

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<v Speaker 1>I'll just break it down like this. You know you

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<v Speaker 1>can get music in vinyl, compact discs, cassette tapes, streaming, right,

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<v Speaker 1>there's many ways to get your Bob Dylan's song right,

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<v Speaker 1>same with investing. Right, you've got mutual funds, e t

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<v Speaker 1>f s, and I would say direct indexing, or Patrick

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<v Speaker 1>calls it custom indexing, is sort of one of the

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<v Speaker 1>newer waves, although it's actually an older wave because it's

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<v Speaker 1>it's a separately managed to count where you just own

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<v Speaker 1>all the stocks yourself. And that used to be hard

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<v Speaker 1>for retail because and so institutions did it. But now

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<v Speaker 1>with trading getting cheaper, it's now more available to retail,

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<v Speaker 1>so it's been democratized and it's been that is a

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<v Speaker 1>sort of a wave of the future, and so I

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<v Speaker 1>think it's important to go over this because it is

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<v Speaker 1>an avenue investors have availed to the available to them,

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<v Speaker 1>and it's also a topic we debate on our team

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<v Speaker 1>a lot. How big will this get? And it's a

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<v Speaker 1>it's like E S G in my opinion in terms

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<v Speaker 1>of one of those uh things that isn't No one's

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<v Speaker 1>totally on the same page about some people very bullish,

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<v Speaker 1>some people less so. So I think we should dig

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<v Speaker 1>into the pros and cons and sort of the future

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<v Speaker 1>of this area. Alright, I think you did a pretty

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<v Speaker 1>good uh summary there. We'll see if Patrick takes issue

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<v Speaker 1>with that. So again Patrick O'Shaughnessy, CEO of OSAM, which

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<v Speaker 1>is part of Franklin Templeton, this time on trillions invest

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<v Speaker 1>Like Patrick O'Shaughnessy, Patrick, welcome joints, Joel and Eric. Thanks

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<v Speaker 1>so much for having me. Okay, Patrick, um, I want

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<v Speaker 1>to ask you first and foremost about direct indexing, which

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<v Speaker 1>you call customer indexing. Why why does the world need that? Well,

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<v Speaker 1>I think it's important to define the difference between direct

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<v Speaker 1>and custom indexing. Direct indexing, as Eric points out, as

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<v Speaker 1>is quite old. It's been around for decades. I think

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<v Speaker 1>it is a very simple, uh product. You take whatever

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<v Speaker 1>exposure you want, let's say it's the SP five. You

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<v Speaker 1>own all or most of the stocks directly in a

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<v Speaker 1>separate account for each investor, and you trade those stocks

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<v Speaker 1>to generate tax losses, which become an asset to the investor,

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<v Speaker 1>which is possible because of the separate accounts. So the

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<v Speaker 1>separate account is the key sort of vehicle. But the

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<v Speaker 1>strategy is really deliver the SMP five returns effectively, but

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<v Speaker 1>give me this extra asset of tax losses that I

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<v Speaker 1>can use to offset gains elsewhere. You might call this

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<v Speaker 1>tax alpha. There's a lot of different terms for it,

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<v Speaker 1>and that's the strategy. That's it, And you're not trying

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<v Speaker 1>to do anything else, and you're not trying to outperform

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<v Speaker 1>the index. You're not trying to do anything customer specialized. Uh,

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<v Speaker 1>you just are getting exposure plus this tax boost. Custom

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<v Speaker 1>indexing is something that I think has only been made

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<v Speaker 1>possible and we were the first to do it. We

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<v Speaker 1>came up with that term custom indexing in the last

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<v Speaker 1>three or four years because of software and technology. So

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<v Speaker 1>what custom indexing brings to the table is a million

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<v Speaker 1>other considerations that each investor might have, preferences, circumstances, attack

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<v Speaker 1>situation that's different than than others, which can be accommodated

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<v Speaker 1>in the strategy itself. So whereas direct indexing is very

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<v Speaker 1>much one size fits all, custom indexing is one size

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<v Speaker 1>fits one, which is enabled by technology. And obviously we

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<v Speaker 1>can go into it to see how people use this

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<v Speaker 1>because we've got the data. We've got you know, nearly

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<v Speaker 1>two thousand accounts that have been open a bit north

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<v Speaker 1>of three billion dollars managed to the platform today, so

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<v Speaker 1>we can tell you, you you know, how people use this

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<v Speaker 1>to customize. But I do think that, like anything interesting,

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<v Speaker 1>it's something enabled by relatively new technology and allows things

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<v Speaker 1>to be much more tailored to the individual versus you know,

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<v Speaker 1>just give me the SMP. Okay, so you're like a

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<v Speaker 1>civilo tailor, but with with better scissors, uh for a

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<v Speaker 1>terrible comparison technology, enhanced scissors maybe. UM. But I'm curious

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<v Speaker 1>in part because we talked to a lot of people

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<v Speaker 1>who are in the E t F world and look

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<v Speaker 1>at E t F S as like a great technology,

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<v Speaker 1>and you basically kind of like looked in the headlights

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<v Speaker 1>of the E t S and we're like, I'm gonna

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<v Speaker 1>do something different than that. Why and how do you

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<v Speaker 1>feel about E t F. So I guess there's there's

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<v Speaker 1>there's two angles on this, both of which matter. H

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<v Speaker 1>One is the business angle from our perspective, and two

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<v Speaker 1>is the investing angle from the customer's perspective, So I'll

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<v Speaker 1>touch on both. When we filed for that e t F,

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<v Speaker 1>it was because we wanted to do something more accessible

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<v Speaker 1>than what we had done in the past, and e

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<v Speaker 1>t f s were obviously big and growing and remain

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<v Speaker 1>big and growing. But when we stared at this from

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<v Speaker 1>a business competition standpoint, it kind of looked like the

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<v Speaker 1>worst possible scenario you could imagine in business. There was

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<v Speaker 1>effectively unlimited competition. You felt like we were entering a

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<v Speaker 1>pure commodity game. You're entering a pure price war where

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<v Speaker 1>you're just there's no there is no pricing power, you're

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<v Speaker 1>a price taker. There's insane competition for mind share and

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<v Speaker 1>pre exist sting, you know, guerrillas. It just sort of

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<v Speaker 1>felt like, this is the worst This is actually the

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<v Speaker 1>worst idea we've ever had. Um and hold Joel, Joel,

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<v Speaker 1>that is exactly why I call it the terror Dome.

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<v Speaker 1>It is brutal. It really is. Uh he just described it.

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<v Speaker 1>I can I can understand that that take takes a

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<v Speaker 1>tardom that feels like buying lottery tickets like some some

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<v Speaker 1>payoff right. There are some et F franchises that come

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<v Speaker 1>from nowhere, you know, ARC is the prime example, and

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<v Speaker 1>become huge and great businesses. But the number of dead

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<v Speaker 1>uh in that battlefield is insane. And so as we

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<v Speaker 1>as I, as we and I got deeper into that consideration,

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<v Speaker 1>we just thought, this is just a terrible idea, uh,

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<v Speaker 1>but we still want to apply. We were technology experts.

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<v Speaker 1>We had built all this technology for our own purposes

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<v Speaker 1>as quantitative factor investors for years, for for a decade,

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<v Speaker 1>and we started to ask the question, how could we

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<v Speaker 1>take what we've built for our own purposes and effectively

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<v Speaker 1>turn it over to others. Very inspired by the Amazon

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<v Speaker 1>Web Services story. In fact, I spent a lot of

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<v Speaker 1>personal time with executives. They're understanding how they did that,

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<v Speaker 1>taking something they had built for the retail business and

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<v Speaker 1>repurposing it as a general technology. And we came up

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<v Speaker 1>with this idea of custom indexing, which was to say,

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<v Speaker 1>take the tools we've built to build our own strategies

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<v Speaker 1>and do whatever you want with them. You know, blend

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<v Speaker 1>passive and active factor exposure in whatever ratios you want,

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<v Speaker 1>add custom filters, add add overweights to certain things that

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<v Speaker 1>you care more about. Incorporate you know, something like a

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<v Speaker 1>low basis concentrated stock position into your portfolio and let

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<v Speaker 1>us work around it in a tax advantaged way. Um.

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<v Speaker 1>We found very quickly people care a lot about taxes,

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<v Speaker 1>and they care about more than just tax alpha earned

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<v Speaker 1>through loss harvesting. They care about managing their taxes overall

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<v Speaker 1>with the use of their portfolio. And we saw all

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<v Speaker 1>these use cases people just sort of clawing them out

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<v Speaker 1>of us. UM. So really early on. I have this

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<v Speaker 1>theory now that uh, in business, for a new product,

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<v Speaker 1>something that's gonna work tends to work really fast. You

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<v Speaker 1>tend to see a pool of demand that was unmet

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<v Speaker 1>that people are ravenous for. And our early experiences with

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<v Speaker 1>Canvas the platform was that basically everybody said yes like

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<v Speaker 1>our our our hit rate on a demo of software

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<v Speaker 1>was basically everyone buying it more or less on the spot.

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<v Speaker 1>And most of those early partners have scaled, you know,

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<v Speaker 1>tremendously with us with tons of assets on the platform.

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<v Speaker 1>And so I think I think this latent demand for customization,

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<v Speaker 1>especially around really two things deep customization of taxes beyond

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<v Speaker 1>loss harvesting and back to your question of why people

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<v Speaker 1>need this and UH, customization of the blend between passive

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<v Speaker 1>and active factor exposures so that you don't have to

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<v Speaker 1>choose the E t F that has you know, whatever

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<v Speaker 1>values have any five percent passive you can you can

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<v Speaker 1>build your own. UH. And we see tremendous variation on

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<v Speaker 1>those two dimensions across the platform. UM, let's explore the

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<v Speaker 1>tax ALFHA I think for people out there, we've said

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<v Speaker 1>that word and tax less harvesting. Just explain this right,

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<v Speaker 1>so UM I would I'll talk about how the mutual

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<v Speaker 1>fund and et F works, and then you can do

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<v Speaker 1>the custom indexing in a mutual fund. Unfortunately, you get

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<v Speaker 1>a tax bill even if you're just sitting there. It's

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<v Speaker 1>probably the worst case scenario of all the structures because

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<v Speaker 1>the manager has to sell stocks to meet people leaving

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<v Speaker 1>the fund. That generates a taxable event that people sitting

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<v Speaker 1>there now have a capital gains distribution. The E t

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<v Speaker 1>F kind of solved for that. You don't get those

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<v Speaker 1>tax distributions. You you pay taxes when you sell it. UH,

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<v Speaker 1>and that really is a big deal for taxable accounts.

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<v Speaker 1>That's i'd say a top three advantage of the E

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<v Speaker 1>t F custom index, saying tries to take this even further,

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<v Speaker 1>and I'll I'll let Patrick describe it, but explain how

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<v Speaker 1>that tax alpha works relative to maybe the E T

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<v Speaker 1>F or selling. I think it's important to highlight limitations

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<v Speaker 1>of this approach to which is you need fairly low

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<v Speaker 1>turnover strategies for tax alpha to be a thing and

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<v Speaker 1>to work. Like you're never if you want a momentum

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<v Speaker 1>factor exposure, which is a strategy that turns out over

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<v Speaker 1>a lot like you should just buy any TF like that,

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<v Speaker 1>There's no way that turnover strategy is ever going to

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<v Speaker 1>have a tax alpha advantage on top of the ALP

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<v Speaker 1>the potential for excess return advantage from the factor. So

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<v Speaker 1>what that crossover point is probably like annual turnover something

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<v Speaker 1>like that. So we're really talking about low turnover strategies

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<v Speaker 1>here when we're talking about the potential tax advantage of

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<v Speaker 1>pure loss harvesting. I think there are other tax advantages

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<v Speaker 1>we can talk about that are independent of turnover, but

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<v Speaker 1>the famous one loss harvesting. You know, you need a

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<v Speaker 1>low turnover strategy. So that's that's the first, I think

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<v Speaker 1>key important point. But the concept itself is honestly pretty straightforward.

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<v Speaker 1>Let's just imagine a you know, a pair of you know,

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<v Speaker 1>all the car companies. Let's say they're all owned in

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<v Speaker 1>the sp they have similar characteristics. They tend to have

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<v Speaker 1>decently high correlation with one another. UM. One thing you

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<v Speaker 1>can do is monitor of the portfolio. We do it

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<v Speaker 1>on a daily basis and basically say, okay, what positions

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<v Speaker 1>that we've bought for this investor are trading at some

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<v Speaker 1>sort of loss where we can do a trade book

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<v Speaker 1>that loss, which is a taxable loss, and reinvest the

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<v Speaker 1>proceeds in a basket of securities which have conceptually similar

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<v Speaker 1>profiles as the one that we sold, so that our

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<v Speaker 1>overall exposure to the SMP five remains very constant. The

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<v Speaker 1>technical term for this would be tracking er. So we

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<v Speaker 1>have a tracking your budget. We can't get too different

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<v Speaker 1>than the underlying benchmark as we do this. If the

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<v Speaker 1>tracking your budget was really large, which is one of

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<v Speaker 1>the things that we allow on the platform because sometimes

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<v Speaker 1>people don't. Sometimes people say I have a huge gain,

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<v Speaker 1>I want to offset it generate as much loss as

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<v Speaker 1>humanly possible. I don't give a crap if I track

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<v Speaker 1>the SMP five hundred this year. That's something that traditional

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<v Speaker 1>direct indextors don't allow for but we see it happen. Um,

0:11:44.960 --> 0:11:47.640
<v Speaker 1>if you tracking your budget was five, which is huge,

0:11:48.280 --> 0:11:50.360
<v Speaker 1>we can generate a lot more losses. If it's one,

0:11:50.440 --> 0:11:52.880
<v Speaker 1>which is sort of the standard tracking our budget of one,

0:11:53.320 --> 0:11:55.560
<v Speaker 1>you're you're highly constrained. You can't do too much of

0:11:55.559 --> 0:11:59.000
<v Speaker 1>it because you start to stray from the underlying index itself.

0:11:59.120 --> 0:12:01.880
<v Speaker 1>So UM, that's the concept is you sell stuff that's

0:12:01.880 --> 0:12:04.719
<v Speaker 1>had a lost reinvested in similar stuff so that your

0:12:04.800 --> 0:12:09.000
<v Speaker 1>overall exposure remains fairly constant, and you you track pretty

0:12:09.000 --> 0:12:11.240
<v Speaker 1>tightly with the with the underlying index that you've chosen,

0:12:11.440 --> 0:12:14.719
<v Speaker 1>but you've generated this loss along the way. Um, And look,

0:12:14.760 --> 0:12:17.680
<v Speaker 1>there are drawbacks to this. I think as you mature

0:12:18.000 --> 0:12:21.120
<v Speaker 1>a single account, Let's say you know, you invest in

0:12:22.600 --> 0:12:24.520
<v Speaker 1>million dollars into an s m A and do this

0:12:24.559 --> 0:12:27.839
<v Speaker 1>loss harvesting over time, as markets tend to go up,

0:12:28.120 --> 0:12:30.920
<v Speaker 1>your opportunity for lost harvesting is very dependent on the

0:12:30.920 --> 0:12:33.440
<v Speaker 1>market environment that you're in. So markets straight up into

0:12:33.480 --> 0:12:35.200
<v Speaker 1>the right this isn't going to be as good as

0:12:35.200 --> 0:12:37.280
<v Speaker 1>a strategy. And one of the things that we found

0:12:37.840 --> 0:12:40.600
<v Speaker 1>when we launched was that, frankly, we thought the benefits

0:12:40.640 --> 0:12:43.880
<v Speaker 1>of tax less harvesting were somewhat overstated. You'd see, you know,

0:12:43.920 --> 0:12:47.480
<v Speaker 1>benefits like two d basis points of excess return, which

0:12:47.720 --> 0:12:49.800
<v Speaker 1>we just could We actually had a crisis of confidence.

0:12:49.800 --> 0:12:51.960
<v Speaker 1>We couldn't replicate this. We thought we were going we

0:12:51.960 --> 0:12:54.280
<v Speaker 1>were driving ourselves crazy, and then we when you dig

0:12:54.280 --> 0:12:57.000
<v Speaker 1>into the methodology of others, you realize, oh, they picked

0:12:57.000 --> 0:12:59.440
<v Speaker 1>like the absolute best ten year period. They haven't done

0:12:59.440 --> 0:13:01.760
<v Speaker 1>a bunch of that. Um They've made the best possible

0:13:01.800 --> 0:13:05.440
<v Speaker 1>assumptions on the tax law and what's usable and how

0:13:05.480 --> 0:13:08.200
<v Speaker 1>much offsetting gain you'll have to to actually be able

0:13:08.200 --> 0:13:11.599
<v Speaker 1>to capture that benefit. Um So, we saw very rosy

0:13:11.640 --> 0:13:14.600
<v Speaker 1>assumptions behind that number. But even with our we think

0:13:14.640 --> 0:13:17.920
<v Speaker 1>more conservative assumptions, we saw like seventy eight basis points

0:13:17.920 --> 0:13:21.600
<v Speaker 1>of annual pick up over just the what we call

0:13:21.640 --> 0:13:24.080
<v Speaker 1>the e t F equivalent, so buying s p y,

0:13:24.200 --> 0:13:26.480
<v Speaker 1>holding it, selling it, paying the tax at the end

0:13:27.000 --> 0:13:29.280
<v Speaker 1>versus doing it along the way as as you do

0:13:29.320 --> 0:13:32.240
<v Speaker 1>in in custom indexing. UM. So, we just think there's

0:13:32.240 --> 0:13:35.920
<v Speaker 1>a huge obvious long term benefit. It is is that

0:13:36.040 --> 0:13:38.760
<v Speaker 1>seven year eighty basis points like an annualized number over

0:13:38.840 --> 0:13:41.320
<v Speaker 1>ten years, or just how how much does it vary

0:13:41.360 --> 0:13:45.880
<v Speaker 1>its annualized over ten year holding periods, and uh, it

0:13:46.000 --> 0:13:49.080
<v Speaker 1>is the average of lots of vintages, So there's lots

0:13:49.080 --> 0:13:51.120
<v Speaker 1>of senior periods in history that we can study this on.

0:13:51.200 --> 0:13:52.840
<v Speaker 1>Like I said, most of the other studies pick one

0:13:52.880 --> 0:13:55.280
<v Speaker 1>that starts in like oh nine or oh eight or

0:13:55.280 --> 0:13:58.040
<v Speaker 1>oh seven when you have obvious, like huge upfront losses

0:13:58.080 --> 0:14:00.400
<v Speaker 1>that you can be booking. So it looks really good.

0:14:00.800 --> 0:14:03.640
<v Speaker 1>The range is pretty wide, Like there's ten year periods

0:14:03.760 --> 0:14:07.280
<v Speaker 1>where there's effectively zero net benefit to doing this. UM,

0:14:07.280 --> 0:14:11.160
<v Speaker 1>there's negative We didn't observe a negative one, so uh,

0:14:11.360 --> 0:14:13.559
<v Speaker 1>zero was sort of the lower bound, and like two

0:14:14.120 --> 0:14:17.120
<v Speaker 1>something was like the upper bound. So obviously we don't

0:14:17.200 --> 0:14:19.320
<v Speaker 1>know we we don't control the market, so we don't

0:14:19.320 --> 0:14:20.960
<v Speaker 1>know which of the which we're in that range it

0:14:21.000 --> 0:14:24.120
<v Speaker 1>will fall. Seven year eighty was sort of the average UM.

0:14:24.200 --> 0:14:26.560
<v Speaker 1>But we think that's a pretty darn good trade, especially

0:14:26.560 --> 0:14:29.200
<v Speaker 1>when you layer on all the other customization benefits that

0:14:29.520 --> 0:14:32.840
<v Speaker 1>basically everyone uses. So I mean, I'm curious, you're now

0:14:32.960 --> 0:14:36.880
<v Speaker 1>part of Franklin Templeton and that merger happened almost a

0:14:36.960 --> 0:14:40.720
<v Speaker 1>year ago, right, so yeah, so how did that? How

0:14:40.760 --> 0:14:43.160
<v Speaker 1>did that come together and why did you decide to

0:14:43.240 --> 0:14:45.800
<v Speaker 1>link up with someone? Ye, so uh to rewind time,

0:14:46.000 --> 0:14:49.200
<v Speaker 1>this was called April of two thousand and twenty one

0:14:49.760 --> 0:14:52.960
<v Speaker 1>of last year, we got a call from Franklin. We

0:14:52.960 --> 0:14:55.440
<v Speaker 1>weren't trying to sell the business. We weren't running any

0:14:55.440 --> 0:14:58.960
<v Speaker 1>sort of process or anything. We got a really memorable

0:14:58.960 --> 0:15:01.640
<v Speaker 1>call I did from a guy named Roger Paradiso at

0:15:01.640 --> 0:15:04.480
<v Speaker 1>Franklin Templeton who is now the executive chairman and sort

0:15:04.480 --> 0:15:08.520
<v Speaker 1>of the person responsible for OSAM at Franklin Templeton's he's

0:15:08.560 --> 0:15:13.240
<v Speaker 1>osam's executive chairman now. And UH, Roger basically said, we

0:15:13.320 --> 0:15:16.920
<v Speaker 1>have been doing research on these platforms like yours for

0:15:17.000 --> 0:15:19.760
<v Speaker 1>a long time. We think that the one you've built

0:15:19.800 --> 0:15:21.800
<v Speaker 1>is the best, and we want to we want to

0:15:21.840 --> 0:15:25.800
<v Speaker 1>partner with you. And he he actually knew more about

0:15:26.040 --> 0:15:29.960
<v Speaker 1>Canvas on that first call, having never talked to us

0:15:30.400 --> 0:15:33.240
<v Speaker 1>than probably anyone that I had ever talked to about

0:15:33.280 --> 0:15:35.920
<v Speaker 1>the platform outside of our firm um. So it was

0:15:35.920 --> 0:15:38.880
<v Speaker 1>clear they had done their homework and understood what we

0:15:38.920 --> 0:15:42.160
<v Speaker 1>think of as this huge market opportunity and for a

0:15:42.160 --> 0:15:45.040
<v Speaker 1>new category that we had created. And UH, it moved

0:15:45.160 --> 0:15:47.480
<v Speaker 1>very quickly from there. I actually was in California. I

0:15:47.520 --> 0:15:49.960
<v Speaker 1>flew back, I completely cut my trip off, flew back

0:15:50.000 --> 0:15:53.440
<v Speaker 1>the next day, hiked with Roger for hours in the

0:15:53.520 --> 0:15:55.800
<v Speaker 1>local woods, which is something I like to do, and

0:15:56.040 --> 0:15:58.880
<v Speaker 1>got to know each other very quickly, and it unfolded

0:15:58.920 --> 0:16:00.920
<v Speaker 1>from there. We didn't, you know, we run like a

0:16:01.000 --> 0:16:03.960
<v Speaker 1>process like it just it was clear that they wanted

0:16:04.080 --> 0:16:06.880
<v Speaker 1>us for very good reasons and that they brought to

0:16:06.920 --> 0:16:10.240
<v Speaker 1>the table effectively all the things that we didn't have. So,

0:16:10.360 --> 0:16:13.320
<v Speaker 1>you know, we we had been a relatively small boutique

0:16:13.320 --> 0:16:17.040
<v Speaker 1>firm um for twelve years or so at that time,

0:16:17.560 --> 0:16:20.560
<v Speaker 1>and uh, we had a two and a half person

0:16:21.040 --> 0:16:24.960
<v Speaker 1>sales team, which is not big. And while while those

0:16:24.960 --> 0:16:26.880
<v Speaker 1>two and a half, you know, I think we're the

0:16:26.880 --> 0:16:29.440
<v Speaker 1>equivalent of like seven or ten normal sales people, they

0:16:29.440 --> 0:16:32.440
<v Speaker 1>were incredible. There's only so much hours in the day.

0:16:32.760 --> 0:16:34.920
<v Speaker 1>And we had hit upon this new thing that that

0:16:35.440 --> 0:16:37.280
<v Speaker 1>you know, we had never been a big sales organization.

0:16:37.400 --> 0:16:39.960
<v Speaker 1>We frankly didn't know how to scale a sales organization.

0:16:40.400 --> 0:16:42.720
<v Speaker 1>And Franklin, with a trillion and a half of assets

0:16:42.800 --> 0:16:45.680
<v Speaker 1>under management or whatever it is, had one of the

0:16:45.800 --> 0:16:49.400
<v Speaker 1>you know, most scaled up distribution forces with relationships everywhere

0:16:49.520 --> 0:16:52.480
<v Speaker 1>in our entire industry, and that to us felt like

0:16:52.560 --> 0:16:55.120
<v Speaker 1>sort of a match made in heaven um. And indeed,

0:16:55.120 --> 0:16:56.880
<v Speaker 1>that's you know, what we've seen so far is that

0:16:57.200 --> 0:16:59.520
<v Speaker 1>they bring a bazooka to the knife fight that we

0:16:59.520 --> 0:17:02.800
<v Speaker 1>were fighting. And we're only peter or nine months into this,

0:17:02.840 --> 0:17:05.399
<v Speaker 1>so it's it's still fresh and new. But that's the

0:17:05.440 --> 0:17:16.000
<v Speaker 1>story behind the partnership. I was at Franklin Templeton about

0:17:16.040 --> 0:17:18.359
<v Speaker 1>three months ago. I took a trip to sand France,

0:17:18.400 --> 0:17:20.440
<v Speaker 1>so a bunch of clients went went out there. Did

0:17:20.440 --> 0:17:24.040
<v Speaker 1>you wasn't it interesting how they share a campus with roadblocks,

0:17:25.160 --> 0:17:27.479
<v Speaker 1>So you've got these sort of like this asset manager

0:17:27.520 --> 0:17:30.480
<v Speaker 1>guys walking around and then you've got these like roadblocks

0:17:30.520 --> 0:17:34.440
<v Speaker 1>employees like mixed together. I thought it was interesting. It's

0:17:34.440 --> 0:17:37.400
<v Speaker 1>a great obviously get the best weather out there as well,

0:17:37.440 --> 0:17:39.920
<v Speaker 1>but it's I was I didn't realize. I'm a student

0:17:39.960 --> 0:17:42.159
<v Speaker 1>of asset management as a as an industry and as

0:17:42.160 --> 0:17:45.040
<v Speaker 1>a business. I find it sort of endlessly fascinating. It's

0:17:45.080 --> 0:17:47.600
<v Speaker 1>where I spent my whole career, so both in the

0:17:47.640 --> 0:17:49.520
<v Speaker 1>public and now for me on the private side too

0:17:49.760 --> 0:17:53.080
<v Speaker 1>with a venture capital firm that I run. But but

0:17:53.240 --> 0:17:59.119
<v Speaker 1>the the technology interest and actions of the big asset

0:17:59.119 --> 0:18:02.639
<v Speaker 1>managers has always intrigued me. And what we saw with

0:18:02.680 --> 0:18:06.440
<v Speaker 1>Franklin was a clear commitment. And it's a family owned

0:18:06.440 --> 0:18:09.080
<v Speaker 1>and run firm in many ways, right the Johnson family

0:18:09.440 --> 0:18:11.560
<v Speaker 1>is the controlling shareholder still frankly, even though it's a

0:18:11.560 --> 0:18:14.439
<v Speaker 1>publicly traded stock with sort of a rich history of

0:18:14.520 --> 0:18:17.800
<v Speaker 1>long term decision making. And I think good long term

0:18:17.800 --> 0:18:21.600
<v Speaker 1>decision making often comes back to investments in technology, and

0:18:21.600 --> 0:18:24.439
<v Speaker 1>and we felt that on the receiving end of that,

0:18:24.560 --> 0:18:27.040
<v Speaker 1>really the attention and the focus, let's say, in the

0:18:27.080 --> 0:18:31.720
<v Speaker 1>due diligence process, uh, Franklin onto Us was was crazy

0:18:31.840 --> 0:18:34.480
<v Speaker 1>deep dives into what we had built, which we loved

0:18:34.480 --> 0:18:36.400
<v Speaker 1>because we've been building it for twelve years. Real, I mean,

0:18:36.520 --> 0:18:38.639
<v Speaker 1>Canvas in many ways is like a new layer on

0:18:38.760 --> 0:18:40.880
<v Speaker 1>top of technology we've been working on for a long

0:18:40.920 --> 0:18:44.159
<v Speaker 1>long time. We'd always had much bigger headcounts and technology

0:18:44.160 --> 0:18:46.880
<v Speaker 1>than than our peers, and uh, I think the best

0:18:46.880 --> 0:18:48.680
<v Speaker 1>firms are committed to that sort of thing. And so

0:18:49.080 --> 0:18:52.000
<v Speaker 1>the headquarters being you know, on the same campus or

0:18:52.080 --> 0:18:53.880
<v Speaker 1>right next to road Blocks and and many other firms

0:18:53.960 --> 0:18:56.959
<v Speaker 1>lic ROA Blocks. I think it's fascinating and more than

0:18:57.000 --> 0:18:58.720
<v Speaker 1>I could say for a lot of the more East

0:18:58.720 --> 0:19:04.160
<v Speaker 1>Coast mindset set managers. One thing that's important to note

0:19:04.160 --> 0:19:07.600
<v Speaker 1>here there has been a total trend of big asset

0:19:07.640 --> 0:19:13.040
<v Speaker 1>managers buying direct indexing and customer indexing platforms, namely Morgan

0:19:13.119 --> 0:19:16.239
<v Speaker 1>Stanley with Parametric. Just curious if your take on that

0:19:16.320 --> 0:19:20.680
<v Speaker 1>deal or I believe black Rock bought on perio UM.

0:19:20.840 --> 0:19:23.520
<v Speaker 1>I mean, I'm assuming you're out there kind of selling

0:19:23.560 --> 0:19:26.520
<v Speaker 1>against those other shops. I mean, do you have any

0:19:26.760 --> 0:19:30.520
<v Speaker 1>you know, comment on the other compos I think the

0:19:31.080 --> 0:19:33.200
<v Speaker 1>most of the deals that you've seen that are huge,

0:19:33.240 --> 0:19:36.280
<v Speaker 1>that are very big, Parametric and Imperio being big deals,

0:19:36.280 --> 0:19:39.720
<v Speaker 1>big M and A deals in in that world. Those

0:19:39.720 --> 0:19:42.200
<v Speaker 1>firms are excellent firms. They've been around a long time.

0:19:42.680 --> 0:19:46.120
<v Speaker 1>They do more traditional direct indexing UM. Maybe with some

0:19:46.240 --> 0:19:49.560
<v Speaker 1>templated customization you can pick a few colors, not just

0:19:49.640 --> 0:19:52.639
<v Speaker 1>black and you know the model t joke. But more

0:19:52.680 --> 0:19:56.639
<v Speaker 1>or less they're direct indexing firms. Uh. The interface between

0:19:56.760 --> 0:20:00.000
<v Speaker 1>customer and firm is not a soft web based software

0:20:00.000 --> 0:20:02.600
<v Speaker 1>a layer, and I'm sure that those firms will trend

0:20:02.680 --> 0:20:05.480
<v Speaker 1>in that direction. UM. But it's one thing to build

0:20:05.480 --> 0:20:07.840
<v Speaker 1>from scratch with that is your intention, and it's another

0:20:07.880 --> 0:20:10.000
<v Speaker 1>to lay one on top of a you know, very

0:20:10.080 --> 0:20:14.480
<v Speaker 1>mechanical turkey operations heavy business, which is I think I

0:20:14.520 --> 0:20:16.080
<v Speaker 1>don't want to speak out of turn. I don't know

0:20:16.080 --> 0:20:19.480
<v Speaker 1>those businesses intimately well, but I think the M and

0:20:19.520 --> 0:20:21.720
<v Speaker 1>A you've seen there, and then you've also seen some

0:20:21.760 --> 0:20:24.679
<v Speaker 1>of the younger technology companies that really didn't get distribution

0:20:25.320 --> 0:20:27.520
<v Speaker 1>but built interesting technology have been brought up to by

0:20:27.560 --> 0:20:30.560
<v Speaker 1>these asset managers. And I think the trend is kind

0:20:30.560 --> 0:20:34.520
<v Speaker 1>of obvious, which is platform shifts matter. If you missed

0:20:34.520 --> 0:20:36.960
<v Speaker 1>E T f S as a big asset management firm,

0:20:37.119 --> 0:20:41.600
<v Speaker 1>you lost. I mean you could. You cannot miss major

0:20:41.640 --> 0:20:45.040
<v Speaker 1>platform shifts as a big incumbent. Go study Facebook transition

0:20:45.119 --> 0:20:47.439
<v Speaker 1>to mobile. That's kind of the best example of this,

0:20:47.520 --> 0:20:49.840
<v Speaker 1>Like they ultimately got it right, but initially it was

0:20:49.920 --> 0:20:53.800
<v Speaker 1>kind of a kind of a crap show, and it's

0:20:53.840 --> 0:20:57.080
<v Speaker 1>just critical. You cannot miss a major change. And so

0:20:57.119 --> 0:21:01.440
<v Speaker 1>if if s M a chassis custom and direct indexing

0:21:02.359 --> 0:21:06.800
<v Speaker 1>is the next, you know, major winds changing category. I

0:21:06.800 --> 0:21:09.560
<v Speaker 1>think all the big firms recognized this, and even if

0:21:09.560 --> 0:21:12.480
<v Speaker 1>they're wrong, to be fair, they still have to make

0:21:12.520 --> 0:21:14.840
<v Speaker 1>the bat they've got to have a player in the hunt.

0:21:14.920 --> 0:21:18.600
<v Speaker 1>So I think that's what's driving it. Here's where I

0:21:18.680 --> 0:21:21.800
<v Speaker 1>debate my team others in the industry on custom indexing

0:21:21.800 --> 0:21:26.360
<v Speaker 1>and direct indexing. I agree. I know, especially advisors tell

0:21:26.359 --> 0:21:28.800
<v Speaker 1>me some of their clients hate taxes and this really

0:21:29.440 --> 0:21:31.960
<v Speaker 1>everyone held some tax run and I can see and

0:21:32.000 --> 0:21:36.320
<v Speaker 1>everyone does. Yeah, ultra high net worth types. Um, you know,

0:21:36.359 --> 0:21:39.640
<v Speaker 1>I get the use case. I see this more as

0:21:39.840 --> 0:21:45.959
<v Speaker 1>not a game changer, but a sort of new pass

0:21:46.040 --> 0:21:49.560
<v Speaker 1>option for people not like so it was positioned sometimes

0:21:49.600 --> 0:21:51.679
<v Speaker 1>as the E T F killer, and I the reason

0:21:51.800 --> 0:21:55.840
<v Speaker 1>I am slightly I'm not bearished embarrassed versus the hype

0:21:55.840 --> 0:21:58.280
<v Speaker 1>that like that kind of hype. And here's why. And

0:21:58.320 --> 0:22:00.440
<v Speaker 1>I want to get your take on this. Over the

0:22:00.480 --> 0:22:03.600
<v Speaker 1>past twenty years thirty even, we've seen a trend towards

0:22:03.640 --> 0:22:08.119
<v Speaker 1>three things, cheap, passive, and simple. This does kind of

0:22:08.119 --> 0:22:11.400
<v Speaker 1>try to reverse all three of those, and I think

0:22:11.440 --> 0:22:15.680
<v Speaker 1>that's why. Unless you're really into the tax part of it,

0:22:15.880 --> 0:22:18.840
<v Speaker 1>or really a hardcore E s G person, I can

0:22:18.880 --> 0:22:21.840
<v Speaker 1>see that use case. It doesn't seem like it's going

0:22:21.880 --> 0:22:24.200
<v Speaker 1>to be able to dislodge a lot of the cheap

0:22:24.600 --> 0:22:26.680
<v Speaker 1>beta E t f s and index funds that we've

0:22:26.680 --> 0:22:29.760
<v Speaker 1>seen in the core of portfolios over the past thirty years. Um,

0:22:30.040 --> 0:22:33.200
<v Speaker 1>am I wrong? Or do you see it like completely

0:22:33.760 --> 0:22:36.840
<v Speaker 1>being coming the next thing and getting fifty market share

0:22:36.880 --> 0:22:38.920
<v Speaker 1>of the funds? So maybe let's talk about cheap, passive

0:22:38.960 --> 0:22:42.520
<v Speaker 1>and simple. The first thing is the beauty of technology

0:22:42.640 --> 0:22:45.879
<v Speaker 1>is is cost savings that get usually passed on to

0:22:46.000 --> 0:22:49.040
<v Speaker 1>the end uh the end user. If you take into

0:22:49.040 --> 0:22:51.480
<v Speaker 1>account of taxes, which in my mind is just it's

0:22:51.520 --> 0:22:55.119
<v Speaker 1>probably the biggest single costs that comes with investing right period.

0:22:55.160 --> 0:22:57.640
<v Speaker 1>Like if you just do the math, the tax fee

0:22:57.720 --> 0:23:00.119
<v Speaker 1>that you pay is the one you should care the

0:23:00.160 --> 0:23:03.119
<v Speaker 1>most about, right especially because everything so I mean all

0:23:03.200 --> 0:23:05.080
<v Speaker 1>beta is so cheap right now, Like you know, five

0:23:05.160 --> 0:23:07.439
<v Speaker 1>versus four basis points is not going to matter. But

0:23:07.760 --> 0:23:10.200
<v Speaker 1>a big difference in tax bill that compounds over time

0:23:10.359 --> 0:23:12.520
<v Speaker 1>matters enormously. So I think you have to look at

0:23:13.080 --> 0:23:15.560
<v Speaker 1>all that matters is after tax money in the investor's

0:23:15.560 --> 0:23:17.680
<v Speaker 1>pocket at the end of whatever investing cycle it is

0:23:17.720 --> 0:23:20.280
<v Speaker 1>we're talking about. So taxes matter a great deal. So

0:23:20.280 --> 0:23:23.800
<v Speaker 1>when you talk about cheaper, that's seventy eight basis points

0:23:23.840 --> 0:23:27.000
<v Speaker 1>that you're picking up relative to the spy equivalent you

0:23:27.040 --> 0:23:30.600
<v Speaker 1>know et F strategy is ten x the you know

0:23:30.680 --> 0:23:34.200
<v Speaker 1>your fee that you're paying annually for R S p

0:23:34.400 --> 0:23:36.720
<v Speaker 1>Y E t F. So I think on the cheaper side.

0:23:36.920 --> 0:23:39.560
<v Speaker 1>The reason that we're seeing this grow so quickly on

0:23:39.600 --> 0:23:43.440
<v Speaker 1>our platform is mostly that right it's people are convinced

0:23:43.480 --> 0:23:46.119
<v Speaker 1>that taxes are one of the costs and this is

0:23:46.160 --> 0:23:48.600
<v Speaker 1>a great way to reduce those costs and cost compound

0:23:48.640 --> 0:23:52.680
<v Speaker 1>over time. UM Passive is the second thing I think

0:23:52.760 --> 0:23:54.480
<v Speaker 1>I have. I don't want the exact staff, but it's

0:23:54.520 --> 0:23:58.000
<v Speaker 1>something like in the six low sixties, maybe mid sixties,

0:23:58.359 --> 0:24:00.880
<v Speaker 1>per cent of the assets on the plot form are passive.

0:24:01.240 --> 0:24:03.879
<v Speaker 1>So when we launched Canvas, you can do it. You

0:24:03.880 --> 0:24:06.600
<v Speaker 1>can build whatever strategy you want on canvas. We don't

0:24:06.840 --> 0:24:08.720
<v Speaker 1>We don't tell you what to do. So we were

0:24:08.840 --> 0:24:11.520
<v Speaker 1>very curious to know, like, what would people do. The

0:24:11.560 --> 0:24:14.640
<v Speaker 1>answer is that two thirds of their portfolio is passive

0:24:14.840 --> 0:24:18.800
<v Speaker 1>and about you know, the remaining thirty or so is

0:24:18.800 --> 0:24:21.720
<v Speaker 1>is active factor exposures. When you blend those together, the

0:24:22.000 --> 0:24:25.320
<v Speaker 1>management fee is relatively low. It's not sp y low,

0:24:25.359 --> 0:24:28.919
<v Speaker 1>but it's relatively low. Uh. The if factor in the

0:24:28.960 --> 0:24:32.160
<v Speaker 1>next effective effective taxes you could argue it's even lower

0:24:32.200 --> 0:24:35.440
<v Speaker 1>than sp y. Um it is fairly passive, like it's

0:24:35.480 --> 0:24:39.800
<v Speaker 1>dominated by passive assets, and then simple is the last one.

0:24:39.960 --> 0:24:43.080
<v Speaker 1>There's no doubt that buying spy and never doing anything

0:24:43.200 --> 0:24:45.800
<v Speaker 1>is simpler than like, you know, pushing and pulling levers

0:24:45.800 --> 0:24:49.359
<v Speaker 1>and customizing things. There's also no doubt that the people

0:24:49.400 --> 0:24:52.879
<v Speaker 1>that benefit the most from this uh in an absolute sense,

0:24:53.000 --> 0:24:56.560
<v Speaker 1>have more complicated portfolios. They've got these you know, concentrated

0:24:56.560 --> 0:24:59.679
<v Speaker 1>stock positions, They've got other tax considerations that care about

0:25:00.080 --> 0:25:02.520
<v Speaker 1>you know, individual issues that they want to through an

0:25:02.520 --> 0:25:05.600
<v Speaker 1>E s G lens governed in the portfolio. It's it's

0:25:05.600 --> 0:25:08.160
<v Speaker 1>a minority, but it's a very vocal minority for those

0:25:08.200 --> 0:25:10.919
<v Speaker 1>that care, they care a lot. It's like of the

0:25:10.920 --> 0:25:13.760
<v Speaker 1>assets that would that would be true for the E

0:25:13.880 --> 0:25:16.320
<v Speaker 1>s G thing. So you're right, it is. It is

0:25:16.359 --> 0:25:20.840
<v Speaker 1>more complicated in a general sense, but that doesn't mean

0:25:20.920 --> 0:25:23.560
<v Speaker 1>there's not a massive pool of demands. So I don't

0:25:23.560 --> 0:25:25.919
<v Speaker 1>think you're wrong. I don't think that E T S

0:25:25.920 --> 0:25:29.560
<v Speaker 1>will be displaced as a huge, maybe even primary vehicle.

0:25:30.119 --> 0:25:32.000
<v Speaker 1>But when you start to factor some of these things

0:25:32.000 --> 0:25:34.440
<v Speaker 1>in and things will only get simpler. Providers will get

0:25:34.440 --> 0:25:36.840
<v Speaker 1>simpler and simpler over time, Like it'll be a couple

0:25:36.840 --> 0:25:39.359
<v Speaker 1>of clicks, it'll be a couple of things if the

0:25:39.600 --> 0:25:41.840
<v Speaker 1>s m A and operations technology allow this to be

0:25:41.880 --> 0:25:44.439
<v Speaker 1>as cheap as an s P Y E t F

0:25:44.960 --> 0:25:46.879
<v Speaker 1>and everyone can get one with you know, ten thousand

0:25:46.920 --> 0:25:49.560
<v Speaker 1>dollars or something are minimums two and fifty thou which

0:25:49.600 --> 0:25:51.720
<v Speaker 1>probably will be that for a while, but that number

0:25:51.720 --> 0:25:53.800
<v Speaker 1>will come down because of technology over time, because of

0:25:53.840 --> 0:25:57.359
<v Speaker 1>fractional share trading over time, etcetera. So I guess I

0:25:57.359 --> 0:26:02.440
<v Speaker 1>would challenge the the better passive I'm sorry, cheaper passive

0:26:02.520 --> 0:26:04.840
<v Speaker 1>simple by saying this is kind of a lot of

0:26:04.880 --> 0:26:08.600
<v Speaker 1>those same things. Actually, uh, and it will only get

0:26:08.640 --> 0:26:12.199
<v Speaker 1>better over time. Okay, So, Patrick, another backstory question that

0:26:12.280 --> 0:26:15.000
<v Speaker 1>I wanted to ask you about was your dad, who

0:26:15.200 --> 0:26:18.040
<v Speaker 1>you inherited the firm from, and and I'm curious what

0:26:18.280 --> 0:26:22.920
<v Speaker 1>you learned from him. Yeah, so, uh, the literal sequences

0:26:23.000 --> 0:26:26.119
<v Speaker 1>he started. He was one of the pioneering quant researchers

0:26:26.119 --> 0:26:28.280
<v Speaker 1>in the nineties actually late eighties, just when he started

0:26:28.280 --> 0:26:30.639
<v Speaker 1>doing that research. So like some of the early dogs

0:26:30.640 --> 0:26:32.879
<v Speaker 1>of the DOWD research that was empirical. A lot of

0:26:32.880 --> 0:26:35.960
<v Speaker 1>the early factor research around quality and value and momentum.

0:26:36.520 --> 0:26:38.800
<v Speaker 1>Uh he was doing that with you know, Cliff Assness

0:26:38.880 --> 0:26:41.280
<v Speaker 1>and Joseph Connor Shock and some of the very famous

0:26:41.720 --> 0:26:44.720
<v Speaker 1>kind of mid nineties quant researchers. He started the firm

0:26:44.720 --> 0:26:48.399
<v Speaker 1>called Shaughnessy Capital Management in n that became part of

0:26:48.440 --> 0:26:51.600
<v Speaker 1>bear Stearns in two thousand and one. Uh we then

0:26:51.680 --> 0:26:54.440
<v Speaker 1>spun out of bear Sterns in two thousand seven, which

0:26:54.520 --> 0:26:56.720
<v Speaker 1>is right when I graduated college. Like literally the like

0:26:56.960 --> 0:26:59.520
<v Speaker 1>month or week that I graduated college was when OSAM

0:26:59.600 --> 0:27:02.400
<v Speaker 1>was starting. So technically I was o Sam's first employee.

0:27:03.160 --> 0:27:06.040
<v Speaker 1>I didn't know anything about finance or investing. I don't

0:27:06.040 --> 0:27:08.119
<v Speaker 1>think I knew what an equity was, and I had

0:27:08.119 --> 0:27:11.679
<v Speaker 1>studied philosophy in school, and uh so you know, I

0:27:11.720 --> 0:27:14.760
<v Speaker 1>got a very unfair lucky you know, sliding into home

0:27:15.040 --> 0:27:18.840
<v Speaker 1>head started my career because of timing, and I sort

0:27:18.840 --> 0:27:20.879
<v Speaker 1>of fell in love with the quant research part of

0:27:20.920 --> 0:27:24.359
<v Speaker 1>all this. But uh, you know, my my dad, my parents,

0:27:24.359 --> 0:27:27.159
<v Speaker 1>I should say, they were very lazy, fair Like they

0:27:27.200 --> 0:27:28.679
<v Speaker 1>didn't tell us what to do. They didn't tell us

0:27:28.680 --> 0:27:30.879
<v Speaker 1>what to like or learn or study. And so I

0:27:31.040 --> 0:27:33.399
<v Speaker 1>actually hadn't even read my dad's books until you know,

0:27:33.440 --> 0:27:36.560
<v Speaker 1>fairly late in life, and it's always kind of been

0:27:36.600 --> 0:27:38.439
<v Speaker 1>that way, you know. I guess the big thing my

0:27:38.520 --> 0:27:41.680
<v Speaker 1>dad taught me is like, figure everything out for yourself.

0:27:42.320 --> 0:27:45.320
<v Speaker 1>Don't come to me with questions. Like you figure it out.

0:27:45.359 --> 0:27:47.439
<v Speaker 1>That's what That's what I did. That's what people I

0:27:47.480 --> 0:27:50.359
<v Speaker 1>respect to. So, you know, there's a library card, here's

0:27:50.400 --> 0:27:52.800
<v Speaker 1>a bunch of books in the living room, Like, you

0:27:52.840 --> 0:27:54.600
<v Speaker 1>figure it out. You come up with your own solutions.

0:27:55.040 --> 0:27:58.320
<v Speaker 1>And so well we've been you know, fun collaborators and

0:27:58.320 --> 0:28:02.439
<v Speaker 1>and obviously deep partners for a long long time. His

0:28:02.800 --> 0:28:07.680
<v Speaker 1>method was to, uh really hand off responsibility. So when

0:28:07.680 --> 0:28:11.520
<v Speaker 1>I took the business over as CEO in two thousand

0:28:11.640 --> 0:28:14.520
<v Speaker 1>and eighteen, at the start of two and eighteen, it

0:28:14.640 --> 0:28:16.840
<v Speaker 1>wasn't here's the business, like, this is what you should

0:28:16.880 --> 0:28:19.440
<v Speaker 1>do with it. It was here's the business, you tell

0:28:19.480 --> 0:28:22.360
<v Speaker 1>me or we're going to do with it. And uh,

0:28:22.480 --> 0:28:25.280
<v Speaker 1>you know, it took a year of searching before we

0:28:25.320 --> 0:28:29.040
<v Speaker 1>alighted on canvas. So Canvas was literally on a whiteboard

0:28:29.080 --> 0:28:33.119
<v Speaker 1>in my office at the end of prototype was ready

0:28:33.160 --> 0:28:35.679
<v Speaker 1>in three months, and then we went to market with

0:28:35.720 --> 0:28:40.360
<v Speaker 1>it November. So it happened fast. Uh, but I guess

0:28:40.400 --> 0:28:42.520
<v Speaker 1>the thing I learned is like you have to figure

0:28:42.560 --> 0:28:45.640
<v Speaker 1>things out for yourself. Like you cannot tell people what

0:28:45.800 --> 0:28:48.080
<v Speaker 1>to do. You can support them in a lot of ways.

0:28:48.120 --> 0:28:49.440
<v Speaker 1>You can give them a lot of space, you can

0:28:49.440 --> 0:28:51.680
<v Speaker 1>give them a safety net, you can give them um

0:28:52.040 --> 0:28:54.760
<v Speaker 1>peace of mind. But for anyone to figure anything really

0:28:54.800 --> 0:28:57.800
<v Speaker 1>interesting out, they have to do with themselves. And uh,

0:28:57.880 --> 0:29:02.160
<v Speaker 1>I think that's a pretty pretty good singular lesson. Did

0:29:02.200 --> 0:29:06.880
<v Speaker 1>the philosophy Uh did help you at all in this role? Uh?

0:29:07.120 --> 0:29:09.560
<v Speaker 1>Have you brought it? And who's your favorite philosopher? Uh?

0:29:09.640 --> 0:29:12.800
<v Speaker 1>My favorite philosopher is a guy named Arthur Schopenhauer, who's

0:29:12.800 --> 0:29:17.520
<v Speaker 1>a lesser, lesser known, you know, continental europe philosopher, kind

0:29:17.520 --> 0:29:20.480
<v Speaker 1>of obscure, kind of a curmudgeon. But the reason I

0:29:20.520 --> 0:29:22.920
<v Speaker 1>like him so much is that he was the person

0:29:22.960 --> 0:29:26.640
<v Speaker 1>that introduced the West to a lot of the Eastern philosophy.

0:29:26.800 --> 0:29:30.520
<v Speaker 1>So Eastern philosophy is popular or common now in the West.

0:29:30.640 --> 0:29:33.680
<v Speaker 1>Before Chopinauer don't even knew it existed, And so he

0:29:33.760 --> 0:29:37.040
<v Speaker 1>was my He was also an incredibly clear writer. I mean,

0:29:37.120 --> 0:29:39.280
<v Speaker 1>there's a lot of these philosophersy read and it's like,

0:29:39.360 --> 0:29:40.959
<v Speaker 1>I have no idea, what the hell these guys are

0:29:40.960 --> 0:29:44.239
<v Speaker 1>saying it is all this lingo and terminology. It just

0:29:44.320 --> 0:29:48.120
<v Speaker 1>feels like a ridiculous argument for insiders that is inaccessible.

0:29:48.160 --> 0:29:53.400
<v Speaker 1>Whereas Chopinauer wrote very clean, simple language, talked about very basic,

0:29:53.440 --> 0:29:56.360
<v Speaker 1>simple things in life health, wrote a lot about health.

0:29:56.400 --> 0:29:59.640
<v Speaker 1>A lot of philosophers didn't write about health. Um, Schopenauer did.

0:29:59.800 --> 0:30:01.840
<v Speaker 1>But but more than anything, he introduced me to the

0:30:01.880 --> 0:30:06.560
<v Speaker 1>Eastern philosophers, which uh, I would say are my like

0:30:06.920 --> 0:30:10.200
<v Speaker 1>operating system or way of thinking about life and work

0:30:10.240 --> 0:30:14.080
<v Speaker 1>in the world and everything else. So yeah, it directly

0:30:14.400 --> 0:30:18.280
<v Speaker 1>continues to I still read that stuff constantly. It influences

0:30:18.360 --> 0:30:22.240
<v Speaker 1>my behavior every day. Um, there's even individual passages I

0:30:22.240 --> 0:30:25.160
<v Speaker 1>can point to that that form a lot of my worldview.

0:30:25.560 --> 0:30:28.200
<v Speaker 1>What cooler pursuit than trying to figure out, you know,

0:30:28.280 --> 0:30:30.680
<v Speaker 1>what the hell is going on in life? Uh? I

0:30:30.720 --> 0:30:33.440
<v Speaker 1>just think it's a really interesting exercise for anybody, and

0:30:33.520 --> 0:30:36.440
<v Speaker 1>Chopinhum made it accessible. So he's probably my favorite. Love

0:30:36.480 --> 0:30:46.600
<v Speaker 1>that your podcast invest like the best. What's your your

0:30:46.840 --> 0:30:49.960
<v Speaker 1>number one takeaway or lesson that you've learned from someone

0:30:50.000 --> 0:30:52.760
<v Speaker 1>and applied to your life to benefit from? Well, uh,

0:30:53.440 --> 0:30:57.120
<v Speaker 1>to tie it to this conversation, I would say, almost

0:30:57.240 --> 0:31:01.720
<v Speaker 1>all of Canvas. Everything we did with Canvas was us

0:31:01.880 --> 0:31:06.280
<v Speaker 1>stealing outright lessons, specific lessons you could even I think

0:31:06.480 --> 0:31:11.240
<v Speaker 1>almost as like business spells um that I learned from others.

0:31:11.040 --> 0:31:15.320
<v Speaker 1>The way that we launched and built the product was

0:31:15.640 --> 0:31:20.840
<v Speaker 1>wholesale taken from a guy named Chathan Putugunta. I'll never forget.

0:31:20.840 --> 0:31:23.920
<v Speaker 1>I flew out there and showed Chathan, who's a partner

0:31:23.920 --> 0:31:25.720
<v Speaker 1>at Benchmark Capital kind of one of probably the most

0:31:25.760 --> 0:31:30.080
<v Speaker 1>famous VC firm with Sequoia, and uh said, look, here's

0:31:30.120 --> 0:31:33.520
<v Speaker 1>here's the product that we've built. We think it's it's great. Uh,

0:31:33.560 --> 0:31:36.680
<v Speaker 1>it's built on all this proprietary technology. Blah blah blah, um,

0:31:37.520 --> 0:31:39.280
<v Speaker 1>what would you do with this? And he told me,

0:31:39.640 --> 0:31:41.400
<v Speaker 1>And what he told me was was kind of the

0:31:41.400 --> 0:31:44.840
<v Speaker 1>opposite of my own instinct. I think of him as

0:31:44.840 --> 0:31:48.200
<v Speaker 1>the sort of you know, Obi Wan of of enterprise software.

0:31:48.600 --> 0:31:50.320
<v Speaker 1>And so we just listened, like we just did what

0:31:50.400 --> 0:31:55.040
<v Speaker 1>he said and it worked ridiculously well, uh and much

0:31:55.080 --> 0:31:57.680
<v Speaker 1>better than the plan that I had for distributing Canvas.

0:31:58.040 --> 0:32:00.240
<v Speaker 1>And it was counterintuitive. And and so I think the

0:32:00.320 --> 0:32:02.360
<v Speaker 1>number one lesson I have is just like, there is

0:32:02.440 --> 0:32:05.520
<v Speaker 1>so much to learn from so many people from literally

0:32:05.560 --> 0:32:08.640
<v Speaker 1>every person across so many disciplines that can then be

0:32:08.720 --> 0:32:11.440
<v Speaker 1>applied back to your thing. Um, I actually think you

0:32:11.440 --> 0:32:14.160
<v Speaker 1>should spend more time spent away from your own industry

0:32:14.160 --> 0:32:18.000
<v Speaker 1>when you're studying business or whatever. Study around it, like

0:32:18.040 --> 0:32:21.320
<v Speaker 1>to study adjacencies, study other strategies and see if they

0:32:21.360 --> 0:32:24.080
<v Speaker 1>apply to what what you can do, because I do

0:32:24.200 --> 0:32:26.680
<v Speaker 1>think in many ways, like our story would not have

0:32:26.720 --> 0:32:29.960
<v Speaker 1>been nearly as interesting had we not borrowed these ideas

0:32:30.000 --> 0:32:33.880
<v Speaker 1>from lots of other different fields. And uh, I guess

0:32:33.920 --> 0:32:36.280
<v Speaker 1>the second lesson is just like if you expose what

0:32:36.360 --> 0:32:40.080
<v Speaker 1>you're learning as you go, it is a magical process.

0:32:40.200 --> 0:32:43.760
<v Speaker 1>Like you you attract people that like the same stuff,

0:32:44.080 --> 0:32:46.280
<v Speaker 1>that have similar motivations, that want to work on the

0:32:46.280 --> 0:32:49.920
<v Speaker 1>same projects. Recruiting becomes easier, sales becomes easier, you get

0:32:49.920 --> 0:32:53.000
<v Speaker 1>more ideas, you build a distribution channel yourself. You know,

0:32:53.040 --> 0:32:55.440
<v Speaker 1>we reach millions of people a month with our podcasts,

0:32:55.440 --> 0:32:59.040
<v Speaker 1>Like it's it's a it's a big platform, and it's

0:32:59.120 --> 0:33:02.080
<v Speaker 1>all because of me talking to people asking them questions

0:33:02.160 --> 0:33:05.680
<v Speaker 1>like that. That sounds so weird to me, and when

0:33:05.720 --> 0:33:08.000
<v Speaker 1>I started it, I didn't intend any of this, but

0:33:08.080 --> 0:33:11.880
<v Speaker 1>it's really a smart idea to chase curiosity and learn

0:33:11.880 --> 0:33:15.200
<v Speaker 1>in public a bit. And uh, yeah, it's it's it's

0:33:15.240 --> 0:33:17.920
<v Speaker 1>it's the reason for a lot of things I treasure most.

0:33:18.560 --> 0:33:23.400
<v Speaker 1>I love. This audio is a weird platform. Uh there's

0:33:23.440 --> 0:33:27.719
<v Speaker 1>this crazy idea called the Guttenberg parentheses, which is this

0:33:27.760 --> 0:33:31.400
<v Speaker 1>notion that we may look back in time. I don't

0:33:31.400 --> 0:33:33.240
<v Speaker 1>know if I agree, but it's an interesting idea. We

0:33:33.280 --> 0:33:35.880
<v Speaker 1>may look back in time from the printing invention of

0:33:35.920 --> 0:33:39.360
<v Speaker 1>the printing press to the dawn of the internet as

0:33:39.440 --> 0:33:42.800
<v Speaker 1>like the era when the written word was dominant by

0:33:42.800 --> 0:33:46.560
<v Speaker 1>far you know of any communication exchange or medium, and

0:33:46.640 --> 0:33:49.280
<v Speaker 1>that the parentheses might be that this is the only

0:33:49.320 --> 0:33:51.280
<v Speaker 1>period in history where the written word is is the

0:33:51.320 --> 0:33:54.280
<v Speaker 1>dominant form of communication. And the reason that is at

0:33:54.360 --> 0:33:58.320
<v Speaker 1>least interesting to consider, I think is, Uh, audio is

0:33:58.520 --> 0:34:01.760
<v Speaker 1>way easier to create and it's way easier to consume

0:34:02.080 --> 0:34:04.520
<v Speaker 1>than the written word. It doesn't need to be as perfect.

0:34:04.680 --> 0:34:06.240
<v Speaker 1>You get a lot more there's a lot more room

0:34:06.280 --> 0:34:10.920
<v Speaker 1>for error. The audience penetration is some orders of magnitude bigger,

0:34:11.000 --> 0:34:13.640
<v Speaker 1>Like you know, I wrote a book and in the

0:34:13.680 --> 0:34:16.360
<v Speaker 1>first you know, ten minutes of the release of a

0:34:16.360 --> 0:34:18.960
<v Speaker 1>new episode of a podcast, like ten times as many

0:34:19.000 --> 0:34:21.520
<v Speaker 1>people listen to a new podcast episode every single week

0:34:22.000 --> 0:34:24.200
<v Speaker 1>has read the book that took me a year to write.

0:34:24.800 --> 0:34:26.759
<v Speaker 1>I just think that's kind of staggering when you think

0:34:26.800 --> 0:34:29.319
<v Speaker 1>about the leverage it represents. So if it's ten times

0:34:29.320 --> 0:34:32.440
<v Speaker 1>easier to create, ten times easier to listen to, I

0:34:32.480 --> 0:34:34.120
<v Speaker 1>just think you can do a lot more with audio.

0:34:34.200 --> 0:34:37.120
<v Speaker 1>That's interesting. And if you look at our you know, corpus,

0:34:37.680 --> 0:34:40.839
<v Speaker 1>it's like we've we've written hundreds of books. Uh, if

0:34:40.840 --> 0:34:43.080
<v Speaker 1>you add up, the word counts. So I think audio

0:34:43.160 --> 0:34:47.160
<v Speaker 1>is like a sneaky, interesting communication method. It's also the oldest,

0:34:47.320 --> 0:34:48.960
<v Speaker 1>you know, like that that's this is how stuff was

0:34:49.000 --> 0:34:53.160
<v Speaker 1>communicated down through most of history. Um. So I'm very

0:34:53.160 --> 0:34:55.879
<v Speaker 1>intrigued by audio as a medium. And everyone always asked

0:34:55.880 --> 0:34:58.200
<v Speaker 1>about write another book, and it's like, I guess I could.

0:34:58.280 --> 0:34:59.640
<v Speaker 1>But in the time it would take to write one

0:34:59.680 --> 0:35:01.120
<v Speaker 1>of those, I could do like a hundred of these.

0:35:01.160 --> 0:35:05.880
<v Speaker 1>So uh, maybe I'll just do that. I agree with

0:35:05.920 --> 0:35:08.960
<v Speaker 1>all that. I would make two comments. One The good

0:35:08.960 --> 0:35:11.359
<v Speaker 1>thing about books, like you know, like your dad, you

0:35:11.360 --> 0:35:14.399
<v Speaker 1>didn't care for twenty years, and then when you did,

0:35:14.440 --> 0:35:17.319
<v Speaker 1>it was right there for you. Like books have a way,

0:35:17.520 --> 0:35:19.719
<v Speaker 1>they have a way of lasting, like they're they're a

0:35:19.760 --> 0:35:22.680
<v Speaker 1>little bit more permanent. I think, um, that would be

0:35:22.760 --> 0:35:24.719
<v Speaker 1>my case for writing a book, because I agree with you,

0:35:24.760 --> 0:35:27.240
<v Speaker 1>it's a it's a pain in the ass, and unless

0:35:27.280 --> 0:35:29.719
<v Speaker 1>you like get real lucky you write the best book,

0:35:29.760 --> 0:35:33.440
<v Speaker 1>you're probably gonna not, you know, sell a ton of copies.

0:35:33.480 --> 0:35:36.239
<v Speaker 1>But at least it's always out there. I don't, I don't,

0:35:36.280 --> 0:35:39.560
<v Speaker 1>I don't agree. You know. I look yesterday, Uh, I

0:35:39.640 --> 0:35:42.080
<v Speaker 1>just had the numbers here. There's an episode we released

0:35:42.120 --> 0:35:43.960
<v Speaker 1>a couple of years ago with John Collinson, who's the

0:35:44.000 --> 0:35:46.000
<v Speaker 1>one of the co founders of Stripe, obviously a big,

0:35:46.000 --> 0:35:48.880
<v Speaker 1>you know, very popular technology company, who was listening to

0:35:49.000 --> 0:35:52.439
<v Speaker 1>thousands of times yesterday. Yesterday. It's two years old, and

0:35:53.040 --> 0:35:54.719
<v Speaker 1>we don't even know, like this stuff has not been

0:35:54.760 --> 0:35:57.040
<v Speaker 1>around for twenty years to know if there's going to

0:35:57.080 --> 0:36:00.600
<v Speaker 1>be I would suspect that the very best episodes will

0:36:00.640 --> 0:36:02.959
<v Speaker 1>live effectively forever just as long as a book would.

0:36:03.480 --> 0:36:05.960
<v Speaker 1>And they're more accessible. They're easier. I can I can

0:36:05.960 --> 0:36:09.320
<v Speaker 1>get one of my phone in seven seconds versus a

0:36:09.360 --> 0:36:11.840
<v Speaker 1>book that I have to like seek out and go after. No,

0:36:12.160 --> 0:36:13.840
<v Speaker 1>I'm not saying one's better than the other. I just

0:36:13.880 --> 0:36:16.160
<v Speaker 1>think I think it's on the same level. And we

0:36:16.239 --> 0:36:19.080
<v Speaker 1>see that in the data that very old episodes get

0:36:19.320 --> 0:36:22.799
<v Speaker 1>crazy amounts of new listeners despite being years old. Yeah,

0:36:22.880 --> 0:36:25.359
<v Speaker 1>you might be right. Um. Also would add the other

0:36:25.400 --> 0:36:28.880
<v Speaker 1>comment I had was video I get I'm just blown

0:36:28.880 --> 0:36:31.720
<v Speaker 1>away by the numbers TikTok puts up. And I find

0:36:31.760 --> 0:36:35.399
<v Speaker 1>that younger people are just so into that, And I'm

0:36:35.480 --> 0:36:38.600
<v Speaker 1>wondering because as analysts and pundits that which is what

0:36:38.640 --> 0:36:42.200
<v Speaker 1>I am, we're constantly sort of trying to make sure

0:36:42.200 --> 0:36:45.320
<v Speaker 1>we're not missing anything because, as you say, like writing

0:36:45.360 --> 0:36:48.719
<v Speaker 1>a research note, can it starts to get feel a

0:36:48.760 --> 0:36:52.239
<v Speaker 1>little old timey and a lot of information is now

0:36:52.280 --> 0:36:55.600
<v Speaker 1>put out through audio now videos. Um. A lot of

0:36:55.600 --> 0:36:59.400
<v Speaker 1>other pundits in different industries use video a lot, short videos,

0:36:59.400 --> 0:37:02.480
<v Speaker 1>short form and polished videos. Um, what's your take on

0:37:02.560 --> 0:37:05.080
<v Speaker 1>that kind of way of communicating to this sort of

0:37:05.160 --> 0:37:07.640
<v Speaker 1>newer TikTok general on, my take is that you know,

0:37:07.680 --> 0:37:10.799
<v Speaker 1>we should probably do it, but I don't care. I

0:37:10.840 --> 0:37:13.000
<v Speaker 1>hate it. I don't want to be on video. I

0:37:13.080 --> 0:37:17.040
<v Speaker 1>want long form discussions. I want to I want the

0:37:17.080 --> 0:37:19.759
<v Speaker 1>lower pressure. I think I think video creates a sort

0:37:19.760 --> 0:37:22.080
<v Speaker 1>of weird pressure on people, both on me and on

0:37:22.120 --> 0:37:25.880
<v Speaker 1>the guest. Uh. I just don't like it, um and

0:37:25.880 --> 0:37:28.640
<v Speaker 1>and life is too short to just optimize for the

0:37:28.920 --> 0:37:32.560
<v Speaker 1>you know, the greatest reach, the greatest downloads, whatever. And

0:37:32.680 --> 0:37:34.759
<v Speaker 1>maybe I'll change my tune on this, but I have

0:37:34.840 --> 0:37:37.560
<v Speaker 1>said note to video a lot, and I don't really

0:37:37.560 --> 0:37:40.120
<v Speaker 1>care if it means the audience is smaller. I think

0:37:40.120 --> 0:37:42.920
<v Speaker 1>we reached the audience that we want to reach with

0:37:42.960 --> 0:37:46.320
<v Speaker 1>pretty high penetration and saturation. And we're having these minor

0:37:46.360 --> 0:37:49.840
<v Speaker 1>hour and a half long conversations in crazy detail about

0:37:49.840 --> 0:37:53.600
<v Speaker 1>like esoteric business and investing topics. This is not people

0:37:53.680 --> 0:37:57.080
<v Speaker 1>trying to get like a dopamine hit on TikTok um.

0:37:57.120 --> 0:37:59.759
<v Speaker 1>I think TikTok could be a fantastic distribution strategy for us.

0:37:59.760 --> 0:38:01.160
<v Speaker 1>I think we put the effort in, it would be

0:38:01.160 --> 0:38:04.000
<v Speaker 1>worth it in a dollars and cents and you know,

0:38:04.320 --> 0:38:08.400
<v Speaker 1>spock like way. Um. But it's just it's just not

0:38:08.480 --> 0:38:10.239
<v Speaker 1>for me. I just hate it. Like when I think

0:38:10.280 --> 0:38:15.400
<v Speaker 1>of communicating, when I look at TikTok it just doesn't

0:38:15.840 --> 0:38:19.440
<v Speaker 1>match my brain wiring. Whereas Twitter, it's natural, it's Twitter

0:38:19.480 --> 0:38:22.200
<v Speaker 1>feels native to me. Uh, you know, conversing with people,

0:38:22.200 --> 0:38:26.000
<v Speaker 1>putting out charts, short form writing. Um TikTok feels totally

0:38:26.040 --> 0:38:29.160
<v Speaker 1>undeath every time every time I've tried it. It feels

0:38:29.200 --> 0:38:32.959
<v Speaker 1>like I'm like manufacturing something. And and to be clear,

0:38:33.000 --> 0:38:35.640
<v Speaker 1>like I'm an investor. I'm interested in investing. I'm interested

0:38:35.680 --> 0:38:40.280
<v Speaker 1>in taking capital and owning really good businesses with that capital,

0:38:40.480 --> 0:38:43.719
<v Speaker 1>owning American the size of American business making. You know,

0:38:43.760 --> 0:38:46.239
<v Speaker 1>I do a lot of early stage private investing, Like

0:38:46.360 --> 0:38:48.799
<v Speaker 1>that is what interests me. I just happened to have

0:38:48.960 --> 0:38:52.040
<v Speaker 1>this other thing that I use as a learning vehicle

0:38:52.120 --> 0:38:56.160
<v Speaker 1>that creates a virtuous circle. Like I almost cringe at

0:38:56.160 --> 0:38:59.360
<v Speaker 1>the word part whenever I hear the word podcast. I'm like, um,

0:38:59.560 --> 0:39:02.040
<v Speaker 1>it's just I'm not like the media side for its

0:39:02.080 --> 0:39:04.759
<v Speaker 1>own sake, it's just not that interesting to me. Like

0:39:04.800 --> 0:39:07.200
<v Speaker 1>I'm interested in the content of it. And that's why

0:39:07.200 --> 0:39:08.879
<v Speaker 1>I do it every week, and I have been for

0:39:08.920 --> 0:39:11.360
<v Speaker 1>six years now, and we'll probably do it for you know,

0:39:11.360 --> 0:39:15.200
<v Speaker 1>if I'm lucky to live another sixty years. And uh so,

0:39:15.640 --> 0:39:18.160
<v Speaker 1>you know, I think it's I think I'm wrong, but

0:39:18.239 --> 0:39:21.520
<v Speaker 1>I don't care. Okay, to bring it back to the

0:39:21.520 --> 0:39:23.680
<v Speaker 1>E T F s at the end of this podcast,

0:39:24.280 --> 0:39:25.920
<v Speaker 1>I want to ask you what your favorite E t

0:39:26.040 --> 0:39:32.400
<v Speaker 1>F ticker is s p Y. Come on, man, I

0:39:32.400 --> 0:39:35.719
<v Speaker 1>mean look, I think it's the answer. Uh. Well, you

0:39:35.760 --> 0:39:37.920
<v Speaker 1>have mentioned SPY a lot in this interview. That seems

0:39:37.960 --> 0:39:39.960
<v Speaker 1>to be your Is that your bogey? Is that your

0:39:39.960 --> 0:39:42.560
<v Speaker 1>what you're selling against? Effective? I just think back to

0:39:42.560 --> 0:39:47.520
<v Speaker 1>your point in simplicity, Uh, sp Y has beaten a

0:39:47.640 --> 0:39:52.759
<v Speaker 1>staggering percentage of investors of every stripe of you know,

0:39:52.840 --> 0:39:58.640
<v Speaker 1>pick your asset class, pick your uh, you know, public, private, credit, equity,

0:39:59.120 --> 0:40:02.919
<v Speaker 1>US global. I don't care how you slice it. It's

0:40:03.040 --> 0:40:06.960
<v Speaker 1>just shocking. It's the first question I ask in every context,

0:40:07.080 --> 0:40:09.640
<v Speaker 1>like why not Spy? Like even if I'm making a

0:40:09.680 --> 0:40:11.880
<v Speaker 1>personal early stage investment, like okay, I'm gonna put X

0:40:11.880 --> 0:40:13.840
<v Speaker 1>dollars into this, why am I not putting that X

0:40:13.880 --> 0:40:16.520
<v Speaker 1>dollars in Spy? To me? That is and maybe the

0:40:16.560 --> 0:40:18.360
<v Speaker 1>perfect thing is v T I or whatever. The total

0:40:18.400 --> 0:40:21.080
<v Speaker 1>market is not just the SPI. That's that's probably better,

0:40:21.719 --> 0:40:24.399
<v Speaker 1>But the SMP has this amazing you know, mental availability

0:40:24.400 --> 0:40:28.120
<v Speaker 1>and brand um and it's pretty close close enough. So

0:40:28.480 --> 0:40:31.840
<v Speaker 1>to me, it is the opportunity cost, right, it's everyone's

0:40:31.840 --> 0:40:36.160
<v Speaker 1>opportunity costs as an investor and should be taken very,

0:40:36.239 --> 0:40:39.200
<v Speaker 1>very seriously. So that's probably why it's my favorite as

0:40:39.320 --> 0:40:42.000
<v Speaker 1>a ticker. Maybe it's not the best. Eric's the master

0:40:42.080 --> 0:40:44.640
<v Speaker 1>of clever tickers. I don't know them. I spent very

0:40:44.640 --> 0:40:46.560
<v Speaker 1>little time like a d t f S, but the

0:40:46.880 --> 0:40:49.200
<v Speaker 1>I don't I actually don't own ets. But the extent

0:40:49.200 --> 0:40:52.560
<v Speaker 1>to which I would or uh would change to that

0:40:52.600 --> 0:40:56.319
<v Speaker 1>strategy or recommend that someone else changed that strategy hard

0:40:56.360 --> 0:40:59.200
<v Speaker 1>to beat. Spy Patrick was Johnesty. Thanks so much for

0:40:59.239 --> 0:41:05.240
<v Speaker 1>joining us on trially. It's thanks guys, Thanks for listening

0:41:05.239 --> 0:41:07.480
<v Speaker 1>to Trillions until next time. You can find us on

0:41:07.480 --> 0:41:11.880
<v Speaker 1>the Bloomberg terminals, Bloomberg dot com, Apple Podcast, Spotify, and

0:41:11.920 --> 0:41:14.160
<v Speaker 1>wherever else you like to listen. We'd love to hear

0:41:14.200 --> 0:41:17.160
<v Speaker 1>from you. We're on Twitter. I'm at Joel Webber Show,

0:41:17.320 --> 0:41:21.560
<v Speaker 1>He's at Eric Faltinus. This episode of Trillions was produced

0:41:21.560 --> 0:41:31.640
<v Speaker 1>by Stacy Wongs bite O