WEBVTT - Patrick O'Shaughnessy on the Next Big Thing in Passive Investing

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Tracy Allaway and I'm Joey. Isn't all so, Joe.

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<v Speaker 1>It's been a while since we've talked about passive investing,

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<v Speaker 1>and I can't decide if that's just because um, so

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<v Speaker 1>much else has been going on in the world, including

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<v Speaker 1>a global pandemic, or if it's because passive investing itself

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<v Speaker 1>seems to have gotten a little boring, like it doesn't

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<v Speaker 1>feel like there's that much happening in the space. Well,

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<v Speaker 1>I know I've said it before, and I don't remember

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<v Speaker 1>the last thing we talked about it, but I know

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<v Speaker 1>I've said it before that in the post Great Financial

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<v Speaker 1>Crisis period, it felt like there was just this overwhelming

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<v Speaker 1>message and there's like through the media and marketing and

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<v Speaker 1>academic research, it's like just go passive, just go you know,

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<v Speaker 1>index whatever, forget about your investments. And it really feels

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<v Speaker 1>like in the last couple of years, even before the pandemic,

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<v Speaker 1>but now especially since the pandemic, it's like there's been

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<v Speaker 1>the like revenge of active management and individual stock selection

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<v Speaker 1>and robin hood and crypto and all that, and it's

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<v Speaker 1>like this repressed desire to trade and invest in individual names.

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<v Speaker 1>It just come like raging back. So I guess that

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<v Speaker 1>sort of asked the question. It's like, okay, well then

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<v Speaker 1>like where does where does the passive fit in? Now? Yeah, totally.

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<v Speaker 1>And the other thing I've been thinking about, just on

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<v Speaker 1>that point, about the message about investing in passive like

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<v Speaker 1>when you start to break it down, this idea of

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<v Speaker 1>just pour all your money into an SMP E t

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<v Speaker 1>F like spy, you know, something like that. If you

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<v Speaker 1>think about it, that's basically telling you to invest your

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<v Speaker 1>money in a technology, like a fun technology that can

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<v Speaker 1>trace its origins back to the early And it's kind

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<v Speaker 1>of crazy with all the technological advances that we've seen

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<v Speaker 1>since then, that the biggest um or the most prominent

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<v Speaker 1>advice is to just dump everything in an E t F. Yeah.

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<v Speaker 1>I like your characterizatione that as a technology, and this

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<v Speaker 1>is something that I think about a lot. Like, Okay,

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<v Speaker 1>we call say index investing passive investing, and it's pretty passive.

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<v Speaker 1>But prior to the advent of the index fund and

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<v Speaker 1>especially like E t F, it was not like a

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<v Speaker 1>trivial thing to do. So the academic research might say,

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<v Speaker 1>by the SNP or by some big basket and forget

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<v Speaker 1>about it. But prior to like some easy way to

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<v Speaker 1>just sort of automatic that like that was not actually

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<v Speaker 1>like a strategy an individual could do. No individual is

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<v Speaker 1>going to like buy all stocks in the SPI and

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<v Speaker 1>re waste com early day and you know, so it's

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<v Speaker 1>like there, it is kind of like a technological breakthrough

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<v Speaker 1>that that happened that we sort of take for granted totally.

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<v Speaker 1>So on that note, today we're going to be talking

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<v Speaker 1>about what a lot of people are saying, is the

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<v Speaker 1>next technological breakthrough in fund management or the next big

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<v Speaker 1>advancement um something that is definitely not boring but does

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<v Speaker 1>count as passive investing sort of as we'll get into

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<v Speaker 1>we're gonna be talking about custom indexing, and there's been

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<v Speaker 1>a lot of action and deals in that space recently, right,

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<v Speaker 1>And of course this gets to the question of like

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<v Speaker 1>you knows again, I think this is something you've pointed

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<v Speaker 1>out a lot. You could buy the sp it's passive ish,

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<v Speaker 1>but you're sort of outsourcing the indexing question or the

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<v Speaker 1>management question to whoever you know in that case, the

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<v Speaker 1>Committee of S and P or if you buy an

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<v Speaker 1>MSc I index, the you're outsourcing investment decisions to mbs

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<v Speaker 1>C I, so what is the future of like essentially

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<v Speaker 1>designing the index exactly? So we have the best guests

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<v Speaker 1>to talk about it, We're going to be speaking with

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<v Speaker 1>Patrick O'Shaughnessy. He's the CEO over at A Shaughnessy Asset Management,

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<v Speaker 1>of course, also the chairman at Colossus and general partner

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<v Speaker 1>or n CEO at Positive Some And in addition to that,

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<v Speaker 1>he is also the host of the invest Like the

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<v Speaker 1>Best podcast. So a fellow podcaster, Patrick, thank you so

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<v Speaker 1>much for coming on. I'm really delighted to be here.

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<v Speaker 1>I love love this show, so thank you for having me.

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<v Speaker 1>Thank you. So maybe just to begin with, we should

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<v Speaker 1>start with the obvious question, uh, and I should mention

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<v Speaker 1>here that your company, oh Sam, it has its own

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<v Speaker 1>custom indexing platform called Canvas. What exactly is a custom

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<v Speaker 1>index and what does your platform do? Sure? Thank you

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<v Speaker 1>for having me. I love where you started the conversation

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<v Speaker 1>around technology and innovation and that's how I think about

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<v Speaker 1>this entire story. And custom indexing is just one point

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<v Speaker 1>in in the timeline. And I think you raised the

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<v Speaker 1>right ones. Which are I think of as a code?

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<v Speaker 1>I think of code mingled funds as a technology or innovation.

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<v Speaker 1>I think of Vanguard's mutual structure that allowed for much

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<v Speaker 1>lower cost for investors as a great innovation in this timeline.

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<v Speaker 1>Ditto for E t F s. I think custom indexing

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<v Speaker 1>is just the next natural uh stop in that journey.

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<v Speaker 1>And when I say journey, I mean better, cheaper, more

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<v Speaker 1>convenient investing, more tailored investing for each individual investor. So

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<v Speaker 1>in the past, it's E t f s in general

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<v Speaker 1>and just index funds in general have been sort of

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<v Speaker 1>like the model T You can have any color you

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<v Speaker 1>want as long as it's black. And I think that

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<v Speaker 1>is obviously going to change, and the reason it's going

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<v Speaker 1>to change is because of technology. So I always like

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<v Speaker 1>to look at what I call directional arrows of progress,

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<v Speaker 1>the term I learned from my friend Josh Wolfe, and

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<v Speaker 1>see where the world's going. So we already know that

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<v Speaker 1>trading is now free thanks to Robin Hood and all

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<v Speaker 1>the other brokerages that have followed suit. We know that

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<v Speaker 1>the cost of operating your own separate account in at

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<v Speaker 1>a brokerage like a Schwab or wherever is falling in

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<v Speaker 1>cost every single year for asset managers like us that

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<v Speaker 1>that work with those firms, and we know that in

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<v Speaker 1>the future we're gonna have fully fractionalized shares. So the

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<v Speaker 1>all three of those were huge impediments to owning your

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<v Speaker 1>own basket of stocks directly, not through a fond or

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<v Speaker 1>any t f but directly, and all those cost curves

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<v Speaker 1>are either at zero or going towards zero, or going

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<v Speaker 1>to be very possible. And in a world where it

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<v Speaker 1>doesn't cost anything to trade, it costs very little to

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<v Speaker 1>have a brokerage account and have an asset manager like

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<v Speaker 1>us or a black Rock or a Vanguard whoever, trade

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<v Speaker 1>on your behalf, and you can own fractional shares. What

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<v Speaker 1>seems really obvious to me in that world is this

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<v Speaker 1>idea of custom indexing, a term that that I'm proud

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<v Speaker 1>that we we coined a couple of years back. And

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<v Speaker 1>this the idea is very simple, which is that why

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<v Speaker 1>why should everybody own the same five stocks in the

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<v Speaker 1>SMP five hundred. Why wouldn't it be easy to adjust

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<v Speaker 1>for little things and big things such as I don't

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<v Speaker 1>want to own stocks with certain characteristics. For me, I

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<v Speaker 1>work in capital markets, as you just mentioned my my CV,

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<v Speaker 1>I don't really want to own more capital markets exposure.

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<v Speaker 1>I've got plenty of that in my human capital in

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<v Speaker 1>my day to day job. I don't want to own

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<v Speaker 1>tobacco stocks. That's just a personal thing for me. It's

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<v Speaker 1>a very small part of market cap, but I don't

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<v Speaker 1>want them. Very easy to adjust for in something like

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<v Speaker 1>a custom index. Perhaps the most important thing that custom

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<v Speaker 1>and also direct indexing unlocks is the ability to do

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<v Speaker 1>better after taxes as well. What we've learned is that

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<v Speaker 1>everybody has a very specific and personal tax situation. No

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<v Speaker 1>one likes paying taxes. Everyone wants a better after tax return.

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<v Speaker 1>That's the if you ask me. That's one of the

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<v Speaker 1>key geniuses of the index fund is that it's low turnover,

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<v Speaker 1>so you don't have a huge tax bill when you

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<v Speaker 1>own SPY or own Vanguards Total Market d t F

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<v Speaker 1>or fund or something like this. What you can do

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<v Speaker 1>when you own each of the underlying securities let's just

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<v Speaker 1>stick with the SMP five, is you can sell positions

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<v Speaker 1>that are at a loss and you can use that

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<v Speaker 1>loss to offset gains elsewhere in your portfolio and actually

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<v Speaker 1>come out ahead on an after tax basis. We call

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<v Speaker 1>this tax loss harvesting. It's been around for a while,

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<v Speaker 1>typically for just the very very wealthy because you need

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<v Speaker 1>very big accounts. But again, as the costs fall, this

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<v Speaker 1>opportunity to create losses and create better after tax returns

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<v Speaker 1>will to you know, more mass market uh individuals as well.

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<v Speaker 1>So custom indexing is the prospect of why would I

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<v Speaker 1>have the same strategy as everybody else when my circumstances,

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<v Speaker 1>my preferences are different, They're unique to me. And I

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<v Speaker 1>think personalization is a big trend, not just in in investing,

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<v Speaker 1>but in everywhere writing, whether it's in clothing or other

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<v Speaker 1>areas of technology, and that that will come to investing.

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<v Speaker 1>Two and and you know, we're proud to be at

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<v Speaker 1>sort of the vanguard of pun intended of the custom

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<v Speaker 1>indexing trend. So I sort of hinted at this in

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<v Speaker 1>the beginning, and there's always this debate and you see

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<v Speaker 1>it on Twitter elsewhere. It's like this passive investing actually exist.

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<v Speaker 1>And by that it's like, Okay, uh, is the S

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<v Speaker 1>and P If you buy S P Y, is that

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<v Speaker 1>truly passive? Because Okay, that's only five stocks and there

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<v Speaker 1>are thousands of stocks. Committee had to select them. And

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<v Speaker 1>the way I think about this question is that it's

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<v Speaker 1>sort of a false binary, and that there's like basically

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<v Speaker 1>a spectrum, and that buying the SMP five or buying

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<v Speaker 1>spy is you know, just like buying a little bit

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<v Speaker 1>every month or never, say, more passive than some other

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<v Speaker 1>strategy where you try to like pick twenty stocks or whatever.

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<v Speaker 1>And it sounds like to me that with customer indexing,

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<v Speaker 1>it's basically just adjusting where you are on the spectrum

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<v Speaker 1>a little bit. And so rather than going hole hog

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<v Speaker 1>into some sort of like or trying to beat the market,

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<v Speaker 1>it's okay, let's take the premise that for the most

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<v Speaker 1>part we want to just sort of buy something general

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<v Speaker 1>and stable and diversified, but it can be tweaked a

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<v Speaker 1>little bit to get some sort of different returns while

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<v Speaker 1>still maintaining the gist of the benefits of wide diversification

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<v Speaker 1>and avoiding some market timing. Yeah. I think this. I

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<v Speaker 1>think this whole committee thing whenever I hear the committee

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<v Speaker 1>at SMP brought up, I sort of laugh. It's just

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<v Speaker 1>it's it's I think it's a very strange argument for

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<v Speaker 1>people to spend any of their time on because if

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<v Speaker 1>instead of uh, using the quote unquote committee, you just

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<v Speaker 1>bought the top five stocks by market cap, it's the

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<v Speaker 1>exact same return. It's the exact same return, and and

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<v Speaker 1>and so I think the key thing here is you

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<v Speaker 1>want to own roughly the market in its market cap

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<v Speaker 1>weights roughly to get the market return, and even if

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<v Speaker 1>you deviate that from that, whether it's via committee or

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<v Speaker 1>via a fancy term stratified sampling, which is what a

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<v Speaker 1>lot of firms like us do, where you own most

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<v Speaker 1>of the securities in the market, but you don't need

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<v Speaker 1>to own them all. You know, the the last ten

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<v Speaker 1>stocks in the SMP make up a tiny miniscule weight

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<v Speaker 1>even combined, and not owning them will not materially change

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<v Speaker 1>your overall return. So I think the key here is

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<v Speaker 1>you want to be broadly diversified. You want to roughly

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<v Speaker 1>look like the market. But with customer indexing you can

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<v Speaker 1>then also make these adjustments and and you'll, yeah, you'll

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<v Speaker 1>perform a little bit differently, but that's sort of the

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<v Speaker 1>trade you're willing to make to customize something to your

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<v Speaker 1>specific circumstances and preferences. Again, so in my view this

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<v Speaker 1>all these arguments about like what is passive are just silly.

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<v Speaker 1>I mean, technically passive would just be a market cap

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<v Speaker 1>weighted total market every stock in the market um for

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<v Speaker 1>equities globally, but most of the things that people argue

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<v Speaker 1>about look very very close to that. So this feeds

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<v Speaker 1>into something I wanted to ask you. But with custom indexing,

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<v Speaker 1>what do people actually benchmark themselves against? Or does it

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<v Speaker 1>not really matter anymore? Like does your performance compared to

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<v Speaker 1>a broader index or a specific index like just not

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<v Speaker 1>come into the equation as much. So there's two ways

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<v Speaker 1>to do it, and they're both very very simple. One

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<v Speaker 1>is just to use a broad market index. It could

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<v Speaker 1>be the Russell three thousand, and it could be you know,

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<v Speaker 1>pick your pick your broad benchmark that's market cap weighted

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<v Speaker 1>and very simple to understand. The second would be sort

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<v Speaker 1>of a custom benchmark, and this would be used by

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<v Speaker 1>people who have a very clear deviation from something like

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<v Speaker 1>the Russell three thousand. I'm gonna make up an example.

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<v Speaker 1>Let's say someone's custom index is large cap sixty small cap,

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<v Speaker 1>which that's not what the market looks like at all.

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<v Speaker 1>The markets like large cap five percent small cap by

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<v Speaker 1>market cap. In that scenario, it really wouldn't make sense

0:11:58.120 --> 0:12:00.520
<v Speaker 1>to compare your performance because in this case, you are

0:12:00.559 --> 0:12:04.120
<v Speaker 1>making a very active allocation decision to be way overweight

0:12:04.160 --> 0:12:06.480
<v Speaker 1>small cap. So in that case you might just blend

0:12:06.480 --> 0:12:09.240
<v Speaker 1>a benchmark and say, my benchmark is going to you know,

0:12:09.400 --> 0:12:13.840
<v Speaker 1>sp Russell two thousand or some other small cap benchmark.

0:12:14.120 --> 0:12:18.240
<v Speaker 1>But in every case you're you're using simple, easy to understand,

0:12:18.400 --> 0:12:21.960
<v Speaker 1>broad market benchmarks in some combination or or alone to

0:12:22.120 --> 0:12:41.600
<v Speaker 1>use as your reference for how you're performing. I'm really

0:12:41.679 --> 0:12:44.960
<v Speaker 1>interested in what you said about, you know, if you

0:12:45.040 --> 0:12:46.880
<v Speaker 1>work in capital markets, or if you work in a

0:12:46.920 --> 0:12:49.840
<v Speaker 1>bank in some sort and you own bank stock to

0:12:49.840 --> 0:12:52.200
<v Speaker 1>your kind of like you know, you're kind of doing

0:12:52.240 --> 0:12:55.320
<v Speaker 1>the Texas hedge of betting on a sector that is

0:12:55.360 --> 0:12:58.560
<v Speaker 1>already probably responsible for a lot of your annual income,

0:12:59.480 --> 0:13:02.440
<v Speaker 1>and and so it maybe it may not make sense.

0:13:02.440 --> 0:13:04.280
<v Speaker 1>Can you talk a little bit more. I've always wondered

0:13:04.320 --> 0:13:08.959
<v Speaker 1>about this whether financial advisors think about this question and

0:13:09.000 --> 0:13:10.760
<v Speaker 1>when you and it's because i'd something I just like

0:13:10.800 --> 0:13:12.760
<v Speaker 1>popped into my head before, and that's the first time

0:13:12.760 --> 0:13:15.800
<v Speaker 1>I've heard someone talk about this and tailoring a portfolio

0:13:15.920 --> 0:13:19.120
<v Speaker 1>around someone's um, you know, normal income. Can you talk

0:13:19.160 --> 0:13:21.560
<v Speaker 1>a little bit more about how that's being used in

0:13:21.600 --> 0:13:25.440
<v Speaker 1>some of the ways you see that uh, potentially being used. Sure, so,

0:13:25.440 --> 0:13:28.319
<v Speaker 1>so what is the market but a collection of discounted

0:13:28.480 --> 0:13:30.920
<v Speaker 1>cash flows? You know, theoretically, and maybe there's some problems

0:13:30.960 --> 0:13:32.880
<v Speaker 1>with that conception, but if you look at the SMP five,

0:13:33.720 --> 0:13:35.560
<v Speaker 1>the value of each of those stocks and therefore of

0:13:35.600 --> 0:13:38.560
<v Speaker 1>your portfolio is the market's estimation of how all those

0:13:38.559 --> 0:13:40.679
<v Speaker 1>companies will do in the future, discounted at some rate

0:13:40.720 --> 0:13:43.040
<v Speaker 1>back to today, and that's that's the value of your portfolio.

0:13:43.400 --> 0:13:45.839
<v Speaker 1>Well why why should my human capital be any different

0:13:45.880 --> 0:13:48.640
<v Speaker 1>than that I've got, you know, fifty years or hopefully

0:13:48.640 --> 0:13:50.959
<v Speaker 1>more left to live and work, and there's going to

0:13:51.040 --> 0:13:53.560
<v Speaker 1>be cash flows that I generate from that. And when

0:13:53.559 --> 0:13:55.559
<v Speaker 1>I dig into where those cash flows are going to

0:13:55.640 --> 0:13:58.400
<v Speaker 1>come from, I couldn't be talking about what's one step

0:13:58.440 --> 0:14:01.040
<v Speaker 1>beyond the Texas hedge, like, wouldn't be more all in

0:14:01.760 --> 0:14:06.000
<v Speaker 1>on on capital markets, like the equity market specifically is

0:14:06.000 --> 0:14:09.240
<v Speaker 1>going to be a large determinant of how I do

0:14:09.559 --> 0:14:11.720
<v Speaker 1>in my human capital. So if I think of my

0:14:11.800 --> 0:14:14.560
<v Speaker 1>human capital as discounting my future cash flows into some

0:14:14.640 --> 0:14:17.319
<v Speaker 1>value today, often that is worth a lot more to

0:14:17.440 --> 0:14:20.920
<v Speaker 1>people than they're they're brokerage portfolio is if you actually

0:14:20.920 --> 0:14:23.520
<v Speaker 1>did the math and I certainly think it is in

0:14:23.520 --> 0:14:26.680
<v Speaker 1>my case, So why would I have more exposure to

0:14:26.920 --> 0:14:29.720
<v Speaker 1>the same risk profile that determines you know, a large

0:14:29.800 --> 0:14:32.720
<v Speaker 1>chunk of my human capital portfolio, let's call it. And

0:14:32.840 --> 0:14:36.120
<v Speaker 1>I think simple adjustments like that are just intuitive. It

0:14:36.200 --> 0:14:38.960
<v Speaker 1>just makes sense to me. Um. And you can certainly

0:14:38.960 --> 0:14:40.760
<v Speaker 1>demonstrate it, you know, if you if you do some

0:14:40.960 --> 0:14:43.720
<v Speaker 1>napkin math, you can say, yeah, like, I don't really like,

0:14:43.800 --> 0:14:45.680
<v Speaker 1>let's go back to oh eight, if I if I'm

0:14:45.720 --> 0:14:48.440
<v Speaker 1>working at Lehman. Uh, And it's a ridiculous example, of

0:14:48.480 --> 0:14:51.120
<v Speaker 1>course in hindsight. But if I'm working at Lehman, like,

0:14:51.160 --> 0:14:53.560
<v Speaker 1>it's pretty obvious where my risk is bundled up and

0:14:53.680 --> 0:14:55.760
<v Speaker 1>I don't want more of that same risk. So if

0:14:55.960 --> 0:14:59.040
<v Speaker 1>if indexing in part is great because of diversification, I

0:14:59.080 --> 0:15:01.280
<v Speaker 1>think this is just one way to add another asset

0:15:01.320 --> 0:15:04.200
<v Speaker 1>to the mix, which is your own, your own learnings. Yeah,

0:15:04.280 --> 0:15:06.040
<v Speaker 1>so Joe and I are going to have to steal

0:15:06.280 --> 0:15:11.080
<v Speaker 1>steer clear of financial data stocks. And actually that reminds

0:15:11.120 --> 0:15:14.040
<v Speaker 1>me no facts set for you. I should just mention

0:15:14.280 --> 0:15:18.120
<v Speaker 1>um that Bloomberg does have its own indexing business. In

0:15:18.160 --> 0:15:21.480
<v Speaker 1>the interests of transparency. Um. So now that I've got

0:15:21.480 --> 0:15:23.520
<v Speaker 1>that disclaimer out of the way. Um, one thing I

0:15:23.560 --> 0:15:26.320
<v Speaker 1>wanted to ask was, can you give us an example

0:15:26.480 --> 0:15:30.720
<v Speaker 1>of like the most interesting or unusual custom index that

0:15:31.040 --> 0:15:35.040
<v Speaker 1>you've seen in your time in the space. Sure, so, well,

0:15:35.200 --> 0:15:37.320
<v Speaker 1>I guess the first thing I would say, at an

0:15:37.320 --> 0:15:41.000
<v Speaker 1>even higher level is how popular customization is. So we

0:15:41.080 --> 0:15:43.160
<v Speaker 1>built this platform. It's a web it's software. It's a

0:15:43.200 --> 0:15:45.720
<v Speaker 1>web based platform. So you think about it like building

0:15:45.760 --> 0:15:47.440
<v Speaker 1>a car. So go to like Tesla dot com and

0:15:47.480 --> 0:15:49.880
<v Speaker 1>go through the experience of building a car. There's an

0:15:49.920 --> 0:15:52.400
<v Speaker 1>interior next year, you can you know, tune all these

0:15:52.440 --> 0:15:55.240
<v Speaker 1>old dials or choose options. It feels like that to

0:15:55.240 --> 0:15:58.320
<v Speaker 1>build a customer index with with a bit more options.

0:15:58.360 --> 0:16:01.480
<v Speaker 1>So we don't we don't anyone to do anything, you know,

0:16:01.560 --> 0:16:03.960
<v Speaker 1>the default, Our default would be that you buy the

0:16:04.000 --> 0:16:06.640
<v Speaker 1>broad market, right, that you don't do any customization, that

0:16:06.720 --> 0:16:08.800
<v Speaker 1>you just do low cost indexing, maybe with some tax

0:16:08.880 --> 0:16:12.080
<v Speaker 1>loss harvesting. And we went into this not knowing what

0:16:12.120 --> 0:16:14.720
<v Speaker 1>people would do with this platform. That's the beauty of platforms,

0:16:14.720 --> 0:16:16.680
<v Speaker 1>I think, is to be surprised by how they're used.

0:16:17.240 --> 0:16:18.920
<v Speaker 1>And now we're you know, a year and a half

0:16:19.240 --> 0:16:21.160
<v Speaker 1>click getting in on two years in, we're about two

0:16:21.160 --> 0:16:25.280
<v Speaker 1>billion in assets or approaching that number today on the platform,

0:16:25.520 --> 0:16:29.280
<v Speaker 1>and fully eight or so of the of the indexes

0:16:29.320 --> 0:16:31.960
<v Speaker 1>that are designed are completely unique, meaning they're not they

0:16:32.000 --> 0:16:35.200
<v Speaker 1>have they have different settings than any other custom index

0:16:35.240 --> 0:16:37.680
<v Speaker 1>that's been built to date on the platform. And I

0:16:37.680 --> 0:16:39.640
<v Speaker 1>would definitely I would have taken the under on that.

0:16:39.680 --> 0:16:42.400
<v Speaker 1>Had you set the line at will be fully customed,

0:16:42.760 --> 0:16:44.520
<v Speaker 1>I definitely would have said it's going to be way

0:16:44.560 --> 0:16:46.360
<v Speaker 1>less than that. There's going to be more you know,

0:16:46.440 --> 0:16:49.920
<v Speaker 1>clumpiness around what people do. So I guess the first

0:16:49.920 --> 0:16:53.040
<v Speaker 1>big point is like people really use the customization features,

0:16:53.440 --> 0:16:55.440
<v Speaker 1>and we we've been blown away by some of the

0:16:55.440 --> 0:16:58.760
<v Speaker 1>stuff that people ask us if they can adjust for UM.

0:16:58.880 --> 0:17:01.840
<v Speaker 1>So some thing's are in taxes, So they might say,

0:17:02.000 --> 0:17:05.560
<v Speaker 1>I want to pay zero dollars in capital gains gross.

0:17:06.000 --> 0:17:08.199
<v Speaker 1>I want you to generate a single gain for me.

0:17:08.240 --> 0:17:12.040
<v Speaker 1>I refused to pay taxes. Others might. Others have said, look,

0:17:12.080 --> 0:17:14.320
<v Speaker 1>we're willing to We're willing to spend a hundred thousand

0:17:14.359 --> 0:17:16.960
<v Speaker 1>dollars on capital gains taxes, so do everything you can

0:17:17.359 --> 0:17:20.520
<v Speaker 1>inside that absolute dollar budget. UM. One person came to

0:17:20.560 --> 0:17:22.919
<v Speaker 1>us and said, we don't want to own companies that

0:17:23.040 --> 0:17:26.879
<v Speaker 1>produce sugary drinks because one of our key focuses as

0:17:26.920 --> 0:17:31.640
<v Speaker 1>a family is to avoid or help ameliorate the obesity epidemic,

0:17:31.720 --> 0:17:34.000
<v Speaker 1>and we think sugary drinks are the prime culprit. So

0:17:34.040 --> 0:17:36.600
<v Speaker 1>we had to build a custom quantitative screen for that.

0:17:36.880 --> 0:17:39.399
<v Speaker 1>We've had people say, look, I've got all these and

0:17:39.400 --> 0:17:41.480
<v Speaker 1>this is a more advanced feature that wouldn't be broadly

0:17:41.480 --> 0:17:44.040
<v Speaker 1>available right now, but what we can do. We we've

0:17:44.080 --> 0:17:47.560
<v Speaker 1>got this huge private equity portfolio and clearly kind of

0:17:47.600 --> 0:17:49.639
<v Speaker 1>like the human capital example, I gave like, we've got

0:17:49.640 --> 0:17:52.720
<v Speaker 1>a lot of risk in these fifty portfolio companies, but

0:17:52.760 --> 0:17:55.080
<v Speaker 1>we don't really know how to map them onto public equities.

0:17:55.119 --> 0:17:56.879
<v Speaker 1>Can you do that? And that's where you know, the

0:17:56.920 --> 0:17:59.919
<v Speaker 1>fancier like machine learning modeling type stuff can come in

0:18:00.040 --> 0:18:02.600
<v Speaker 1>and create something really cool so that we can avoid

0:18:02.640 --> 0:18:05.640
<v Speaker 1>public equities that look very very similar when we model

0:18:05.720 --> 0:18:08.199
<v Speaker 1>them to the private equity portfolio. You know, that's just

0:18:08.240 --> 0:18:11.359
<v Speaker 1>four examples, but it's kind of constant, like every everyone

0:18:11.400 --> 0:18:13.880
<v Speaker 1>that we meet, every new client that we bring on,

0:18:14.359 --> 0:18:16.960
<v Speaker 1>has some new question in the form of you know,

0:18:17.000 --> 0:18:19.840
<v Speaker 1>can it also do X? And so I just think

0:18:19.840 --> 0:18:23.359
<v Speaker 1>what we're what we're seeing live is a huge latent

0:18:23.400 --> 0:18:27.040
<v Speaker 1>demand for customization that has gone unfulfilled for a long time,

0:18:27.080 --> 0:18:28.480
<v Speaker 1>so no one talks about it. But I think you'll

0:18:28.480 --> 0:18:30.920
<v Speaker 1>see an explosion of these platforms in the next couple

0:18:30.960 --> 0:18:34.520
<v Speaker 1>of years. Can you talk a little bit more about

0:18:34.640 --> 0:18:37.120
<v Speaker 1>the sort of I don't know, maybe it's trading tech

0:18:37.320 --> 0:18:39.880
<v Speaker 1>or the sort of like other platforms necessary to make

0:18:39.880 --> 0:18:43.520
<v Speaker 1>this work, because, as I mentioned in the introduction, you know,

0:18:43.680 --> 0:18:47.080
<v Speaker 1>even if you go back long enough, by even buying

0:18:47.160 --> 0:18:50.000
<v Speaker 1>just the straight up S ANDP five would would not

0:18:50.040 --> 0:18:52.879
<v Speaker 1>have been a trivial exercise at all for an individual.

0:18:52.920 --> 0:18:56.560
<v Speaker 1>No one can sort of like buys and rebalance them, etcetera.

0:18:56.760 --> 0:18:59.800
<v Speaker 1>And of course that got productized and now it's easy.

0:19:00.160 --> 0:19:01.800
<v Speaker 1>But like, okay, let's say I want to buy I

0:19:01.840 --> 0:19:05.480
<v Speaker 1>don't know how many financials are in the SMP five hundred,

0:19:05.560 --> 0:19:06.920
<v Speaker 1>but let's say I want to buy you know, four

0:19:07.000 --> 0:19:11.080
<v Speaker 1>hundred and sixty of the spire excluding all the financials.

0:19:11.480 --> 0:19:13.600
<v Speaker 1>Could you talk a little bit about the text act

0:19:13.720 --> 0:19:16.680
<v Speaker 1>that makes it possible for someone to set that index

0:19:17.119 --> 0:19:20.679
<v Speaker 1>using your software or any software, and then how that

0:19:20.880 --> 0:19:24.080
<v Speaker 1>how it can after that decision has made get the

0:19:24.119 --> 0:19:27.480
<v Speaker 1>sort of like you know, cheap trading and replication of

0:19:27.840 --> 0:19:30.960
<v Speaker 1>that part of the index. Sure, and it brings to

0:19:31.040 --> 0:19:34.399
<v Speaker 1>mind a really cool idea from a gentleman named Eric Bistria,

0:19:34.480 --> 0:19:38.159
<v Speaker 1>who's an early stage technology investator from called Benchmark. He

0:19:38.280 --> 0:19:41.520
<v Speaker 1>uses this term competitive frontier, which is the sort of

0:19:41.560 --> 0:19:45.000
<v Speaker 1>the battlegrounds if you will, that an industry will fight

0:19:45.119 --> 0:19:47.719
<v Speaker 1>on and where things will be lost or one. So

0:19:47.760 --> 0:19:50.160
<v Speaker 1>you have to be good in these competitive frontiers to

0:19:50.160 --> 0:19:53.320
<v Speaker 1>to compete in a changing era. I think those two

0:19:53.359 --> 0:19:55.960
<v Speaker 1>competitive frontiers for for this segment of the market for

0:19:56.000 --> 0:20:00.160
<v Speaker 1>indexing and and of course custom indexing are quantitative research

0:20:00.200 --> 0:20:03.840
<v Speaker 1>and software development, and those are very different probably than

0:20:04.000 --> 0:20:07.880
<v Speaker 1>what has won or determined the winners in indexing at

0:20:07.960 --> 0:20:11.160
<v Speaker 1>large for a very long time. And it's the answer

0:20:11.200 --> 0:20:13.520
<v Speaker 1>to your question, which is that it requires a lot

0:20:13.760 --> 0:20:18.600
<v Speaker 1>of technology. We honestly sort of fell backwards into this

0:20:18.680 --> 0:20:22.920
<v Speaker 1>opportunity because we just by luck, had built so much

0:20:23.240 --> 0:20:26.399
<v Speaker 1>trading software for our our core firm, which is a quantitative,

0:20:26.680 --> 0:20:30.440
<v Speaker 1>quantitative investing firm over the last you know, ten plus years.

0:20:30.800 --> 0:20:33.480
<v Speaker 1>So we were a quant firm that was managing active

0:20:33.520 --> 0:20:37.159
<v Speaker 1>strategies that managed thousands and thousands of separate accounts. To

0:20:37.200 --> 0:20:39.800
<v Speaker 1>be able to do that at scale across brokerages and

0:20:39.840 --> 0:20:43.520
<v Speaker 1>across custodians, etcetera, you have to build software that you

0:20:43.520 --> 0:20:46.239
<v Speaker 1>can't do it manually with a database. So we had

0:20:46.240 --> 0:20:49.959
<v Speaker 1>built we had built an entirely custom piece of trading software,

0:20:49.960 --> 0:20:52.960
<v Speaker 1>an entirely custom piece of something called workbenches is like

0:20:53.000 --> 0:20:55.960
<v Speaker 1>account management and settings management software for all of our

0:20:56.119 --> 0:21:00.280
<v Speaker 1>separate account strategies. Um, so it requires the technolo alogy

0:21:00.280 --> 0:21:02.560
<v Speaker 1>that I talked about, like building a Tesla, that's just

0:21:02.640 --> 0:21:05.280
<v Speaker 1>the front end that sits on top of these other systems.

0:21:05.760 --> 0:21:08.840
<v Speaker 1>And so so I think that the answer is a lot.

0:21:08.880 --> 0:21:12.600
<v Speaker 1>It requires a lot. It's it's effectively pure software and

0:21:12.600 --> 0:21:16.119
<v Speaker 1>technology that's required. And the twist on this is that

0:21:16.200 --> 0:21:18.040
<v Speaker 1>to be really good at this, you have to be

0:21:18.040 --> 0:21:21.400
<v Speaker 1>good at quantitative research, which is just different than software development.

0:21:21.720 --> 0:21:24.400
<v Speaker 1>Bring the best software development people in the world, they're

0:21:24.400 --> 0:21:25.720
<v Speaker 1>not going to be able to do some of the

0:21:25.760 --> 0:21:29.520
<v Speaker 1>stuff that's required for custom indexing. That's a data science function.

0:21:29.920 --> 0:21:32.120
<v Speaker 1>And that's the second function that I think is will

0:21:32.119 --> 0:21:36.760
<v Speaker 1>be critically important. So just on the competitive frontier idea,

0:21:36.960 --> 0:21:39.240
<v Speaker 1>I mean, there has been a lot of activity in

0:21:39.320 --> 0:21:43.119
<v Speaker 1>the direct indexing space um which we mentioned intro. But

0:21:43.280 --> 0:21:45.840
<v Speaker 1>you know, I think JP Morgan bought open invest and

0:21:46.000 --> 0:21:50.040
<v Speaker 1>black Rock and Morgan Stanley have also been buying indux platforms.

0:21:50.480 --> 0:21:54.480
<v Speaker 1>How intense is the competition at the moment. What are

0:21:54.480 --> 0:22:00.600
<v Speaker 1>the sort of variations in strategies being pursued by different players? Uh?

0:22:00.640 --> 0:22:03.760
<v Speaker 1>And and what can make you sort of stand out

0:22:03.760 --> 0:22:07.760
<v Speaker 1>from the crowd, like what makes a custom index platform

0:22:07.960 --> 0:22:13.320
<v Speaker 1>better than another one? So so direct indexing to define that,

0:22:13.440 --> 0:22:15.760
<v Speaker 1>since we've used the term a few times, I think

0:22:15.800 --> 0:22:18.960
<v Speaker 1>of as picking a reference index supplied by somebody else,

0:22:19.080 --> 0:22:21.320
<v Speaker 1>S and P Russell and S C I whatever, and

0:22:21.320 --> 0:22:24.399
<v Speaker 1>then running a tax loss harvesting strategy on top of it.

0:22:24.640 --> 0:22:27.560
<v Speaker 1>And sometimes that's just you know, simple market cap index

0:22:27.680 --> 0:22:30.479
<v Speaker 1>is probably most of the assets indirect indexing firms like

0:22:30.520 --> 0:22:34.080
<v Speaker 1>a Parametric or Imperio which were bought as you mentioned

0:22:34.080 --> 0:22:37.000
<v Speaker 1>by some of the big players. That it's it's very simple.

0:22:37.040 --> 0:22:39.440
<v Speaker 1>You just try to generate after tax returns. You sell

0:22:39.840 --> 0:22:43.119
<v Speaker 1>positions at a loss. It's a complicated optimization and algorithm

0:22:43.119 --> 0:22:44.800
<v Speaker 1>to be clear, so it requires a lot of work

0:22:44.840 --> 0:22:47.240
<v Speaker 1>on their part, but it's it's sort of one thing

0:22:47.280 --> 0:22:50.040
<v Speaker 1>that you can do. Uh. In a portfolio, I think

0:22:50.040 --> 0:22:53.439
<v Speaker 1>of customer indexing is the natural next uh progression in that.

0:22:53.520 --> 0:22:55.719
<v Speaker 1>So if if if we're painting on a blank canvas,

0:22:55.760 --> 0:22:57.960
<v Speaker 1>so to speak, as a reason we call our system canvas.

0:22:58.320 --> 0:23:00.200
<v Speaker 1>If you're planning on a blank canvas, direct indect seeing

0:23:00.200 --> 0:23:01.760
<v Speaker 1>a sort of like one tube of paint. It's it's

0:23:01.760 --> 0:23:04.040
<v Speaker 1>one of the things that you can do in your portfolio.

0:23:04.600 --> 0:23:08.040
<v Speaker 1>I think for us, staying competitive and being competitive first

0:23:08.119 --> 0:23:10.680
<v Speaker 1>was arriving at the party first or getting the party started.

0:23:11.040 --> 0:23:14.120
<v Speaker 1>So most of those direct indexing firms can't do anything

0:23:14.280 --> 0:23:17.320
<v Speaker 1>remotely close to the kind of customization driven by our

0:23:17.400 --> 0:23:20.760
<v Speaker 1>quant research capabilities that that I've described so far. So

0:23:21.119 --> 0:23:23.080
<v Speaker 1>you can you basically get to pick your index and

0:23:23.080 --> 0:23:25.919
<v Speaker 1>and that's that's your pick. But it's typically supplied by

0:23:25.920 --> 0:23:28.280
<v Speaker 1>a third party. Our viue is it should be first party,

0:23:28.280 --> 0:23:30.720
<v Speaker 1>Like we should design these things, not not SMP. We

0:23:30.760 --> 0:23:32.240
<v Speaker 1>can move a lot faster, we can be a lot

0:23:32.320 --> 0:23:34.520
<v Speaker 1>more specific to the individual. We can we can use

0:23:34.520 --> 0:23:37.840
<v Speaker 1>our quant research muscle to do so. So those two

0:23:37.880 --> 0:23:40.359
<v Speaker 1>competitive frontiers are what we're focused on. Like, if you

0:23:40.359 --> 0:23:42.560
<v Speaker 1>look at who are hiring our last you know five

0:23:42.640 --> 0:23:47.480
<v Speaker 1>hires are three software developers to quantitative research experts, and

0:23:47.520 --> 0:23:50.679
<v Speaker 1>if we can keep pushing the envelope on what we

0:23:50.760 --> 0:23:53.720
<v Speaker 1>can do at low cost. We haven't talked about costs,

0:23:53.720 --> 0:23:56.080
<v Speaker 1>but these things are are very low cost. What we

0:23:56.080 --> 0:23:58.200
<v Speaker 1>can do at low costs, then we should stay at

0:23:58.200 --> 0:24:01.440
<v Speaker 1>the at the forefront of this trend. Can you actually

0:24:01.520 --> 0:24:05.000
<v Speaker 1>just explain a little bit further the quant researching component.

0:24:05.040 --> 0:24:08.080
<v Speaker 1>I mean, you mentioned the two component trading software and

0:24:08.240 --> 0:24:10.960
<v Speaker 1>quand I kind of I think I intuitively get the

0:24:10.960 --> 0:24:14.880
<v Speaker 1>trading software. Look, talk a little bit more about um

0:24:15.000 --> 0:24:17.919
<v Speaker 1>what the quant research aspect is and why that's so

0:24:18.000 --> 0:24:20.040
<v Speaker 1>pivotal to make this work. Yeah, you know, I think

0:24:20.080 --> 0:24:22.480
<v Speaker 1>this is something way beyond just investing too. You're you're

0:24:22.480 --> 0:24:26.199
<v Speaker 1>seeing data science pop up as something that used to

0:24:26.200 --> 0:24:27.760
<v Speaker 1>be no one talked about or knew what it was.

0:24:27.800 --> 0:24:30.320
<v Speaker 1>Now it's a central function in like every company, and

0:24:30.480 --> 0:24:35.320
<v Speaker 1>it's not complicated, it's very simple. There there's some quantitative outcome,

0:24:35.560 --> 0:24:38.400
<v Speaker 1>some measurable outcome that matters to people, and I'm talking

0:24:38.440 --> 0:24:41.240
<v Speaker 1>big picture here, not just investing, and you you build

0:24:41.240 --> 0:24:43.760
<v Speaker 1>a model that that does a good job of predicting

0:24:43.760 --> 0:24:46.960
<v Speaker 1>that outcome. And this happened in sports with the moneyball trend.

0:24:47.040 --> 0:24:49.520
<v Speaker 1>You know, we figured out that obviously you want runs,

0:24:49.560 --> 0:24:50.800
<v Speaker 1>you want to score points, and you don't want to

0:24:50.800 --> 0:24:52.560
<v Speaker 1>give up you don't want to give up runs in

0:24:52.600 --> 0:24:55.480
<v Speaker 1>any sport, and certain things relate to that. On base

0:24:55.520 --> 0:24:59.359
<v Speaker 1>percentage was the example in in moneyball. In in public

0:24:59.400 --> 0:25:01.920
<v Speaker 1>market invest you want good returns, but there's other things

0:25:01.920 --> 0:25:04.600
<v Speaker 1>you want to So anything that you can target, that

0:25:04.640 --> 0:25:08.040
<v Speaker 1>could be companies that sell sugary drinks, well that's a

0:25:08.200 --> 0:25:10.760
<v Speaker 1>that's a measurable outcome. It's hard. You have to get

0:25:10.840 --> 0:25:13.080
<v Speaker 1>data sets, you have to build data sets um but

0:25:13.160 --> 0:25:17.679
<v Speaker 1>you can build predictive models for outcomes that matter or

0:25:17.720 --> 0:25:20.679
<v Speaker 1>information that matters to the individual. And every time you

0:25:20.760 --> 0:25:23.560
<v Speaker 1>do that, you're adding an arrow to your quiver. So

0:25:23.760 --> 0:25:26.240
<v Speaker 1>once we did that, Once the next family that comes

0:25:26.280 --> 0:25:28.080
<v Speaker 1>to us and says we don't want to own sugary drinks,

0:25:28.160 --> 0:25:29.960
<v Speaker 1>we don't have to rebuild that thing from scratch. We

0:25:30.000 --> 0:25:33.760
<v Speaker 1>have the model already. Same thing for the tax loss optimization.

0:25:34.200 --> 0:25:36.399
<v Speaker 1>Every time you build a new model, you sort of

0:25:36.440 --> 0:25:40.760
<v Speaker 1>expand what your platform can do. And quantitative researchers that's

0:25:40.800 --> 0:25:43.280
<v Speaker 1>all they do all day. So they say it's very

0:25:43.320 --> 0:25:45.880
<v Speaker 1>simple terms. There's three things that matter. There's the outcome

0:25:46.200 --> 0:25:49.080
<v Speaker 1>that's called the label in in the data science parlance.

0:25:49.400 --> 0:25:52.119
<v Speaker 1>There's the inputs, the features, what what things are going

0:25:52.160 --> 0:25:55.119
<v Speaker 1>to predict the outcome that we care about and how?

0:25:55.160 --> 0:25:57.359
<v Speaker 1>And what is the model itself. It's you know, people

0:25:57.480 --> 0:25:59.800
<v Speaker 1>listening probably are familiar with something very simple like living

0:25:59.800 --> 0:26:02.600
<v Speaker 1>your aggression or a linear model. These are just much

0:26:02.640 --> 0:26:04.600
<v Speaker 1>fancier models. That's that's all you have to really know

0:26:04.640 --> 0:26:07.600
<v Speaker 1>about it. So there's inputs, there's the model, there's outputs.

0:26:08.080 --> 0:26:10.359
<v Speaker 1>You have to be expert at building those things and

0:26:10.400 --> 0:26:13.080
<v Speaker 1>those three parts of a model and then offering those

0:26:13.119 --> 0:26:16.680
<v Speaker 1>effectively as services or products. To build a custom index

0:26:16.720 --> 0:26:18.680
<v Speaker 1>in this case, or you know, predict what clothes you're

0:26:18.680 --> 0:26:20.520
<v Speaker 1>gonna like in the case of something like stitch fix

0:26:20.680 --> 0:26:22.720
<v Speaker 1>or whatever. It's a function that we just think will

0:26:22.760 --> 0:26:25.800
<v Speaker 1>be embedded everywhere. What does this mean for e t

0:26:26.000 --> 0:26:28.840
<v Speaker 1>f s and mutual funds and the sort of traditional

0:26:29.000 --> 0:26:32.720
<v Speaker 1>players of fund management, because I imagine, as you just mentioned,

0:26:32.800 --> 0:26:35.480
<v Speaker 1>you know this idea that if you build one custom index,

0:26:35.520 --> 0:26:38.119
<v Speaker 1>basically you've created a new product that you can then

0:26:38.240 --> 0:26:41.800
<v Speaker 1>roll out to additional clients. So it seems like a

0:26:41.800 --> 0:26:45.560
<v Speaker 1>pretty efficient way to create you know, almost an infinite

0:26:45.680 --> 0:26:51.000
<v Speaker 1>number of indexes which on the surface would would seem

0:26:51.080 --> 0:26:55.240
<v Speaker 1>to um potentially threaten or at least compete with ETFs

0:26:55.280 --> 0:26:59.960
<v Speaker 1>and mutual funds. I think if you narrow two taxable

0:27:00.040 --> 0:27:04.040
<v Speaker 1>investors where the the underlying strategy that's being designed or

0:27:04.080 --> 0:27:08.359
<v Speaker 1>implemented has has an annual turnover of twenty or less,

0:27:08.440 --> 0:27:11.360
<v Speaker 1>which is sort of the crossover point for taxes, that

0:27:11.440 --> 0:27:13.080
<v Speaker 1>this is a huge threat to e t f s.

0:27:13.400 --> 0:27:15.960
<v Speaker 1>There in my mind, there's really no reason, especially as

0:27:16.000 --> 0:27:18.280
<v Speaker 1>costs continue to fall, and it's not like they're that

0:27:18.359 --> 0:27:21.200
<v Speaker 1>far apart anyway. You know, our lowest prices twenty basis

0:27:21.240 --> 0:27:24.280
<v Speaker 1>points today, um so that additional let's call it ten

0:27:24.359 --> 0:27:26.280
<v Speaker 1>basis points that we might get down to over the

0:27:26.280 --> 0:27:28.880
<v Speaker 1>next ten years. I mean, you comp on ten basis

0:27:28.920 --> 0:27:31.600
<v Speaker 1>points over time, it's not a huge difference. And so

0:27:31.760 --> 0:27:34.120
<v Speaker 1>we're pretty close on cost already. And if you think

0:27:34.160 --> 0:27:40.760
<v Speaker 1>about that whole segment of UH turnover would qualify for

0:27:40.800 --> 0:27:43.119
<v Speaker 1>that and taxable investors that own e t f s,

0:27:43.280 --> 0:27:49.160
<v Speaker 1>that is a huge segment of the market. Now above turnover,

0:27:49.400 --> 0:27:52.560
<v Speaker 1>ETFs remain and I think will remain thanks to the

0:27:52.880 --> 0:27:55.000
<v Speaker 1>sort of law of tax law that governs them the

0:27:55.119 --> 0:27:58.520
<v Speaker 1>ultimate app right, there's just there's there's no beating. Let's

0:27:58.520 --> 0:28:00.960
<v Speaker 1>say you want to invest in a pure momentum strategy

0:28:01.000 --> 0:28:03.480
<v Speaker 1>or something that has a PC annual turnover. There's just

0:28:03.560 --> 0:28:05.240
<v Speaker 1>no better rapper than the e t F because you

0:28:05.280 --> 0:28:08.360
<v Speaker 1>don't have to pay the ongoing taxes as a taxable investor.

0:28:08.760 --> 0:28:11.119
<v Speaker 1>So high turnover strategies I think will always and should

0:28:11.119 --> 0:28:13.280
<v Speaker 1>always live in an e t F S for the

0:28:13.280 --> 0:28:16.640
<v Speaker 1>most part, unless you know, deep customization is really important

0:28:16.800 --> 0:28:19.160
<v Speaker 1>to the investor, in which case they may go custom

0:28:19.200 --> 0:28:22.600
<v Speaker 1>index but below that threshold. And this applies to mutual

0:28:22.640 --> 0:28:24.720
<v Speaker 1>funds too, you know, more of which are converting to

0:28:24.760 --> 0:28:26.679
<v Speaker 1>e t f s or will in the future. I

0:28:26.720 --> 0:28:28.960
<v Speaker 1>think this is a huge This is a huge and

0:28:29.080 --> 0:28:32.760
<v Speaker 1>important uh move and shift, And obviously it's counterpositioned. E

0:28:32.840 --> 0:28:35.600
<v Speaker 1>t F providers other than going into the custom indexing

0:28:35.640 --> 0:28:38.560
<v Speaker 1>business cannot compete against this. I mean, it's the rapper

0:28:38.680 --> 0:28:43.160
<v Speaker 1>itself by definition does not allow for customization. So Patrick,

0:28:43.200 --> 0:28:45.360
<v Speaker 1>I want to uh, you know, I think of you

0:28:45.520 --> 0:28:49.600
<v Speaker 1>as someone who's just sort of like the ultimate markets

0:28:49.640 --> 0:28:53.440
<v Speaker 1>and business omnivore. And even like when Tracy did the intro,

0:28:53.520 --> 0:28:56.200
<v Speaker 1>I mean well, would you have like four titles I

0:28:56.240 --> 0:29:00.960
<v Speaker 1>think you mentioned, including host of a podcast that's a

0:29:01.000 --> 0:29:04.200
<v Speaker 1>competitor to ours, you know, not all partners here but

0:29:04.320 --> 0:29:06.320
<v Speaker 1>uh but no, but in all series is you have

0:29:06.360 --> 0:29:10.560
<v Speaker 1>like an extraordinary like broad ray of interest. And it's

0:29:10.640 --> 0:29:13.880
<v Speaker 1>evident to anyone who follows you. And I'm kind of

0:29:13.920 --> 0:29:16.400
<v Speaker 1>like jealous, I would say, of how open minded you are,

0:29:16.560 --> 0:29:21.040
<v Speaker 1>and whether it's like VC investing or crypto or n

0:29:21.120 --> 0:29:23.360
<v Speaker 1>f T S or anything. I think you just like

0:29:23.520 --> 0:29:25.720
<v Speaker 1>exhibit this sort of like first to learn more. And

0:29:26.160 --> 0:29:27.800
<v Speaker 1>you know, I said in the intro, and I really

0:29:27.920 --> 0:29:31.200
<v Speaker 1>felt this like my career, like as a journalist, really

0:29:31.200 --> 0:29:33.800
<v Speaker 1>started in the wake of a great, great financial crisis.

0:29:34.360 --> 0:29:37.320
<v Speaker 1>You know, like we're just like hammered home this idea

0:29:37.320 --> 0:29:41.440
<v Speaker 1>of like passive passive passive by the index. Forget about it.

0:29:41.760 --> 0:29:44.760
<v Speaker 1>Don't buy individual stocks, don't try to time the market,

0:29:44.600 --> 0:29:46.760
<v Speaker 1>don't try to beat the market. Put some of your

0:29:46.760 --> 0:29:49.640
<v Speaker 1>paycheck at an index fund every two weeks or whatever

0:29:49.800 --> 0:29:51.520
<v Speaker 1>and just said it and forget it and look at

0:29:51.560 --> 0:29:53.640
<v Speaker 1>your four one K maybe twice a year or whatever. Okay,

0:29:53.640 --> 0:29:56.280
<v Speaker 1>so we all know that obviously we live now in

0:29:56.320 --> 0:29:58.440
<v Speaker 1>this world of people buying all kinds of stuff, and

0:29:58.440 --> 0:30:01.040
<v Speaker 1>you've like really dived head first into that. How do

0:30:01.080 --> 0:30:03.800
<v Speaker 1>you think about this question of like, Okay, all the

0:30:03.960 --> 0:30:06.960
<v Speaker 1>academic research says do X and don't try to time

0:30:07.000 --> 0:30:08.560
<v Speaker 1>the market, but we have a lot of people who

0:30:08.600 --> 0:30:10.880
<v Speaker 1>are interested in all this other stuff. How do you

0:30:10.920 --> 0:30:14.200
<v Speaker 1>think about this sort of like tension and how people

0:30:14.280 --> 0:30:19.520
<v Speaker 1>should think about incorporating sort of more concentrated, riskier, far

0:30:19.600 --> 0:30:23.000
<v Speaker 1>out of the risk curve ideas and bets into their portfolio.

0:30:23.440 --> 0:30:26.520
<v Speaker 1>It's a great question, obviously an animating one for me

0:30:26.840 --> 0:30:29.160
<v Speaker 1>when I spend all my time thinking about, you know,

0:30:29.640 --> 0:30:32.360
<v Speaker 1>at my own portfolio. I you know, I'm involved in

0:30:32.400 --> 0:30:35.800
<v Speaker 1>a lot of people's portfolios. It's it's so interesting and important,

0:30:36.400 --> 0:30:38.400
<v Speaker 1>I think, honestly, I think the answer is there's a

0:30:38.400 --> 0:30:40.640
<v Speaker 1>lot of room for all this stuff in in our

0:30:40.680 --> 0:30:43.960
<v Speaker 1>lives and our careers and our portfolios, and that some

0:30:44.440 --> 0:30:48.680
<v Speaker 1>large component of low cost broad market exposure is appropriate

0:30:48.720 --> 0:30:52.800
<v Speaker 1>advice for just about anybody. And I have to say,

0:30:52.840 --> 0:30:55.160
<v Speaker 1>like when I was at when I was thinking learning

0:30:55.160 --> 0:30:57.760
<v Speaker 1>about all this stuff in the early days, the passive

0:30:57.800 --> 0:30:59.920
<v Speaker 1>thing makes complete sense to me. But it's also remark

0:31:00.000 --> 0:31:02.840
<v Speaker 1>comply boring from a career standpoint. I mean like, Okay,

0:31:02.920 --> 0:31:04.560
<v Speaker 1>you can say that and become convinced of it, but

0:31:04.600 --> 0:31:07.280
<v Speaker 1>then go work and you know, manufacturing or something like.

0:31:07.320 --> 0:31:09.880
<v Speaker 1>There's nothing left to do, right. You just described the whole,

0:31:10.080 --> 0:31:13.200
<v Speaker 1>the whole strategy in thirty seconds. And look, I think

0:31:13.200 --> 0:31:16.040
<v Speaker 1>that strategy for like literally for everybody or for the

0:31:16.080 --> 0:31:19.320
<v Speaker 1>vast majority of people is incredibly smart and will produce

0:31:19.360 --> 0:31:24.400
<v Speaker 1>good outcomes. Um, but it's fundamentally ignoring things that are

0:31:24.480 --> 0:31:27.800
<v Speaker 1>changing rapidly where you can access them via an index fund.

0:31:28.320 --> 0:31:30.400
<v Speaker 1>You know, you cannot buy some crypto in these kind

0:31:30.440 --> 0:31:33.600
<v Speaker 1>of cool index like structures, but you certainly can't access

0:31:33.640 --> 0:31:36.280
<v Speaker 1>let's say, early stage technology companies. That's something I'm very

0:31:36.320 --> 0:31:39.680
<v Speaker 1>interested in. I spend most of my time in investing

0:31:39.680 --> 0:31:44.240
<v Speaker 1>in building thinking about software. And I can buy a

0:31:44.280 --> 0:31:46.400
<v Speaker 1>software e t F I suppose, But to me, it's

0:31:46.400 --> 0:31:48.920
<v Speaker 1>far more interesting to build a variety of software companies

0:31:48.920 --> 0:31:51.480
<v Speaker 1>like Canvas. It's far more interesting to form a VC,

0:31:51.600 --> 0:31:53.880
<v Speaker 1>which I did, to invest in early stage companies and

0:31:53.880 --> 0:31:56.360
<v Speaker 1>help them along the way. I I guess I'm just

0:31:56.400 --> 0:32:00.680
<v Speaker 1>defined by change and understanding how systems work, and when

0:32:00.680 --> 0:32:03.800
<v Speaker 1>those two things come together, there's just an unlimited amount

0:32:03.800 --> 0:32:06.000
<v Speaker 1>of cool stuff to learn about. And so you know,

0:32:06.040 --> 0:32:08.520
<v Speaker 1>in I spent a huge amount of time trying to

0:32:08.560 --> 0:32:12.160
<v Speaker 1>understand crypto, and I still do. I just think it's fascinating. Um,

0:32:12.200 --> 0:32:14.080
<v Speaker 1>I don't, I don't. I don't have a huge amount

0:32:14.120 --> 0:32:16.360
<v Speaker 1>of personal exposure to it. I do have some a

0:32:16.400 --> 0:32:18.800
<v Speaker 1>lot more than I used to, just because of market appreciation.

0:32:19.320 --> 0:32:22.520
<v Speaker 1>And and I'm just I just like new stuff that

0:32:22.680 --> 0:32:26.320
<v Speaker 1>is changing, that enables new behavior or new good outcomes

0:32:26.360 --> 0:32:29.280
<v Speaker 1>for for humans, and like to have, like to be

0:32:29.320 --> 0:32:31.600
<v Speaker 1>at the frontiers of these things. And yeah, I've got

0:32:31.600 --> 0:32:33.080
<v Speaker 1>a lot of titles, and you know, it seems like

0:32:33.160 --> 0:32:35.160
<v Speaker 1>I'm doing a lot, but I'm kind of just doing

0:32:35.160 --> 0:32:39.080
<v Speaker 1>one thing, which is trying to understand what's new, what's changing,

0:32:39.520 --> 0:32:42.120
<v Speaker 1>is it interesting or not? What people can help us

0:32:42.200 --> 0:32:44.680
<v Speaker 1>learn about this, you know, can can we expose their

0:32:44.720 --> 0:32:47.320
<v Speaker 1>ideas to the world. Can we share as broadly as

0:32:47.320 --> 0:32:50.160
<v Speaker 1>we can as we learn? And and that's that's very fun.

0:32:50.240 --> 0:32:53.720
<v Speaker 1>It's a lot more fun than you know. By Vanguard, uh,

0:32:53.760 --> 0:33:13.360
<v Speaker 1>and by Vanguard is very very good advice. Still, this

0:33:13.440 --> 0:33:15.040
<v Speaker 1>is something that I think Joe and I both wanted

0:33:15.080 --> 0:33:16.640
<v Speaker 1>to ask you. But what do you see as the

0:33:16.760 --> 0:33:21.160
<v Speaker 1>role of crypto in a portfolio, because you just described

0:33:21.280 --> 0:33:23.560
<v Speaker 1>having a little bit of it more than you used to.

0:33:23.800 --> 0:33:26.160
<v Speaker 1>And I think one way that a lot of investors

0:33:26.160 --> 0:33:29.280
<v Speaker 1>think about it is as a sort of like lottery ticket,

0:33:29.440 --> 0:33:31.320
<v Speaker 1>where you know, you put a little bit of money

0:33:31.560 --> 0:33:35.000
<v Speaker 1>in a particular token or coin or whatever, and you

0:33:35.080 --> 0:33:37.520
<v Speaker 1>kind of hold your breath and hope that it's going

0:33:37.560 --> 0:33:40.280
<v Speaker 1>to be the right one to go up. So how

0:33:40.320 --> 0:33:44.160
<v Speaker 1>are you thinking about it? One of my favorite investing

0:33:44.240 --> 0:33:46.480
<v Speaker 1>quotes I Cammeramer who said it. But but the quote

0:33:46.560 --> 0:33:51.640
<v Speaker 1>is diversification is the only rational deployment of ignorance. And

0:33:52.440 --> 0:33:55.480
<v Speaker 1>I have to claim some like a lot of knowledge

0:33:55.520 --> 0:33:58.480
<v Speaker 1>but but also a lot of ignorance on the topic

0:33:58.520 --> 0:34:00.840
<v Speaker 1>of crypto and what the few sure of it might

0:34:00.880 --> 0:34:03.080
<v Speaker 1>be in a as you said, traditional portfolio. I think

0:34:03.120 --> 0:34:06.800
<v Speaker 1>traditional there is is the operative word. I don't I

0:34:06.840 --> 0:34:09.600
<v Speaker 1>don't know the answer. I can tell you what I've done,

0:34:09.640 --> 0:34:12.080
<v Speaker 1>which is that you know, when I learned about this stuff,

0:34:12.400 --> 0:34:16.560
<v Speaker 1>the exciting core, you know, base level protocols that I

0:34:16.560 --> 0:34:19.160
<v Speaker 1>spent the most time with seemed really interesting to me,

0:34:19.200 --> 0:34:21.680
<v Speaker 1>and I could I could understand a future where they

0:34:21.719 --> 0:34:26.000
<v Speaker 1>are critical components of how the world works. Much like

0:34:26.360 --> 0:34:29.600
<v Speaker 1>http is or or smt P for email. These are

0:34:29.600 --> 0:34:32.120
<v Speaker 1>other protocols that just didn't have any value associated with

0:34:32.160 --> 0:34:35.080
<v Speaker 1>them that have totally changed the world. And in this case,

0:34:35.120 --> 0:34:38.040
<v Speaker 1>the protocols have a value. They have a they have

0:34:38.160 --> 0:34:40.640
<v Speaker 1>a they have a token or a coin or whatever

0:34:40.680 --> 0:34:43.440
<v Speaker 1>you want to call it, a cryptocurrency which quote unquote

0:34:43.440 --> 0:34:47.600
<v Speaker 1>powers the protocol and those things can can have and

0:34:47.640 --> 0:34:51.600
<v Speaker 1>retain value or grow value. And is bitcoin gonna be

0:34:51.640 --> 0:34:53.279
<v Speaker 1>a thing in ten years? You know, I'm not smart

0:34:53.360 --> 0:34:55.799
<v Speaker 1>enough to know, Sure seems like it will be to me?

0:34:56.320 --> 0:34:58.520
<v Speaker 1>Um is ethereum gonna be a thing? It sure seems

0:34:58.520 --> 0:35:00.920
<v Speaker 1>like it to me. Uh as as something that I

0:35:00.960 --> 0:35:03.520
<v Speaker 1>know countless people are using on a daily basis. How

0:35:03.560 --> 0:35:06.280
<v Speaker 1>many products can you say that about with a very clever,

0:35:06.640 --> 0:35:10.040
<v Speaker 1>you know, economic design behind of it, behind it and

0:35:10.200 --> 0:35:12.520
<v Speaker 1>evolving design. So for me, it was it was no

0:35:12.560 --> 0:35:16.720
<v Speaker 1>more complicated than Look like, these are incredibly interesting technologies.

0:35:17.120 --> 0:35:19.080
<v Speaker 1>Many of the smartest people that I've encountered, and I

0:35:19.200 --> 0:35:21.839
<v Speaker 1>encounter a lot of smart people in in the course

0:35:21.840 --> 0:35:25.319
<v Speaker 1>of my life, are are gravitating towards this field. And

0:35:25.360 --> 0:35:29.600
<v Speaker 1>you could see how philosophically these are good ideas that

0:35:29.760 --> 0:35:31.880
<v Speaker 1>could could have and retained values. So I put a

0:35:31.920 --> 0:35:34.680
<v Speaker 1>small position and and have have added a little bit

0:35:34.760 --> 0:35:37.560
<v Speaker 1>and and never really sold anything. And and that's been

0:35:37.600 --> 0:35:40.720
<v Speaker 1>my personal stance. It's not advice, it's just what worked

0:35:40.760 --> 0:35:43.359
<v Speaker 1>for me. But I think of it as diversification, and

0:35:43.760 --> 0:35:46.640
<v Speaker 1>I think everyone agrees to versification is good at some level.

0:35:46.719 --> 0:35:48.520
<v Speaker 1>Like the SP five hunter that we talked about earlier,

0:35:48.560 --> 0:35:50.680
<v Speaker 1>you should own that instead of one stock, one stock

0:35:50.719 --> 0:35:53.600
<v Speaker 1>would be dune. I think there's an argument to be

0:35:53.680 --> 0:35:56.720
<v Speaker 1>made that that idea of diversification needs to extend further

0:35:57.200 --> 0:35:59.960
<v Speaker 1>into things that maybe we don't quite understand yet or

0:36:00.120 --> 0:36:02.000
<v Speaker 1>or we're not sure where they're going to go. But

0:36:02.120 --> 0:36:05.239
<v Speaker 1>seemed to have that kind of promise. You know. I

0:36:05.280 --> 0:36:08.560
<v Speaker 1>was talking to someone a few months ago, I think

0:36:08.560 --> 0:36:11.719
<v Speaker 1>he worked, he did he worked at a macro hedge fund,

0:36:11.719 --> 0:36:14.120
<v Speaker 1>and he was talking about how like they had this

0:36:14.239 --> 0:36:18.680
<v Speaker 1>very tiny crypto allocation in the fund a while back,

0:36:19.000 --> 0:36:21.160
<v Speaker 1>but then over like the course of the last year,

0:36:21.760 --> 0:36:26.040
<v Speaker 1>it became a fairly substantial crypto allocation because of the

0:36:26.120 --> 0:36:29.560
<v Speaker 1>rapid appreciation, and it got to the point quickly where

0:36:30.000 --> 0:36:32.399
<v Speaker 1>not only did it becomes substantial, but on a day

0:36:32.400 --> 0:36:34.840
<v Speaker 1>to day basis, or a week to week basis, the

0:36:34.920 --> 0:36:39.920
<v Speaker 1>funds returns were almost always determined by whether that crypto portion,

0:36:40.400 --> 0:36:42.120
<v Speaker 1>and so I feel like there's a kind of like

0:36:42.160 --> 0:36:44.280
<v Speaker 1>this like weird like I get, you know, mind virus

0:36:44.400 --> 0:36:47.879
<v Speaker 1>aspect where maybe it feels like people dip their toe

0:36:47.880 --> 0:36:50.120
<v Speaker 1>in the water and they're like, oh, I'm just you know,

0:36:50.280 --> 0:36:52.520
<v Speaker 1>gonna have a little bit because I'm curious, and then

0:36:52.600 --> 0:36:56.360
<v Speaker 1>suddenly it like dominates the daily swings in their portfolio,

0:36:56.400 --> 0:36:58.000
<v Speaker 1>and then they can't stop thinking about it and can't

0:36:58.000 --> 0:37:00.239
<v Speaker 1>stop talking about it, And I'm curious, Like mean, you

0:37:00.280 --> 0:37:02.800
<v Speaker 1>talk to people all the time, both on your podcast

0:37:02.880 --> 0:37:05.640
<v Speaker 1>and then professionally and through the VC. I'm curious if

0:37:05.640 --> 0:37:08.719
<v Speaker 1>you see that phenomenon where it's like somehow it's sort

0:37:08.760 --> 0:37:11.319
<v Speaker 1>of they have this like little interest or buy some

0:37:11.440 --> 0:37:13.319
<v Speaker 1>on a lark, and then it next thing, you know,

0:37:13.360 --> 0:37:15.920
<v Speaker 1>it's sort of like dominates their every waking second like

0:37:16.200 --> 0:37:18.560
<v Speaker 1>thinking about it and watching the return. Yeah, it's like

0:37:18.560 --> 0:37:20.759
<v Speaker 1>it's like surpassed you know, being from Texas or going

0:37:20.800 --> 0:37:22.919
<v Speaker 1>to Harvard, Right, is like the first thing you mentioned, right,

0:37:23.080 --> 0:37:25.040
<v Speaker 1>I mean, there's a joke that one of my friends

0:37:25.080 --> 0:37:27.080
<v Speaker 1>who's one of the largest bitcoin owners in the world

0:37:27.160 --> 0:37:29.440
<v Speaker 1>said it was very early in the ecosystem. It's like,

0:37:29.920 --> 0:37:32.560
<v Speaker 1>look like, don't worry. Everyone wishes they had more bitcoin,

0:37:32.719 --> 0:37:36.960
<v Speaker 1>like myself and myself included, and when something especially bit

0:37:37.000 --> 0:37:40.600
<v Speaker 1>Bitcoin is my favorite because ultimately it's tethered to nothing,

0:37:40.840 --> 0:37:42.680
<v Speaker 1>right like the the the use case. The use case

0:37:42.840 --> 0:37:45.840
<v Speaker 1>is the value, and the value is based on perception.

0:37:46.400 --> 0:37:48.799
<v Speaker 1>And unlike ether, which is actually used in a lot

0:37:48.880 --> 0:37:50.960
<v Speaker 1>of you know, like like a utility in a lot

0:37:50.960 --> 0:37:53.640
<v Speaker 1>of ways, for for for functions or for things that

0:37:53.680 --> 0:37:56.239
<v Speaker 1>happen in in on the web, bitcoin is just this

0:37:56.360 --> 0:37:58.920
<v Speaker 1>kind of like it's like a philosophy argument. It's so

0:37:58.960 --> 0:38:02.160
<v Speaker 1>cool and and I think for something like that, if

0:38:02.160 --> 0:38:03.920
<v Speaker 1>you own a lot of it, it's hard not to

0:38:04.000 --> 0:38:07.919
<v Speaker 1>become obsessed with it. And uh, for for wealthy people,

0:38:07.960 --> 0:38:10.000
<v Speaker 1>I have this idea called balance sheet syndrome, which is

0:38:10.000 --> 0:38:12.520
<v Speaker 1>like you get too rich and then you all you

0:38:12.560 --> 0:38:14.040
<v Speaker 1>do is like think about and talk about and worried

0:38:14.040 --> 0:38:15.719
<v Speaker 1>about your balance sheet, which I think is awful by

0:38:15.719 --> 0:38:19.440
<v Speaker 1>the way. Um, and you see that like crazy with

0:38:19.440 --> 0:38:22.200
<v Speaker 1>with holders of a lot of crypto, and it's very

0:38:22.320 --> 0:38:25.040
<v Speaker 1>very religious esque. You know, if you study mass movements

0:38:25.120 --> 0:38:27.279
<v Speaker 1>or religions or history, like there's a lot shared in

0:38:27.320 --> 0:38:30.799
<v Speaker 1>common here, and uh, that's not interesting to me at all,

0:38:31.120 --> 0:38:33.439
<v Speaker 1>Like you know when someone like it's just not it's

0:38:33.440 --> 0:38:35.359
<v Speaker 1>just it's just It's one of those things that if

0:38:35.400 --> 0:38:38.040
<v Speaker 1>someone wants to talk about endlessly, like I lose interest

0:38:38.120 --> 0:38:40.719
<v Speaker 1>very quickly. But I do see it kind of constantly.

0:38:41.640 --> 0:38:44.080
<v Speaker 1>I want to ask about one other thing and another

0:38:44.280 --> 0:38:47.520
<v Speaker 1>project that you're associated with then that sort of joint

0:38:47.520 --> 0:38:51.040
<v Speaker 1>colossus and you do these like deep dive into like

0:38:51.200 --> 0:38:55.480
<v Speaker 1>mechanical understandings of businesses. So it's like we we think

0:38:55.520 --> 0:38:58.840
<v Speaker 1>we understand like how to Polar works or Lululemon works

0:38:58.920 --> 0:39:02.200
<v Speaker 1>or GM works, And this is something you see, um

0:39:02.320 --> 0:39:05.480
<v Speaker 1>that you are clearly very interesting. Is like let's really

0:39:05.600 --> 0:39:08.360
<v Speaker 1>like drill down and like get to know their business

0:39:08.400 --> 0:39:11.000
<v Speaker 1>models and so forth, that how they became, what they did,

0:39:11.360 --> 0:39:13.480
<v Speaker 1>How has that helped you as an investor? And what

0:39:13.520 --> 0:39:15.719
<v Speaker 1>do you think is the importance of that, because I

0:39:15.719 --> 0:39:18.120
<v Speaker 1>don't see a lot of people doing that the way

0:39:18.239 --> 0:39:21.720
<v Speaker 1>you do, like really like getting to know a business. Well,

0:39:22.520 --> 0:39:24.200
<v Speaker 1>talk to us a little bit about what value you've

0:39:24.239 --> 0:39:27.319
<v Speaker 1>gotten from that exercise. Yeah, one one of my one

0:39:27.360 --> 0:39:29.440
<v Speaker 1>of my frustrations with a lot of investors, even the

0:39:29.440 --> 0:39:32.839
<v Speaker 1>great ones. Is that as they get better and better known,

0:39:32.960 --> 0:39:36.960
<v Speaker 1>like they tend towards being philosophers versus you know, on

0:39:37.000 --> 0:39:40.120
<v Speaker 1>the ground thinkers like that. And I just like getting

0:39:40.200 --> 0:39:42.359
<v Speaker 1>on the ground. Like there's that amazing quote. It's like

0:39:42.400 --> 0:39:44.279
<v Speaker 1>one of the painters that says, like, you know, our

0:39:44.360 --> 0:39:48.440
<v Speaker 1>critics are always talking about theory and and and aesthetics

0:39:48.480 --> 0:39:50.919
<v Speaker 1>and whatever, and like painters are talking about like where

0:39:50.920 --> 0:39:54.880
<v Speaker 1>to buy cheap turpentine and and I just like that idea.

0:39:55.000 --> 0:39:58.839
<v Speaker 1>So I personally have learned a lot more. I didn't

0:39:58.840 --> 0:40:00.840
<v Speaker 1>want to. I did we call these business breakdowns? And

0:40:00.880 --> 0:40:03.759
<v Speaker 1>I did one yesterday on on Wyndham Hotels with my

0:40:03.800 --> 0:40:06.279
<v Speaker 1>friend Lauren Taylor Wolf. And you know, we spent an

0:40:06.280 --> 0:40:08.120
<v Speaker 1>hour and a half talking about Windham Hotels, right like

0:40:08.160 --> 0:40:11.120
<v Speaker 1>who cares? But when when when you dive into windhom

0:40:11.400 --> 0:40:13.960
<v Speaker 1>you just learn all this cool stuff about the world,

0:40:14.040 --> 0:40:16.480
<v Speaker 1>like how all their brands like Super eight to this

0:40:16.560 --> 0:40:18.960
<v Speaker 1>kind of lower segment of the market evolved along with

0:40:18.960 --> 0:40:22.719
<v Speaker 1>the interstate highway system in the fifties and sixties, and

0:40:22.719 --> 0:40:25.239
<v Speaker 1>and what the franchise economics look like for someone that

0:40:25.320 --> 0:40:27.960
<v Speaker 1>starts and buys a Windham hotel versus buying a dominoes

0:40:28.120 --> 0:40:30.719
<v Speaker 1>or you know whatever, like these very real on the

0:40:30.719 --> 0:40:33.680
<v Speaker 1>ground things that if you pay seventy bucks for a hotel,

0:40:33.800 --> 0:40:35.560
<v Speaker 1>like now I know where that seventy bucks goes, and

0:40:35.560 --> 0:40:38.560
<v Speaker 1>like what the underlying economics are. And when I'm looking

0:40:38.640 --> 0:40:41.280
<v Speaker 1>at another business to invest in or or to build

0:40:41.640 --> 0:40:44.319
<v Speaker 1>in the future, it feels like I'm just collecting all

0:40:44.400 --> 0:40:47.279
<v Speaker 1>these individual models and I can say, oh, like this

0:40:47.360 --> 0:40:50.120
<v Speaker 1>looks like this piece of software somehow looks like windhom

0:40:50.280 --> 0:40:52.520
<v Speaker 1>you know, doubt that one will happen, But all these

0:40:52.560 --> 0:40:55.800
<v Speaker 1>points of learning in comparison, you know, Harvard is famous

0:40:55.800 --> 0:40:57.960
<v Speaker 1>for its business case studies, which I think are very good.

0:40:58.280 --> 0:41:00.200
<v Speaker 1>And this is just that, you know, for for and

0:41:00.200 --> 0:41:03.400
<v Speaker 1>in the open and in conversation. So I like the

0:41:03.400 --> 0:41:09.440
<v Speaker 1>turpentine approach to learning about business versus the very like haughty, philosophical,

0:41:09.880 --> 0:41:12.560
<v Speaker 1>you know, principled approach. And I was a philosophy major,

0:41:12.600 --> 0:41:14.399
<v Speaker 1>so you know, I know this takes one to know one,

0:41:14.400 --> 0:41:16.799
<v Speaker 1>I guess, and that's why we do it. We we

0:41:16.880 --> 0:41:19.560
<v Speaker 1>just I just like how stuff works, and I find

0:41:19.640 --> 0:41:22.840
<v Speaker 1>all of the detail to be far more interesting in

0:41:22.880 --> 0:41:26.640
<v Speaker 1>a Chipotle than you know, like the source of its Moat, Like,

0:41:26.719 --> 0:41:29.160
<v Speaker 1>I like learning about how the guacamole has made and

0:41:29.520 --> 0:41:31.480
<v Speaker 1>how you can get the cost of guacamole down by

0:41:31.480 --> 0:41:34.160
<v Speaker 1>owning a guacamole farm, and this kind of stuff like

0:41:34.239 --> 0:41:36.799
<v Speaker 1>just more interesting to me. You know, I think for

0:41:36.880 --> 0:41:39.000
<v Speaker 1>Tracy and I that probably that speaks to us because

0:41:39.000 --> 0:41:40.920
<v Speaker 1>we I think some of both of our favorite episodes

0:41:40.960 --> 0:41:43.320
<v Speaker 1>have been like let's talk about how trucking works. It

0:41:43.360 --> 0:41:47.120
<v Speaker 1>reminds me of like uh Bob Dylan's actually his Nobel

0:41:47.200 --> 0:41:50.600
<v Speaker 1>Prize speech where it's like people always talk about Shakespeare,

0:41:51.080 --> 0:41:54.480
<v Speaker 1>you know, something like great literary of playwright, but Shakespeare

0:41:54.520 --> 0:41:56.840
<v Speaker 1>was thinking about the quote is like where am I

0:41:56.840 --> 0:41:59.440
<v Speaker 1>going to get a human skull? Because that needed to

0:41:59.440 --> 0:42:01.360
<v Speaker 1>me and like to put on to put on a

0:42:01.400 --> 0:42:04.399
<v Speaker 1>performance of Hamlet that yorick. So like I feel like

0:42:04.880 --> 0:42:08.080
<v Speaker 1>you know that actually, like understanding what matters for the

0:42:08.120 --> 0:42:11.000
<v Speaker 1>person doing the thing is often way more interesting than

0:42:11.040 --> 0:42:13.239
<v Speaker 1>like the deep theory. I mean we we both talked

0:42:13.239 --> 0:42:15.759
<v Speaker 1>to Ryan Peterson at flex Sport, and you know, you

0:42:15.800 --> 0:42:18.239
<v Speaker 1>talk to someone like that and you're talking, you're talking

0:42:18.239 --> 0:42:21.760
<v Speaker 1>about maritime law and how it came to be, and

0:42:21.960 --> 0:42:24.680
<v Speaker 1>what you realize is, like God, everything's just messy, like

0:42:24.760 --> 0:42:27.919
<v Speaker 1>nothing's neat and tidy, like like Aristotle was right, not

0:42:27.920 --> 0:42:30.640
<v Speaker 1>not Plato. You know, if you know your philosophy, and

0:42:30.960 --> 0:42:35.080
<v Speaker 1>the details matter and path dependence matters, and you just

0:42:35.160 --> 0:42:37.920
<v Speaker 1>like everything is a compromise and you gotta keep pushing,

0:42:37.960 --> 0:42:39.959
<v Speaker 1>like all these great stories like Ryan will tell about

0:42:40.000 --> 0:42:43.360
<v Speaker 1>their business, like he ran headfirst into it, not a

0:42:43.360 --> 0:42:45.960
<v Speaker 1>brick wall of steel, wall of just inertia, and like

0:42:46.080 --> 0:42:50.160
<v Speaker 1>weird paper and pen processes, and he learned about how

0:42:50.200 --> 0:42:52.640
<v Speaker 1>stuff moves around on the ocean and it's way more

0:42:52.680 --> 0:42:56.160
<v Speaker 1>interesting and complicated than you could possibly imagine. And and

0:42:56.200 --> 0:42:59.480
<v Speaker 1>my friend zachs Zack Cantra has an amazing article he

0:42:59.520 --> 0:43:02.880
<v Speaker 1>always sends around called reality has a surprising amount of detail,

0:43:03.360 --> 0:43:06.200
<v Speaker 1>And I just loved I love that idea, like learning

0:43:06.239 --> 0:43:10.240
<v Speaker 1>about maritime law and shipping invoices and why it matters

0:43:10.280 --> 0:43:12.560
<v Speaker 1>to the world. And it's just so much more interesting

0:43:12.600 --> 0:43:16.880
<v Speaker 1>to me than than some you know, broadly applicable concept detail.

0:43:17.080 --> 0:43:21.319
<v Speaker 1>It's more fun. I love that saying, Um, that's really good.

0:43:21.320 --> 0:43:23.120
<v Speaker 1>We're going to have to take that to heart in

0:43:23.200 --> 0:43:28.360
<v Speaker 1>some future Logistics and supply episodes. I think, Okay, well, Patrick,

0:43:28.480 --> 0:43:30.319
<v Speaker 1>we're going to leave it there, but thank you so

0:43:30.400 --> 0:43:32.640
<v Speaker 1>much for coming on. That was really great. Thank you

0:43:32.680 --> 0:43:35.440
<v Speaker 1>guys so much for having me. That was great, Patrick,

0:43:35.520 --> 0:43:51.160
<v Speaker 1>thank you so much. Okay, so that was really enjoyable.

0:43:51.200 --> 0:43:54.719
<v Speaker 1>And obviously, um, Patrick is a pro at podcasting and

0:43:54.840 --> 0:43:58.759
<v Speaker 1>a competitor. UM, so we shouldn't hype his podcast too much,

0:43:58.800 --> 0:44:01.000
<v Speaker 1>although it is very good. Um. But one thing I

0:44:01.080 --> 0:44:04.200
<v Speaker 1>was thinking about is you know that, um, you know

0:44:04.280 --> 0:44:07.160
<v Speaker 1>that last point he was making about, you know, reality

0:44:07.239 --> 0:44:10.320
<v Speaker 1>is sort of full of details, are all about the details,

0:44:10.360 --> 0:44:12.200
<v Speaker 1>And I was sort of thinking about that in the

0:44:12.280 --> 0:44:17.000
<v Speaker 1>context of the custom indexing business itself. So this idea

0:44:17.120 --> 0:44:21.200
<v Speaker 1>that if you want an index that actually reflects the

0:44:21.239 --> 0:44:23.719
<v Speaker 1>world as you see it, or you know, as you

0:44:23.760 --> 0:44:25.719
<v Speaker 1>want it to be reflected, like, you are going to

0:44:25.760 --> 0:44:28.600
<v Speaker 1>have to drill down into specific companies and maybe it

0:44:28.640 --> 0:44:31.520
<v Speaker 1>makes more sense to make your own judgment call on

0:44:31.600 --> 0:44:34.759
<v Speaker 1>what those should be versus actually buying you know, the

0:44:34.800 --> 0:44:39.239
<v Speaker 1>top five hundred firms by market cap. Yeah, I thought,

0:44:39.280 --> 0:44:41.279
<v Speaker 1>I mean, I thought that whole conversation is interesting and

0:44:41.320 --> 0:44:43.839
<v Speaker 1>he was definitely sort of speaking our language at the end.

0:44:44.000 --> 0:44:45.400
<v Speaker 1>I thought you were going to go the other way

0:44:45.840 --> 0:44:49.600
<v Speaker 1>with the point about like, you know, again that buying

0:44:49.640 --> 0:44:52.400
<v Speaker 1>the S and P five hundred seems like the easiest

0:44:52.480 --> 0:44:55.440
<v Speaker 1>like strategy in the world. But as he points out,

0:44:55.480 --> 0:44:58.360
<v Speaker 1>like even that is like and you pointed out in

0:44:58.400 --> 0:45:00.680
<v Speaker 1>the intros, like even that as an doble like feet

0:45:00.680 --> 0:45:04.120
<v Speaker 1>of technology, even though like the technology has been abstracted

0:45:04.280 --> 0:45:06.239
<v Speaker 1>away to the point where we like I don't think

0:45:06.280 --> 0:45:11.239
<v Speaker 1>most people think of like buying spy as a technology thing,

0:45:11.640 --> 0:45:13.600
<v Speaker 1>but even that, like just think about like how messy

0:45:13.760 --> 0:45:15.719
<v Speaker 1>that must have been, like to create a piece of

0:45:15.760 --> 0:45:18.960
<v Speaker 1>software that can like rebalance five stocks every minute or

0:45:19.000 --> 0:45:21.320
<v Speaker 1>every day, Like, given that, it is like sort of

0:45:21.320 --> 0:45:24.640
<v Speaker 1>an extraordinary feet of like detail and attention, you know,

0:45:24.719 --> 0:45:27.759
<v Speaker 1>attention to detail. Yeah, But also it sort of ties

0:45:27.800 --> 0:45:31.319
<v Speaker 1>into his point about diversification as well, which is like

0:45:31.440 --> 0:45:36.879
<v Speaker 1>passive investing isn't necessarily very good at identifying the next

0:45:37.000 --> 0:45:40.160
<v Speaker 1>up and coming thing for obvious reasons. So like there's

0:45:40.200 --> 0:45:42.759
<v Speaker 1>not going to be some sort of crypto play in

0:45:42.800 --> 0:45:45.000
<v Speaker 1>the SMP five hundred um, so you're not going to

0:45:45.080 --> 0:45:46.520
<v Speaker 1>make a lot of money from that, and so you

0:45:46.600 --> 0:45:49.640
<v Speaker 1>kind of have to go out and seek those outside

0:45:49.680 --> 0:45:53.799
<v Speaker 1>of the realms of traditional fund management. I think, well,

0:45:54.160 --> 0:45:56.680
<v Speaker 1>Visa Blood and n f T recently, so they're now

0:45:56.880 --> 0:46:01.160
<v Speaker 1>now they could be okay, but no, no, no, you're

0:46:01.200 --> 0:46:05.000
<v Speaker 1>absolutely right. Yeah, everyone's um buying bitcoin for they're like

0:46:05.200 --> 0:46:08.000
<v Speaker 1>cash reserve, so everything will be a crypto play soon enough.

0:46:08.120 --> 0:46:09.920
<v Speaker 1>But you know, if you wanted to get in early,

0:46:10.160 --> 0:46:15.600
<v Speaker 1>you would have struggled without some sort of absolutely yeah, okay, um,

0:46:15.600 --> 0:46:18.040
<v Speaker 1>shall we leave it there? Let's leave it there. Okay.

0:46:18.280 --> 0:46:20.960
<v Speaker 1>This has been another episode of the All Thoughts podcast.

0:46:21.040 --> 0:46:23.640
<v Speaker 1>I'm Tracy Alloway. You can follow me on Twitter at

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<v Speaker 1>Tracy Alloway and I'm Joe wisn't Thal. You can follow

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<v Speaker 1>me on Twitter at The Stalwart. Follow our guest on Twitter,

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<v Speaker 1>Patrick O'Shaughnessy. He's at Patrick Underscore Oshang. Follow our producer

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<v Speaker 1>Laura Carlson. She's at Laura M. Carlson. Followed the Bloomberg

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<v Speaker 1>head of podcast were incessca Levie at Francesco Today, and

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<v Speaker 1>check out all of our podcasts at Bloomberg under the

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<v Speaker 1>handle at podcasts. Thanks for listening to