WEBVTT - What David Barse Learned From Watching A Credit Fund Blow Up

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<v Speaker 1>Hello, and welcome to another edition of The Bots Podcast.

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<v Speaker 1>I'm Tracy Alloway and I'm Joe. Joe. Do you remember

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<v Speaker 1>what was happening in nineteen sixty two? I mean from

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<v Speaker 1>a financial markets perspective. I thought I thought you were

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<v Speaker 1>asking me, like what my personal recollection was from nineteen

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<v Speaker 1>But no, not only do I not personally remember what

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<v Speaker 1>happened in nineteen sixty two, probably couldn't actually tell you

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<v Speaker 1>anything that I know about financial markets in nine sixty two.

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<v Speaker 1>So I'm I'm drawing a blank here. Okay, well you're

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<v Speaker 1>going to enjoy this, then I find this really interesting.

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<v Speaker 1>I think you will too. But in nineteen sixty two,

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<v Speaker 1>there was a little stock market crash and it became

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<v Speaker 1>known as the Kennedy Slide. Not many people remember it now,

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<v Speaker 1>but it was really interesting because it was basically the

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<v Speaker 1>first crash that happened in a stock market that had

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<v Speaker 1>mutual funds in it, because mutual funds hadn't really been

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<v Speaker 1>around in nine or in the Great Depression, So it's interesting.

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<v Speaker 1>So it was the crash associated with something mechanically with

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<v Speaker 1>the funds or is it was it just sort of

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<v Speaker 1>like a coincidence that there are these new vehicles at

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<v Speaker 1>the time. Ah okay, So this is where it gets

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<v Speaker 1>really interesting because as stocks started to fall on this

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<v Speaker 1>one particular week in nineteen sixty two, there was this

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<v Speaker 1>real concern that all these new fangled mutual funds we're

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<v Speaker 1>going to end up making the crash worse. Basically, people

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<v Speaker 1>thought that investors would be able to sell their holdings

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<v Speaker 1>much more easily because they were in they were wrapped

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<v Speaker 1>up in these mutual funds. Now, in the end that

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<v Speaker 1>didn't actually happen. The mutual funds actually came in and

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<v Speaker 1>bought a bunch of stocks, so they ended up supporting

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<v Speaker 1>the market and everyone was kind of saved thanks to

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<v Speaker 1>mutual funds. But it's clearly interesting because it gets to

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<v Speaker 1>this big question of how open ended funds behave when

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<v Speaker 1>there's trouble. And you and I both like to talk

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<v Speaker 1>about market structure. We talk a lot about the rise

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<v Speaker 1>of passive investing, but we also talk about e t

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<v Speaker 1>f s and sometimes mutual funds, right exactly, and you

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<v Speaker 1>hear it a lot these days, people warning about e

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<v Speaker 1>t f s are getting so big and so enormous,

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<v Speaker 1>and there's so many, they're so liquid, and people are

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<v Speaker 1>concerned about the underlying assets in them, and we haven't

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<v Speaker 1>really seen any big structural systematic problems yet. But if

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<v Speaker 1>you ask people like, oh, what are you most worried

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<v Speaker 1>about or what could bring on another financial crisis, even

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<v Speaker 1>if people are sort of vague and hazy about how

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<v Speaker 1>it would work, there's like this suspicion that modern rappers

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<v Speaker 1>of assets or modern vehicles are somehow going to be involved. Right,

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<v Speaker 1>that's exactly right. And of course there's an overwriting discussion

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<v Speaker 1>as well about how mutual funds are constructed and how

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<v Speaker 1>the benchmarks that they follow are actually defined and constructed.

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<v Speaker 1>And that's something that we've spoken about before in terms

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<v Speaker 1>of these worries over mutual funds or e t F

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<v Speaker 1>basically open ended vehicles wrapped around certain assets. There was

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<v Speaker 1>one moment in time that happened relatively recently, certainly much

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<v Speaker 1>more recently than in nineteen sixty two. Do you remember

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<v Speaker 1>that one, Joe, Yeah, I think it was was that

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<v Speaker 1>late and everyone started reading white papers about the connection

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<v Speaker 1>between junk bond ETFs and junk bonds and whether that

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<v Speaker 1>was going to create a problem. Yeah, that's exactly right.

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<v Speaker 1>And we also had a credit fund. Uh, you know.

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<v Speaker 1>I think at one point this credit fund was worth

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<v Speaker 1>about three point five billion dollars, the Third Avenue Credit Fund,

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<v Speaker 1>and it experienced about of redemptions that base sickly spooked

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<v Speaker 1>the entire market. Yeah, I remember that. And in the end,

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<v Speaker 1>the market overall was fine and we didn't have many

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<v Speaker 1>sort of big systemic problems. But people sort of thought

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<v Speaker 1>it was like, Okay, this could be like a harbinger.

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<v Speaker 1>I mean, hey, I think people were relieved that it didn't,

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<v Speaker 1>but it seemed like the type of thing that spoke

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<v Speaker 1>to a lot of these anxieties which we've been talking

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<v Speaker 1>about for a while. Yeah, exactly. So today I'm I'm

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<v Speaker 1>quite excited about our guest because our guest is actually

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<v Speaker 1>the former CEO of Third Avenue. It's David Bars and

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<v Speaker 1>he's not only going to be talking about his experience

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<v Speaker 1>at the fund and his opinions about general liquidity and

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<v Speaker 1>mutual funds and e t f s, but we're also

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<v Speaker 1>going to go into a really interesting discussion about indexes specifically,

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<v Speaker 1>and also his new venture, which is kind of an

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<v Speaker 1>interesting tweak on existing index investing. I can't wait. Alright, So,

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<v Speaker 1>without further ado, David Clarks welcome to the show. So

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<v Speaker 1>it's great to be here. I thought when you mentioned

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<v Speaker 1>nineteen sixty two you were going to talk about that

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<v Speaker 1>was the year I was born, and this was the

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<v Speaker 1>significance of that, And you came up with this very

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<v Speaker 1>interesting story that I didn't know about myself. So so

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<v Speaker 1>you as your your barn you like me, You don't

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<v Speaker 1>have any recognition now I do not, but I do

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<v Speaker 1>have a pretty good recollection of what happened in two

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<v Speaker 1>thousand fifteen. Shall we start with that then, um, and

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<v Speaker 1>I wish that I could claim the nineteen sixty two

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<v Speaker 1>thing is the result of my um deep research ahead

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<v Speaker 1>of this podcast, but unfortunately it's just a happy coincidence.

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<v Speaker 1>Let's start with late two thousand fifteen. David, do you

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<v Speaker 1>want to maybe just explain what was going on at

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<v Speaker 1>that time? Yeah, I mean, look, the name of the

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<v Speaker 1>fund was the third Avenue Focused Credit Fund. Focused being

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<v Speaker 1>emphasized here for making the point that we were a

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<v Speaker 1>concentrated portfolio of highled and distressed securities that you could

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<v Speaker 1>not get in that format in a liquid mutual fund

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<v Speaker 1>format pretty much anywhere else. We were unique in what

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<v Speaker 1>we had created for the marketplace. But the The fact

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<v Speaker 1>that people thought of that fund as some representation for

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<v Speaker 1>an overall market is sort of a misnomer because if

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<v Speaker 1>you think back to the financial crisis, where you had

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<v Speaker 1>many many funds git themselves in effect right put up

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<v Speaker 1>the gates which there were permitted to do, you really

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<v Speaker 1>didn't have much of a different story here. This was

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<v Speaker 1>a fund that was the focused credit fund was set

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<v Speaker 1>up to offer investors really an alternative to to a

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<v Speaker 1>hedge fund, to a private vehicle. Uh and we were

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<v Speaker 1>doing it in a in a public format. So what

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<v Speaker 1>happened with that one fund really was not representative representative

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<v Speaker 1>what was going on the markets. That weren't any other

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<v Speaker 1>funds like that fund. So how did you have the

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<v Speaker 1>idea originally before we get to even the events of

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<v Speaker 1>late tell us a little bit about the evolution of

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<v Speaker 1>the fund itself and how you saw an opportunity to

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<v Speaker 1>offer access to a concentrated portfolio of these assets in

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<v Speaker 1>that liquid vehicle. Okay, so two thousand eight, the financial

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<v Speaker 1>crisis is is coming upon us. We were deep value investors.

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<v Speaker 1>Pretty much most of our assets under management were in

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<v Speaker 1>publicly listed equity securities. We had had a historical participation

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<v Speaker 1>in debt and distress debt, both in public and private vehicles,

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<v Speaker 1>but had really not had much exposure to that asset

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<v Speaker 1>class leading up until the financial crisis. But as the

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<v Speaker 1>financial crisis came upon us, obviously being higher up in

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<v Speaker 1>the capital structure of a business is a safer way

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<v Speaker 1>to invest. And our idea was to try and gather

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<v Speaker 1>assets into that wave, if you will, and and do

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<v Speaker 1>that in a in a way in which we can participate,

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<v Speaker 1>cause we were like any other opportunistic value investor. That's

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<v Speaker 1>where we saw the value really and really were excited

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<v Speaker 1>about the opportunity. The problem is, how do you raise

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<v Speaker 1>money going into a financial crisis when most people are

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<v Speaker 1>taking money off the table, and we were experiencing that

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<v Speaker 1>with our open and mutual funds, the equity funds. So

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<v Speaker 1>the only solution that I could come up with at

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<v Speaker 1>the time, because I was out pitching investors literally the

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<v Speaker 1>week before and after Lehman Brothers went into bankruptcy, was

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<v Speaker 1>to launch an open and mutual fund because that's what

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<v Speaker 1>we had successfully done historically. And it took about nine

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<v Speaker 1>months to get that done. So it's August two thousand

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<v Speaker 1>nine and we read we file our third Avenue focused

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<v Speaker 1>credit fund, and the opportunity was pretty clear, right. You

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<v Speaker 1>had high yield trading at twelve hundred over as a spread,

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<v Speaker 1>and and so you could pretty much pick your litter.

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<v Speaker 1>It was like shooting fish in a barrel, quite frankly,

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<v Speaker 1>because you could buy very plentiful supply of securities out

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<v Speaker 1>there that you could buy and diversify the portfolio even

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<v Speaker 1>though it's a focus fund, but diverse by the portfolio

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<v Speaker 1>across industry, and that was an easy opportunity for us.

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<v Speaker 1>The challenge was there weren't many funds being launched in

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<v Speaker 1>that format. In fact, I believe we were the only one,

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<v Speaker 1>and most people, if they were trying to access these securities,

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<v Speaker 1>were doing it in private funds and hedge funds, So

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<v Speaker 1>we were very unique. And in fact, I remember going

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<v Speaker 1>on CNBC to announce the launch of the fund and

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<v Speaker 1>a lot of folks took interest in what we were

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<v Speaker 1>try iring to do at that time. So that was

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<v Speaker 1>the that was the spirit for the launch. The idea

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<v Speaker 1>and the opportunity was clearly there. Did it ever cross

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<v Speaker 1>your mind to start a hedge fund or a private

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<v Speaker 1>fund like other people were doing. I mean, you mentioned

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<v Speaker 1>that you you've had success in other open ended mutual funds,

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<v Speaker 1>so that was your expertise. But did you ever even

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<v Speaker 1>think about it? Not just thought about it, attempted it

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<v Speaker 1>in different derivations, especially since we had going into the

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<v Speaker 1>financial I think two thousand seven rssets under management peaked

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<v Speaker 1>at close to thirty one billion dollars, so we had

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<v Speaker 1>a pretty broad client base. But those clients in two

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<v Speaker 1>thousand eight were more interested in getting their money back

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<v Speaker 1>than allocating capital, and so raising funds in a private format.

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<v Speaker 1>And even though we had that kind of a u M,

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<v Speaker 1>we were in a private fund what you call a

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<v Speaker 1>first time fund man GERM, right, because most of our funds,

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<v Speaker 1>in fact, all of our funds were in public format, right,

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<v Speaker 1>and mutual funds or separately managed accounts. So when you

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<v Speaker 1>launch a private fund, private fund investors like to see

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<v Speaker 1>track records, and this is why you have many of

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<v Speaker 1>the successful private equy firms out there launching Fund seventeen

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<v Speaker 1>right now, because there they've got track records for the

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<v Speaker 1>sixteen prior funds that investors make their decisions on. Unfortually,

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<v Speaker 1>we are backward looking industry, right, So that was the

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<v Speaker 1>challenge for us, and and it became really uh almost

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<v Speaker 1>the only way we could get the money was to

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<v Speaker 1>do it through this public format. Now, one of the

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<v Speaker 1>concerns that was that we were already talking about and

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<v Speaker 1>that was really spotlight in late is this idea of

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<v Speaker 1>a sort of liquidity mismatch. People want daily liquidity, or

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<v Speaker 1>if it's in an e t F form, they want

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<v Speaker 1>a minute by minute liquidity, but just dressed assets, junk bonds,

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<v Speaker 1>they don't just trade. You know, a minute by minute

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<v Speaker 1>is easily is the same the same way as a

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<v Speaker 1>stocks do. When you launched the fund, was this something

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<v Speaker 1>that was on your mind as a concern, Yeah, of course,

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<v Speaker 1>and and so the goal was to get to a

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<v Speaker 1>critical mass so that you could have size and enable

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<v Speaker 1>yourself to have a diversified portfolio, not have any heavily

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<v Speaker 1>concentrated positions where liquidity constraints would mismatch investors needs or desires.

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<v Speaker 1>Because investors in mutual funds have the right to redeem daily.

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<v Speaker 1>Uh you know, there are certain redemption fee features that

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<v Speaker 1>you can put on funds, but that's that's the nature

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<v Speaker 1>of the vehicle. So of course we were very conscious

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<v Speaker 1>of that, and we wanted to get the size that

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<v Speaker 1>we did quite. I think my recollection is that the

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<v Speaker 1>fund got to about seven million in a u M

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<v Speaker 1>and within three or four months, which was sort of

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<v Speaker 1>an unprecedented at the time raise, especially given the time

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<v Speaker 1>framework in right, it's the fall winter of two thousand nine, right,

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<v Speaker 1>still anount of time when people were thinking about getting

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<v Speaker 1>back into the market. Right, we hadn't even had the

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<v Speaker 1>green shoots conversations yet. So it was it was a

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<v Speaker 1>very successful launch, if you will, and that helped create

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<v Speaker 1>liquidity for investors if they chose. And there were points

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<v Speaker 1>of time, especially as you think about what happened in

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<v Speaker 1>two thousand eleven with the downgrade of US treasuries, right,

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<v Speaker 1>you know, you had issues over time where markets were

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<v Speaker 1>volatile and people wanted to take look, take capital off

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<v Speaker 1>the table. So we have to be able to manage

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<v Speaker 1>that through that period. The ultimate demise here was the

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<v Speaker 1>fact that you know, you have I had a portfolio

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<v Speaker 1>manager in charge of the fund who who made some

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<v Speaker 1>bad investments. And at the end of the day, in

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<v Speaker 1>any construct, whether it's a mutual fund or or a

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<v Speaker 1>private fund, you have to be making good investments. That's

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<v Speaker 1>what you're charged with doing. And and when you have

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<v Speaker 1>investments that turn out to be non performers. That's what

0:14:03.160 --> 0:14:06.920
<v Speaker 1>ultimately lead to the challenges with the fund. It wasn't

0:14:06.920 --> 0:14:10.880
<v Speaker 1>the market issue as much as it was individual investments.

0:14:12.000 --> 0:14:15.040
<v Speaker 1>So can I ask, if you were doing it all again,

0:14:15.640 --> 0:14:18.559
<v Speaker 1>is there something that you would do differently or what's

0:14:18.600 --> 0:14:21.880
<v Speaker 1>your biggest takeaway from that experience? Well? Yeah, I think

0:14:21.920 --> 0:14:26.200
<v Speaker 1>if you're that the learning is twofold. Work harder to

0:14:26.200 --> 0:14:28.760
<v Speaker 1>try and raise a private fund. That's a that's an

0:14:28.760 --> 0:14:31.720
<v Speaker 1>easy one. And secondarily, if you're going to do something

0:14:31.800 --> 0:14:35.840
<v Speaker 1>in a in a public format where investors can can

0:14:35.840 --> 0:14:39.640
<v Speaker 1>access you daily and redeem you daily, then the only

0:14:39.640 --> 0:14:44.880
<v Speaker 1>way to properly manage risk is to massively diversify the portfolio.

0:14:45.320 --> 0:14:48.680
<v Speaker 1>So it's it's sort of what has ended up really

0:14:48.720 --> 0:14:53.120
<v Speaker 1>transforming into the high yeld marketplace. You have. Most hield

0:14:53.120 --> 0:14:57.680
<v Speaker 1>funds are basically benchmark trackers, right They own wildly diversified

0:14:57.720 --> 0:15:04.160
<v Speaker 1>portfolios of securities that track the high heeled index. So basically,

0:15:04.400 --> 0:15:08.240
<v Speaker 1>if you're going to have a daily vehicle or liquid

0:15:08.320 --> 0:15:12.520
<v Speaker 1>vehicle for the public, your lesson now is there's almost

0:15:12.600 --> 0:15:16.120
<v Speaker 1>no way to do it on a concentrated basis. It

0:15:16.240 --> 0:15:20.160
<v Speaker 1>just has to roughly more or less everything. That's correct

0:15:20.880 --> 0:15:24.800
<v Speaker 1>if investors are going to demand daily liquidity. Right when

0:15:24.880 --> 0:15:28.680
<v Speaker 1>it comes to credit market liquidity in general, we hear

0:15:29.520 --> 0:15:33.760
<v Speaker 1>so much noise about, you know, trading having become more difficult,

0:15:33.920 --> 0:15:36.680
<v Speaker 1>the market any more liquid, more e t f s,

0:15:36.720 --> 0:15:39.960
<v Speaker 1>more open ended funds that are investing in you know,

0:15:40.080 --> 0:15:43.200
<v Speaker 1>high old bonds and things like that. Are those valid

0:15:43.240 --> 0:15:46.920
<v Speaker 1>concerns in your opinion? Well, I haven't seen it manifest

0:15:46.960 --> 0:15:50.680
<v Speaker 1>itself in any way that that would cause me to

0:15:50.720 --> 0:15:52.800
<v Speaker 1>be concerned about it. I think you had a point

0:15:53.040 --> 0:15:55.120
<v Speaker 1>a little less than a year ago, maybe in January

0:15:55.120 --> 0:15:58.239
<v Speaker 1>of this year, where HYLD was almost trading at perfection,

0:15:58.960 --> 0:16:02.560
<v Speaker 1>probably maybe unprecedented in terms of where it was from

0:16:02.560 --> 0:16:07.440
<v Speaker 1>a from a yield basis, and and the spread as

0:16:07.760 --> 0:16:10.080
<v Speaker 1>as thin as I think it's ever been, and you

0:16:10.120 --> 0:16:14.360
<v Speaker 1>didn't really have any any issues, and we weathered through

0:16:14.800 --> 0:16:17.880
<v Speaker 1>what was a pretty challenging energy market a couple of

0:16:17.960 --> 0:16:20.720
<v Speaker 1>years ago that we're now seeing. I think there were

0:16:20.880 --> 0:16:24.040
<v Speaker 1>articles about it today that energy is now maybe the

0:16:24.120 --> 0:16:27.840
<v Speaker 1>largest percentage of the High Heeled index right now, and

0:16:27.880 --> 0:16:32.000
<v Speaker 1>you're seeing a sort of a robust demand for securities

0:16:32.000 --> 0:16:34.960
<v Speaker 1>in that sector. So the market has seemed to evolve

0:16:35.040 --> 0:16:40.480
<v Speaker 1>itself into a pretty stable place, notwithstanding all of these

0:16:40.840 --> 0:16:44.720
<v Speaker 1>traditional metrics that might cause concern for folks, But it

0:16:44.760 --> 0:16:48.840
<v Speaker 1>hasn't done anything to um to spook the market from

0:16:48.840 --> 0:16:52.480
<v Speaker 1>what I can see. So the going back to a

0:16:52.520 --> 0:16:55.040
<v Speaker 1>couple of years ago when we had the energy crash

0:16:55.080 --> 0:16:57.520
<v Speaker 1>and a lot of high old dead tied to energy,

0:16:57.640 --> 0:17:00.560
<v Speaker 1>that was obviously when people were most worried. In your view,

0:17:01.080 --> 0:17:03.640
<v Speaker 1>the fact that we got through that period that it

0:17:03.680 --> 0:17:06.760
<v Speaker 1>was pretty smooth, that none of the concerns really turned

0:17:06.800 --> 0:17:10.119
<v Speaker 1>out too much, it's pretty good evidence that the market

0:17:10.160 --> 0:17:12.720
<v Speaker 1>structure roughly works. Yeah, And if you had asked how

0:17:12.840 --> 0:17:15.160
<v Speaker 1>old investors what their biggest concerns where maybe a year

0:17:15.200 --> 0:17:17.320
<v Speaker 1>ago that's a healthcare was going to be the next

0:17:17.600 --> 0:17:21.440
<v Speaker 1>energy sector and where what happened? Right, We haven't read

0:17:21.480 --> 0:17:24.600
<v Speaker 1>or heard much about that sector getting disrupted in a

0:17:25.200 --> 0:17:27.359
<v Speaker 1>in any kind of material way. So I I just

0:17:27.400 --> 0:17:30.840
<v Speaker 1>think people keep trying to look for problems. It's just

0:17:31.000 --> 0:17:33.280
<v Speaker 1>for the sake of looking for problems, and and the

0:17:33.320 --> 0:17:36.560
<v Speaker 1>market seems to have worked itself out pretty efficiently, which

0:17:36.920 --> 0:17:40.640
<v Speaker 1>tends to happen. So David, let's talk about your new venture.

0:17:41.280 --> 0:17:43.760
<v Speaker 1>I alluded to it in the intro. But it's kind

0:17:43.800 --> 0:17:47.040
<v Speaker 1>of an interesting take on investing. And I guess the

0:17:47.080 --> 0:17:50.160
<v Speaker 1>clue is in the name. You know, you're now principal

0:17:50.280 --> 0:17:54.320
<v Speaker 1>and co founder at outvest Capital. Can you tell us

0:17:54.400 --> 0:17:59.560
<v Speaker 1>quickly what exactly it does, what the what the mandate is? Yeah?

0:17:59.600 --> 0:18:06.120
<v Speaker 1>So out test is is really an intuitive, simple, scalable

0:18:06.280 --> 0:18:13.080
<v Speaker 1>idea for how to do two things. One take advantage

0:18:13.080 --> 0:18:15.680
<v Speaker 1>of what we think is the most forward facing risk

0:18:16.760 --> 0:18:20.159
<v Speaker 1>for all investors, which is the rate of technological change

0:18:20.680 --> 0:18:26.520
<v Speaker 1>and how tech is disrupting all industries. And secondarily, the

0:18:26.720 --> 0:18:32.480
<v Speaker 1>wave of flows into the passive index investing marketplace, which

0:18:32.480 --> 0:18:36.040
<v Speaker 1>I personally witnessed in my prior role, and as something

0:18:36.080 --> 0:18:40.959
<v Speaker 1>that I think is going to continue infinitum. And so

0:18:41.760 --> 0:18:45.600
<v Speaker 1>what simply one should think about is it may be important,

0:18:45.600 --> 0:18:48.160
<v Speaker 1>more important what you leave out of your portfolio than

0:18:48.200 --> 0:18:50.479
<v Speaker 1>what you put in. And thus the name and branding

0:18:50.520 --> 0:18:55.359
<v Speaker 1>of our enterprise called outvest Capital. So this is really interesting.

0:18:55.560 --> 0:18:59.560
<v Speaker 1>We typically think of funds as trying to select the

0:18:59.640 --> 0:19:03.440
<v Speaker 1>very best assets within some sort of broader family, whether

0:19:03.440 --> 0:19:07.840
<v Speaker 1>it's large caps or small caps, whatever. Your view is

0:19:08.000 --> 0:19:11.040
<v Speaker 1>that perhaps the best way to go is to more

0:19:11.119 --> 0:19:14.000
<v Speaker 1>or less by the index, but try to avoid the

0:19:14.000 --> 0:19:16.000
<v Speaker 1>losers of the index so that you can gain from that.

0:19:16.359 --> 0:19:20.320
<v Speaker 1>What is the Is there an academic research or backward

0:19:20.320 --> 0:19:22.960
<v Speaker 1>looking data that suggests that that may be a better approach,

0:19:23.359 --> 0:19:26.560
<v Speaker 1>So there isn't that we could identify. We wrote our

0:19:26.600 --> 0:19:30.120
<v Speaker 1>own white paper which talks to this concept because if

0:19:30.119 --> 0:19:32.320
<v Speaker 1>you really think about what you when you go to

0:19:32.359 --> 0:19:37.200
<v Speaker 1>business school, you're given Harry Markowitz's book on modern portfolio theory,

0:19:37.320 --> 0:19:42.679
<v Speaker 1>and it is pick concentrated portfolios of best ideas and

0:19:42.760 --> 0:19:46.720
<v Speaker 1>over time you will beat the market. Right, that's the

0:19:47.280 --> 0:19:50.080
<v Speaker 1>basis for the way most people are educated today, and

0:19:50.119 --> 0:19:54.120
<v Speaker 1>still today we take issue with that and actually say

0:19:54.160 --> 0:19:59.080
<v Speaker 1>that really flip the investment process and it's more important

0:19:59.119 --> 0:20:01.040
<v Speaker 1>what you leave out than with you put in. Because

0:20:01.440 --> 0:20:05.280
<v Speaker 1>the market has evolved, index funds are the market today.

0:20:05.320 --> 0:20:08.520
<v Speaker 1>They are continuing to grasp more and more of what's

0:20:08.520 --> 0:20:13.280
<v Speaker 1>happening where flows are going. And we decided to launch

0:20:13.359 --> 0:20:16.600
<v Speaker 1>this concept after simulating back testing it for a little while.

0:20:17.080 --> 0:20:20.320
<v Speaker 1>But we have chosen the SMP five hundred, the most

0:20:20.359 --> 0:20:25.480
<v Speaker 1>broadest based domestic US market where more flows are going

0:20:25.560 --> 0:20:30.360
<v Speaker 1>than in any other index, and simply by excluding as

0:20:30.400 --> 0:20:33.120
<v Speaker 1>you call them the losers. We look at it as

0:20:34.000 --> 0:20:38.119
<v Speaker 1>we're trying to eliminate from the portfolio those companies that

0:20:38.240 --> 0:20:42.720
<v Speaker 1>are or likely will be disrupted by technology. And again

0:20:42.800 --> 0:20:48.959
<v Speaker 1>technology disruption being a forward facing risk. And there's no

0:20:49.040 --> 0:20:52.040
<v Speaker 1>better example for me to to share, and I think

0:20:52.080 --> 0:20:54.320
<v Speaker 1>you you guys have talked about this in the past,

0:20:54.400 --> 0:21:00.200
<v Speaker 1>is General Electric. General Electric was the top five i've

0:21:00.560 --> 0:21:04.040
<v Speaker 1>company in the SMP from a market cap weighted basis,

0:21:05.119 --> 0:21:09.760
<v Speaker 1>and now it's market cap is close to a hundred billions,

0:21:10.640 --> 0:21:13.280
<v Speaker 1>and now I'll blow a hundred billions, Okay, So look,

0:21:13.320 --> 0:21:15.960
<v Speaker 1>and that's happened in such a short period of time.

0:21:16.600 --> 0:21:18.399
<v Speaker 1>And I think in May of two thousand seventeen, the

0:21:18.440 --> 0:21:21.080
<v Speaker 1>Wall Street Journal wrote an article about how Jeff Emo

0:21:21.240 --> 0:21:26.120
<v Speaker 1>was one of the great technology innovators in the way

0:21:26.160 --> 0:21:30.760
<v Speaker 1>in which he'd you know, taken and transformed g GE. Well,

0:21:30.760 --> 0:21:34.480
<v Speaker 1>that clearly hasn't happened. So it's it's think about that

0:21:34.520 --> 0:21:36.480
<v Speaker 1>if you own the SMP, you were buying that stock

0:21:36.640 --> 0:21:39.600
<v Speaker 1>at its weight, and if you've simply eliminated what kind

0:21:39.600 --> 0:21:42.080
<v Speaker 1>of outperformance just from one security? Now we do this.

0:21:42.680 --> 0:21:45.440
<v Speaker 1>We ended up out vesting through our process about a

0:21:45.520 --> 0:21:51.040
<v Speaker 1>hundred and fifty close to of the market cap, and

0:21:51.080 --> 0:21:54.040
<v Speaker 1>we have been able in eighteen months of live performance

0:21:54.800 --> 0:21:57.560
<v Speaker 1>outperform the SMP by clist of five hundred basis points.

0:21:58.680 --> 0:22:00.840
<v Speaker 1>So we're just trying to prove move this out. But

0:22:00.960 --> 0:22:04.159
<v Speaker 1>that's where we're that's what we're doing. So how do

0:22:04.200 --> 0:22:08.280
<v Speaker 1>you go about identifying those hundred fifty companies or how

0:22:08.280 --> 0:22:11.560
<v Speaker 1>do you identify the next g e? And is the

0:22:11.600 --> 0:22:14.639
<v Speaker 1>process for identifying something that you want to take out

0:22:14.720 --> 0:22:19.879
<v Speaker 1>of your portfolio any different to identifying something you know

0:22:19.960 --> 0:22:22.960
<v Speaker 1>under a traditional investment strategy that you would want to

0:22:23.000 --> 0:22:27.680
<v Speaker 1>put in. So yes it is. And and the number

0:22:27.680 --> 0:22:29.280
<v Speaker 1>of folks who we've talked about to say, why aren't

0:22:29.280 --> 0:22:32.480
<v Speaker 1>you just doing a long short portfolio, because really the

0:22:32.680 --> 0:22:36.560
<v Speaker 1>short selling mentality is to is to do that, to

0:22:36.720 --> 0:22:40.679
<v Speaker 1>fundamentally select a security you think is going to not

0:22:40.840 --> 0:22:45.439
<v Speaker 1>perform or under perform. But we're we're really trying to

0:22:45.440 --> 0:22:49.639
<v Speaker 1>make this a scalable business, and short selling by definition

0:22:49.720 --> 0:22:52.680
<v Speaker 1>has been non scalable. You have I think only one

0:22:52.720 --> 0:22:54.920
<v Speaker 1>fund in the marketplace that's over a billion and a

0:22:55.080 --> 0:22:58.840
<v Speaker 1>u M. So what our process entails is it's really

0:22:58.920 --> 0:23:03.680
<v Speaker 1>two prong The for is simply dividing the index into

0:23:03.720 --> 0:23:08.520
<v Speaker 1>industry groups through a technology taxonomy. In other words, we're

0:23:08.560 --> 0:23:13.479
<v Speaker 1>not using the global industry classification codes to divide the index.

0:23:13.520 --> 0:23:18.200
<v Speaker 1>We're using our own industry group determinations. And we we've

0:23:18.200 --> 0:23:20.760
<v Speaker 1>divided the SMP into thirty four industry groups, and that

0:23:20.800 --> 0:23:24.720
<v Speaker 1>may change depending upon how the SMP evolves over time,

0:23:24.760 --> 0:23:27.919
<v Speaker 1>because there are new entrants and companies that leave the

0:23:28.000 --> 0:23:32.160
<v Speaker 1>SMP from time to time. So we look at industry

0:23:32.160 --> 0:23:34.560
<v Speaker 1>groups through our own lens and then we make a

0:23:34.640 --> 0:23:40.280
<v Speaker 1>simple determination as that industry advantaged or disadvantaged by technology,

0:23:40.520 --> 0:23:43.520
<v Speaker 1>and if it's advantaged, by default, that industry group and

0:23:43.520 --> 0:23:46.919
<v Speaker 1>the securities in it will be in the portfolio. And

0:23:46.960 --> 0:23:50.520
<v Speaker 1>if it's disadvantaged, that secure those securities and industry groups

0:23:50.520 --> 0:23:54.439
<v Speaker 1>will be out vested from the portfolio or eliminated. So

0:23:54.480 --> 0:23:58.320
<v Speaker 1>that's step one. It's a qualitative determination. It's an active approach,

0:23:58.680 --> 0:24:03.879
<v Speaker 1>but it's merely making industry decisions, not company specific decisions.

0:24:04.640 --> 0:24:08.600
<v Speaker 1>We then apply a quantitative model that we built to

0:24:08.760 --> 0:24:12.879
<v Speaker 1>take that advantage group and make a decision whether to

0:24:12.880 --> 0:24:15.160
<v Speaker 1>own it or not own it. So if it meets

0:24:15.200 --> 0:24:17.959
<v Speaker 1>the quant screens, and the quant screens are are a

0:24:18.000 --> 0:24:22.040
<v Speaker 1>lower bar for advantaged industries than they are for disadvantage.

0:24:22.040 --> 0:24:24.719
<v Speaker 1>And similarly, if a company is in a disadvantaged industry,

0:24:24.720 --> 0:24:28.000
<v Speaker 1>the quant screen will either keep it out or kick

0:24:28.080 --> 0:24:31.639
<v Speaker 1>it back into the portfolio. So you can avoid situations

0:24:31.640 --> 0:24:34.840
<v Speaker 1>where there are certain companies within an industry group. And

0:24:34.880 --> 0:24:37.760
<v Speaker 1>I'll give you an example of that. Retail would clearly

0:24:37.800 --> 0:24:41.600
<v Speaker 1>be a industry group that is likely to be disadvantaged

0:24:41.640 --> 0:24:44.199
<v Speaker 1>by technology. I don't think many people would debate me

0:24:44.240 --> 0:24:47.440
<v Speaker 1>on that, but there are companies within that industry group,

0:24:48.600 --> 0:24:52.800
<v Speaker 1>like home depot, that we view as through our quant

0:24:52.880 --> 0:24:55.800
<v Speaker 1>screen as having certain advantages and therefore it got kicked

0:24:55.880 --> 0:24:59.520
<v Speaker 1>back in. And this is a fundamental quantz quant screen fund.

0:24:59.760 --> 0:25:03.560
<v Speaker 1>This is looking at financial data of the company and

0:25:03.720 --> 0:25:07.240
<v Speaker 1>something in that suggests that it's different than other retail.

0:25:07.480 --> 0:25:11.280
<v Speaker 1>That's right now. You mentioned the advantage and investor could

0:25:11.280 --> 0:25:15.680
<v Speaker 1>have by say, investing in the sp and not being

0:25:15.720 --> 0:25:18.399
<v Speaker 1>exposed to G like even that would have been pretty good.

0:25:19.119 --> 0:25:22.480
<v Speaker 1>Is there something that your screening would have picked up

0:25:22.880 --> 0:25:25.480
<v Speaker 1>three years ago or two years ago or five years

0:25:25.480 --> 0:25:27.720
<v Speaker 1>ago and never g E started to enter a tail

0:25:27.760 --> 0:25:32.040
<v Speaker 1>spin that would have prevented that from getting into the portfolio.

0:25:32.119 --> 0:25:34.000
<v Speaker 1>And can you identify what that is. Yeah, And indeed,

0:25:34.320 --> 0:25:36.639
<v Speaker 1>in the case of G was our model that kicked

0:25:36.680 --> 0:25:39.520
<v Speaker 1>the company out because we actually view industrials, which is

0:25:39.560 --> 0:25:42.520
<v Speaker 1>this the industry group that G falls into, as an

0:25:42.560 --> 0:25:48.520
<v Speaker 1>advantage sector. I mean that's industrials are clearly looking to technology,

0:25:48.560 --> 0:25:51.800
<v Speaker 1>whether it's through robotics or otherwise to improve efficiencies and

0:25:51.920 --> 0:25:54.760
<v Speaker 1>what they do. So long term, we we see that

0:25:54.800 --> 0:25:58.840
<v Speaker 1>as an advantaged industry group. But the model kick G out,

0:25:59.240 --> 0:26:03.359
<v Speaker 1>and primarily the the one particular signal for for for

0:26:03.440 --> 0:26:07.480
<v Speaker 1>that company was was revenue growth rate. And so you

0:26:07.600 --> 0:26:11.320
<v Speaker 1>had a situation where it's declining revenue growth and it's

0:26:11.400 --> 0:26:15.640
<v Speaker 1>very hard for companies and publicly reported financials to fudge revenue.

0:26:16.400 --> 0:26:20.240
<v Speaker 1>They can make all kinds of adjustments to EBITDA and

0:26:20.359 --> 0:26:24.160
<v Speaker 1>other earnings metrics, but in the case of revenue, it's

0:26:24.160 --> 0:26:30.520
<v Speaker 1>pretty tough two the fudget. So they triggered the model

0:26:30.840 --> 0:26:34.080
<v Speaker 1>and got kicked out of the portfolio. Not long after

0:26:34.160 --> 0:26:37.280
<v Speaker 1>we launched our fund, you mentioned that you had thought

0:26:37.280 --> 0:26:41.160
<v Speaker 1>a lot about passive investing, the rise of passive investing.

0:26:41.680 --> 0:26:43.760
<v Speaker 1>I assume that means that you've also thought a lot

0:26:43.800 --> 0:26:47.760
<v Speaker 1>about the benchmark in disease and how those are constructed,

0:26:47.920 --> 0:26:49.760
<v Speaker 1>and in fact, you know what you're talking about. It

0:26:49.840 --> 0:26:54.840
<v Speaker 1>outvest is basically tweaking the SMP five hundred, which is

0:26:54.920 --> 0:27:00.119
<v Speaker 1>itself a benchmark index. What do you think about the

0:27:00.160 --> 0:27:03.080
<v Speaker 1>decisions that go into making the indusseries as as they

0:27:03.119 --> 0:27:07.800
<v Speaker 1>currently stand. Yeah, look, we were having we're in the

0:27:07.880 --> 0:27:10.520
<v Speaker 1>moment right now right where you have probably the most

0:27:10.560 --> 0:27:15.480
<v Speaker 1>significant change to the SMP in terms of get classification. Right.

0:27:15.560 --> 0:27:20.399
<v Speaker 1>You have a single person, David Blitzer, CEO of the SMP,

0:27:20.640 --> 0:27:24.280
<v Speaker 1>who has the ability to make these changes in and

0:27:24.320 --> 0:27:26.680
<v Speaker 1>now all of a sudden, we have something called communication

0:27:26.800 --> 0:27:32.040
<v Speaker 1>services because Telecom had only two of the index when

0:27:32.840 --> 0:27:35.680
<v Speaker 1>in two as we started this thing, I think Telecom

0:27:35.720 --> 0:27:39.720
<v Speaker 1>was a significant percentage of the SMP, right so certainly

0:27:39.920 --> 0:27:43.040
<v Speaker 1>was even ten years ago as compared to today. So

0:27:43.560 --> 0:27:49.360
<v Speaker 1>they had to make adjustments two maintain the broad diversification

0:27:50.480 --> 0:27:54.960
<v Speaker 1>of the index from a sector standpoint. That to us

0:27:55.680 --> 0:27:58.320
<v Speaker 1>is sort of a statement of support for what we're

0:27:58.440 --> 0:28:01.760
<v Speaker 1>trying to do because we we look at the SMP

0:28:02.560 --> 0:28:06.080
<v Speaker 1>as a diversified portfolio where people if they want to

0:28:06.080 --> 0:28:10.480
<v Speaker 1>diversified exposure the market, and we think all investors they've

0:28:10.480 --> 0:28:12.960
<v Speaker 1>shown us that they want to have a diversified exposure

0:28:13.000 --> 0:28:16.919
<v Speaker 1>to the general market, and in fact, institutional investors really

0:28:17.119 --> 0:28:19.920
<v Speaker 1>need to have it, as most of their investment policy

0:28:19.920 --> 0:28:23.280
<v Speaker 1>statements require them to have exposure. If if they can

0:28:23.359 --> 0:28:26.840
<v Speaker 1>get that exposure in the same diversified way like our

0:28:26.920 --> 0:28:30.280
<v Speaker 1>beta is is is almost one point oh even though

0:28:30.320 --> 0:28:33.919
<v Speaker 1>we we excluded a hundred and fifty names, if they

0:28:33.920 --> 0:28:37.520
<v Speaker 1>can get that and outperformed by the kind of margin

0:28:37.600 --> 0:28:39.480
<v Speaker 1>that we've been able to generate in a very short

0:28:39.520 --> 0:28:41.840
<v Speaker 1>period of time, and we think we can consistently do

0:28:41.920 --> 0:28:45.680
<v Speaker 1>that over time, and consistency is a is a keyword

0:28:45.720 --> 0:28:49.880
<v Speaker 1>in the asset management industry. Uh, they have to pay

0:28:49.880 --> 0:28:53.920
<v Speaker 1>attention to that. So how the the indices change and

0:28:54.000 --> 0:28:57.360
<v Speaker 1>evolve over time is going to be a significant impact,

0:28:57.480 --> 0:28:59.840
<v Speaker 1>I think on the overall market. But there is no

0:29:00.040 --> 0:29:03.840
<v Speaker 1>one that we've seen who's approached it as we have

0:29:04.240 --> 0:29:07.200
<v Speaker 1>that is flipping this process to think about what to

0:29:07.280 --> 0:29:09.360
<v Speaker 1>leave out as opposed to what to put in. Can

0:29:09.440 --> 0:29:12.320
<v Speaker 1>you tell us sort of what if, if in what

0:29:12.440 --> 0:29:16.480
<v Speaker 1>anything in your experience at Third Avenue or even with

0:29:16.680 --> 0:29:21.160
<v Speaker 1>the collapse of the concentrated credit fund sort of led

0:29:21.240 --> 0:29:24.880
<v Speaker 1>to you seeing this opportunity. Yeah, look, I I was

0:29:24.960 --> 0:29:28.840
<v Speaker 1>a a student for a long period of time of

0:29:28.880 --> 0:29:32.360
<v Speaker 1>my mentor and the founder off Third Have and being

0:29:32.400 --> 0:29:37.520
<v Speaker 1>taught about concepts like diversification as a surrogate and a

0:29:37.600 --> 0:29:43.080
<v Speaker 1>very poor surrogate for knowledge and and investing right, because

0:29:43.840 --> 0:29:46.280
<v Speaker 1>you should know more about research, what you can fundamentally

0:29:46.600 --> 0:29:49.400
<v Speaker 1>learn about a business, invest in that business, and over

0:29:49.440 --> 0:29:53.320
<v Speaker 1>long time you'll be rewarded for that patience and and

0:29:53.480 --> 0:29:58.560
<v Speaker 1>work right research. Yet consistently from the financial crisis forward,

0:29:59.480 --> 0:30:04.080
<v Speaker 1>we were able to outperform indices. And so what asset

0:30:04.120 --> 0:30:07.520
<v Speaker 1>managers like us did was we change the benchmark that

0:30:07.560 --> 0:30:11.160
<v Speaker 1>we ended up getting compared to because we looked better

0:30:11.160 --> 0:30:14.479
<v Speaker 1>against another benchmark than the original benchmark. We chose right.

0:30:14.520 --> 0:30:18.760
<v Speaker 1>We were a SMP five hundred originally measured fund and

0:30:18.800 --> 0:30:22.360
<v Speaker 1>we changed right. So what I was informed about there

0:30:22.400 --> 0:30:25.120
<v Speaker 1>is you cannot I think you cannot beat the market.

0:30:25.160 --> 0:30:28.640
<v Speaker 1>And if you can, then you're going to be in

0:30:28.680 --> 0:30:31.800
<v Speaker 1>a hedge fund charging two percent management fees and the

0:30:31.840 --> 0:30:35.080
<v Speaker 1>profits because you're a special individual who has skills that

0:30:35.120 --> 0:30:41.320
<v Speaker 1>are more extraordinary, or you're a quantitative, purely quantitative manager

0:30:41.360 --> 0:30:45.080
<v Speaker 1>who has come up with some concept that can beat

0:30:45.120 --> 0:30:47.520
<v Speaker 1>the market. And we're seeing more and more asset flows

0:30:47.520 --> 0:30:50.440
<v Speaker 1>into those types of vehicles as well. So the the

0:30:50.520 --> 0:30:56.160
<v Speaker 1>informed judgment that I made was I now believe fully

0:30:56.200 --> 0:31:00.240
<v Speaker 1>that these the market is going to evolve with more

0:31:00.280 --> 0:31:04.600
<v Speaker 1>and more flows going into these types of entities, if

0:31:04.680 --> 0:31:07.400
<v Speaker 1>just for fees, right, just just because fees are are

0:31:07.480 --> 0:31:11.320
<v Speaker 1>much less, So if we can, if we can participate

0:31:11.440 --> 0:31:15.440
<v Speaker 1>in capturing some of that flow, because we've come up

0:31:15.480 --> 0:31:18.400
<v Speaker 1>with this intuitive concept and we're thinking about a forward risk.

0:31:18.560 --> 0:31:23.560
<v Speaker 1>This is about technology disruption, which nobody's talking about. You

0:31:23.560 --> 0:31:26.600
<v Speaker 1>guys will spend all day talking yesterday about what what's

0:31:26.600 --> 0:31:29.720
<v Speaker 1>going to happen with the FED, and people study it

0:31:29.800 --> 0:31:32.720
<v Speaker 1>up upwards and downwards. But how much time do you

0:31:32.760 --> 0:31:39.120
<v Speaker 1>spend focusing on Moore's law and how that's impacting decision

0:31:39.160 --> 0:31:43.080
<v Speaker 1>making and people's rate of change? Right? I was just

0:31:43.240 --> 0:31:44.880
<v Speaker 1>I'll push back a little bit. I mean, I would say,

0:31:44.880 --> 0:31:47.480
<v Speaker 1>we we do talk about this stuff, and we talk

0:31:47.520 --> 0:31:51.320
<v Speaker 1>about vulnerable industries, and we talk about, say the clash

0:31:51.400 --> 0:31:56.400
<v Speaker 1>between Amazon and physical retail. The thing that intrigues me

0:31:56.600 --> 0:31:59.800
<v Speaker 1>most as a theory here is the idea of being

0:32:00.000 --> 0:32:05.120
<v Speaker 1>able to quantify the disruption risk and the you know,

0:32:05.200 --> 0:32:07.400
<v Speaker 1>we could talk you know one of the best performing

0:32:07.480 --> 0:32:10.640
<v Speaker 1>sectors this year has been the department stores. And so

0:32:10.680 --> 0:32:13.520
<v Speaker 1>this idea of actually being able to identify in a

0:32:13.560 --> 0:32:16.840
<v Speaker 1>systematic manner and not just sort of your gut feel

0:32:17.080 --> 0:32:19.760
<v Speaker 1>of these guys are in trouble is the part that

0:32:19.840 --> 0:32:24.600
<v Speaker 1>I find to be I'm most interested in trying to understand. Yeah,

0:32:24.640 --> 0:32:27.640
<v Speaker 1>and I would tell you that the fund and the

0:32:27.680 --> 0:32:32.640
<v Speaker 1>concept is really about long term secular decline, but it

0:32:32.720 --> 0:32:37.280
<v Speaker 1>will be technology that will be the the triggering for

0:32:37.400 --> 0:32:40.440
<v Speaker 1>that long term secular decline. So maybe department stores are

0:32:40.440 --> 0:32:42.960
<v Speaker 1>out performing because they were so under performing, but that's

0:32:43.000 --> 0:32:46.920
<v Speaker 1>a I'd argue that that's a temporary a temporary blip,

0:32:47.240 --> 0:32:50.120
<v Speaker 1>and that over time you'll continue to see deterioration in

0:32:50.160 --> 0:32:53.800
<v Speaker 1>cycular decline unless they're able to transform themselves. And there

0:32:53.840 --> 0:32:57.560
<v Speaker 1>are businesses that have been able to adjust, and it's

0:32:57.640 --> 0:32:59.640
<v Speaker 1>those companies that adjust that I think will be the

0:32:59.680 --> 0:33:04.560
<v Speaker 1>long term all Right, Well, David Bars, co founder and

0:33:04.680 --> 0:33:07.720
<v Speaker 1>principle at Outvest, thank you so much for joining us.

0:33:08.360 --> 0:33:25.600
<v Speaker 1>Thank you, Joe, Tracy really appreciate thank you. That was great. So, Joe,

0:33:25.720 --> 0:33:28.840
<v Speaker 1>I found that conversation really fascinating, not just to hear

0:33:28.920 --> 0:33:31.960
<v Speaker 1>the thoughts about what happened at Third Avenue, but also

0:33:32.040 --> 0:33:35.440
<v Speaker 1>to hear his thoughts about diversification and the rise and

0:33:35.520 --> 0:33:38.040
<v Speaker 1>passive investing, which is something that you and I have

0:33:38.160 --> 0:33:41.560
<v Speaker 1>talked about quite a bit at this point. Yeah. Absolutely.

0:33:41.600 --> 0:33:47.080
<v Speaker 1>I was going into the conversation thinking, oh, definitely the

0:33:47.200 --> 0:33:50.320
<v Speaker 1>sort of Third Avenue fun collapse would be the most

0:33:50.360 --> 0:33:54.000
<v Speaker 1>interesting part. But now I'm really intrigued sort of by

0:33:54.040 --> 0:33:58.800
<v Speaker 1>the second half. And Okay, accepting this reality that we

0:33:58.880 --> 0:34:02.160
<v Speaker 1>have now of mass of flows into passive or passive

0:34:02.280 --> 0:34:06.840
<v Speaker 1>issue vehicles, what are the approaches that makes sense for now?

0:34:06.880 --> 0:34:09.719
<v Speaker 1>Because as David said, it's pretty obvious it's just the

0:34:09.880 --> 0:34:14.879
<v Speaker 1>sort of concentrated fund management strategy, particularly on the equity side.

0:34:14.960 --> 0:34:17.759
<v Speaker 1>It's just not working for anyone. It looks like, right,

0:34:17.840 --> 0:34:20.279
<v Speaker 1>and there's actually a link with um, you know what

0:34:20.360 --> 0:34:23.319
<v Speaker 1>you said about Third Avenue, this notion that you know,

0:34:23.400 --> 0:34:26.799
<v Speaker 1>if you're going to have a public facing fund, and

0:34:26.960 --> 0:34:29.640
<v Speaker 1>especially an open ended one, you better make sure that

0:34:29.680 --> 0:34:33.960
<v Speaker 1>it's diversified because otherwise people tend to get angry very

0:34:34.040 --> 0:34:36.480
<v Speaker 1>quickly and tend to pull their money out very quickly,

0:34:36.640 --> 0:34:40.040
<v Speaker 1>Whereas if you're investing, you know, in a broad index,

0:34:41.040 --> 0:34:44.000
<v Speaker 1>it's kind of like that old maxim, that business maximum.

0:34:44.040 --> 0:34:46.920
<v Speaker 1>You know, no one ever got fired for buying IBM,

0:34:47.000 --> 0:34:49.799
<v Speaker 1>No one ever got fired for buying the SMP five

0:34:49.880 --> 0:34:53.680
<v Speaker 1>hundred and making you know, little tweaks to it right absolutely,

0:34:53.680 --> 0:34:56.600
<v Speaker 1>And this idea that maybe you could basically get the

0:34:56.600 --> 0:35:00.719
<v Speaker 1>exact same beta, the exact same diversification with three fifty

0:35:00.800 --> 0:35:05.360
<v Speaker 1>or four hundred of the SP stocks is pretty interesting.

0:35:05.840 --> 0:35:09.040
<v Speaker 1>And you're probably not going to get fired for missing

0:35:09.080 --> 0:35:12.200
<v Speaker 1>out on one of those hundred stocks they've got kicked out.

0:35:12.560 --> 0:35:14.160
<v Speaker 1>And I like the idea that if they did turn

0:35:14.200 --> 0:35:17.319
<v Speaker 1>themselves around, so maybe like some department store really does

0:35:18.080 --> 0:35:20.920
<v Speaker 1>figure out the magic sauce to save retail, then maybe

0:35:21.239 --> 0:35:24.200
<v Speaker 1>you could get back into the fund. On fundamental reasons,

0:35:25.560 --> 0:35:28.440
<v Speaker 1>I am rooting for Sears. I have a soft spot

0:35:28.480 --> 0:35:30.840
<v Speaker 1>for Sears. I hope they they are one of the

0:35:30.880 --> 0:35:33.759
<v Speaker 1>ones that can redeem themselves. Who knows, I'm rooting for

0:35:33.800 --> 0:35:37.879
<v Speaker 1>them to it. Okay, all right, Well this has been

0:35:38.160 --> 0:35:41.600
<v Speaker 1>another episode of the Odd Lots podcast. I'm Tracy Alloway.

0:35:41.680 --> 0:35:44.480
<v Speaker 1>You can follow me on Twitter at Tracy Alloway, and

0:35:44.480 --> 0:35:47.080
<v Speaker 1>I'm Joe Wisa though. You can follow me on Twitter

0:35:47.360 --> 0:35:50.640
<v Speaker 1>at the Stalwart and you should follow our producer on

0:35:50.680 --> 0:35:53.480
<v Speaker 1>Twitter He's told for Foreheads. His handle is at for

0:35:53.719 --> 0:35:57.680
<v Speaker 1>headst and followed the Bloomberg head of podcast Francesco leaving

0:35:57.880 --> 0:36:08.320
<v Speaker 1>at Francesca Today. Thanks for listening.