WEBVTT - This ETF Is All About Rejection

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<v Speaker 1>Welcome to chains.

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<v Speaker 2>I'm Joel Webber and I'm Eric Balchunis Eric.

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<v Speaker 3>We get to see a lot of ETFs. We talk

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<v Speaker 3>about a lot of new ones, we talk about a

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<v Speaker 3>lot of old ones.

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<v Speaker 1>We talk about the market as a whole.

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<v Speaker 3>I think that when we're going to talk about today

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<v Speaker 3>is pretty cool.

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<v Speaker 1>I haven't ever actually considered this idea before.

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<v Speaker 2>Yeah, it's really interesting. It stuck out to me for

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<v Speaker 2>a few reasons. You know, there's five hundred ETFs that launch,

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<v Speaker 2>and only a couple stick out right off the bat,

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<v Speaker 2>and this one does. It's called the Research Affiliates Deletions ETF.

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<v Speaker 2>The ticker is next, which is pretty apropos and it's

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<v Speaker 2>for research Affiliates. Who is Rob ar Nott's company and

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<v Speaker 2>Rob are not is known as the grandfather of smart beta,

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<v Speaker 2>So the godfather of grandfather one of those two, but

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<v Speaker 2>he's he's he kind of really pioneered that space. And

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<v Speaker 2>for those who don't know, smart beta effect effectively is

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<v Speaker 2>taking an index and tweaking it and designing it with

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<v Speaker 2>some activeness so that it does different things than basically

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<v Speaker 2>just track market beta. Anyway, that's a big category with

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<v Speaker 2>two trillion now and so here's another ETF that is

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<v Speaker 2>sort of from his brain. And this one is also

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<v Speaker 2>interesting because Athanasios on my team just covered the same thing,

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<v Speaker 2>so that they independently found the sort of same data

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<v Speaker 2>that when a stock gets into an index, you think

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<v Speaker 2>that's the time to buy it, but actually when it

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<v Speaker 2>gets kicked out, data shows that has a better performance

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<v Speaker 2>after getting kicked out, which we thought was interesting. And

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<v Speaker 2>obviously this index and ETF is trying to capitalize on

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<v Speaker 2>so just an interesting product, and the fees low has

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<v Speaker 2>a probably a good shot of success. So I just

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<v Speaker 2>think it's also interesting because people do really look at

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<v Speaker 2>how the indexes are impacting stocks and stock prices, and

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<v Speaker 2>here's somebody saying, okay, let's stop talking about it, let's

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<v Speaker 2>try to make some money about it.

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<v Speaker 3>So joining us on this episode, Rob are not the

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<v Speaker 3>founder of research, this time on trillions. Out with the

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<v Speaker 3>New and with the Old, Rob Wilko A trillions, thank

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<v Speaker 3>you so much so. Our colleagues in Bloomberg News wrote

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<v Speaker 3>that lead that headline right there, Out with the new,

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<v Speaker 3>end with the old. That was our colleague of Vildanna

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<v Speaker 3>hi Rich, so fitting, I think, But where where did

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<v Speaker 3>this idea come from? How did you see that there

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<v Speaker 3>was this opportunity and sort of companies that had fallen

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<v Speaker 3>out of the indexes that you know, if you pick

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<v Speaker 3>them all up, might actually be, you know, we're worthy

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<v Speaker 3>of a portfolio of their own.

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<v Speaker 4>Well, we were at a paper back in twenty eighteen

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<v Speaker 4>entitled by High and Sell Low with index funds, and

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<v Speaker 4>the point of the paper was that index funds are

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<v Speaker 4>most people think of them as passive, as representing and

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<v Speaker 4>spanning the whole market, and they approximate do that they're passive,

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<v Speaker 4>except that they do add new stocks and they do

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<v Speaker 4>drop old stocks, hence in with the new and out

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<v Speaker 4>with the old. But that's an active decision. In the

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<v Speaker 4>case of S and P and MSCI, the indexes are

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<v Speaker 4>additions and deletions are sorted through by a committee, and

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<v Speaker 4>in the case of Russell, it's done in a somewhat

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<v Speaker 4>formulaic way. But either way, stocks that get added to

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<v Speaker 4>the index tend to be stocks that have swored, where

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<v Speaker 4>their market value has risen to a point where they're

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<v Speaker 4>big enough to grab a lot of interest and lo

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<v Speaker 4>and behold. Those stocks tend to be trading at frothy multiples.

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<v Speaker 4>On average, about twice the valuation multiples, price earnings or

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<v Speaker 4>price to sales ratios of the broad market, and once

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<v Speaker 4>they're added, the process of adding them pushes them higher. Still.

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<v Speaker 4>In the case of Tesla, just as one example, between

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<v Speaker 4>the announcement date and the effective date of it coming

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<v Speaker 4>into the index, it rose I think over forty percent,

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<v Speaker 4>if memory serves correctly. Now, are the index funds traumatized

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<v Speaker 4>by buying forty percent higher than they could have just

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<v Speaker 4>a few weeks earlier, No, they're not. They're focused on

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<v Speaker 4>tracking here. They want to track perfectly with the index,

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<v Speaker 4>and so they want to buy at exactly the price

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<v Speaker 4>at which the index adds the stock. Now, for every

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<v Speaker 4>stock that's added, something has to go out, and in

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<v Speaker 4>the case sometimes it's a merger or an acquisition or

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<v Speaker 4>a bankruptcy, so there's no decision involved. But if they

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<v Speaker 4>have to make a decision, it's what we would call

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<v Speaker 4>a discretionary deletion. They have to choose a company to

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<v Speaker 4>take out. Well, that's going to be a company that's

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<v Speaker 4>been in free fall for a very long time, a

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<v Speaker 4>company that's trading at a deep discount relative to the market,

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<v Speaker 4>and the process of deleting it pushes it down even further.

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<v Speaker 4>So what did we find. We found that once you

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<v Speaker 4>add a stock on average underperforms for its first couple

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<v Speaker 4>of years by a percent or two a year. The

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<v Speaker 4>stocks that are dropped outperformed by about twenty percent in

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<v Speaker 4>the first year. Now, averaged over time, a lot of

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<v Speaker 4>that's clustered in the aftermath of the dot com bubble,

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<v Speaker 4>in the aftermath of the global financial crisis, but averaged

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<v Speaker 4>over time, the average deletion outperforms by twenty eight percent

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<v Speaker 4>over the next five years. That's a heck of a margin,

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<v Speaker 4>a heck of an incremental return.

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<v Speaker 2>It reminds me of the Fallen Angels bond etf When

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<v Speaker 2>a bond gets kicked out of investment grade and goes

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<v Speaker 2>into high yield, a lot of times it gets over

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<v Speaker 2>sold because so much institutional money tracks that index.

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<v Speaker 1>Is this trying to.

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<v Speaker 2>Exploit a quirk in the fact that indexes have gotten

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<v Speaker 2>so big that when they kick a member out, it

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<v Speaker 2>gets over sold beyond the sentiment. And that's important because

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<v Speaker 2>if a stock gets kicked out of an index, it

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<v Speaker 2>means that active has been selling it and it's in

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<v Speaker 2>free fall. As you say, so, I guess it just

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<v Speaker 2>seems like it could be a tricky business to try

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<v Speaker 2>to capture the over sold part and yet not get

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<v Speaker 2>burned by the fact that the company has been deemed

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<v Speaker 2>to be not worthy by active managers.

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<v Speaker 4>You know, you put your finger on a very very

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<v Speaker 4>interesting and very important point. If active managers don't want it,

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<v Speaker 4>then it falls in price. It's active managers, not the

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<v Speaker 4>index funds that do the price discovery, that set the

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<v Speaker 4>value of a stock. And if it's been in freefall

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<v Speaker 4>for a long time so that it's now worth so

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<v Speaker 4>little that they want to kick it out of the index,

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<v Speaker 4>then who's going to buy it? The index indexes s

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<v Speaker 4>and p indexes span about twenty five percent of the

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<v Speaker 4>market value of every single stock they own. So when

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<v Speaker 4>Tesla came in, twenty five percent of the stock outstanding

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<v Speaker 4>had to be bought by the index funds. And when

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<v Speaker 4>AIV went out, twenty five percent of its outstanding market

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<v Speaker 4>value had to be sold. And it was now a small,

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<v Speaker 4>ill liquid, rather thinly traded stock, So the impact on

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<v Speaker 4>the price is huge. The beauty of a deletion strategy

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<v Speaker 4>is that on average, you get a big rebound. Now

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<v Speaker 4>if you want to time it just perfectly forget it

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<v Speaker 4>active managers don't want it. You're absolutely right. But the

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<v Speaker 4>fact that it's so depressed means that it has to

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<v Speaker 4>only exceed a very low hurdle. It has to exceed

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<v Speaker 4>bleak expectations in order to perform well. Well over half

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<v Speaker 4>of all deletions go on to underperform, continue to underperform,

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<v Speaker 4>but the ones that exceed those bleak expectations rebound in

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<v Speaker 4>some cases so sharply that the overall average is improved

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<v Speaker 4>to a twenty eight percent gain over the market over

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<v Speaker 4>the next five years.

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<v Speaker 3>So Rob, one of the things that's so interesting about

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<v Speaker 3>the strategy is there's this smart beta that we've talked about,

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<v Speaker 3>and it's actually one of the reasons Eric and I

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<v Speaker 3>found each other all those years ago, because I was like,

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<v Speaker 3>this is really interesting. It's like it's sort of got

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<v Speaker 3>a part of passive and a part of active, and

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<v Speaker 3>you come together because the strategy is basically rules, right,

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<v Speaker 3>so it's not just active picking kind of whatever they

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<v Speaker 3>feel like is could have outperformance. It's like you look

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<v Speaker 3>at passive, you take some of the rules of passive

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<v Speaker 3>and you and some rules of the active, and you

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<v Speaker 3>kind of find a place, a heartless place in the middle.

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<v Speaker 3>And I'm curious when you think about this, how how

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<v Speaker 3>heartless is it?

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<v Speaker 1>Right?

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<v Speaker 3>Because I'm just drawn to like wanting to know what

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<v Speaker 3>the companies are that sort of exemplify the strategy. And

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<v Speaker 3>yet you, on the other hand, it's like you don't

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<v Speaker 3>really care about the companies so much as the strategy.

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<v Speaker 1>That's exactly the rules.

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<v Speaker 4>Yeah, Well, the whole essence of smart beta originally was

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<v Speaker 4>strategies that break the link between the price of a

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<v Speaker 4>stock and its weight in the portfolio. With conventional indexes,

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<v Speaker 4>the higher the price, the higher the valuation multiples, the

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<v Speaker 4>bigger your weight in that portfolio, and so you're assuredly

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<v Speaker 4>overweighting the overvalued and underweighting the undervalued. Well, deletions kind

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<v Speaker 4>of tick that to a new level. There they fall

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<v Speaker 4>in value so much that the index kicks them out

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<v Speaker 4>and gives them zero weight altogether. So one way to

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<v Speaker 4>think about this is it's a completion strategy. If you

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<v Speaker 4>want to own the market and you own an index fund,

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<v Speaker 4>you don't own the stocks that aren't in the index. Well,

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<v Speaker 4>that includes tiny companies that may or may not make it,

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<v Speaker 4>and size past successes that have fallen deeply out of

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<v Speaker 4>favor and I think that's why you get the snap back.

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<v Speaker 4>Your starting point is deep discount valuations, long term under performance.

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<v Speaker 4>That sort of thing can lay a foundation for long

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<v Speaker 4>horizon mean reversion for the bounce back that we're seeking

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<v Speaker 4>to catch.

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<v Speaker 2>Let's talk about this lack of you called it heartless,

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<v Speaker 2>lack of emotion, because a lot of ETFs coming on

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<v Speaker 2>hour active like active. I think last time I checked

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<v Speaker 2>about it, three quarters of all the launches are active,

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<v Speaker 2>and that's because the ETF rule has made it easier

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<v Speaker 2>to do active and I won't get in details, but

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<v Speaker 2>also active having a little bit of a renaissance anyway.

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<v Speaker 2>Smart Beta is active but using an index. So once

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<v Speaker 2>you set the index, you the human who manage the fund,

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<v Speaker 2>you can't do a thing about it. And that lack

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<v Speaker 2>of emotion, you know, is interesting because when you have

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<v Speaker 2>an active ETF at the end of the day, a

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<v Speaker 2>human can do a thing about it. And so I guess,

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<v Speaker 2>can you talk a little bit about how the lack

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<v Speaker 2>of emotion is you know, one of one of the features,

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<v Speaker 2>not bugs, I guess, of the smart Beta ETFs, which

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<v Speaker 2>by the way, now have two trillion in assets, that's

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<v Speaker 2>about twenty two twenty three percent of all etfsts.

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<v Speaker 4>Yeah, that's we crossed the two trillion threshold just this year.

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<v Speaker 4>That's kind of an exciting transition. Emotions are our enemy,

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<v Speaker 4>and investing emotions condition us to well, think about it

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<v Speaker 4>this way. Whatever has caused us has given us profit

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<v Speaker 4>and joy. We want more of that, even though past

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<v Speaker 4>profits don't mean future profits. Whatever has given us pain

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<v Speaker 4>and losses. Human nature says, get me out of here,

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<v Speaker 4>even though past disappointment doesn't mean future disappointment. In fact,

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<v Speaker 4>there's a market anomaly called long horizon meaner version, where

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<v Speaker 4>assets that have performed badly for a very long time

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<v Speaker 4>tend to outperform. That's one of the key drivers here. Well,

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<v Speaker 4>human emotion will tell us not to buy those stocks.

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<v Speaker 4>And so I love stripping emotion out of the decision

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<v Speaker 4>process because emotion steers us to do the wrong thing

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<v Speaker 4>at the wrong time all the time in investing.

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<v Speaker 2>You know, this idea of no emotion. One of the

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<v Speaker 2>best examples, and I cite it in my first book.

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<v Speaker 2>Droll was something that a CTF nerds you included called

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<v Speaker 2>the immaculate rebalance, And it was a time when one

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<v Speaker 2>of Rob's indexes, which was linked to the ETF called PRF.

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<v Speaker 2>It's a fundamentally weighted index. It had to do a

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<v Speaker 2>rebalance in two thousand and eight, two thousand and nine,

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<v Speaker 2>and because it had a certain program in it to

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<v Speaker 2>look for deeply you know, troubled deep value and whatnot,

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<v Speaker 2>it went and did a bout. It bought so many

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<v Speaker 2>bank stocks that the financial allocation went up to fifty

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<v Speaker 2>percent because no human on earth, no human manager, could

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<v Speaker 2>stomach buying those banks. After what happened in two thousand

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<v Speaker 2>and eight, I think I think you just got it

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<v Speaker 2>to me once. Like it was like a portfolio manager

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<v Speaker 2>running into a burning building and like.

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<v Speaker 1>I'll buy it, I'll buy it all. Yeah.

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<v Speaker 2>Yeah, it's like literally running into fire. But the index

0:13:28.440 --> 0:13:31.960
<v Speaker 2>doesn't care. It's like a terminator. It runs into the fire.

0:13:32.040 --> 0:13:33.520
<v Speaker 2>It doesn't it doesn't do anything.

0:13:33.960 --> 0:13:34.440
<v Speaker 1>Right? Is that?

0:13:34.760 --> 0:13:38.640
<v Speaker 2>And tell us about the index, the ETF versus the

0:13:38.679 --> 0:13:40.160
<v Speaker 2>separate account you have with that index.

0:13:41.640 --> 0:13:49.080
<v Speaker 4>Sure, well, the ETF you're referring to PRF is Investigo

0:13:49.200 --> 0:13:56.360
<v Speaker 4>Power Shares RAFFI one thousand, RAFI being Research affiliates Fundamental Index.

0:13:57.160 --> 0:14:00.959
<v Speaker 4>Fundamental index basically has a premise that we don't want

0:14:00.960 --> 0:14:03.720
<v Speaker 4>to weight stocks according to how expensive they are. We

0:14:03.800 --> 0:14:06.640
<v Speaker 4>want to wait them according to how big their business is.

0:14:07.600 --> 0:14:14.680
<v Speaker 4>So when you had a situation where very large businesses autos, banks,

0:14:14.720 --> 0:14:22.040
<v Speaker 4>and so forth were priced for oblivion, then Fundamental Index said, okay,

0:14:22.080 --> 0:14:25.720
<v Speaker 4>it's time to rebalance. Let's find out how big these

0:14:25.720 --> 0:14:27.920
<v Speaker 4>businesses are. Oh, they're still just as big as they

0:14:27.920 --> 0:14:30.840
<v Speaker 4>were a year ago. Okay, so let's top them up

0:14:31.480 --> 0:14:34.280
<v Speaker 4>to the weight that they had a year ago. And

0:14:34.560 --> 0:14:39.240
<v Speaker 4>the result was massive buying of deeply out of favor

0:14:39.320 --> 0:14:45.920
<v Speaker 4>financial services companies and autos and other consumer durables. One

0:14:45.960 --> 0:14:49.880
<v Speaker 4>of the autos, GM went bankrupt sixty days later, so

0:14:49.960 --> 0:14:52.880
<v Speaker 4>you bought into it and it went to zero. But

0:14:53.160 --> 0:14:56.280
<v Speaker 4>on the other hand, you bought into City and b

0:14:56.440 --> 0:15:00.120
<v Speaker 4>of A and other banks. City and b of A

0:15:00.320 --> 0:15:03.200
<v Speaker 4>were two percent of the US economy each, so you

0:15:03.480 --> 0:15:06.240
<v Speaker 4>bought back to two percent weight, and they went on

0:15:06.280 --> 0:15:11.680
<v Speaker 4>to triple in the next six months. So those stocks

0:15:11.720 --> 0:15:18.040
<v Speaker 4>were bought because waiting companies according to their economic footprint

0:15:18.120 --> 0:15:22.320
<v Speaker 4>means if the price tumbles and the underlying fundamentals don't,

0:15:22.480 --> 0:15:25.280
<v Speaker 4>you're going to top it up. And if the price

0:15:25.320 --> 0:15:27.560
<v Speaker 4>soars and the fundamentals don't, you're going to trim it,

0:15:28.320 --> 0:15:33.440
<v Speaker 4>so you wind up contratrating against the market's most extravagant bets. Well,

0:15:33.480 --> 0:15:36.280
<v Speaker 4>those were big bets in the global financial crisis. And yeah,

0:15:37.360 --> 0:15:41.200
<v Speaker 4>the best of my recollection, that particular index beat the

0:15:41.320 --> 0:15:45.240
<v Speaker 4>S and P by fifteen hundred basis points that year. Well,

0:15:45.320 --> 0:15:47.640
<v Speaker 4>let's bring this back was with a broadly diversified thousand

0:15:47.680 --> 0:15:48.640
<v Speaker 4>stock portfolio.

0:15:49.240 --> 0:15:51.880
<v Speaker 3>So let's bring this back to next because I'm curious

0:15:51.920 --> 0:15:54.800
<v Speaker 3>about you know a thing that we haven't talked about yet, waitings.

0:15:54.920 --> 0:15:58.320
<v Speaker 3>How do you decide what to what waitings to give

0:15:58.600 --> 0:15:59.920
<v Speaker 3>the holdings in the portfolio.

0:16:01.080 --> 0:16:04.080
<v Speaker 4>Well, firstly, we're not going to capitalization weight it because

0:16:04.080 --> 0:16:07.160
<v Speaker 4>that just puts all of your money in the least

0:16:07.240 --> 0:16:12.520
<v Speaker 4>unloved names on the list. And so we equally wait

0:16:12.960 --> 0:16:16.120
<v Speaker 4>the stocks. Basically, any stock that falls out of the

0:16:16.160 --> 0:16:18.800
<v Speaker 4>top five hundred or out of the top thousand in

0:16:18.840 --> 0:16:22.480
<v Speaker 4>the US stock market, roughly corresponding to S and P

0:16:22.600 --> 0:16:25.600
<v Speaker 4>five hundred and Russell one thousand. But stocks that fall

0:16:25.640 --> 0:16:29.200
<v Speaker 4>out of those top tier lists and have done so

0:16:29.320 --> 0:16:32.400
<v Speaker 4>anytime in the last five years become members of the

0:16:32.600 --> 0:16:36.280
<v Speaker 4>next index. And so this consists of all of the

0:16:36.320 --> 0:16:39.480
<v Speaker 4>stocks that have been deleted from top five hundred to

0:16:39.480 --> 0:16:42.600
<v Speaker 4>top one thousand anytime in the last five years. Now,

0:16:42.840 --> 0:16:44.680
<v Speaker 4>how big is that? Un that's a lot of stocks.

0:16:45.400 --> 0:16:47.680
<v Speaker 4>That turns out to be about one hundred and fifty

0:16:47.720 --> 0:16:50.840
<v Speaker 4>to two hundred stocks. We then take out the twenty

0:16:50.880 --> 0:16:55.120
<v Speaker 4>percent worst quality of these stocks, the ones that have

0:16:55.320 --> 0:16:59.960
<v Speaker 4>debt equity ratios or debt coverage ratios that are terrible,

0:17:00.040 --> 0:17:03.320
<v Speaker 4>the ones that don't have any profits at all. So

0:17:03.360 --> 0:17:07.720
<v Speaker 4>the bottom twenty percent are dropped for quality reasons. We

0:17:07.760 --> 0:17:10.800
<v Speaker 4>don't we want cheap stocks, we don't want value traps.

0:17:11.520 --> 0:17:13.960
<v Speaker 4>And the result is that that takes the total list

0:17:14.040 --> 0:17:16.720
<v Speaker 4>down to on average, one hundred and twenty two hundred

0:17:16.760 --> 0:17:19.680
<v Speaker 4>eighty names. Right now, it's got I think one hundred

0:17:19.680 --> 0:17:25.200
<v Speaker 4>and forty seven names equally weight them and no disaster

0:17:25.359 --> 0:17:29.480
<v Speaker 4>stock is going to hurt you too badly. And if

0:17:29.800 --> 0:17:31.840
<v Speaker 4>you have a half dozen or a dozen of them

0:17:31.880 --> 0:17:35.960
<v Speaker 4>that triple, well, that boosts your aggregate return rather nicely.

0:17:37.520 --> 0:17:40.359
<v Speaker 2>Okay, let me ask you a question, why not just

0:17:40.480 --> 0:17:45.439
<v Speaker 2>buy a small cap value ETF. There's a couple ones

0:17:45.440 --> 0:17:49.199
<v Speaker 2>that have taken off recently in that category. What's the

0:17:49.240 --> 0:17:49.920
<v Speaker 2>difference here?

0:17:51.560 --> 0:17:54.440
<v Speaker 4>Well, a couple of things though, small cap value The

0:17:55.520 --> 0:17:58.320
<v Speaker 4>biggest name in small cap value I think is IWN,

0:17:59.600 --> 0:18:04.920
<v Speaker 4>which is the Russell two thousand value ETF by I Shares. Firstly,

0:18:05.000 --> 0:18:10.280
<v Speaker 4>that's capitalization weighted, so most of your money will be

0:18:10.520 --> 0:18:15.960
<v Speaker 4>in the least inexpensive of the small cap value names,

0:18:16.400 --> 0:18:24.080
<v Speaker 4>so the capitalization waiting reduces your opportunity. Secondly, it includes

0:18:24.280 --> 0:18:29.320
<v Speaker 4>all of the Russell two thousand value stocks, including all

0:18:29.320 --> 0:18:31.800
<v Speaker 4>the value traps. We try to filter those out with

0:18:31.840 --> 0:18:36.840
<v Speaker 4>a quality filter. Thirdly, it includes a lot of little

0:18:36.880 --> 0:18:40.560
<v Speaker 4>companies that may or may not turn out to be successful.

0:18:41.200 --> 0:18:46.000
<v Speaker 4>The NIXT index owns companies that were successful that fell

0:18:46.040 --> 0:18:50.719
<v Speaker 4>out of favor. Fallen angels is a perfectly legitimate label

0:18:50.760 --> 0:18:54.359
<v Speaker 4>for it. So these fallen angels, some of them regain

0:18:54.400 --> 0:18:56.480
<v Speaker 4>their footing, and you don't need a lot of them

0:18:56.520 --> 0:18:59.320
<v Speaker 4>to regain their footing for the average return to be brilliant.

0:19:00.640 --> 0:19:03.439
<v Speaker 1>Rob, I'm curious, you've been doing this for a while.

0:19:04.040 --> 0:19:08.639
<v Speaker 3>Research affiliates been around creating indexes and whatnot, But this

0:19:08.720 --> 0:19:12.679
<v Speaker 3>is actually the first time you had an ETF to

0:19:12.760 --> 0:19:17.639
<v Speaker 3>your name, and I'm curious why this one, and what

0:19:17.720 --> 0:19:20.480
<v Speaker 3>have you learned about the industry that you didn't know before.

0:19:21.640 --> 0:19:26.320
<v Speaker 4>Well, a few things. Firstly, we've been associated with lots

0:19:26.359 --> 0:19:29.720
<v Speaker 4>of ETFs. PRF that we were just talking about was

0:19:29.800 --> 0:19:34.320
<v Speaker 4>launched based on our fundamental index concept. PRF was launched

0:19:34.800 --> 0:19:38.280
<v Speaker 4>with power Shares before. It was part of Invesco reaching

0:19:38.320 --> 0:19:40.320
<v Speaker 4>out to us and saying, we love your concept, can

0:19:40.320 --> 0:19:43.159
<v Speaker 4>we launch an ETF. This was a little bit the

0:19:43.240 --> 0:19:47.359
<v Speaker 4>other way around. ETF Architects is a one stop shop

0:19:47.920 --> 0:19:52.400
<v Speaker 4>for turnkey launch of ETFs. We reached out to them

0:19:53.160 --> 0:19:54.960
<v Speaker 4>to say would you like to launch this? And of

0:19:55.000 --> 0:19:59.560
<v Speaker 4>course the difference is with a turnkey platform for launching

0:19:59.600 --> 0:20:04.199
<v Speaker 4>an et most of the revenues come to us, where

0:20:05.800 --> 0:20:08.400
<v Speaker 4>with power Shares most of the revenues would go to them.

0:20:08.480 --> 0:20:13.679
<v Speaker 4>So it's just a different business model. What made it

0:20:14.000 --> 0:20:18.479
<v Speaker 4>our first case where we initiated the launch of an

0:20:18.480 --> 0:20:24.920
<v Speaker 4>ETF strategy was firstly, this is a niche strategy. It's

0:20:24.960 --> 0:20:28.040
<v Speaker 4>a really cool, interesting strategy, but it's not a big

0:20:28.119 --> 0:20:33.600
<v Speaker 4>market strategy that an organization like Invesco or I Shares

0:20:33.680 --> 0:20:39.480
<v Speaker 4>is likely to want to launch. Secondly, the one stop shop,

0:20:39.560 --> 0:20:44.000
<v Speaker 4>the turnkey system for launching ets didn't exist until the

0:20:44.080 --> 0:20:47.080
<v Speaker 4>last few years and so it wasn't an option for us.

0:20:47.119 --> 0:20:52.600
<v Speaker 4>We don't have ETF infrastructure. We don't have a trading desk.

0:20:53.119 --> 0:20:56.240
<v Speaker 4>We specialize in product innovation, which is why our business

0:20:56.240 --> 0:20:58.280
<v Speaker 4>model is to partner with others for distribution.

0:21:06.440 --> 0:21:08.600
<v Speaker 2>Let me ask you something. You're a veteran of the

0:21:08.600 --> 0:21:11.840
<v Speaker 2>ETF space. When I bumped into a couple veterans over

0:21:11.880 --> 0:21:15.600
<v Speaker 2>the past year, and they are getting a little old

0:21:15.640 --> 0:21:21.600
<v Speaker 2>man on launish about all of the new launches, you know,

0:21:21.640 --> 0:21:26.440
<v Speaker 2>the single stock leverage ETFs, the buffer ETFs. It's sort

0:21:26.440 --> 0:21:31.320
<v Speaker 2>of like what happened to my beloved ETF industry. It's

0:21:31.359 --> 0:21:35.720
<v Speaker 2>gone crazy. Are you Are you part of that kind

0:21:35.720 --> 0:21:38.280
<v Speaker 2>of mindset or are you a little more libertarian?

0:21:38.359 --> 0:21:39.359
<v Speaker 1>You know, go crazy?

0:21:39.400 --> 0:21:42.280
<v Speaker 4>You know, I am a libertarian with both in my

0:21:42.400 --> 0:21:46.200
<v Speaker 4>politics and in my approach to business. I love exploring

0:21:46.240 --> 0:21:49.280
<v Speaker 4>new ideas, and if somebody wants to launch a three

0:21:49.520 --> 0:21:54.760
<v Speaker 4>x leveraged in Vidia single stock ETF, more power to them.

0:21:54.800 --> 0:22:00.800
<v Speaker 4>I'm not going to be a buyer, but the marketplace

0:22:00.880 --> 0:22:03.479
<v Speaker 4>sort out the good ideas from the bad. I'm a

0:22:03.720 --> 0:22:07.080
<v Speaker 4>huge proponent of free market.

0:22:08.000 --> 0:22:10.600
<v Speaker 3>Well, I guess that's a pretty interesting way to bring

0:22:10.640 --> 0:22:16.080
<v Speaker 3>it back to next. So when do you decide that

0:22:16.600 --> 0:22:19.880
<v Speaker 3>it's your any of these holdings are no longer worthy.

0:22:19.880 --> 0:22:22.960
<v Speaker 1>Of being in your in your team. It's the exit strategy.

0:22:24.400 --> 0:22:27.480
<v Speaker 4>The exit strategy is very simple. If it's been readded

0:22:27.720 --> 0:22:31.280
<v Speaker 4>to the top five hundred to the top thousand, then

0:22:32.000 --> 0:22:35.679
<v Speaker 4>it's no longer a reject, so it comes out of

0:22:35.720 --> 0:22:40.840
<v Speaker 4>our portfolio. So it's as you said in the opening tagline,

0:22:41.840 --> 0:22:44.920
<v Speaker 4>out with the new and in with the old. So

0:22:48.320 --> 0:22:51.360
<v Speaker 4>the second way you get kicked out of our index

0:22:51.600 --> 0:22:54.920
<v Speaker 4>is after five years, because there's this window of time

0:22:55.320 --> 0:22:59.960
<v Speaker 4>of five years in which you get twenty eight percent

0:23:00.000 --> 0:23:05.120
<v Speaker 4>average incremental return over the next five years. That's five

0:23:05.160 --> 0:23:09.000
<v Speaker 4>percent compounded per annum. It dissipates after the first five years.

0:23:09.040 --> 0:23:11.719
<v Speaker 4>It's still positive, but it's not as interesting.

0:23:11.640 --> 0:23:15.120
<v Speaker 2>On the five years. Is that because once it gets

0:23:15.200 --> 0:23:18.840
<v Speaker 2>kicked out, you need active managers to have some time

0:23:19.440 --> 0:23:21.040
<v Speaker 2>to sort of sort through and go, wait a second,

0:23:21.480 --> 0:23:23.920
<v Speaker 2>this is undervalue. But if it lasts five years as

0:23:23.960 --> 0:23:25.639
<v Speaker 2>a dog, it's just bad.

0:23:27.119 --> 0:23:30.320
<v Speaker 4>I think there's truth in that. Although a beautiful counter example.

0:23:31.440 --> 0:23:35.000
<v Speaker 4>Dillard's is a small department store that I believe has

0:23:35.040 --> 0:23:38.840
<v Speaker 4>been in the Russell one thousand, four separate times in

0:23:38.880 --> 0:23:41.560
<v Speaker 4>the last thirty years. It's been kicked out four times

0:23:41.920 --> 0:23:44.000
<v Speaker 4>the last time it was kicked out was two thousand

0:23:44.000 --> 0:23:44.320
<v Speaker 4>and seven.

0:23:45.160 --> 0:23:48.160
<v Speaker 2>That is a great We do trivia shows on here.

0:23:49.200 --> 0:23:52.960
<v Speaker 2>That is a killer Jeopardy one thousand level question right there.

0:23:53.560 --> 0:23:54.240
<v Speaker 1>Four times.

0:23:54.320 --> 0:23:58.840
<v Speaker 4>Huh yeah, And the last time was twenty seventeen, and

0:23:58.920 --> 0:24:01.440
<v Speaker 4>it's up something like five hundred and fifty percent since then.

0:24:01.520 --> 0:24:03.119
<v Speaker 4>Most of that was in the first five years that

0:24:04.200 --> 0:24:08.439
<v Speaker 4>I'm guessing that next year they'll probably be readmitted for

0:24:08.480 --> 0:24:16.280
<v Speaker 4>a fifth time. So if index funds buy high and

0:24:16.320 --> 0:24:20.720
<v Speaker 4>sell low, buy high multiple stocks when they're added, sell

0:24:20.760 --> 0:24:23.679
<v Speaker 4>low multiple stocks when they're kicked out. We try to

0:24:23.680 --> 0:24:26.520
<v Speaker 4>buy low and sell high by buying deeply out of

0:24:26.560 --> 0:24:29.080
<v Speaker 4>favor and selling when they come back into favor. Now

0:24:29.080 --> 0:24:31.320
<v Speaker 4>some of them, roughly half of them never do come

0:24:31.359 --> 0:24:35.880
<v Speaker 4>back into favor. But if the ones that underperform underperform modestly,

0:24:35.920 --> 0:24:38.439
<v Speaker 4>and the ones that outperform underperformed by a big margin,

0:24:38.720 --> 0:24:41.399
<v Speaker 4>you've got a winning strategy. So I think it's a

0:24:41.440 --> 0:24:43.919
<v Speaker 4>lot of fun. I think it's a cool idea. I

0:24:43.960 --> 0:24:48.280
<v Speaker 4>think it's also a way to complete your market portfolio.

0:24:48.359 --> 0:24:49.359
<v Speaker 1>If you own.

0:24:50.960 --> 0:24:53.159
<v Speaker 4>Russell one thousand or s and P five hundred, you

0:24:53.160 --> 0:24:55.399
<v Speaker 4>don't own the stocks that aren't in the index. This

0:24:55.520 --> 0:24:57.679
<v Speaker 4>is a way of cherry picking out of that roster

0:24:58.119 --> 0:25:02.080
<v Speaker 4>companies that were once successful, that are dirt cheap and

0:25:02.119 --> 0:25:07.639
<v Speaker 4>that have in many cases better chances than the market

0:25:07.680 --> 0:25:12.119
<v Speaker 4>thinks of bouncing back. And that creates a completion strategy

0:25:12.160 --> 0:25:14.600
<v Speaker 4>that can fill out your portfolio nicely.

0:25:14.720 --> 0:25:17.960
<v Speaker 3>Now I'm actually I am curious about that bottom twenty

0:25:18.000 --> 0:25:21.080
<v Speaker 3>percent that you that you mentioned earlier, that screening mechanism.

0:25:21.320 --> 0:25:23.640
<v Speaker 3>Is that just a one time thing or is it

0:25:24.280 --> 0:25:30.680
<v Speaker 3>every single time that the that the index rebalances.

0:25:29.640 --> 0:25:31.919
<v Speaker 4>Just every rebalance, so it's.

0:25:31.800 --> 0:25:35.560
<v Speaker 1>In constant constant flux. Basically what's in the portfolio?

0:25:35.840 --> 0:25:38.919
<v Speaker 4>Right? So that that gets back to the earlier question,

0:25:39.000 --> 0:25:42.119
<v Speaker 4>what gets you kicked out of this index? If your

0:25:42.200 --> 0:25:47.760
<v Speaker 4>quality tumbles below that threshold, you're out. If you've been

0:25:47.800 --> 0:25:51.600
<v Speaker 4>in for five years, you're out. If you are readmitted

0:25:51.640 --> 0:25:54.640
<v Speaker 4>to the top five hundred or the top thousand, y're out.

0:25:54.840 --> 0:25:56.879
<v Speaker 4>So the goal is to have rejects that have a

0:25:56.920 --> 0:25:58.520
<v Speaker 4>good chance of a rebound.

0:25:58.720 --> 0:25:59.359
<v Speaker 1>Rob real quick.

0:25:59.359 --> 0:26:01.560
<v Speaker 2>I have to squeez in this sort of ETF NERD question.

0:26:02.160 --> 0:26:05.080
<v Speaker 2>Earlier on you said, well, smart beta is you know

0:26:05.600 --> 0:26:11.439
<v Speaker 2>indexes or ETFs that look for value basically. Now, smart

0:26:11.480 --> 0:26:16.040
<v Speaker 2>beta has morphed into many categories qualities side sure is

0:26:16.320 --> 0:26:20.320
<v Speaker 2>you could you consider growth or momentum to be a

0:26:20.359 --> 0:26:21.360
<v Speaker 2>smart beta ETF.

0:26:23.680 --> 0:26:28.840
<v Speaker 4>I don't, but keep in mind fundamental index was the

0:26:28.880 --> 0:26:32.800
<v Speaker 4>strategy that prompted Towers Watson to coin the expression smart

0:26:32.800 --> 0:26:35.760
<v Speaker 4>beta in the first place, and they coined it based

0:26:35.760 --> 0:26:39.679
<v Speaker 4>on this is an idea for how to capture beta

0:26:39.720 --> 0:26:43.320
<v Speaker 4>exposure to the market that's smart, that has a rebalancing

0:26:43.400 --> 0:26:48.840
<v Speaker 4>component for that beautiful two thousand and nine rebalance. So

0:26:49.119 --> 0:26:52.200
<v Speaker 4>they then went and looked for other strategies that do

0:26:52.240 --> 0:26:55.040
<v Speaker 4>the same thing, that break the link with price equal weighting.

0:26:55.520 --> 0:26:58.000
<v Speaker 4>As simple as it is, is smart beta. Well, the

0:26:58.119 --> 0:27:00.800
<v Speaker 4>term got taken over by the industry and attached to

0:27:00.960 --> 0:27:05.520
<v Speaker 4>everything under the sun, including ideas that were really smart

0:27:05.560 --> 0:27:11.040
<v Speaker 4>and ideas that were really stupid. And so there's some

0:27:11.240 --> 0:27:15.359
<v Speaker 4>very stupid smart beta strategies out there. I'd put a

0:27:15.520 --> 0:27:19.400
<v Speaker 4>momentum in the not smart beta category. I wouldn't call

0:27:19.440 --> 0:27:24.120
<v Speaker 4>it stupid, but it certainly doesn't contratrate against stocks that

0:27:24.200 --> 0:27:26.680
<v Speaker 4>are falling out of favor. It gets you out of them,

0:27:27.359 --> 0:27:30.159
<v Speaker 4>and so it winds up doing the opposite of what

0:27:30.240 --> 0:27:37.439
<v Speaker 4>the original term smart beta meant growth. Likewise, quality always

0:27:37.480 --> 0:27:41.800
<v Speaker 4>trades at a premium, so quality could be smart beta

0:27:41.840 --> 0:27:44.960
<v Speaker 4>depending how it's implemented. Most of the time it's implemented

0:27:45.000 --> 0:27:48.680
<v Speaker 4>cap weighted, which by definition isn't smart beta. So I'm

0:27:48.760 --> 0:27:53.280
<v Speaker 4>just describing the much narrower definition of smart beta that

0:27:53.600 --> 0:27:57.119
<v Speaker 4>used to exist. The term as it exists now doesn't

0:27:57.160 --> 0:27:57.840
<v Speaker 4>mean anything.

0:27:58.400 --> 0:28:00.800
<v Speaker 2>Yeah, it's a big tent at this point. But Joel

0:28:00.920 --> 0:28:03.439
<v Speaker 2>Quick anecdote, I remember when smart beta was all the

0:28:03.480 --> 0:28:05.359
<v Speaker 2>debate at all the conferences. It must have been like

0:28:05.560 --> 0:28:07.600
<v Speaker 2>ten years ago, twelve years ago. Is at a conference

0:28:07.720 --> 0:28:10.720
<v Speaker 2>and this advisor was like smart beta. So let me

0:28:10.760 --> 0:28:13.480
<v Speaker 2>get this straight. If I buy a smart beta ETF

0:28:13.720 --> 0:28:15.639
<v Speaker 2>and then short beta, am I long smart?

0:28:17.680 --> 0:28:20.479
<v Speaker 4>Oh? I love it. That's great.

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<v Speaker 3>I think, I think crowd think you are okay, rob

0:28:24.080 --> 0:28:28.200
<v Speaker 3>final question, what is your favorite ETF ticker other than

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<v Speaker 3>your own or any that you're affiliated with.

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<v Speaker 4>Oh gosh. Perth Toll is one of my favorite people

0:28:38.400 --> 0:28:41.360
<v Speaker 4>in the ETF world. She came up with an idea

0:28:41.520 --> 0:28:47.320
<v Speaker 4>of investing in emerging markets waited by how free their

0:28:47.360 --> 0:28:56.000
<v Speaker 4>economy is, how free their society is, and zeroing out autocracies.

0:28:56.640 --> 0:28:59.160
<v Speaker 4>And I love the ideas. So I was actually a

0:28:59.200 --> 0:29:03.680
<v Speaker 4>seed investor UH when she launched the fund. UH ticker

0:29:03.880 --> 0:29:07.520
<v Speaker 4>FRDM Freedom. It's great, well, very cool ticker.

0:29:07.520 --> 0:29:09.200
<v Speaker 3>We should check back in with. It's been a while

0:29:09.200 --> 0:29:11.720
<v Speaker 3>since we spoke with her, Robert or not. Thanks so

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<v Speaker 3>much for joining us on Trillions.

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<v Speaker 4>Thanks for the invitation. This has been great fun as always.

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<v Speaker 5>Thanks for listening to Trillions until next time. You can

0:29:25.160 --> 0:29:30.040
<v Speaker 5>find us on the Bloomberg Terminal, Bloomberg dot com, Apple Podcasts, Spotify,

0:29:30.640 --> 0:29:33.080
<v Speaker 5>or wherever else you'd like to listen. We'd love to

0:29:33.120 --> 0:29:36.480
<v Speaker 5>hear from you. We're on Twitter, I'm at Joel Webbers Show.

0:29:36.880 --> 0:29:41.520
<v Speaker 5>He's at Eric Balchunis. This episode of Trillions was produced

0:29:41.520 --> 0:29:42.560
<v Speaker 5>by Magnus Hendrickson.

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<v Speaker 1>Bye