In short
What causes stock market “anomalies” (excess volatility, momentum, fat tails, booms/busts) and how investor behavior—especially extrapolative return-chasing and static rebalancing—interacts with fundamentals.
Guest
Victor Haghani (Elm Wealth founder; US wealth advisory; 40+ years studying/working in financial markets).
Key claims
(1) Markets show anomalies because extrapolative investors (“return chasers”) adjust equity exposure gradually based on recent returns, overwhelming stabilizing value investors. (2) Static investors with fixed strategic allocations amplify demand shocks: e.g., if companies buy back 10% of equity and only static 50/50 investors exist, prices must rise ~20% to restore target weights. (3) “Momentum” differs from “return chasing”: momentum is binary/defined; return chasing is gradual and can create self-reinforcing over/underweighting. (4) None of the three investor types (value, static, extrapolators) delivers great long-run performance.
Notable examples
US performance driven largely by valuation/risk-premium compression; momentum can be supported by vol-targeting correlations; Japan’s late-1980s equity issuance as a boundary case when equity becomes “cheap” vs debt. Also discusses direct index tax-loss harvesting vs leveraged long/short variants and a “front page ahead of time” trading experiment where sizing errors prevent outperformance.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOMarket Behavior Insights
0:00 to 0:23
Learn how investor behavior shapes market dynamics and volatility.
“Understanding these extrapolators and how much they can affect behavior creates a lot more humility in terms of what the markets can and might do.”
Insights from 'Missing Billionaires'
1:16 to 3:10
Exploration of gaps in financial literature and the success of their latest book.
“Victor Higani, welcome back to the Rational Reminder podcast.”
Persistent Stock Market Puzzles
3:10 to 4:59
Discussion on stock return anomalies and historical contributions to financial theory.
“You mentioned you didn't come up with the ideas in the book, but it's pretty rare.”
Investor Types and Market Dynamics
4:59 to 8:06
Examining how different types of investors impact market volatility and anomalies.
“And how do the types of investors that participate in the market interact with the observed anomalies?”
Static Investors and Demand Shocks
8:06 to 10:00
Understanding how static investors exacerbate demand shocks in the market.
“Just take a simple example that we can follow with words without a blackboard or anything.”
Investor Behavior Models
10:00 to 12:19
Insights into the behaviors and performance of different investor types.
“But that shows you how the numbers work, and it's really simple like that.”
Wealth Flow Impact on Investors
12:19 to 14:01
Exploration of how wealth changes among investor types affect market behavior.
“stock market performance, a number of observers have pointed out that this tremendous U.S.”
Investor Types and Market Behavior
14:01 to 18:00
Explore how different investor types impact market behavior and noise trading.
“create a much higher sharp ratio and much better returns.”
Momentum vs. Return Chasing
18:00 to 21:39
Understand the distinction between momentum investing and return chasing behaviors.
“So there's something else, I think, that's at work here.”
Volatility and Momentum Strategies
21:40 to 26:38
Learn how volatility affects momentum strategies and investor behaviors.
“And so momentum also happens to be correlated with the strategy of vol targeting.”
Show all 27 chapters
Combining Value and Momentum
26:38 to 28:00
Discover the benefits of combining value investing with momentum strategies.
“And it's really interesting how that ties into momentum and the persistence of momentum because people are changing their asset allocations as risk and expected return evolve.”
Making Financial Models More Accessible
28:00 to 29:17
Learn how new models simplify understanding stock market behavior.
“And there's all kinds of contributions here.”
Impact of Extrapolators on Market Behavior
29:17 to 31:24
Discover how extrapolators influence market trends and asset allocation.
“How else did thinking through and writing down this model affect your views on asset allocation?”
Understanding Equity Issuance Dynamics
31:24 to 34:18
Explore the conditions under which companies issue equities and its implications.
“Another thing that we kind of tried to play around with in the model is there is some time when there's probably some time when you can get a lot of supply of equities.”
Leverage Long-Short Tax Loss Harvesting Explained
34:18 to 36:21
Learn about innovative strategies for tax loss harvesting with leverage.
“But it's still tax loss harvesting with individual stocks.”
Skepticism Around Alpha Generation
36:21 to 38:38
Understand the challenges and skepticism surrounding alpha generation in investing.
“Well, the conclusion that we came to in our research was that if you don't believe that the long shorts are going to generate alpha, we don't really think is worth doing.”
Challenges of Direct Index Tax Loss Harvesting
38:38 to 42:00
Delve into the complexities and concerns of direct index tax loss harvesting.
“And you might say, well, I thought there was a little bit of alpha, but not enough to overcome the fees.”
Tax Loss Harvesting and Performance Anxiety
42:00 to 43:09
Discuss the emotional impacts of underperforming in tax loss harvesting strategies.
“If you're underperforming, you're going to be like, oh, this is terrible.”
Market Hypotheses on Trading Behavior
43:10 to 44:08
Explore hypotheses about how tax loss harvesting might affect asset pricing.
“And so you're giving up whatever tax benefit there might be to asset pricing when you trade.”
The Wall Street Journal Trading Experiment
44:09 to 46:24
Learn about an experiment testing investment performance using the Wall Street Journal's front page.
“A lot of those days are employment days and Fed announcement days.”
AI Performance in Trading Scenarios
46:25 to 48:20
Examine how AI performs against human traders in a historical trading experiment.
“I think if you gave the front page a day ahead of time to a bunch of macro traders, they would make good money over time.”
The Role of News in Investing
48:21 to 49:44
Discuss how much attention investors should pay to financial news.
“in terms of human experience, in terms of our life as humans.”
Analyzing Leverage in the Stock Market
49:45 to 52:16
Investigate the current state of leverage in the U.S. stock market and its implications.
“Leverage is something that we built into our model for our who killed the random walk paper, and then we didn't wind up using it at all.”
Leverage and Its Impact on Investment Strategies
52:17 to 56:00
Explore when it makes sense to use leverage in investing and the associated risks.
“leveraged ETFs because we've had some discussion within our podcast community about how from the investor's perspective, daily resets are actually not a terrible thing, even for a long-term investor.”
Understanding Leverage and Risk in Investing
56:00 to 58:25
Learn about the implications of leveraging investments and the associated risks.
“You know, you don't get a chance to make a margin call, you know, to top up or to do it yourself.”
Financial Wisdom for Younger Generations
58:25 to 1:02:05
Discover financial strategies and reflections on personal finance for young individuals.
“It can never go the other way because risk is always a cost.”
The Impact of Financial Education
1:02:05 to 1:03:00
Explore the importance of financial education and its transformative effects.
“You said you were embarrassed to reference your own book as the resource.”
Transcript
Automatic transcript. May contain errors.0:00Rational Reminder Hosts:Understanding these extrapolators and how much they can affect behavior creates a lot more humility in terms of what the markets can and might do. It's this more gradual thing. Momentum is a binary. With return chasing, it's this more gradual thing. I think as an investor, you just don't need to be following the news very much at all.
0:23Victor Haghani:Welcome to episode 429 of the Rational Reminder podcast. I'm Ben Felix, Chief Investment Officer at PWL Capital. And I'm Cameron Passmore, Chief Executive Officer of PWL Capital. And today, Ben, we're joined by Victor Hagani, who previously appeared in Episode 270. Victor is the founder of Elm Wealth, which is a wealth advisory firm in the US. And he has over 40 years experience studying financial markets. Studying and working in them. And he's got real practical experience too. In the episode, we discuss how different types of investors impact the market, when leverage does or does not make sense, and what financial advice Victor would give his younger self.
1:05Victor Haghani:And of course, we'll talk about our thoughts of the conversation at the end, but for now, let's get to the episode with Victor.
1:16Rational Reminder Hosts:Victor Higani, welcome back to the Rational Reminder podcast. Thank you. Great to be here for a second time. I'm honored.
1:23Victor Haghani:we're excited to have you back and we have a lot to talk about you've been busy writing about stuff since the last time yes just a little bit so victor since the last time you're on when we talked about your at the time new book missing billionaires what have you learned since then
1:39Rational Reminder Hosts:in some ways the thing that we learned is that there was you know a gap in the literature for this kind of book with this kind of treatment our publisher god bless them we're like you guys have way too many equations in there. You're not going to sell any books. And we're like, well, they're not hard equations. People will get them. And we've really been so pleasantly surprised by the fact that a lot of people have been interested in the book. When you write about something where people have a little bit of a blank area in their minds, talking about sizing and Kelly and the Merton share and all this, it's much easier to convince people because you're not changing anybody's mind.
2:16Rational Reminder Hosts:You're just sharing with them things that they might not have known. And to be clear, we didn't come up with anything original in The Missing Billionaires. We were just channeling a lot of great research of other people. So yeah, it's been satisfying for us. Another thing that we learned is that a lot of people said to us, we love this kind of treatment and this kind of discussion at this level. And I wish that you would write something for my kids, you know, or for my nieces or nephews or my young friends or whatever that's shorter, that doesn't go into as much depth on sizing and is a more broader thing.
2:52Rational Reminder Hosts:So, you know, as we talked about before, we wrote a book over the summer that's coming out in early 2027 called Get Rich Once and Other Financial Wisdom for Our Younger Selves. It's going to be available on Amazon for pre-order. So we could talk about that later, but just a quick plug there.
3:08Victor Haghani:Yeah, I know that that's exciting. We will bring that back up later. You mentioned you didn't come up with the ideas in the book, but it's pretty rare. I don't know if I can say that you were the first, but certainly one of the first to communicate those ideas, which can be pretty mathy and pretty technical in a way that's pretty practically accessible to a broad audience. That's what you guys really brought to the table with that book. Thank you. Yeah, that's really great to hear that. I said you've been busy. You've got a paper coming out shortly in the Journal of Investment Management, Who Killed the Random Walk?
3:39Victor Haghani:So I want to ask a little bit about that. Can you talk about what some of the most persistent puzzles in stock returns are?
3:45Rational Reminder Hosts:Every class in asset pricing theory really starts off with all the things that asset pricing theory really has a tough time explaining. I think the biggest of all of the strange things about the stock market is this idea that there's excess volatility, that stocks bounce around by much more than fundamentals would seem to dictate. And this goes back to Campbell and Schiller in the 80s. And as one of the big contributions of Schiller that probably led to his Nobel Prize is this idea that stocks are so much more volatile than changes in expected earnings. But there are all these other things, too, out there.
4:24Rational Reminder Hosts:there's persistent price level momentum in stocks. There's very stochastic volatility, but that it also persists. There's fat tails, there's booms and busts. All of these anomalies, really each one of them, you could kind of come up with some explanation, maybe a rational expectations type of explanation, or that there's some dark matter that's doing something. It's not that these haven't been explained, but we got attracted to trying to put together an explanation that would be comprehensive and touch on all of these. As with the missing billionaires, it's not like we came up with anything original, but I think that maybe we took the existing research, took it one step further and also maybe posited in a way that's much easier for a broader audience to understand versus some of the more technical academic treatments that we've had.
5:18Rational Reminder Hosts:And how do the types of investors that participate in the market interact with the observed anomalies? historically the idea has been that we have this rational investor that's always looking at the long-term expected return or some expected return of what they're investing in based on cash flow some kind of a value investor representative agent and if that's what we had if that's actually how investors were then we just wouldn't see any of these anomalies in fact instead of seeing stock market volatility higher than fundamentals, we would actually see these fundamental value investors dampening volatility because when the market would go down and expected returns would be higher, they would want to own a little bit more than what they owned because now what they owned was worth less because prices had gone down.
6:13Rational Reminder Hosts:So they would be dampening volatility a little bit. But instead, we actually see volatility exacerbated by different investor types. So in the simplest form of our model, we have three investor types. We start off with this valuation, value-based fundamental investor, which we know are out there, Warren Buffett having been one of them. But then we add two other types that are very prevalent in the marketplace. One of them, there can be no doubt of whatsoever. It's a static investor. We know that so many investors out there have a static strategic asset allocation, maybe 60 % equities, 40 % fixed income or 70-30 or endowments have these pretty strategic asset allocations.
6:57Rational Reminder Hosts:Over time, they're just rebalancing back to those more or less. They will move somewhat over time, but not much. So we can think of them as static. and their behavior exacerbates any exogenous changes in supply and demand that take place. But then really the critical key investor type that we believe is generating so much of the perceived market anomalies is the extrapolative investor, the return chaser, the investor who comes up with their expected return for the market based on what the market has done recently. We call them extrapolators and we say they make their asset allocation decisions based on recent returns, not just using recent returns exactly as they've been with some squeezing, with some rational use of that historical return.
7:48Rational Reminder Hosts:But when historical returns are higher, they want to own more equities. And when historical returns are lower, they want to own less equities. And those guys combined with the static guys just overwhelm this fundamental investor and give us so many of the behavioral things that we see in the marketplace.
8:05Victor Haghani:Can you go into a little bit more detail about why static investors are exacerbating the demand shocks?
8:13Rational Reminder Hosts:Just take a simple example that we can follow with words without a blackboard or anything. Imagine that the marketplace is only made up of static investors that want to be 50 % in stocks and 50 % in fixed income. So that's where they are. And then some companies turn up and they're like, we need to buy back our stock because that's what we want to do with our excess cash flow. We're going to buy back our stock. They decide, just let's keep the numbers as simple as possible, even though they're a little bit unrealistic. Let's say that companies want to buy back 10 % of all outstanding equities.
8:49Rational Reminder Hosts:We know that the only place they can buy them from is the static investors because that's our only investor class. So they have$50. The static investors have$50 of stocks. They have to sell$5 of stocks to the companies buying back their stock that are buying back 10 % of the whole marketplace. So now they're left with what? They're left with, if market prices don't move, they have$45 of stock and$55 of cash or fixed income. What has to happen is that their$45 of stock has to become worth$55 because they want to be 50-50. So the only way that can happen, they can't trade with each other. That doesn't help anything.
9:32Rational Reminder Hosts:The only way that that could happen is the price of the stock market has to go up, not by 10%, but by 20%. Because we have to go from 45 to 55, which is$10 on 45, call it 20%. If companies are buying back 1 % of their stock, stock prices are going to have to go up 2 % if the only investors are these static weight, strategic investors, and if they're a 50-50 weight. If their asset allocation were 60-40 or 40-60 or whatever, it would be a little bit different. But that shows you how the numbers work, and it's really simple like that.
10:08Victor Haghani:Yeah, we've heard a lot about that, the inelastic demand from investors over the last couple of years as we've explored the effect of index funds on financial markets. And I guess they'd be a good example of that static investor.
10:18Rational Reminder Hosts:Yes, yes. We talk about the Gabay and Koijin paper in our article. They came at it a different way. I mean, many different practitioners and observers think about what this elasticity is. Our number is lower than the Gabay-Koijin one. It's like half of that or so. So we think that 1 % might cause a 1 % move in the market, exogenous change in demand. They're two or three times bigger. But one of the most interesting things from their research was when they sent out a survey question to, I don't know, like 50 or 100 economists. And they said, imagine that there's some investor that needs to buy 10 basis points worth of stocks.
10:57Rational Reminder Hosts:How much will that move stock prices. And the vast majority of financial economists said zero, that the marketplace is like perfectly elastic. And I just thought that was so telling and interesting, you know, in terms of where we've been and how things are changing in terms of our understanding of stock market behavior.
11:16Victor Haghani:Yeah, that's really interesting. In the basic form of the model, you mentioned that there are three investor types. We have a value investor, the static investor, and the performance chasing investor. Can you talk about the effect that each investor type has on the market?
11:30Rational Reminder Hosts:As we said already, the value investor is kind of stabilizing things a little bit, but the extrapolator is pushing the other way. The market goes up, they want to own more equities, and this is making it more difficult to reach an equilibrium. The extrapolators are creating momentum in the price series. They're also creating this excess volatility. So when you have a fundamental positive shock, like earnings are going to be higher, everybody wants to buy more stocks. The fundamental guys do, the static guys do, because they want to get back to their whatever 50-50 weight. And the extrapolators do because the market's gone up, and so they have a higher expected return.
12:09Rational Reminder Hosts:So they're the primary cause of these behaviors that we're seeing. And it's really these exogenous shocks eventually can cause things to turn around. But it's a pretty fine balance. When we look at U.S. stock market performance, a number of observers have pointed out that this tremendous U.S. stock market performance over the last three decades has primarily been driven by compression in valuation. I mean, a lower earnings yield, a higher P.E. rather than the earnings growth. I mean, earnings growth of U.S. stocks versus non-U.S. stocks has been faster, but also you have to take away the effect of buybacks in making that earnings growth look faster than it really is.
12:54Rational Reminder Hosts:But earnings growth has been good, but really it's this compression and the risk premium that's given us a very large part of this tremendous performance we've had over the last 30 years in U.S. stocks.
13:06Victor Haghani:Of the three investor types, which one performs the best? none of them do great the static investor just kind of gets the return of the market
13:18Rational Reminder Hosts:over the long term and it's kind of okay the extrapolator kind of does poorly because ultimately it all catches up with them they're not following a super rational strategy but the value investor does a little bit better than the static investor but not hugely because they just have to suffer through these really long periods where the expected risk premium is low, but the market's going up, up, up. None of those investor types do great. But there are some investment strategies that do better, which we can get to. But it's surprising in one way that the value investors don't do great. But we kind of know that also from history, too.
13:58Rational Reminder Hosts:We know that getting really underweight equities when the risk premium is low is a difficult position to take and doesn't create a much higher sharp ratio and much better returns. It's better in the long run, but it's not as much better as you might imagine, as I might imagine.
14:17Victor Haghani:And what's the impact of wealth moving between the investor types over time?
14:21Rational Reminder Hosts:We've modeled these kind of exogenous shocks where each investor type is getting some extra cash or needs to spend some cash, generating this noise trading, this idea that, oh, you know, somebody needs to buy a house or somebody needs to pay for college or somebody got a big bonus and was investing it in the market. So we've tried to model pretty heavy flows and not the same flows between the different types of investor to get some of that noise. It does, I think, what you'd expect when the extrapolators are getting more capital, either because of some exogenous cash flow shocks or because they're just doing so well because they're riding a good trend.
15:01Rational Reminder Hosts:And then the market behavior that we see from them gets more exaggerated. One of the challenges in building our model was that, you know, in early versions of it, things would just blow up. All of a sudden, the price would just go to infinity because the extrapolators got all the money and there was nobody that they could trade with. So there was like no price. But as we made it more realistic, we found that the simulations that we were running behaved much better as well. But it is a fine balance.
15:31Victor Haghani:Really, really interesting. Can you talk a little bit about momentum and extrapolation and how those two things are not the same?
15:40Rational Reminder Hosts:I love this topic. 12 years ago, you know, I was at a conference where Rob Arnott was speaking to an audience and he said, you know, the number one thing that people do to shoot themselves in the foot is to be return chasers. This is the number one behavioral foible of investors. And right around that time, you know, I had been reading the research on time series momentum. And I was thinking to myself, how amazing that at the same time as Rob is saying this, which I agree with, at the same time, you know, other researchers were saying the most salient anomaly, the single best thing you could have done as an investor historically, is to be a momentum investor.
16:23Rational Reminder Hosts:that momentum has been everywhere and at all times. Time series momentum in particular is what I'm talking about here as opposed to cross-sectional. So right around that time, you know, there were all these papers coming out or a number of papers looking at long-term time series momentum and how prevalent it was everywhere and everything, every commodity, you know, every equity, et cetera. And I was like, why these things sound exactly the same? How could it be that one of them is the worst thing and the other one is the best thing? What I realized is that, first of all, you know, momentum has a fully agreed upon definition.
16:58Rational Reminder Hosts:When we talk about momentum, more or less, we're all talking about the same thing. If you measure momentum slightly differently as a one-year moving average or as a one-year look back or as a six-month look back or whatever, you get the same kind of results. But return chasing is a little bit more like when we see it, we know it. There is not a definition of return chasing. What is this return chasing behavior? A number of observers have put forward ideas about why return chasing hurts and momentum helps. Cliff Asnes has one of the more remarked, repeated ideas of what return chasing is. He says return chasing is momentum investing, but with a five-year look back.
17:36Rational Reminder Hosts:I don't know how that stacks up in cross-sectional momentum, and maybe that's where Cliff is referring to it as being an explanation, so I can't speak there. But in time series momentum, that's not really a good explanation. We don't really see somebody following a five-year lookback with a binary momentum strategy as really being the worst thing that they could do. It's not a good thing. It's not helping them, but it's not crushing them. So there's something else, I think, that's at work here. The way that we define return chasing or what we see as return chasing is the way we've modeled it in the paper and the way we've talked about it in previous papers, because we've been writing about this for maybe almost eight or 10 years, is that it's this more gradual thing that momentum is a binary.
18:21Rational Reminder Hosts:You know, it's either you're overweight or you're underweight. It's binary. As soon as momentum flips one way or the other, you do that. With return chasing, it's this more gradual thing. So when we model it in this research that we've done, right, you're looking at historical returns and the more and the better historical returns are, the more you want to own of equities. So as the market's going up, historical returns are getting better. You're getting more and more and more overweight equities. And then now the market starts to go down and returns start to look not as good and worse and worse and worse.
18:52Rational Reminder Hosts:And now you're like unloading. It's that behavior, which is different from the momentum trading that basically results in the return chasers doing poorly and the momentum guys doing well. But I have to caveat this really importantly, that it really depends on the relative size of these guys. Because if the return chasers are just a few guys doing that, and everybody else has their money in these momentum strategies, well, then we don't get that anymore, because everybody's having impact in this framework. And in the real world, we think there's a lot of impact from people trading large size. It's this behavior that I've described.
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19:30Rational Reminder Hosts:And also, it's the fact or what we think is the fact that the return chasing behavior is operating on a lot more capital than the momentum strategy than time series momentum is in general. The beautiful thing about time series momentum, in terms of why I think it generally doesn't get too big, is because it just seems ridiculous. I thought the thing was we're supposed to buy low and sell high, and this strategy is sell low and buy high. That when time series momentum is working, people are like, oh, this is great, I love it. But as soon as it stops working, as soon as you go through one or two years where time series momentum doesn't work, people are saying, I knew this was the stupidest thing ever.
20:15Rational Reminder Hosts:Of course, it would never work. And they pull their money out. Now, I think people's attitudes are changing over that. Probably there's been so much research and talk. I think people are sticking with it maybe longer than before. But I think it just has a bit of trouble in attracting large amounts of capital for the long term because it's just something that people like as long as it works. And when it doesn't work, they flee. And that has that impact. But I don't know. At some point, this time series momentum could just be the dominant force and then everything would be different.
20:48Victor Haghani:The performance chasers, the extrapolators, are they creating the momentum factor?
20:53Rational Reminder Hosts:Yes, they'd be creating. It's their impact that's creating that evolution of prices that allows the momentum guys to make money.
21:01Victor Haghani:So they're cumulatively buying more and more of the asset class, pushing its price up and up. And the momentum folks are seeing that signal with their more defined lookback period. And they're buying the thing that's going up.
21:12Rational Reminder Hosts:And they're getting ahead of it. You could think of them as like front running that trend on average. It relies on the momentum guys not having too much impact.
21:21Victor Haghani:So that works until it doesn't, which sucks. People get whipsawed and they lose a bunch of money in momentum and then they bail on momentum. And the fact that that happens, it's almost like a bit of a risk premium story. Not different, but people get blown out of momentum and that's why that it has continued to work. Is that the right mechanism?
21:38Rational Reminder Hosts:I think that's one explanation. There's another explanation too, which is worth discussing, which is that when we talk about risk assets, when we talk about equities and things that are like equities, risk assets, The other thing that we know is that volatility tends to be skewed, that we have high vol when the market goes down and low vol when the market is going up and when it's grinding higher. And so momentum also happens to be correlated with the strategy of vol targeting. If you're doing vol targeting where you reduce exposure when the market becomes more volatile and you increase exposure when the market is calmer, then you're also following a bit of a momentum strategy.
22:24Rational Reminder Hosts:Not a bit. You're highly correlated with somebody who's following a momentum strategy. that vol targeting in our opinion is a very rational logical thing to do it goes back to the merton share it goes back to normal scaling logic of the higher my sharp ratio the more exposure i want which means the higher the expected risk premium i want more and the higher the risk i want less and so vol targeting to the extent that momentum is rhyming with vol targeting I think it kind of makes sense that it also is working and that it's helping to generate better risk adjusted returns for investors. If you're following momentum with risk assets like equities, like oil, like REITs.
23:07Rational Reminder Hosts:So there's that also, which I think is really, really important as well. We wrote an article a while ago where some investment bank was saying, you know, what you really should do is when VIX goes above 30 percent, when volatility is above 30, you should really load up on equities. which is the opposite of vol targeting. And we kind of showed just through the simple back test of how the strategy would have done, that doesn't generate a higher sharp ratio. And we also talked about that logic as well. So maybe for somebody who's thinking, oh, when the market goes down and vol goes up, I want to buy.
23:40Rational Reminder Hosts:Well, when the market goes down and vol goes up, you want to sell. When the market goes down and expected returns are higher, you want to buy. And so you have these two competing factors and it kind of depends on how much of one versus the other has happened. So it's better to separate those things than to simply say, when vol goes up, I want to buy. It's more like vol goes up, you should reduce and expected returns go up, you should want to increase.
24:05Victor Haghani:Maybe just for the benefit of listeners who didn't listen to your last episode or have not heard us talk about the Merton share, can you talk about the Merton share logic behind the statement that you just said.
24:13Rational Reminder Hosts:So Bob Merton and Paul Samuelson attacked the lifetime consumption and portfolio choice problem in the late 60s. They came up with this solution where under a very stringent and unrealistic set of assumptions in terms of how risk assets behave and all that, but it gives us a good rule of thumb. The amount of exposure you should want to have to risky assets in your portfolio is proportional to the expected risk premium that those risky assets are giving you. You have to have an expected return and know what the safe asset is offering, divided by the risk of those risky assets where you're measuring risk as variance.
24:57Rational Reminder Hosts:Also, you would scale that based upon your own personal degree of risk aversion. So there's a constant in there that's like your personal constant that you would divide by your degree of risk aversion. And that Merton share, as we call it, that also is actually the same as is a more inclusive version of the Kelly criterion, where the Kelly criterion is the Merton share where that coefficient of risk aversion is equal to one. And that gives you the Kelly criterion, which comes at the problem from a different place, but winds up in the same place. Another way to think about the Merton share that might be easier is that the amount of risk that you want is proportional to the sharp ratio of the risky asset portfolio that you want to invest in.
25:43Rational Reminder Hosts:And then that's the amount of risk you want. And then to figure out how much exposure you want, how much of those assets you want, then you would divide by their risk. And that's why we wind up with risk squared with standard deviation of return squared and the denominator. Again, it's a rule of thumb, but it ties expected utility theory to the investment process. You can get more general and more realistic, but that's the simple rule of thumb from Bob Merton and, well, Paul Samuelson's paper too. But I think Bob, we call it the Merton share because I think Bob kind of came up with it. And then Professor Samuelson was his mentor.
26:20Rational Reminder Hosts:They published joint papers at the same time, but I think that Bob came up with it in continuous time first is what I understand, but I'm not sure.
26:28Victor Haghani:Yeah, I don't know. I've seen it called the Merton Samuelson share too. I don't know how much it matters. I've never heard Bob complain about it being called one of the other. Yeah, either way. Yep. A really good explanation. And it's really interesting how that ties into momentum and the persistence of momentum because people are changing their asset allocations as risk and expected return evolve. And that is driving momentum. And momentum should then persist unless it becomes the dominant where most of the capital sits, I guess. Yes. Super interesting.
26:58Rational Reminder Hosts:When we were talking about, you know, other investors that could do better, one simple strategy that actually does really well is a value and momentum combination. So combining fundamental long term cash flow investing signals with momentum. So value and momentum gets a much higher Sharpe ratio when you combine those two. And this really goes to kind of explain in some ways very satisfyingly the results from the Asnes et al. paper. I forget when it's from, but value and momentum everywhere that I think has had an impact everywhere on people's thinking. I mean, I think that was a really seminal paper.
27:39Rational Reminder Hosts:It certainly shaped our thoughts a lot at Elm. What do you think your model adds to our understanding of markets? There's a vast, vast literature of these heterogeneous agent model approaches to the markets and from the Santa Fe Institute to Northeastern universities. And there's all kinds of contributions here. And I think that the two things that we really add to our understanding about this is that number one is that we're presenting this in a way that's much easier for people to understand that it is not heavy math here. All of the most recent papers use a lot of heavy math, and they're really hard for most people to comprehend.
28:21Rational Reminder Hosts:And then the early papers were more like stick models. Larry Summers and DeLong Summers, etc., Schleifer kind of had a stick model early on because they were just kind of showing the general contours of what things look like in a multi-agent setting. So one is that we've made it more accessible. Then the other one is that we've made it more general. So nobody, as far as we know, has built a model that has six or seven different kinds of investors in there. You know, we have the three that we talked about. We have a value and momentum investor. We have a by the dip short term reversal investor.
28:55Rational Reminder Hosts:We've modeled like a more anticipatory investor in there as well. So this kind of generality of the broadness of it going and allowing you to put in any kind of investors you want and was going to help people who want to take the research further and put in more realistic investor types and make the simulation more and more realistic.
29:16Victor Haghani:You mentioned the value and momentum insight. How else did thinking through and writing down this model affect your views on asset allocation?
29:24Rational Reminder Hosts:That's perhaps the main one. But I think when you come to appreciate how important extrapolators are to what's happening in the world, maybe it's a little bit of to a man with a hammer, you know, every problem is a nail. But it just feels like understanding these extrapolators and how much they can affect behavior creates a lot more humility in terms of what the markets can and might do. And also kind of gives you this focus, you know, in terms of trying to understand what's putting more focus on them than on any other investor type and behavior in terms of trying to understand what's going on.
30:01Rational Reminder Hosts:So, so, so many people, long-term market observers, they look and they say, gosh, I don't understand what's going on. We have higher interest rates. We have this bad government deficit. We have tariffs. We have global political instability, all these different things we have going on. And they're like, I don't understand why the market is 20 % higher after all these things have happened. What is going on? To us, thinking with this lens on, it's like, well, one simple explanation is that until recently, U.S. companies were buying back over a trillion dollars of their stock per year. There were no IPOs, flows into 401ks and so on.
30:45Rational Reminder Hosts:We're also running at like a trillion dollars. So here was a couple of percent of the total or more than a couple of percent of the total U.S. market disappearing or being bought by exogenous demand each year. Combine that with people just seeing these returns. And I mean, I don't know how many people I've heard just say, just keep all your money in equities because you're going to get 10 % a year. It's been 10 % a year for 100 years, and it's going to be 10 % a year forever. However, that's self-reinforcing for a long time.
31:19Victor Haghani:Sure is. For some indeterminate amount of time.
31:24Rational Reminder Hosts:Another thing that we kind of tried to play around with in the model is there is some time when there's probably some time when you can get a lot of supply of equities. When it looks like the long-term expected return of equities is below government bonds, we would anticipate that companies will issue a lot of equity. when it really becomes clear, when equity becomes cheaper than debt, company treasurers, company CFOs, company CEOs and boards pay attention. And they're like, OK, we should raise equity. There's a lot we can do when equity costs less than debt. And we still have the market would need to go up quite a bit more to get there.
32:04Rational Reminder Hosts:But there is some boundary condition, I think, that's out there. Japan hit that boundary condition in the late 80s. Boy, did they issue a lot of equity in the late 80s in Japan, right? They issued a lot of equity in that run-up.
32:16Victor Haghani:We got a ways to go still is what you're saying.
32:20Rational Reminder Hosts:We have a ways. Maybe it's another 50 % up, all else equal, or a percent or two higher in interest rates. You know, if we got 10-year tips at three and a half, 10-year treasuries at six, we'd see more equity issuance if the market stayed here, that is.
32:37Victor Haghani:They didn't go down. Very interesting to think about. But I haven't thought about U.S. stock market valuations in a while because whenever we talk about it, the market just keeps going up. So it's like, all right, maybe we're contributing to the extrapolation by no longer talking about it. Exactly. You did a great article on long, short direct indexing. Can you talk a little bit for listeners just about what that is before we start asking you questions about it?
33:02Rational Reminder Hosts:There's been so much over the last couple of years in the U.S. on different kinds of strategies to help people defer their taxes or in some cases pay less taxes. What we've had for quite a long time are direct index tax loss harvesting programs where you give your money to a company like Parametric, which I guess is now owned by somebody else. And a lot of companies are offering it. And they put you into a portfolio of individual stocks like the S &P 500. And then when individual stocks go down, they sell them and then they try to buy them back later on to realize losses as much as they can and to try to track the S &P 500 over time while realizing losses.
33:45Rational Reminder Hosts:Well, more recently, it's this strategy that people have thought about in the past is taking that to another level of let's go leverage long stocks and run a short position against them. So instead of just taking$100 and buying$100 of stocks, I could take$100 and control$300 or$400 of stocks. And I can get a lot more tax losses in that way to offset gains that I might have elsewhere. And this is called leverage long short tax loss harvesting because it's using leverage and it's using shorting. But it's still tax loss harvesting with individual stocks. It's grown quite a bit. There's been a bunch of articles about it.
34:25Rational Reminder Hosts:So we've been writing about this for a while. We started off writing about direct index tax loss harvesting, and we made the argument that most investors shouldn't really have a lot of capital gains if they're long term equity investors. they shouldn't have a lot of capital gains to worry about other than the fact that they are selling some stocks over time to consume. The point of the wealth is to spend it. So you have to sell over time stuff that you have in a taxable account and realize some gains. But overall, if you are invested in stocks, you don't have a lot of capital gains. You're getting a lot of deferral just naturally.
35:05Rational Reminder Hosts:But if for any reason you do other kinds of investing, maybe in hedge funds or other things and you get realizations, you have a lot of capital gains, you might want to try to reduce your payment of them over time and defer those gains into the future. We've written about this. And with respect to direct index tax loss harvesting, we've said, well, after you figure out the fees, because this carries fees, and after you figure out the extra risk that you're bearing, you might be just as well off owning ETFs and doing tax loss harvesting on your ETFs, own Vanguard Broad, total market. And if that goes down, replace it with the S &P 500 index fund and do something like that, or maybe own the different sectors of the S &P 500 and do something like that.
35:50Rational Reminder Hosts:And that takes you to about the same place. You have less risk. Probably it's slightly better, but you just have less complexity. You don't wake up one day with a 400 stock portfolio that you don't know what to do with, where you have corporate actions and all this stuff that you have flexibility by having a simple portfolio and you're getting about the same result. When there started to be more interest from people in leverage long short direct indexing, we analyzed that and we came to a similar conclusion. Well, the conclusion that we came to in our research was that if you don't believe that the long shorts are going to generate alpha, we don't really think is worth doing.
36:32Rational Reminder Hosts:The fees are much higher than in the unleveraged version because here you have higher fees from the manager and you also have a long short friction that Fidelity or Schwab or whoever the custodian is charging to run the longs and shorts. That if you don't believe that there's alpha in this long short strategy, then probably it's not worth doing. I mean, we're not saying it's terrible, but it's just probably not worth doing. And again, you get all this complexity and you're kind of locked into this portfolio and it's kind of messy for however long you're doing it. That was our conclusion. We think there are special cases where this stuff can make sense for people.
37:11Rational Reminder Hosts:Like for instance, if you have a lot of short-term capital gains, that some of these strategies could make sense to try to reduce those and create long-term capital gains out of them and get a conversion for US investors. Or if you're living in California and you're going to move to Alaska and you know that you're going to do that And, you know, it's like, I just want to defer my gains for a few years because I'm going to a low tax state. You know, maybe that could make sense, too. But in general, for most people and for young people in particular, we don't think it's really worth the squeeze.
37:42Rational Reminder Hosts:It's interesting because, you know, we've written about this stuff and journalists have talked to us about it. The last time a journalist was talking to us about it, she was saying, well, can I quote you in this article? And I was like, that people that get quoted in your articles really get some nasty stuff said about them in the public domain. So please, if you wouldn't mind, please don't mention my name. I've had enough bad things said about me over my life. She said, well, but you have this research. And I was like, yeah, I know. But still, like, if you don't mind. So then she said, well, who else could I talk to that's done this research and feels the same way that you do?
38:17Rational Reminder Hosts:And I was like, oh, my goodness, there's nobody really that I can think of. There should be somebody. And then I started to think, well, maybe we're just all wrong about this stuff. I don't know. But that's what we think. We're not crazy about all this stuff. There's no holier than thou stuff going on here. You know, we're just saying that if you don't think there's alpha there, then you don't really want to do it. If you think there's alpha, great. But then you kind of have to ask yourself a little bit the question of if you thought there was alpha there, why weren't you doing it to begin with?
38:43Rational Reminder Hosts:And you might say, well, I thought there was a little bit of alpha, but not enough to overcome the fees. And OK, you know, that's fine. But I think there has to be this question of, do you think that somebody can run long shorts in a systematic way and generate alpha? Maybe. It's tough. We know that Rentech does it. We know that there's a bunch of people out there who do it. And generally, whoever you can be sure of that does it doesn't take outside investors. So we know that it's possible, but in general, it seems as though when somebody really cracks that nut, they very quickly send everybody's money back.
39:22Rational Reminder Hosts:So if somebody is still taking money to do it, maybe they found a way to do it in scale. It's possible, but everybody's entitled to their opinion about the alpha. We're kind of more alpha skeptical. You know, I mean, that's why we're invested in broad index funds for our clients so much. So we're like alpha skeptics in general anyway. So why the hype around the products? people love to pay less taxes. I mean, I think some people would like rather pay somebody a fee and pay less taxes and be in the same place than not paying the fee and paying more taxes. And, you know, I think that some of the purveyors analyze the tax benefits in a fairly optimistic way, you know, like maybe, oh, you're going to roll this until forever and then you're going to get step up in basis or we're going to do a 351 into an ETF.
40:10Rational Reminder Hosts:I don't know how people are marketing it. But if you're an RIA, you're like, hey, I've got this great thing for you client, you know, I'm charging you some money to be your RIA. Here's this shiny new thing, you know, people like shiny new things. This is not even close to the weirdest things going on in our marketplace today. Like we should be saying, why are people buying these buffer funds? You know, it's like, the things of why are people doing X? This is like...
40:36Victor Haghani:I've got one for buffer funds.
40:38Rational Reminder Hosts:This is like almost defensible. This is in the zone of defensible. Like we're saying, it's not quite worth it on a risk-adjusted basis. Like we're not saying it's terrible. There's other stuff that's terrible.
40:49Victor Haghani:On your perspective on this, you guys do run an ETF, but you've got clients, like effectively wealth management type clients. And so you come to something like this from the perspective of, let's do the research and see if we should be using it. Is that the right way to characterize it?
41:04Rational Reminder Hosts:Well, we actually built a direct index tax loss harvesting product and we ran it on some of our own money for a couple of years. And we were just thinking about because people were asking us to do it and we built it and we thought it was a good version of it. And we're like, oh, we don't want to offer this to clients. We would rather clients get about the same amount of expected tax losses or tax efficiency, but keep it simple and not get into this whole thing. I mean, one of the big problems with direct index tax loss harvesting is that always in the back of your mind, you're going to be wondering, everybody knows kind of what these direct index tax loss harvesters trades are going to be.
41:41Rational Reminder Hosts:IBM is down. Somebody's going to harvest that. Everybody's going to harvest that. And there's a trillion dollars in these programs. When we're wondering about how is Jane Street and Citadel and Rentech and all these guys, how are they making money every single day of the year without ever losing money in general? You know, not twice these days, but close. That might well be part of it. When Goldman Sachs and JP Morgan are making billions of dollars on their trading desk, you got to wonder and throw in there Millennium and Ballyasni and all these guys, you got to wonder if you start to underperform in your direct index tax loss harvesting thing.
42:19Rational Reminder Hosts:If you're underperforming, you're going to be like, oh, this is terrible. This is what's happening. And you're going to be really bothered by it. And if you're outperforming, you're going to be like, oh, I got lucky. You know that the direct index tax loss harvesting guys are not doing any analysis. they're just trying to do the tax loss harvesting and manage the tracking error so when it goes well it's like oh this is great i got lucky when it goes badly it's like oh i got picked off by
42:44Victor Haghani:citadel that's interesting and that's uncomfortable and that's like a big reason
42:49Rational Reminder Hosts:that we just thought oh this is so uncomfortable if you're really reporting your returns properly to investors it's just going to be super uncomfortable to be saying oh you underperformed by 75 basis points. And we don't know why. It was just bad luck. And then it's like, oh gosh, I don't want to do that.
43:07Victor Haghani:Yeah, the tracking error. The comment about maybe the tax loss harvesting trades are priced in. And so you're giving up whatever tax benefit there might be to asset pricing when you trade.
43:17Rational Reminder Hosts:Yeah, a little bit of frictions. I mean, we know trading has frictions. And when a lot of people are doing the same thing, it has impact. But I don't know. We've never done any research on that. It's just a hypothesis. a speculative hypothesis.
43:32Victor Haghani:We like simplicity too. When your research and analysis supports the simple answer, we're always excited to see that. Yeah, definitely. Why isn't a crystal ball enough to beat the market?
43:45Rational Reminder Hosts:This is one of our favorite bits of research that we did. It kind of sat with us for a long time. We did this research where we wanted to test out something that Nassim Taleb had tweeted about long ago. He said, give a man the front page of the Wall Street Journal a day ahead of time every day of the year, and within a year, he'll be broke. It's like, wow, that would be so interesting to try to test this out. So we created a game where we give people the front page of the Wall Street Journal a day ahead historically and let them trade on that in stocks and bonds and see how they do. A lot of those days are employment days and Fed announcement days.
44:22Rational Reminder Hosts:So there's real news. we ran the experiment with real money, mostly with MBA and finance graduate students to begin with, and some practitioners. And then we just opened it up. We've had 100 ,000 people or more play it since then for fun. And it's really hard to generate a good return. Turns out that on average, people didn't do very well despite having this newspaper a full day ahead of time. Part of it, I think there are two things mostly going on, or three things maybe. One of them is people really had a hard time sizing their bets in a sensible way. People oversized their bets. They were sure that stocks were going to go up because they could use leverage in our experiment.
45:03Rational Reminder Hosts:And so they would be like 40 times leveraged and the market would go down 2%. And that was it. They lost 80 % on that day and they couldn't come back from that. So one is that the sizing just didn't correspond to sensible sizing or proportional to how clear the signals were. Like sometimes the signals were pretty clear and other times not. And people didn't size like that so much. That was one thing. Second thing was that many of the people who played the game really wanted to trade stocks. But the news is much more economic and Wall Street Journal news is much less ambiguous when it comes to bonds.
45:39Rational Reminder Hosts:When you get something that's like the economy is stronger than we thought, well, that could be good for stocks or that could be bad for stocks because interest rates might be going up. But it's bad for bonds generally. And so we also found that people had a predilection to speculate in stocks more than bonds and they would have done better in the bonds in general. People did better in their guesses on bonds. And then, you know, people just had some difficulty parsing the news. When we brought in some senior macro type traders to play, we got six or seven of those guys to play it and they did well.
46:10Rational Reminder Hosts:But they only had a hit ratio of like 60%, but still they did well. They had a good sharp ratio in the end after 15 things and they like doubled their money on average over 15 sets of bets. So it was possible to do well. Quite a lot of experience was needed. I think if you gave the front page a day ahead of time to a bunch of macro traders, they would make good money over time. They wouldn't be making their money grow tenfold. They doubled their money after 15 of these. Those were some of the interesting findings. And then of course, I think you'll probably ask, you know, we had this idea like a year later to let the AIs loose on it and to let the AIs play.
46:49Rational Reminder Hosts:And that was as much fun as anything. Since you brought it up, I was going to ask about it.
46:55Victor Haghani:Yeah, you have to. How did the AIs perform relative to the humans?
46:59Rational Reminder Hosts:We got the AIs to play and we'd spent a lot of time trying to make sure that they weren't like cheating, like figuring out, oh, that front page was from this date and figuring out what happened exactly on that date. So we're pretty sure that they didn't do that. And we're also pretty sure they didn't do that because the first time that we let them loose on it, they didn't do very well. They had a good hit ratio, but they took too much risk. They didn't size things correctly. Now we were using the free versions and this is what six months ago or so. So we were using free versions as of six months ago.
47:28Rational Reminder Hosts:You know, we weren't using Fable. When we then went for the paid versions of three of them, because we couldn't get a paid version of Grok going, the paid versions of Claude, Chachi PT, and Gemini did better than the more free versions. And then when we told the AIs to read our book, The Missing Billionaires, and to think more about sizing, then they did even better. They probably became a little bit overly conservative. But they did a really good job on figuring out whether the markets would go up or down and how strong. I mean, they were smart. It was impressive. But they got the sizing wrong to begin with, which was interesting.
48:03Rational Reminder Hosts:If we probably did it today, they'd probably do better because the non-premium versions are probably much better than the best versions were back then. But it was really interesting to see that generation of AIs play the game and do well, except also struggle with sizing a bit.
48:19Victor Haghani:How much attention do you think normal investors should pay to the news?
48:25Rational Reminder Hosts:In terms of investing, very little. in terms of human experience, in terms of our life as humans. I think it's important to know what's going on in the world to be good citizens and all of that. But I think as an investor, kind of close to zero. I think as an investor, you just don't need to be following the news very much at all. I think that a sensible long-term investing strategy, even if it's a dynamic asset allocation variety just doesn't really need to follow the news very much at all. Very little. I think that as people, though, we have a responsibility to follow it somewhat.
49:05Victor Haghani:Got to be informed to some extent.
49:08Rational Reminder Hosts:Isn't it just amazing, even when we're following the news, just how little we are really seeing of what's going on in the world. I don't even know the last time that I heard about what's happening in Thailand. No idea. Every once in a while, it's like, this happened in South Africa or this happened in India. We get such a narrow version of news and I don't know what we could do about it because there's just so much news. How much of it could we consume anyway?
49:36Victor Haghani:That's an interesting question. Not all of it, probably.
49:39Rational Reminder Hosts:Yeah.
49:40Victor Haghani:How do you choose? How concerning do you think the amount of leverage in the U.S. stock market is currently?
49:47Rational Reminder Hosts:Leverage is something that we built into our model for our who killed the random walk paper, and then we didn't wind up using it at all. We kind of left it out even though we built that in. But leverage certainly exacerbates all of the instabilities that we have. I think that the leverage is concerning, particularly the leverage that we have embedded in leveraged ETFs, which we know have to do systematic trades at the end of every day, where when the market or stock or whatever the thing is based on goes down, they have to sell. And when it goes up, they have to buy. Margin interest is pretty big, but I don't think margin interest is terribly concerning.
50:27Rational Reminder Hosts:It probably helps that Fidelity and Schwab are still charging like, I don't know, 9 % for margin. And so I think that makes it clear to many people that you don't want to be running leverage longs for long. Then we have this absolute explosion in options trading. that is effectively potentially a lot of leverage. When you go back and think about October of 1987, that Black Monday and how the Brady Commission or whatever was like, yeah, you know, this got caused by portfolio insurance and the trades that needed to be done. And, you know, the portfolio insurers need to sell 60 billion of stocks.
51:05Rational Reminder Hosts:And that set the whole thing off. I think that the market can absorb things sometimes and other times it doesn't. I think the leverage is concerning. not massively concerning, but concerning. There's more than meets the eye from just looking at the margin figures. All of a sudden, you hear about something like the situational awareness situation. I never knew about that lever. I had no idea. Who else is out there with leverage and leverage long shorts? Fidelity and Schwab are kind of saying, hey, going back to the leverage long short direct indexing, they're saying, we're a little bit concerned about this.
51:41Rational Reminder Hosts:We don't want too much more of this on our custodial balance sheet or in our custodial system because they're a little bit worried about it. So sometimes the markets can really deal with a certain amount of leverage, but that same amount of leverage sometimes can be problematic.
51:57Victor Haghani:Situational awareness, just for any listeners who don't follow the financial news as closely as we do, was a fund that was highly levered, invested in AI-related stocks, and had a fabulously large downfall or decline in the value of its holdings.
52:11Rational Reminder Hosts:Yeah, I guess not downfall, but decline. Yeah. And it's like a lot of leverage that we didn't know about.
52:16Victor Haghani:I know listeners will have caught on to the comment about the daily resets on leveraged ETFs because we've had some discussion within our podcast community about how from the investor's perspective, daily resets are actually not a terrible thing, even for a long-term investor. But you're talking about the effect, I think, on volatility and asset prices in the market. There is a recent paper looking at the effect of leveraged ETFs on the Korean stock market recently. And they do show that in that case, it's a smaller market, obviously, different environment than the US, but they did significantly increase volatility, which is pretty interesting.
52:52Rational Reminder Hosts:Boy, that Korean market, that's incredible. Yeah. Things spill over. There's all kinds of interrelationships, which is all pretty highly non-linear, all this stuff. We have the butterfly effects where like a small thing can really get things going with these interrelationships.
53:09Victor Haghani:So when does it make sense to borrow to invest in stocks or any other risky assets?
53:14Rational Reminder Hosts:So first of all, the iconic, sensible case for leverage involves young people where they have a lot of human capital, where hopefully a lot of that human capital is not highly related to the stock market. So they have human capital and it doesn't have a super high beta, so to speak. And they don't have much financial capital. And they're like, okay, well, how much stock should I own? They're like, well, I should own 50 % of my total wealth, my financial capital, my human capital in the stock market. And it's like, well, I just have a little bit of financial capital, so I should be leveraged. This makes rational sense.
53:52Rational Reminder Hosts:The problem though with it is that leverage is expensive in general. It's also the leverage is pretty variable in terms of cost. But we talked just a moment ago about Fidelity and Schwab, E-Trade. I don't know. I mean, every brokerage sort of has their own cost of leverage, which tends to be on average really high for offering leverage through brokerage accounts. There are a few places that have lower costs of leverage and also sometimes futures are implicitly giving you leverage at a lower cost than those high costs of 9 % or whatever at Fidelity and Schwab. But it's hard to be an individual investor and to be borrowing at less than 1 % over treasury bills or 1.5 % over treasury bills.
54:37Rational Reminder Hosts:That's the very best that you can do on relatively small size, which is kind of the case of the person who doesn't have much financial capital. That person doesn't have$50 million to have it interactive brokers and get the overnight rate plus 50 basis points. That person is going to be at one and a half percent over the overnight rate. And so now it becomes a question of, well, if the expected return of stocks is just two or three percent higher than the risk-free rate, does it really make sense to borrow paying one and a half percent? Because that one and a half percent is a sure cost. The three percent is a risky expected return.
55:17Rational Reminder Hosts:And we need to kind of haircut that to make it risk adjusted. There just tends to not be a lot of juice there. depends a little bit on the environment. Right now, we're in a low expected return environment. Levering up probably doesn't make sense for most people. It could make some sense for some people, but in general, we'd say it probably isn't worth the complexity, the risk of losing most of your savings. It kind of hurts. You're 27 years old and you saved up a couple hundred thousand dollars and all of a sudden you have$30 ,000 left because you were leveraged doing something sensible, But still, that pain is tough.
55:54Rational Reminder Hosts:And, you know, you need to be monitoring it and keeping the exposure constant and all of that. So in some places, the deleveraging happens automatically. You know, you don't get a chance to make a margin call, you know, to top up or to do it yourself. Net, net, net. We would say that for older people that have a lot of financial capital relative to their human capital, probably it doesn't make sense to leverage. And for younger people, it's more of a borderline call and maybe just keeping things simpler and not doing it makes sense. And just focusing on getting the savings into the market is going to be more comfortable.
56:28Victor Haghani:Spent a lot of time recently reading about leveraged ETFs, like just long leveraged index ETFs. The spreads above the risk free rate are around 50 basis points, which is not crazy. But of course, you're paying the 1 % or whatever it is, or 80 basis point fee to get access to that. it's not really that cheap, but it's maybe better than margin rates at brokerages.
56:50Rational Reminder Hosts:You do have non-REIT. It's certainly better than Fidelity or Schwab, but I mean, it starts to look like going long futures. In the product, it's closer to that.
56:59Victor Haghani:The thing that I realized looking at these over the last couple months is that the live history of the US equity leveraged ETFs has been through a period of time where interest rates were super low and equity returns have been super high. And so people look at these products and they're like, wow, I want to leave her up because look how good the returns are. But if you go back just a little further in time, rates were higher, realized returns were lower. And some of the products that did exist back then in the mutual fund wrapper, they do have slightly higher fees, but still they've underperformed or they've just now broken even with just a regular US equity ETF going back to the 1990s.
57:37Victor Haghani:There's a pretty severe recency bias where the products that people can easily see and access look really, really good, but it's because of a very specific set of factors over that period of time and it's not always going to work out that well.
57:48Rational Reminder Hosts:If you're going to do that you don't want to have any cash sitting around you don't want to have 30 % of your account in cash and then have 70 % in a leveraged DTF which a lot of people can do that but yeah I think leveraged DTF futures some of the low margin cost brokerages all can get you to probably 1 % over risk-free rates but even if expected returns of equities is 2 % over risk-free rates, that doesn't mean you should do it because you have to think about what's the risk-adjusted return at the margin of owning the equities. And in general, that's always going to be lower than the expected return.
58:23Rational Reminder Hosts:The risk-adjusted return is always lower. It can never go the other way because risk is always a cost. It just starts to get really marginal, I think, very quickly. In a different world, a different environment, you know, if CAPE were 15, earnings yield was high and interest rates were low and risk premium was high, it could look a bit different, but there's plenty of risk. If you're close to 100 % in equities, that's a lot of risk. That's another thing I would say is that's just a lot of risk. It doesn't feel like a lot of risk today, but one day you'll wake up and it's going to be a lot of risk.
58:55Rational Reminder Hosts:And it's a lot of return. If markets keep going up and you had 100 % in equities, you'll do really well.
59:01Victor Haghani:The human capital argument for young people is also really interesting because it makes sense like the Merton share argument for leverage makes sense for a young person. But then you start thinking about what does the human capital, the young person actually look like? Is it really bond-like for someone entering the workforce? I don't know that it is.
59:18Rational Reminder Hosts:I don't think anything is totally bond-like. There's always going to be some beta in there. A lot of times, you know, the person that's thinking about leverage is the person who has high beta human capital too. It's the person working in tech, the person that's got a trading job, you know, in Wall Street or something. So many of the people are people with high beta human capital. You also have all the people that are kind of just doing it for a living, influencers and so on that are out there. And it's not totally clear what their human capital is deriving from other than things that are pretty economy sensitive.
59:53Victor Haghani:There's the beta for sure, but then there's also the tails. Like you look at software developers right now, there's just a lot of folks who I think are realizing their human capital was a lot riskier than they maybe thought it was just because of what AI is doing to that profession. So you've got a new book that you mentioned early on in this conversation, Get Rich Once and Other Financial Wisdom for Our Younger Selves. So to finish off our conversation here, what financial wisdom would you give to your younger self?
1:00:20Rational Reminder Hosts:Oh, I'm embarrassed to say this, but I would say read a book like this. Do something proactive to make a plan and to really think about your finances. And I say that it sounds so obvious in a way, but I can tell you that when I started in Wall Street in 1984, I went for a really long time without thinking about my personal financial situation. I was busy. I was doing well. I was dating. And I just didn't do it. And I had learned this stuff in university. You know, I studied finance and university, but there was like some kind of disconnect between leaving university, working in Wall Street, where I just didn't think about this stuff.
1:01:03Rational Reminder Hosts:And so I would say, whether you read our book, there's so many ways today to make yourself really financially literate and to give yourself enough financial sophistication so that you can make a plan, you can make a lifetime plan, you can get your financial affairs in order. And you can do all of that in the time it takes to watch one season of your favorite Netflix series. In 10 hours, you can just really have your whole situation sorted out. This is how much I really need to save. I'm doing the best with my 401k match or whatever we have in Canada. All of these things, they are simple, but it just takes some time.
1:01:43Rational Reminder Hosts:We should all be doing that. And besides our book, there's so many other, our forthcoming book, there's so much other resources out there for people to use to get there. There's parents, there's other elders, there's other colleagues, there's other friends. It's just a question of being intentional and devoting that time to it because it's amazing how many of us didn't do it and how many people are not doing it today.
1:02:06Victor Haghani:You said you were embarrassed to reference your own book as the resource. I don't know, man. I was doing an interview for a newspaper recently and they asked me the same question and I thought about it and I was like, you know what? They should listen to this podcast. Absolutely. If you're producing good information, you should tell people to consume it. It's not an embarrassing thing.
1:02:23Rational Reminder Hosts:So many of my friends are huge fans of your podcast. Absolutely. It's a great way for people to get educated and there's great stuff out there. It's just being intentional about going after it and doing the right thing.
1:02:36Victor Haghani:It matters. We hear, and it's not just our podcast, like you said, there's lots of good stuff out there, but we hear from people who they'll email Cameron and I, and they'll say, like you changed my life. You completely changed the course of my life just by having good information and they're making financial decisions more confidently now. And it's like, it matters, but the resources are out there. You just have to dedicate the time to consuming them.
1:02:56Rational Reminder Hosts:Super rewarding for all of us, for sure.
1:02:59Victor Haghani:A hundred percent. Well, that's a good place to finish, Victor. We really appreciate you coming back on the podcast. This is a great conversation.
1:03:05Rational Reminder Hosts:Thank you both very much. Hope to see you guys in person before long too.
1:03:08Victor Haghani:Definitely. That'd be nice. Thanks, Victor. Thanks guys.
1:03:15Victor Haghani:That was something. Yeah. Trying to think like, how do you encapsulate the conversation? I wrote down a line and he basically off mic said the exact same thing, which is there's so much to talk about in a market portfolio environment. Yeah. And it's true. Yeah, it is true. We covered so much ground. I love talking about super nerdy stuff. You were messaging me as we were going about how their nerds are getting their fill and they were, but the whole conversation about direct indexing, super interesting. his paper on who killed the random walk also fascinating just thinking about where the different market anomalies come from and where the different return premiums come from that we see in the market and kind of thinking about who is responsible for that what's going on at the investor level is causing the anomalies that we see their little study they did on whether you can predict returns from tomorrow's news super interesting like that's such a cool experiment to run i mean tomorrow's news today i had no idea they've been done that many times but that was pretty amazing.
1:04:14Victor Haghani:And even AI couldn't really take advantage of it. I love the discussion on leverage. That's something I've been looking at quite a bit recently. And I think Victor's thoughts are so good. He applies that just the Merton share thinking so well to so many of these topics. I'm glad that we talk a little bit about what the Merton share is and what it means and why investors should care about it during the conversation. So Victor, we mentioned the introduction. He is the founder of Elm Wealth. They've also got an ETF out through their firm that's doing position sizing based on merchant share thinking.
1:04:45Victor Haghani:So they're using expected returns and volatilities over time to change the allocation between equities and fixed income, which is kind of neat. But they've also got a wealth practice as I understand it. And Victor was one of the founding partners of Long-Term Capital Management, which is a very academic hedge fund. a bunch of academics were involved that collapsed in 1998 quite spectacularly. To say the least. To say the least, yeah. We talked in our last episode, episode 270 with Victor about kind of that experience and how it shaped his thinking in the rest of his career after that event. But I remember the first time Victor reached out to us, I knew him as a character in that story about long-term capital management.
1:05:29Victor Haghani:So he was in the book. Yeah. So I was blown away when he reached out, but he's very thoughtful. It's neat to see him doing research that's getting into some journals. Great thoughts from him on all those topics. Good guy and great communicator. So it's really nice to have him on. Yep. Anything else? No, I think that's good. Thanks everybody for listening, of course. Yep. I hope everybody enjoyed the episode.
1:05:53Victor Haghani:Portfolio management and brokerage services in Canada are offered exclusively by PWL Capital Inc., which is regulated by the Canadian Investment Regulatory Organization and is a member of the Canadian Investor Protection Fund. Investment advisory services in the United States of America are offered exclusively by One Digital Investment Advisors LLC. One Digital and PWL Capital are affiliated entities. However, each company has financial responsibility for only its own products and services. Nothing herein constitutes an offer or solicitation to buy or sell any security. This communication is distributed for informational purposes only.
1:06:27Victor Haghani:The information contained herein has been derived from sources believed to be accurate, but no guarantee as to its accuracy or completeness can be made. Furthermore, nothing herein should be construed as investment, tax, or legal advice and or used to make any investment decisions. Different types of investments and investment strategies have varying degrees of risk and are not suitable for all investors. You should consult with a professional advisor to see how the information contained herein may apply to your individual circumstances. All market indices discussed are unmanaged, do not incur management fees, and cannot be invested indirectly.
1:06:59Victor Haghani:All investing involves risk of loss and nothing herein should be construed as a guarantee of any specific outcome or profit. Past performance is not indicative of or a guarantee of future results. All statements and opinions presented herein are those of the individual hosts and or guests, are current only as of this communication's original publication date and are subject to change without notice. Neither One Digital nor PWL Capital has any obligation to provide revised statements and or opinions in the event of changed circumstances. Thank you.
From the publisher
In this episode, we're joined by Victor Haghani, founder of Elm Wealth and co-author of The Missing Billionaires, for a wide-ranging conversation about how different types of investors shape financial markets. Victor explains the framework behind his forthcoming paper, Who Killed the Random Walk?, and how fundamental investors, static investors, and extrapolators interact to produce momentum, excess volatility, and other market anomalies.
We explore why return chasing is different from momentum investing, how investor flows and inelastic demand can move markets, and how the Merton share connects expected returns and risk to portfolio allocation. Victor also discusses long-short direct indexing and tax-loss harvesting, his experiment giving investors tomorrow's Wall Street Journal today, how AI performed in the same trading game, the role of leverage in financial markets, and when borrowing to invest might make sense. We finish with Victor's advice to his younger self: be intentional about financial planning, build financial literacy, and make a plan.
Key Points From This Episode:
(0:01:20) Lessons from The Missing Billionaires—practical insights on sizing and the Kelly criterion.
(0:03:13) Who Killed the Random Walk?—persistent puzzles in stock returns: excess volatility, momentum, fat tails, booms, and busts.
(0:05:06) Victor's three investor types: fundamental value investors, static investors, and extrapolators.
(0:07:54) How static investors amplify market movements through inelastic demand.
(0:11:11) How investor types interact to shape volatility, momentum, and equilibrium.
(0:14:02) Wealth flows between investor types and how they create instability in simulations.
(0:18:15) Distinguishing extrapolative return chasing from systematic momentum strategies.
(0:20:34) How extrapolators create price trends that momentum investors exploit.
(0:23:46) The Merton share—risk premiums, volatility, and risk aversion in determining equity exposure.
(0:26:39) Combining value and momentum for higher Sharpe ratios.
(0:32:34) Long‑short direct indexing and how leverage increases tax‑loss harvesting.
(0:34:00) Why fees, complexity, and risk of direct indexing may not be worthwhile without alpha.
(0:43:21) The "crystal ball" experiment—advance information, poor sizing, and excessive leverage.
(0:49:28) The role of leverage in markets—ETFs, options, embedded leverage, and nonlinear instability.
(0:52:50) Why leverage can create nonlinear interactions and amplify market instability.
(0:52:55) When borrowing to invest can make sense, particularly for younger investors with substantial human capital and limited financial capital.
(0:55:00) Why borrowing costs, expected equity returns, risk, and the possibility of losing a large portion of savings make leverage a difficult decision.
(0:57:29) Why the risk-adjusted return from additional equity exposure matters more than the headline expected return.
(0:58:42) The relationship between human capital and leverage—and why human capital is not necessarily bond-like.
(1:00:01) Victor's advice to his younger self: be proactive, become financially literate, and make a lifetime financial plan.
(1:02:18) Why dedicating time to financial education can meaningfully change how people approach financial decisions.
Sources From Today's Episode — https://zbib.org/62e42e55fae14cb0a1aa62941d6996a2
Links From Today's Episode:
Meet with PWL Capital: https://pwlcapital.com/
PWL Team — https://pwlcapital.com/our-team/
Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582.
Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/
Rational Reminder on YouTube — https://www.youtube.com/channel/
Rational Reminder on Spotify —https://open.spotify.com/show/6RHWTH9iW7hdnA7eAg7ukO?si=fe7f60349b584026
Benjamin Felix — https://pwlcapital.com/our-team/
Benjamin on X — https://x.com/benjaminwfelix
Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/
Victor's website — www.elmwealth.com
Books From Today's Episode:
Get Rich Once: and Other Financial Wisdom for Our Younger Selves by Victor Haghani, James White — https://www.amazon.com/Get-Rich-Once-Financial-Younger/dp/1394479964
The Missing Billionaires by Victor Haghani, James White — https://www.amazon.com/Missing-Billionaires-Better-Financial-Decisions/dp/139430823X
Papers From Today's Episode:
Who Killed the Random Walk? How Extrapolators Create Booms, Busts, Trends, and Opportunity — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6062494
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
