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cover of episode TIP692: Reading the Signals: How To Identify Winning Investments w/ Andrew Martin

TIP692: Reading the Signals: How To Identify Winning Investments w/ Andrew Martin

2025/1/19
logo of podcast We Study Billionaires - The Investor’s Podcast Network

We Study Billionaires - The Investor’s Podcast Network

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Andrew Martin
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Kyle Grieve
投资分析师和播客主持人,专注于高质量股票分析和投资策略讨论。
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Kyle Grieve: 本期节目讨论了 Andrew Martin 如何利用其物理学博士学位进行投资,他寻找的优秀投资的典型特征,以及提高思维过程的有价值的心智模型。我们还讨论了他对小盘股的偏好,他如何利用拐点策略来战胜市场,以及他从基于资产的投资者转变为现在的投资者的过程。此外,我们还讨论了技术如何扰乱低技术产业以及更多内容。 Andrew Martin: 我利用我的物理学背景来提高我的技术能力和分析能力。我寻找被市场低估且具有技术或机器学习增长潜力的公司。我使用一个基于地震的心智模型来识别市场可能忽视的隐藏基本面和催化剂。我专注于市值低于 10 亿美元的小盘股,因为大部分有吸引力的投资机会都集中在这个领域。我通常持有 10 到 20 个核心仓位,并根据市场情况进行调整。我从基于资产的价值投资者转变为注重合理价格增长的投资者。我发现技术正在扰乱低技术产业,并快速改变商业模式。我通过整体管理投资组合的流动性来应对完全投资带来的挑战,包括限制单个投资者的规模和管理投资组合的整体流动性。我利用价格作为尽职调查的一种手段,并通过多种指标对投资组合进行交叉比较,以确保投资组合的平衡。我专注于具有确定性高、风险低的拐点型企业。我通过概率方法来评估投资机会,并根据不同的情景分配概率权重。我努力保持耐心,避免冲动决策,并通过建立缓冲来应对市场波动。我投资全球企业,这使我能够在市场之间进行资本轮换。我通过互联网、人工智能翻译工具以及对不同国家的业务相似性的理解来克服在非英语国家投资的挑战。 Kyle Grieve: 本期节目讨论了 Andrew Martin 如何利用其物理学博士学位进行投资,他寻找的优秀投资的典型特征,以及提高思维过程的有价值的心智模型。我们还讨论了他对小盘股的偏好,他如何利用拐点策略来战胜市场,以及他从基于资产的投资者转变为现在的投资者的过程。此外,我们还讨论了技术如何扰乱低技术产业以及更多内容。

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Andrew Martin, with a PhD in astrophysics, has achieved outstanding investment returns since 2019, significantly outperforming the S&P 500. This episode explores his unique investing strategies and insights.
  • Andrew Martin's fund, Fairlight Capital, has compounded at 38% per annum since 2019.
  • His success in investing in Asian businesses is highlighted.
  • The episode will cover his unique investment strategies and mental models.

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You're listening to TIP. I think it's safe to say that today's guest, Andrew Martin, has crushed the S&P 500's total return since 2019. In that time span, his fund, Fairlight Capital, has compounded at an impressive rate of 38% per annum, versus the S&P 500's rate of 16%. Andrew first came into my radar for writing a piece on a business that we both hold in common.

However, after taking a deeper look into some of his other holdings and finding his impressive track record, I wanted to learn more about what he was doing. We'll discuss the physical cue that Andrew uses to help him subconsciously identify when he comes across an investing opportunity with loads of potential. If you've ever found a physical cue to help prompt you to go deeper into an idea, you're definitely going to resonate with this. We'll also cover some of the common characteristics that Andrew finds in businesses that get Andrew excited to go down the rabbit hole.

Since Andrew has a PhD, I wanted to find out how he's used this to his advantage, specifically in the world of investing. And interestingly, he had this really novel mental model from his days in physics that have helped him think about why some of these excellent investment opportunities exist in the first place. He also uses mental models to help identify catalysts that can bring sudden movements in a stock price both upward and downward. This mental model can help you find hidden upsides in the market that hasn't yet been priced in, which is obviously a very, very valuable tool to have in your toolkit.

Another interesting theme I wanted to discuss in some detail was technology. Andrew isn't the type of investor who's going to own a Magnificent Seven, but he's clearly thought very deeply about how the benefits of technology have helped reshape numerous businesses and industries. We'll go over his thought process, and he'll share a name that I think was thought of as a low-tech business that is rapidly improving due to the adoption of new technologies.

Now, one thing that I highly respect from Andrew's background is his success in investing in Asian businesses. Since I personally managed to fail at that, I always find it inspiring to speak with others who have succeeded specifically investing in that geography. Andrew has a very particular strategy, which I think helps him rotate capital to the best possible global market opportunities.

While the strategy might not be for everyone, it has wide-ranging consequences as it will make you think about value and how it relates to capital allocation based on things such as geography and industries. Now, without further ado, let's get right into this week's episode with Andrew Martin. Intro

Since 2014 and through more than 180 million downloads, we've studied the financial markets and read the books that influence self-made billionaires the most. We keep you informed and prepared for the unexpected. Now for your host, Kyle Grieve. Welcome to the Investors Podcast. I'm your host, Kyle Grieve, and today we get to bring on Andrew Martin onto the show. Andrew, welcome to the podcast. Thanks very much, Kyle. Thanks for having me.

So it's super rare that I get to speak with a fund manager who also happens to have a PhD in astrophysics like yourself. And I understand that you earned your doctorate from the University of Oxford. And one thing I think that's just so enriching about being a part of this podcast is that I get to learn about some of the backgrounds of the guests that I have, especially how those backgrounds relate to investing today. So I'd love to get to know a little bit more about how you've used your

education background here in physics, obviously it's quite extensive and how that's helped you become a better investor. Yeah, I guess in terms of, yeah, because I did a theoretical physics degree and then, yeah, PhD in astrophysics, which usually stops or starts conversations when you mention that. But yeah, I think really what it kind of has helped my whole career, I guess, in terms of there's a technical aspect to that, you know, in terms of the technologies that you use and becoming, you know, technically literate.

And there's obviously a lot of kind of mathematical modeling and analysis that kind of goes into that to varying levels. Sometimes it's a quite high level of statistical analysis and modeling applied to physics. And in the case of what I was doing, I was looking at weighing low-mass X-ray binaries, so binary systems with a star like our sun and a black hole, and essentially just sort of measuring the orbital periods of those and

weighing the black holes to try and determine if they are actually black holes above a certain limit, then you can theoretically prove that they are black holes. But yeah, I guess that kind of, it does apply very esoterically, I guess, to investing, but there's obviously a lot of analysis that goes into investing and you can, some of it can be more simple. You know, you're looking at income statements, balance sheets, or, you know, the numbers that come out of a business. And other times it can be, you know, you can apply a little bit more of a kind of technical approach

aspect to some of the investments you look at. I did end up doing a bit of a Monte Carlo analysis, some statistical analysis on a particular stock just because it seemed to be the best way to look at a particular piece of analysis. But yeah, a lot of the time, it is a bit more kind of simple, but it does kind of give you a bit more of a feel of like the sort of numerical side of what you're looking at when you look at investments. So it does apply even though it is a very different kind of feel.

So you did another interview where you mentioned that sometimes during your research process, you found an idea that was just so interesting that it made the hair on your neck stand up. This kind of reminded me of the reverse story of George Soros, where he was kind of talking about how he would notice or observe that there were times in his investing career where he might have a headache or a backache, and this would kind of signal him that these things didn't feel right and he'd end up selling.

I love this because it's so interesting to get to know more about these unconscious signals that, you know, happen in investors going at a high level. So, you know, I'd love for you to tell us a little bit more about maybe some of the characteristics of an investment that make, you know, make the hair go up on your neck and, you know, what that investment would look like.

Yeah, that's an interesting question there. Yeah, I remember reading about that as well, that yeah, he'd get a back spasm sometimes when he would have a particularly good idea or wanted to get out of an idea that had gone past its course. Yeah, and I remember thinking that, oh yeah, I wish I could find which part of my body was going to spasm or do the right thing to tell me to look at an investment or not. But yeah, I guess it's the hair tingling thing that I kind of thought of myself. But yeah, it kind of makes me think that

The example I'm thinking of, I guess it was the ESIP banks was a good example of that, where the smaller community banks, minority banks that had been given capital by the government to basically expand a bit more quickly and help underprivileged areas and groups. And yeah, just when I read about it, obviously not many people had kind of realized that's what was happening. They'd essentially been given these, the preferred stock had been issued by these banks and they were going to get a lot of cash out of that and a lot of investment through that.

because they had very favorable terms in terms of interest rates they had to pay in the coupons they had to pay on those instruments and that was one moment where I thought yeah this is a really good investment idea and we've had it in other things since then as well I guess another one being McCoy Global like last autumn which kind of came a bit more slowly so sometimes there's like an epiphany moment sometimes just more gradual you have to do lots and lots of work usually anyway but yeah with that one I kind of came across it I was doing an A to Z kind of search through lots and lots of stocks and then you know

It was in the M, so it was halfway through, a little bit over halfway through. Came across this style when this one seems a bit cheaper and is growing, has been growing for many years. And it just looked, all the metrics kind of looked much better than everything else I've just been recently looking at. So it's one of those where you had to kind of stop and then dive a little deeper, go down the kind of rabbit hole of looking much more closely at business and it was always

oil drilling tech company. I've not really heard many people talking about that business or anything relating to that. Lots of people were looking at oil stocks last year, even though a lot of value investors and GARP investors don't really like those kinds of stocks. So it kind of made me think maybe there's a bit of a gap here that not many people might look at this. They might just throw it out because they don't want to look at oil or energy. But then the more I dug into it, the more I realized there was a technology element to it and a machine learning component to it as well. And the data they were harvesting still are harvesting.

for the oil drilling technologies that they've got. And it just kind of made me realize that this is a very special investment. I've not heard anybody talk about it. And so, yeah, the more I sort of dug into that, that became a kind of, yeah, I guess, hair tingling on the back of the neck kind of moment as well, although it was over a much more gradual period. There was no kind of back spasm for that one. It was a bit more gradual.

So one thing that I observed while reading all of your letters was that you mentioned a few investments, especially kind of earlier on, but you didn't say what the name of it was. So it's interesting. So I did an episode this year about Nick Sleep and Kay Sicaria from the Nomad Partnership. And they mentioned in a couple of their letters how they didn't want to talk openly about some of the names that they had for one very specific reason. And that reason was to combat commitment bias.

So, you know, commitment bias can keep you in a name maybe longer than you ordinarily stay to due to your signaling of your commitment, whether that's, you know, from writing to your shareholders or even sharing it in social media. So I want to just hand it over to you. You know, are you avoiding talking about names that you're accumulating maybe just to avoid getting more and more eyes and interest on the on the stock or the business? Or is there a bias angle or perhaps it's kind of a mix of the two?

It's a good question there. Yeah, and it is a psychological effect because you do notice it in yourself when you talk about a name. You've put it out there and you're talking about it and then you start to defend your position and you might get somebody argue against it or you might get somebody who agrees with you and then you almost get defensive that I've got to argue my chord or talk about it. And then, yeah, it's creating a bias in your own head which can be damaging.

So I guess we do talk, I mean, in the course of letters, I talk about stuff, but then you're not getting direct feedback. So I can't think that kind of helps with that, that it's a bit more one roof. We don't kind of have a lot of kind of back and forth on X or any of the social media platforms in that way. So I think that helps alleviate it a little bit. I don't like to kind of get involved in discussions with people in that way. And I like to hear what people think, but then

I just let them have their opinion, I have my opinion, I keep that separate. So maybe that helps with the commitment bias. I've almost noticed the opposite effect. If there is an effect,

Where names like McCoy Global is probably a good example where we'd done a lot more work and more analysis to defend and we'd put more money into it than some other positions. So maybe it is the kind of the anti-commitment bias that because we've done that much more work and we needed to become more convicted to have a slightly higher position in it, that kind of had the opposite effect that we'd obviously done more work and it worked out better for us.

Whereas maybe a name where you kind of think it's a bit cheap, it's maybe in a more risky kind of position. So you don't want to put lots in it. Maybe there's some, you know, bit more hair on a particular name. So you don't do as much analysis. We still do lots of analysis on it, but maybe those ones don't work out quite so well. I've kind of found the opposite effect. The ones where we've done the most work and convinced ourselves the most have tended to be the best ones. But yeah, that's the opposite effect here.

And so, you know, just in your investing world, what kind of biases do you find that are the types that you need to combat on a regular basis or maybe ones that you're susceptible to or ones that you've had to strategize as you learn more and more?

Yeah, I think for me, I'm quite good at being contrarian and perverse, if that's the right word. So I'm quite happy to disagree with everybody else. And if I find something that's really cheap, I'm quite happy to buy it if it's cheap. I'm not thinking there is often a reason why people aren't buying that stock. So it's good to find out, but then you've got to come to the conclusion that you disagree with them for whatever reason. So we've been talking about gold stocks recently, and I disagree with the market at the moment in terms of those that I don't

agree with why they are as cheap as they are at the moment. But then I think the bias I personally have to fight is it's almost price movement bias. So if a stock starts to go up or starts to go down, it's hard to kind of fight those animal spirits of, oh, you found a cheap stock and it's going up. And you don't want to be stopped to panic buy and chase the market up, especially if you're trying to build a position in something that's called a moderately liquid or

It's going to take you a few weeks to build up a position if the price starts to move for you or against you. It's trying to stop that from biasing what you're doing. I think you just have to look at the absolute level and say, this is still cheap. This isn't still cheap. It's maybe a bit less cheap than it was yesterday, or it's a bit cheaper. But that shouldn't really bias you in terms of it's very hard to guess why a price has moved in any particular direction. I don't even remember one time, I think it was somebody on Twitter back when it was Twitter,

was arguing why a stock had moved. And it was literally because I'd sold it that day. I may have pushed it down slightly. So I was arguing all these reasons why it would have gone down or up that day. And it was actually just because I'd sold a chunk of it.

So yeah, you can kind of tie yourself up in knots in that. So I think it's price movement, thriving price level. I have to be careful in terms of biases. But yeah, there are so many biases that you do have to kind of keep your eye out for all of them and look inside. It's difficult to look inside your own emotions of what you're doing and why you're doing it, just trying to be rational, which is to fight down the emotional side of things. So you mentioned there about being a contrarian here. So I had a question for you specifically on that. So

you probably, maybe you don't see this because you're just naturally a contrarian, but I think a lot of other investors see that being a contrarian is good in the markets, but it can be really hard if that's not how you are by nature, because it is a lonely proposition, right? Humans are tribal beings and we enjoy being part of a herd and we want to agree with a lot of people rather than maybe disagree with a lot of people. And so, kind of differentiating yourself can be hard, even if you want to do it. So,

I'd love to know more about you, you know, how are you kind of differentiating yourself the most? And, and, um, you know, are, are you naturally, do you think you're naturally a contrarian or do you think that it was kind of a conscious decision to kind of move in that direction?

Yeah, I think I actually am. Yeah, just in terms of the way I am and you must be born. I think there's certain elements and traits of the way investors are. You're kind of born with it or born with certain elements. I'm sure there are lots of elements I maybe don't have enough of, but the contrarian side of it, I've got that. Yeah, and it's almost being proven right. I kind of enjoy that more than being with the crowd, if you see what I mean. So times when

Yeah, you pick an investment, nobody agrees with you or not many people agree with you. And then they start to join. Or there's sometimes, you know, a group of people who are investing in a particular stock or name who do agree with you. And then maybe the majority doesn't. So yeah, that's kind of happening in different ideas we've got at the minute. And then over time, you know, the stock price might start to go up. And the best part is really when what you have predicted or estimated will happen in the future. If that starts to happen, that's really kind of gratifying because that's where we're all kind of

The estimation analysis from what we were talking about at the beginning kind of comes in that, and that's the hardest thing to do, I think, is that you've got a position now in a company and maybe it's going through a kind of inflection point or the business has changed its strategy, which you think or estimate is going to make X, Y, Z changes in the future and push up. But if you're going along the EPS or the free cash flow, and if that then starts to happen roughly along the lines of what you were predicting, then that's very gratifying and then be

People will start to believe that. And I think the gold stocks, based on what I'm estimating, are in that kind of position now that unless gold kind of crashes off by a large amount, the cash flows will keep coming in for these stocks. And people, I think, are starting to look at them a little bit more. And again, they're a bit like the McCoy example where they're not the kinds of stocks a lot of startup or value investors would look at because people don't like commodity stocks. And I agree with them 99% of the time, but this 1%, I think maybe it's worth a look at.

So the other side, I guess, of that whole contrarian equation is, you know, obviously the herd can be wrong very often, but sometimes it's right. So, you know, how do you kind of fight that contrarian nature to be different maybe than other people when maybe the herd eventually becomes correct?

No, that's a good point. And that does happen, and it has happened. And it's often, if the herd is right, or some part of your thesis breaks, or you were wrong, you're not always going to be right, then you just have to try again and forget the emotions a little bit and look at the analysis. So the X, Y, Z facts have just happened. You were maybe wrong in whatever you thought, and then you have to then start agreeing with the herd. And yeah, maybe you have to sell out of position at a small loss, or yeah, reduce the size of your position.

Or sometimes you might miss out on an idea as well that that woman, that's the sins of the mission, I guess, that there are some stocks you look at and you just can't quite get to grips with why they're cheap. And sometimes you're wrong. So, I mean, that's one of the least bad ways to be wrong, I guess, that you're then just missing out on making money rather than losing any. But lots of times I read theses from different people. It doesn't quite fit into what we do.

But it ends up doubling in a year's time. You go, okay, the guy was right and the analysis they did was right, but it's not the kind of thing that we'd normally do. So again, yeah, you have different kinds of crowds doing different things that, and I think you just have to kind of stay in your lane for all of a better phrase and do what you do and just, yeah, keep following a process. I think it's one of the most important things.

So you had this really good metaphor in the markets concerning earthquakes that I wanted to ask you about. I really liked it. So the metaphor at its core was that you said the market is generally static. It doesn't move very much, but there's obviously these kind of periods where they can enter a dynamic position, such as large-scale changes happening relatively quickly. Maybe earnings go up very quickly or they release a new product or the market starts understanding it. So the stock can

frequently be anchored to its past, which is great when you see that there's this new information accumulating before everyone else.

obviously sometimes you get this new information that accumulates more and more. And then once enough of that information accumulates, kind of moving to your earthquake metaphor, it reaches this kind of tipping point where things happen, such as the stock price can shift very rapidly up, or unfortunately it can also sometimes shift down. So I'd love to know more about this metaphor here, especially in these, you mentioned these kind of hidden shifts. So what are some of these hidden shifts that you think

you like to look for, or maybe that you think that the market tends to overlook?

Yeah, glad picked up on that because not many people wrote to Spath afterwards, but I thought it was a good example. It's from my physics past, I guess, it kind of made me think of that. Yeah, so in earthquake physics, there's static and dynamic friction. So dynamic friction is less powerful than static friction. So you have tectonic plates rubbing against each other, the pressure and forces build up. Then it reaches a tipping point or point where the static forces can't stop the plates moving against each other anymore.

So they start moving and they switch into the dynamic friction regime, which is a less strong force. And so they move a lot. So it's kind of an analogy where, yeah, when something starts moving, it's like anchoring in the case of stocks stops forcing the stock to stay where it is.

And you can imagine why that might be in terms of psychological agent kind of theory that people are looking at stock prices, the stock hasn't moved for weeks and weeks, and then suddenly it goes up 5%. Everybody's going to start, well, you know, a lot of people are going to start looking at that stock. Why did that go up 5%? And then you realize there's a piece of news, and then it moves up another 5%, and then before you know it, you've had a 20%, 30%, 40%, 50% move. So yeah, I started to observe that in different means. And it was kind of around the time, I think it was Cypher Pharmaceuticals,

There was a little small piece in one of their calls where they just said that they'd obviously bought this new business line. And the CEO kind of casually says, so this has doubled our revenue and earnings for next year. And nobody really picked up on that part of what he'd said as quickly as they maybe should have done. And the stock price moved just a little bit that day.

And then more people noticed and it moved a little bit more, a little bit more. People realized there was this fundamental change to the business. It was already a very good business, but it was kind of reinforcing the fact that the CEO is doing very good stuff and had just made a big change to the business. And that's happened in lots of other places. There's a few stops at the moment that we're looking at where this is also happening.

And it's a few names that we're not going to mention yet because we're still building a position, but we'll probably mention it early next year. But a similar kind of thing where the kind of stocks that we like are inflection stocks, where there's a change to the business or some strategic shift or something that's going to fundamentally affect the business, or there's a new deal or some kind of interaction, some financial change that's going to kind of prove out that the strategy is working for a business and you kind of see it playing out. And that's kind of what we look for. Ideas where the...

thesis has kind of already started to play out. I like those kinds of ideas that you don't have to predict that this competitor will do this or this market will do this or this product will work. It's already started to work but maybe people haven't quite picked up on that fact and the tectonic plates have only just started to move.

Those are some of the best ideas, I think, because you've got a lot more certainty and less risk than other ideas. We're trying to predict markets that are very complex two to three years out. So yeah, that's kind of where the thinking kind of came from.

Let's take a quick break and hear from today's sponsors.

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All right, back to the show. Another thing I noticed is, again, this was a couple of years ago, so maybe it's changed by now, but you talked about mainly being fully invested. So I wanted to discuss just a couple of potential problems with being fully invested that I've observed that, and I'd love to get your thoughts on that. So being fully invested makes a lot of sense. I personally also tend to be fully invested as well, but I also don't have to invest other people's money or field calls from angry partners. But some of the possible issues are

for you, getting people who want to redeem their money after maybe you've had a tough point. Or from your standpoint, maybe the market goes down and you see that a lot of the businesses that you already own are really attractively priced. You want to add more, or maybe there's some ideas that you're looking at and they're ripe for the taking, but you don't have any capital to buy them with. So

I would love for you to discuss a little bit more about how you think about this problem. How do you find raising capital when you think you have a bunch of new ideas? And yeah, so please, I'll hand it over to you.

Yeah, and it is a tension when you're running a fund or managing other people's money that, yeah, you can't control what everybody wants to do or needs to do. And it can be independent of the market sometimes that somebody just needs to make a redemption for their own reasons. It can be things that are happening and, you know, it could be a business person who's having to generate some liquidity or whatever the reason. Yeah, and it can be when the market is going down.

Or it can be when, like you say, the fund has done well or badly and the timing of new investments and redemption doesn't necessarily come when you want it and when you're finding new ideas. So yeah, I think we kind of try and manage it holistically so you don't have a single investor that's too large in the fund. So it's kind of the opposite side of the fund management, asset management side of the business that sometimes people don't talk very much about. I don't think that you've got to manage the liability side as well, but it's much better to have 100%.

100, ideally 1% investors, or rather than having one or a few, say three and a third percent investors, because they could cause you some difficulties if they suddenly redeemed all their money. So we have to manage it on that side. And we haven't really had any really large investors come in who've kind of changed the sort of structure on the liability side. But a couple of times, there's been a couple who've got close, so we've kind of put in some gating mechanism, just a very mild gating that would just help us a little bit.

if they needed to withdraw it all at once and they would get the money out in two or three months anyway, but it would just help if they needed to do that. It's on the liability side. And then I guess on the asset side, again, it kind of comes down to liquidity. If you're investing in S&P 500 stocks, then you could quite easily just liquidate with very little effect on any AV of the fund.

So again, you've got to obviously have a portfolio, you have different names and kind of manage that, whether things are going well or badly with the stocks. If a stock does well and becomes a large percentage of the fund, you can run that up to a point, but I think you still have to manage that a little bit because, yeah, you've got the kind of liability side of it. So I think it's kind of a liquidity management question that, yeah, it's kind of interesting that not that many people talk about it, but it's a fundamental part of what you do because you don't want to end up in the position where

You have to sell this stock that you think is very cheap and the business is very cheap because you're having to manage that against maybe another position that's more liquid. You have to try and balance all those factors. So yeah, that's kind of how we look at it, kind of liquidity, holistic management sort of exercise.

So we haven't really gotten a chance to talk here that you tend to invest in smaller businesses. You mentioned that generally you look for businesses that are less than $1 billion in market cap for the most part. So there is some interesting problems that you also outline specifically with small caps. For instance, if a small cap's price shrinks, that often means the price and evaluation can decrease quite violently and liquidity can dry up pretty quickly. So

I'd love to just know, why did you end up settling for looking at businesses in that market cap area? And also, how has looking at the smaller market cap area contributed to your outperformance here over the past few years?

It's an interesting point, I guess. I mean, most of the, we don't set out a rule that says we will only invest in ideas below a billion. There just tends to be where most of the ideas are. We've had a couple, or in my history, I've had a few as well, that have been multi-billion dollar names. They're very liquid household names, but they just go through a certain point in time where they become good investments that kind of fit inside the framework of what we do. But it tends to be that most are below a billion.

So yeah, you do end up sometimes having less liquid names, but it's kind of surprising that just a stock at a particular market cap level, some will be liquid and some won't be as liquid, even at the same size. And it varies by market and region, of course, and over time. But I think one of the things we've found is that the kind of lucky element of if you are writing what you're looking for and you find an undervalued stock, and again, you're investing against the crowd, which is

possibly or probably causing some of the illiquidity. People don't want to invest in particular lanes. And then if you're right and the stock appreciates, you know, in the ideal case, then they tend to become a bit more liquid. So they grow. So a $50 million market cap stock will become a 500 billion, an extreme example, and that's going to become a lot more liquid. And then it's much, much easier to sell. And then, you know, if there's an idea that doesn't really go anywhere, then hopefully you've got a bit more time. You know, there's, you know, oftentimes we'll

have an idea and it doesn't quite pan out the way we'd predicted. And so nothing necessarily bad happens to it, but then you just kind of sell out of it over time. Yeah. And so, and I think that, that kind of helps your outperformance, that kind of affects that things will become more liquid as they appreciate if you're right. But then you do get obviously the converse problem where you might be wrong, but then I guess

The opposite to that is that that can often increase liquidity as well. People will be suddenly selling and maybe the buyers disappear, but suddenly there'll be a whole new cohort of people who want to buy into this stock. And maybe it's dropped 20%, 30%, but then you can perhaps more easily sell out of that if you need to. So yeah, it's kind of worked out in both directions really in terms of the liquidity side of things. And I think we try and impose...

a limit as well in terms of liquidity. So there's been a few really good ideas that if we, if I was only managing like a few thousand dollars, then there would have been fantastic investments, but we could only invest a small amount because they were so illiquid. They end up doubling, of course, and then you sell out of them. But yeah, you kind of have to limit yourself to, I think, ideas where you can kind of sell out of them in a reasonable amount of time, like say a few months, something like that. It's kind of beyond that. Then you kind of

They're often good investments, but you're kind of a bit more stuck into them. And I prefer to have a bit more liquidity in that.

So you mentioned in one of the previous questions a little bit about looking for these inflection point businesses. So I like to actually just kind of dive in a little bit more into that topic. So someone I've interviewed before on the show, Paul Andreoli, he also looks at inflection point businesses, but probably a lot earlier in the inflection point than I think you might be looking at them. But tell me, are you looking for businesses that are already decent businesses that might have an inflection to make it?

much, much better? Or are you looking at businesses that maybe would be considered turnarounds, for instance?

Yeah, we don't look at so much a turnaround. So yeah, I think you're probably right. We are slightly later stage than investors like Paul. Often, it's a mixture in terms of how long the history of a company has had. Sometimes the stocks we look at have maybe IPO'd, say, five years ago, and they've kind of grown steadily, but then they hit the inflection point and something big changes. Other stocks might be two, three years old in terms of their journey along the markets and then hit an inflection point. But then...

I think, again, maybe going back to McCoy Global, it's a much older idea in terms of a company that's been going for decades and decades, has been listed for a long period of time, but then has kind of come to a point where it was very cheap and was growing more quickly and had inflected in terms of its business strategy. So it changed fundamentally in various ways what it was doing. And it just happened. And when you track back through the history, there are lots of very complicated reasons why it got to where it had in its journey.

So yeah, so you get ones like that that are a bit longer in the tooth, as it were. But then there's a couple we're looking at at the moment, which are much more recent. And you kind of see why they've only just started inflecting now, because really, you get obviously the operational leverage effects start to kick in. So some businesses that just started off very, very small have grown and then hit an inflection point. People start to most of them and bigger customers come along. And then that can be a good inflection point. But maybe the market hasn't kind of noticed that yet. But the growth is still there.

So yeah, it's a mixture of those things, I think. Robert Leonard : So let's talk a little bit about diversification here in terms of position sizing. So you obviously outperform the market here for quite a long time and you look generally, as you said, just said at smaller cap stocks, but you're probably not owning the Magnificent Seven. So it's safe to say here that you're not closet indexing, for instance. So tell me a little bit more about how you like entering a position. At what point are you thinking of adding, for instance, to an existing position?

And in an optimal world, you know, how many positions do you usually want to own in the fund?

Yeah, it varies. It's sometimes been the case that we've had, say, between 8 and 12 kind of core positions and then a smaller tail of positions we're kind of going into or out of. But we're probably well into the 20s at this point. And it's partly a function of what the market's doing. Although the market is expensive in lots of regions at the moment, it does seem there's quite a few ideas out there because a lot seems to be changing to me. So things like AI,

And a lot of the new technologies are coming out. People are starting to talk about quantum computing, but that's even more perhaps in the future, but maybe not as much as I think it is. Yeah, so there's lots of different ideas that come up at different times, and then it's a balance between that and how diverse you want to be. But yeah, I think somewhere between...

It could be between 10 and 20 core positions, or maybe as low as eight if you have a period where you've got some very high conviction ideas. For the majority of our positions, that's kind of where we've been in terms of diversity. I think to have much more diversity than that, it's hard to track everything and be on top of all the businesses in the details you need to be. Often, they're in completely different sectors, which makes it hard.

If you're trying to understand 10, 12, 15, 20 sectors or subsectors, that's kind of hard, especially when a lot of them are quite technical. And there's technical elements to every business. Trying to track that is difficult. So I think that would then start to hurt your outperformance. So I think, yeah, kind of keeping it at that level, I think is best in terms of you then are a little bit more laser focused on what's happening with those stocks. And as you say, if you need to add to a position that's kind of gone nowhere, but the business is doing well, then we would do that. I've had situations where

The stock we liked went up a lot, sold out of it completely, and then it dropped for various emotional reasons and things that were happening in the market. Again, from a contrarian point of view, I didn't agree with why it had fallen. And then, yeah, then we bought back in and it's gone back up again. So you get these kind of weird situations. Yeah, that's probably, you don't get that a lot, but sometimes you get situations where you can buy into a stock twice and then make money out of it, depending on what happens with the emotions and what Mr. Market's thinking about things.

And so, you know, since you like these inflection point businesses, I guess, you know, sometimes you might enter a position without maybe necessarily having 100% conviction. I don't know, maybe you do, that the inflection will play out exactly as you want it to. So, you know, are there some times, you know, I guess it's completely situation dependent, but are there times where there's certain inflection point businesses where you, you know, maybe you make kind of a smaller starter position, then you want to see how that thesis plays out over time before you start adding to the position?

Yeah, I think it comes down to a lot of the time, the kind of inflection points we're looking at, they're not a long way out in terms of time. So they're not years and years out. They're probably in the next year, 18 months. There's lots of times where you look at a business and you can kind of see in the next few quarters, I'll know whether this is working out or not. So you don't have a lot of time in the kinds of businesses and inflection points we're looking at anyway.

So yeah, you have weeks or probably one quarter usually to do all the analysis that you need to do as much as you can. So it's really a question of kind of diving into the business, trying to understand it as well as you can. Often there's technical and technological components to it, again, which makes it

can be a little bit more challenging, but you just have to kind of do the work. Yeah, and some of it relates to like software and there's a lot of businesses relating to the internet and how that wouldn't have existed, you know, 30 years ago, 20 years ago. And so I think it's really, you've got to try and get to the point where you have more certainty as quickly as you can. So you dive into the business, you try and understand, you think there's an inflection point, you try and understand as much as you can to prove to yourself with enough certainty as you can. You're never going to be 100% certainty, so it's probabilistic.

you know, if the inflection occurs, that might mean you double or triple your money. So you've got to be, if you can become 50% certain, then that's good expected value kind of payoff, but you can become more than that. And that's obviously even better. So you don't necessarily have to be even 90% convinced you have a very good idea and you spread it across multiple ideas. Of course, we've got some good examples out of the moment where we're just trying to get as much confidence as we can, that these things will play out the way we think they will. And if they do,

you probably will make two or three times your money in the next quarter or two because what we think is going to happen will happen and it's kind of started to happen. So these are actually fairly early for us by a few weeks and months. Yeah, so you haven't actually seen like the financial results come through but you start to see some of the business results. So it's kind of those two elements as well as the business element kind of worked through of the inflection and as the financial results come through. In the very rare cases the business inflection has happened

nobody's really picked up on it. And then the financial inflection has also started to happen. And if it's still cheap at that point, then that's usually can have a lot of certainty at that point.

So let's talk a little bit about your evolution here as an investor. So I'm not sure how you came exactly into investing, but I think a lot of value investors come because they're attracted originally from Benjamin Graham, just via Warren Buffett. And then some of them have a couple of years of experience and then they tend to either kind of stick to maybe a very value-based focus that Warren Buffett or Benjamin Graham, obviously in probably even a more extreme manner, chose to do.

or they decide to expand and kind of move somewhat in other directions. So I know that you kind of discuss your evolution a little bit as kind of more of a value-focused investor. And now you're probably, I know you're talking about buying things for cheap, so you're still a value investor at heart, but maybe I know you're also looking for growth at a reasonable price. So maybe could you discuss that evolution in a little more detail?

Yeah, I think one thing that I read, I think it was Bill Ackerman was saying, you either read the materials from Ben McGrath or Graham and Warren Buffett and you have an epiphany or you don't. It's kind of, you're in one of those two camps and you kind of get it. And I did. It kind of made sense to me. And I was kind of surprised at myself and the rest of the human race. There are other people who don't invest that way that have momentum investors and different things, obviously, that make sense in different ways and do make money. But

But yeah, the whole value investing idea kind of made sense to me. And I did, I think what a lot of people do, went back and read the writings of Buffett. I like most of the partnership letters when he was dealing with small amounts of money and doing sometimes quite esoteric things and things that people don't associate with him, like short selling and he was much more activist back then as well. So yeah, that was all fascinating. And then I read through over time his letters and he mungered and became more of a kind of

growth investor, I guess. So he looked more at the business side of things. And I think that's kind of the evolution a lot of investors go through and I've gone through as well, that I was probably more kind of asset focused in the early days. I would look at the assets of a business, whether it's cheap price to book, but it was still kind of a healthy business. And some of those worked out, some of those didn't work out so well. And then I think for me, that's probably a lot of investors, if not all investors have one or two stocks maybe that they have a success with very early on. They're

that then lights them up and you think, oh, maybe I can actually do this because that worked out really well and I made some good money out of that. So yeah, one of my ideas was Bank of America in 2011. So that was very early on for me in terms of what I was looking at. And it was just, yeah, very, very cheap name at that point. It was kind of coming out the back of the credit crisis, but it was still having problems with its mortgage book. It took years for that to all kind of play out and a lot of banks and Bank of America suffered particularly. And they were also waiting to...

find out the results of a fine that are about to get in terms of their handling of the situation. So I think at the very bottom, they were trading somewhere along the lines of if you normalise their earnings and worked out what that business was really worth and could earn, they were all trading at about three and a half, four times earnings. And it was Bank of America and they were going to grow obviously over time because some banks had not survived the credit crunch. There's going to be more of an open playing field. The regulation was obviously going to hamper growth a little bit, but there's still a lot of growth kind of built in there.

And yeah, it was one of those situations again where it was Bruce Berkowitz. I was reading all the stuff that he'd written about that name and it just really kind of made sense to me. And obviously the market didn't think so. Thought the Bank of America was going to get a very large fine. And the price that it was trading at meant that the mortgage business was going to blow up completely and the rest of the business didn't exist. Basically, he was making a huge amount of money out of credit cards and

the rest of its businesses on the commercial side and retail banking, huge amounts of cash flows coming out of those businesses. And once the kind of market to market effects of the mortgage business faded away, it was obviously going to make tens of billions of dollars, which is what then started to happen gradually over the next couple of years. But the market realized within probably a year that that was the inflection point. It was happening and the fine wasn't as big as people thought and it's kind of staggered.

And then the price tripled within about two years. So that was an example where you do the analysis, even with a big name like that worth billions, that being kind of contrarian and that kind of made me think that that's a good way to kind of look at businesses. And yeah, I guess then again, a bit more earnings focused. And then the latter years focusing more on the growth side of it as well. But it's kind of a balance of all those things. Let's take a quick break and hear from today's sponsors. I've been playing prize picks recently, and I have no idea why I waited so long.

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All right, back to the show. So there was another interesting paper that's on your site that you wrote titled The Three-Body Universe. And so in that, you mentioned that simplicity is a key part of your investing strategy. And you mentioned that while owning a business that maybe is like some sort of unicorn disruptor or a business that has some idea that can cure cancer, story stocks just aren't really what you're trying to achieve because…

because of this goal for sticking with simplicity. You know, ultimately you're trying to find odds, business that has odds of success with minimal odds of failure. So I'd love to know a little bit more, you know, obviously right now you talked a little bit about things like AI and quantum computing, you know, how are you maintaining a focus on that vision of simplicity in some of the businesses that you own, especially when, you know,

you go out and you see some of these just insanely speculative names that are clearly very low quality businesses that are essentially they're just story stocks and they're zooming up in price. Robert Leonard :

Yeah, I think the probability angle is an important one. And I read something that, yeah, there was an investor who was talking about it on X, about Buffett being a very good kind of probability odds maker. And again, that's not something people associate with him because he probably doesn't talk about it as much. He kind of makes off the cuff comments. But if you go back to some of his early stuff, he's obviously doing a lot of kind of probabilistic weighting of things and not everything invested in worked out. So the Berkshire Hathaway itself didn't do very well.

And yeah, I think that's one of the things you have to kind of force yourself to do. Because I mean, you were asking in one of your previous questions about inflection points and being certain that they're going to happen. You're never going to be certain that it's just the probability that you're going to have that inflection point and being as certain as you can. So yeah, there's a lot of odds making and it's a difficult way to force your brain to think. So there are some things I do in terms of, I guess, almost like a checklist of certain things that I look at in different stocks.

And depending on what kind of situation it is and what kind of estimations you're making in the future, trying to work out probabilities of those would happen. So, I mean, you can do things, for example, like coming up with different scenarios as kind of basic one that there's a kind of the middle point of what you think is going to happen, the low end and the high end.

And if you kind of force your brain to then think about what's the probability of that's going to happen and the, you know, the bad case and the good case, it forces you to think in a slightly different way. And I think you come up with a better estimate of what will happen because it's forcing your brain to not say, I think the valuation of this stock is X. I don't think that's very helpful. It's saying, well, it's somewhere between X and Y. And then these kind of bands of,

good, bad and fantastic. But what are the probabilities those will happen? So what's the probability that the inflection doesn't happen at all? And then your brain can kind of go through that. You basically create a scenario of, I don't know, I guess like the gold stocks. That's one thing we did with that. So the gold price is somewhere a little over $2,600 at the moment. For the bad things to happen to these stocks and for the price to drop precipitously from where they are now, gold would probably have to fall down to $1,600.

or $1,800, and that's probably being generous. But what's the probability that's going to happen? In my mind, that's fairly unlikely, very unlikely. And then if the gold price kind of stays in the range that it's in now, maybe goes up or down a few hundred dollars, say it goes just down a few hundred dollars, then the stock price will still be very, very cheap. So again, you assign other probabilities to that.

And then the high probability that gold kind of drifts upwards, then in that case, the stocks are even more cheap than I'm estimating they are. And if you put that kind of probability weighting against those different scenarios, you come up with what your estimate is of what you think is going to happen. So I think it's a good way to kind of force your brain into that odds making kind of process, not just go, there's a lot of investors, some younger investors, I think, try and estimate a price and say, this is undervalued by 60%.

And that's, I think, somehow the wrong mindset of what you should be trying to do. You should be trying to say, what's the probability that this doesn't work out and this does work out?

So in that same paper, he wrote, and I quote, in investing business and life, random events have much to do with the pace of success. The best you can do is put the odds in your favor, set up your life so that you can be patient and reduce the number of dumb decisions to a minimum. This is tough, unquote. So this kind of goes hand in hand what you were just talking about with odds and probabilities and using that. But

I want to focus more here on the points about patience and then the points about reducing your exposure here to dumb decisions. How have you set up your life, your investing analysis, everything to try to get you to avoid making those decisions and stay patient?

Yeah, I think for everybody, you need to try and find a way that you're not in a rush. You're not trying to get rich quick because that's very difficult or impossible in this way of investing. People read about doing different ways. Some people have maybe built up a nest egg already so they can kind of use that as a backstop or some other forms of income. I think that's what you need to do if you're going to be patient. So yeah, you either need some kind of

or cushion if things fall, stocks fall, you're not going to be panicking and thinking, I'm not going to be able to pay my mortgage or my rent next month. Then that's going to make you make bad decisions like I need to make that money back because you've just lost it. So you've got to avoid that kind of setup. Yeah, and I think it's a fundamental thing. You have to kind of set up your life in a way that allows you to do that and give yourself years and years of time to be able to figure out what you're doing and work it out that way in at least five years. You're long on that if you can, but...

So yeah, I think people need to be careful. And I think most people do do that in terms of the people I follow on social media do that. And it makes you worry about some of the crypto investors who are maybe putting a large amount of their early wealth or whatever into crypto. And some will make a lot of money. Some might lose it and get burned by that, which is very sad. But I think you have to fundamentally kind of structure what you're doing.

However you do it through, yeah, money you've saved up if you're working or yeah, some other kind of buffer that allows you to give you that time where you can just have that buffer against the volatility because even the best investor in the world will have up and down periods and you just need to have that cushion.

So from researching your investing letters and listening to some of your conversations, I know that you invest quite heavily in global businesses. You're not just sticking with the United States here. So I know part of the advantage of that is that it's allowed you to kind of rotate capital. Say, you know, the U.S. market gets expensive. You can rotate it to a completely different geography. Obviously, there's bonuses to that because, you know, you're not...

You're not restricted to staying just in one market. And if that market gets really expensive, it's not exactly the most fertile playing field to play in. Many investors such as myself, however, though, have had difficulties investing in areas like East Asia, where I know that you guys have had some success, especially in regards, I think, to circle of competence. So I'd like to hand it over to you. Tell me how you've found success in these more faraway regions where maybe you're not

super, super embedded into, you know, the culture or, you know, how those countries work.

Yeah, it's partly made easier by things like the internet where you can search up a lot of information and go down rabbit holes. It's kind of amazing sometimes what you can find if you really dig down into all kinds of weird and wonderful websites. It's amazing what information is out there even in different countries. And I think it's also been recently made easier to some extent with AI and Google Translate.

It used to be difficult sometimes that you could kind of just about recognize the income statement numbers and the balance sheet because you could see whether the numbers made sense versus how you understand those things fit together. But you wouldn't be able to read the language behind it, the management discussions around it. But now that, you know, with the Google Translate and other translation AI tools, that's become a lot easier. But yeah, it makes it a little bit difficult. I mean, it kind of goes against, I guess, the Scuttlebutt kind of approach where

You know, people actually visiting stores to see products and see if they're selling. You know, that's one thing that you want to be able to do, you know, and be able to get this kind of alternative information. And it does make it a little bit difficult if you're looking at a completely different place, which maybe means you have to do a bit more digging around of what's going on over there. But I think there's often a lot more similarities than people think in non-English speaking or in different countries outside the US. A lot of investors I know don't really like looking at non-English speaking countries

and don't invest that much outside the US, which then potentially creates opportunities that there are markets like Singapore. There's been some good investments over there and has historically got some links with the West in ways that other countries maybe don't have the same kind of links. Other countries like India are very difficult to invest in if you're on the outside. Sadly, creates a sort of barrier there. But it's really just doing the same kind of analysis.

Often the businesses are doing similar kinds of things. A lot of countries have banks and different kinds of businesses. You do get some quirks in certain countries where things work a little differently. In East Asia and Japan, I was doing research through A to Z of Japanese stocks.

And I just couldn't get comfortable with most of them because they weren't doing very many buybacks or they didn't pay many dividends. They were just building up cash. And so there's a lot of stocks that are fantastic businesses, but just that capital allocation is atrocious compared to somewhere like the United States where people do lots of good buybacks if they're building up too much cash. But that's starting to change and there's been push companies to do that. And there've been a few that have kind of popped up on our radar, companies starting to do more.

you know buybacks and things that make more sense in terms of capital allocation so i think it's understanding the differences and the similarities so some markets have certain similarities and some have differences and then you know it's kind of been surprising to me over the last couple years i think in canada that people have not really been as invested in canada as they maybe should be and that seems to have changed the last year or so uh you know there've been some bargains over the years in canada that they probably shouldn't have been because it couldn't be

you know it's not that different to the US in terms of a lot of things that are going on over there and I think you're right the one thing that has kind of helped us is that when markets were cheap in one place they've been expensive in another place so we were able to shift so there was a point a few years ago where the US got very expensive but East Asia was very cheap so we kind of shifted rotated over there and then it kind of flipped back the other way a little bit and we found some better ideas in the West again and over the last couple of years Europe has had some good pockets of good investments but

Yeah, I think in general, we kind of look at places where there's kind of good governance, right? It kind of comes down to that and being careful of what kind of political geopolitical situation is behind that. You know, we've always done anything where there's been a really bad geopolitical issue or, you know, wars breaking out, that kind of thing. But yeah, you have to be kind of mindful of that when you look around the world as well.

So in another one of your letters, you were assessing your ability to outperform the market and you came up with kind of these four main factors. One was that you focused on overlooked markets with less competition, which we just talked about here. Two was that you analyze just a lot of businesses. You mentioned kind of go do in the Buffett A to Z thing. Then you look for tons of different businesses that hopefully have these large discrepancies between price and value. Three, you prioritize buying cheaply.

And four, you have a process which insulates you from this external noise and different fleeting trends. So I want to focus actually on the third point here, which you kind of broke down to as price being your due diligence. I'd love for you to just kind of further elaborate on how you use that as an edge and maybe how you also triage your time to ensure that you're maximizing time spent on positions that are worth spending the time on.

Yeah, I guess we have a couple of elements to that. I mean, one's kind of as much as anybody does in terms of looking for cheap businesses that are growing. And I think it's probably the second of those that helps with that if you're looking at a lot of different stocks. It's kind of amazing what will pop up, especially if you're looking across the whole world. There'll be things that are kind of jokingly thought about them as gulp stocks, so growth are unbelievably low pricey. You can find some things, if you look hard enough, that you're almost surprised they exist and that they're that cheap.

And then you'll often find somebody else has also found them. So you're not the only one, but if you look across enough stocks, then you see more of those than perhaps other folks would. But I guess the other thing we do, we kind of embed the way we look at individual stocks into the portfolio and do a cross comparison of how cheap they are with a whole bunch of metrics within the portfolio and against the external market and other ideas we're looking at. So looking at the yield or how much cash

company has on its balance sheet but just looking that across the whole portfolio and trying to balance that and it's kind of good way to look at things as well because it kind of again changes your mental model because it forces you to sell things that are becoming a little bit too expensive and stops you thinking about the price movement which one of the biases that you know it's easy to get caught up with it just fundamentally makes you realize this stock is you know it's now whatever it would be you know p of 2025 it might be still growing or it's growing okay but

It's not, you know, it's three times less cheap than it was when I bought it. So maybe I should be selling a little bit of that and buying out of the one I've just found that, you know, had a PE of five. So it was, then yeah, it kind of helps you. And as I say, there's some metrics we use to kind of force ourselves to do that. And it kind of, it stops some of the biases that you have when you look at stock movements and just see, you know, the movements on charts. So that's kind of one of the ways we look at it that I think helps.

So you obviously spoken a lot here about just simple valuation tools that you use. And so you actually mentioned one that I actually wanted to discuss a little bit more. So you wrote that, you know, determining undervaluation is actually really easy. You just divide the market cap by the earnings in a year or two in the future and you get a number. But you also mentioned that, you know, once you get that number, there's obviously a lot of work that needs to be done once you get to that point.

And also, estimating future cash flows with high certainty can be pretty hard after just a year or two time, even with these super major businesses out there. So I'd actually like to know, let's say you have two businesses, ABC has a lower evaluation in the next two years. And then let's say XYZ maybe has a slightly higher evaluation, but maybe you have more certainty in the cash flows, maybe from year three to five. Robert Leonard

I know that that might not be enough information for you, but between the two of those, which one would you pick? Yeah, that's probably not enough information. But just to take the general point, I guess, I think it would be the one where we can get the most certainty. So yeah, if you can figure out the certainty that maybe it's not as cheap, but you have more certainty for whatever reason it would be. Often you're biased psychologically, I think, to the cheaper one, but often the latter turns out to be the better investment because

It will carry on being certain. Maybe it's in a business where the cash flows are more certain and that will kind of steadily grow over time. You know, we've had examples in kind of both sides where there are some businesses out there that are doing extraordinary things and growing over many, many years at rates above 30%. And you can kind of just see that continuing because there's kind of embedded really strong business moats that they have. And it kind of comes down to that. And maybe the uncertain one doesn't have as much of a note. And maybe the reasons that go into that, that's causing...

You know, you might see quarter to quarter volatility or something that, you know, makes you feel less certain because of the nature of the business. You know, some businesses have high levels of cyclicality and some businesses are just, yeah, more uncertain. So, yeah, I'd probably go for the more certain business markets.

So I want to shift over and talk a little bit about tech, because I know you have some really interesting points on that in your shareholder letters. So there was this interesting trend that you noticed and you pointed out in your letters around the mid-2023 mark, and this was that technology is encompassing a broader and wider area. Maybe that goes in line with your McCoy Global investment. Now, this makes it easier for a business that maybe in the past would not be associated with technology and now can consider itself a technology business today.

So my question for you is, are there businesses that are maybe taking advantage of this just to specifically chase a premium multiple and increase the price of their stock price? Or do you think that this is like an accurate signal and there's businesses that are truly creating value based on technology?

Yeah, I think that people chasing technology was true years ago. So yeah, maybe 20 years ago for dot-coms and there's probably still an element of that, I guess, now with AI. Lots of companies claiming to be doing a lot more with AI than they really are. But I think there is also a trend, a real trend as well, that I started to notice it as we were doing our portfolio reports and you bucket things for investors into different categories. So this is industrial, this is

Consumer discretionary, this is technology. And our technology bucket started to keep going up. And it was because some of the things we were investing were kind of clear technology companies, software companies. But then some of them, you kind of dug into the business like, well, this probably wouldn't have been called a technology company 20 years ago. It wouldn't have had that element to what it's doing. Maybe it would have been called publishing or something else like that.

So it just kind of made me think that it gets to the point where McCoy, who, like you say, is probably a good example of that has such a large technology component to what they're doing. It's not just what they're doing. They obviously have a lot of hardware manufacturing as well, but you can maybe say that they're 30% technology or 50%. And then that kind of bumps it up and eventually gets to the point where what is technology is kind of a lot of different things that kind of covers almost everything, you know, to some extent or other. So yeah, I think that's a real trend. And I think the other thing that kind of made me think about that was Buffett himself, who

avoided technology, whatever that meant, over the years that he was investing. And then he started investing in things like Apple and realized that actually that's a really good investment that totally fits inside his circle of competency. And lots of other things probably would have done through the way. And maybe his bias against technology kind of delayed him doing that. Yeah. And it kind of made me think you shouldn't be biased against technology. It can be uncertain. And there are cases where some businesses are uncertain, the technology aspect and high level of competition.

can be a factor, but there are a lot of businesses out there that are much more stable and much more solid than there would have been if they were technology companies 30 years ago or so.

So you also had this really good point about how technology-focused businesses today spend money on research and development to build things like you said, pools of data, networks of servers or lines of code. And an interesting thing to do with that is that traditional accounting standards doesn't really value these, but it's very clear, as you just said, that these areas can add a very, very significant amount of value to a business. And this point actually kind of makes me think of Adam Cecil's excellent book, Where the Money Is, where

His basic premise of his book was that he kind of needed to understand how tech businesses worked because it was financially dangerous not to. I really like how he worded that. And his point is that legacy accounting methods are kind of outdated now because it doesn't incorporate the value that's added in this R&D to the tech businesses today. So give me some more information on how you kind of incorporate that into your investing. Robert Leonard

Yeah, that's a really good point. I think a lot of people have started to, or more and more people have started to realize this. The, yeah, say 50 years ago, a company is building a widget or builds a factory to create the widget, to build the widget. Yeah. And that factory would have an asset value show up on the balance sheet. You know, nowadays you have software companies developing all kinds of very valuable tech assets effectively that don't really get valued correctly and the expenses that kind of go into creating them.

It was kind of just for loss, the balance sheets and get subtracted against the income statement then.

too aggressive a way you know some companies make adjustments for that you know use the accounting in the we think of as the right way but yeah i think that sort of lags a lot behind where these companies should be valued so you get a lot of much more asset-like businesses than you would have done in previous decades and it's only going that in that same direction you know maybe with the event of ai you'll have more data centers but still the ai technology itself still won't necessarily get valued in the right way so yeah one thing we do is um

And again, it's more an R, the science is difficult, but try and work out what components of the R&D, for example, expenses should be taken out and are really actually true income. And I think that comes down to a lot of things in the income statement. It's easy to think of the income statement as a very certain set of line items, but there's a huge amount of R rather than sides in terms of the numbers that take you from revenue to net profit. And I think this is one example of that where you should really just be accruing

those expenses over a much longer lifetime. And for a fast-growing business, that can have a huge impact in terms of the amount of expenses being recognized now for growth that's going to come five years down the line and create much more income. And a similar thing as well, not necessarily directly related to technology, but it can be with software, is the sales and marketing lines as well. The sales are produced now, particularly in the SaaS businesses, and that approach is

It can be generating income for a long period of times or for those kinds of businesses that could be a big effect as well. So taking those expenses out is often far too aggressive. So we make adjustments for that to try and normalize earnings. Often it's quite shocking the result that comes out that you find that something that looks fairly valued or a little bit too expensive turns out to be incredibly cheap. And then it's interesting because then as you follow that through the years, you see that actually starts to pan out that the income goes up and those expenses are starting to come through as having generated that growth that you see.

So Andrew, thank you so much for coming onto the show today and sharing your excellent insights with me and the audience. So I'd love to give you a handoff, you know, where can the audience learn more about you, read your shareholder letters? Yeah, well, yeah, just come to our website, I guess, fairlightcapital.com. We put information out on X as well. I'm starting to use other social media platforms a little bit as well. So yeah, under Fairlight Cap. So yeah, just continue to read our letters.

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