Video – Toby Carlisle, Q&A Notes at UC Davis Talk on Quantitative Value

Click here to watch the video (wear earphones and bring a magnifying glass)

UC Davis/Farnam Street Investments presents Toby Carlisle, founder and managing partner of Eyquem Investment Management and author of Quantitative Value, with Wes Gray.

Normally I’d embed a video but I can’t seem to do that with the UC Davis feed. Also, these are PARAPHRASED notes to the Q&A portion of Toby’s talk only. I ignored the “lecture” portion which preceded because I already think I get the gist of it from the book. I was mostly interested in covering his responses to the Q&A section.

The video is extremely poor quality, which is a shame because this is a great talk on a not-so-widely publicized idea. I wish there was a copy on YouTube with better audio and zoom, but no one put such a thing up, if it exists. I hope Toby does more interviews and talks in the future… hell, I’d help him put something together if it resulted in a better recording!

I had trouble hearing it and only thought to plug in some earbuds near the end. Prior to that I was contending with airplanes going overhead, refrigerator suddenly cycling into a loud cooling mode as well as my laptop’s maxed out tinny speakers contending with the cooling fans which randomly decided to cycle on and off at often the most critical moments. I often didn’t catch the question being asked, even when it wasn’t muffled, and chose to just focus on Toby’s response, assuming that the question would be obvious from that. That being said, I often conjoined questions and responses when there was overlap or similarity, or when it was easier for me to edit. This is NOT a verbatim transcript.

Finally, Toby recently created a beta forum for his book/website, at the Greenbackd Forum and I realize now in reviewing this talk that a lot of the questions I asked there, were covered here in my notes. I think he’s probably already given up on it, likely due to blockheads like me showing up and spamming him with simpleton questions he’s answered a million times for the Rubed Masses.

Major take-aways from the interview:

Q: Could we be in a “New Era” where the current market level is the “New Mean” and therefore there is nothing to revert to?

A: Well that’s really like saying stocks will revert down, not up. But how could you know? You could only look at historical data and go off of that, we have no way to predict ahead of time whether this “New Mean” is the case. I think this is why value investing continues to work, because at every juncture, people choose to believe that the old rules don’t apply. But the better bet has been that the world changes but the old rules continue to apply.

Q: So because the world is unknowable, do you compensate by fishing in the deep value ponds?

A: I like investing in really cheap stocks because when you get surprises, they’re good surprises. I find Buffett stocks terrifying because they have a big growth component in the valuation and any misstep and they get cut to pieces; whereas these cheap stocks are moribund for the most part so if you buy them and something good happens, they go up a lot.

Q: (muffled)

A: If you look at large cap stocks, the value effect is not as prevalent and the value premia is smaller. That’s because they’re a lot more efficient. There’s still only about 5% of AUM invested in value. But the big value guys portfolios look very similar; the value you have as a small investor is you don’t have to hold those stocks. So you can buy the smaller stuff where the value premia is larger. The institutional imperative is also very real. The idea of I’d like to buy 20 stocks, but I have to hold 45. That pushes you away from the optimal holdings for outperformance.

Q: (muffled)

A: The easiest way to stand out is to not run a lot of money. But no one wants to do that, everyone wants to run a lot of money.

Q: (muffled)

A: The model I follow is a bit more complicated than the Magic Formula. But there are two broad differences. I only buy value stocks, I only buy the cheapest decile and I don’t go outside of it, and then I buy quality within that decile. ROIC will work as a quality metric but only within the cheapest decile. ROIC is something Buffett talks about from a marketing perspective but I think in terms of raw performance it doesn’t make much sense. There’s definitely some persistence in ROIC, companies that have generated high returns on invested capital over long periods of time, tend to continue to do that.  If you have Warren Buffett’s genius and can avoid stepping on landmines, that can work. But if you don’t, you need to come up with another strategy.

Q: (muffled)

A: Intuition is important and it’s important when you’re deciding which strategy to use, but it’s not important when you’re selecting individual stocks. We can be overconfident in our assessment of a stock. I wonder whether all the information investors gather adds to their accuracy or to their confidence about their accuracy.

Q: (muffled)

A: All strategies have those periods when they don’t work. If you imagined you ran 4 different strategies in your portfolio, one is MF, one is cheap stocks, one of them is Buffett growth and one is special situations, and you just put a fixed amount of capital into each one [fixed proportion?] so that when one is performing well, you take the [excess?] capital out of it and put it into the one that is performing poorly, then you always have this natural rebalancing and it works the same way as equal-weighted stocks. And I think it’d lead to outperformance. It makes sense to have different strategies in the fund.

Q: (muffled)

A: QV says you are better off following an indexing strategy, but which market you index to is important. The S&P500 is one index you can follow, and there are simple steps you can follow to randomize the errors and outperform. But if you’re going to take those simple steps why not follow them to their logical conclusion and use value investing, which will allow you to outperform over a long period of time.

Q: (muffled)

A: Not everyone can beat the market. Mutual funds/big investors ARE the market, so their returns will be the market minus their fees. Value guys are 5% of AUM, can 5% outperform? Probably, by employing unusual strategies. Wes Gray has this thought experiment where he says if we return 20% a year, how long before we own the entire market? And it’s not that long. So there are constraints and all the big value investors find that once they get out there they all have the same portfolios so their outperformance isn’t so great. There’s a natural cap on value and it probably gets exceeded right before a bust. After a bust is then fertile ground for investment and that’s why you see all the good returns come right after the bust and then it trickles up for a period of time before there’s another collapse.

Q: (muffled)

A: I think the market is not going to generate great returns in the US, and I am not sure how value will do within that. That’s why my strategy is global. There are cheaper markets in other parts of the world. The US is actually one of the most expensive markets. The cheapest market in the developed world is Greece.

Q: Did you guys ever try to add a timing component to the formula? That might help you decide how to weight cash?

A: Yes, it doesn’t work. Well, we couldn’t get it to work. However, if you look at the yield, the yield of the strategy is always really fat, especially compared to the other instruments you could invest the cash in, so logically, you’d want to capture that yield and be fully invested. I think you should be close to fully invested.

Q: What about position sizing?

A: I equal weight. An argument can be made for sizing your cheaper positions bigger. I run 50 positions in the portfolio. In the backtest I found that was the best risk-adjusted risk-reward. That’s using Sortino and Sharpe ratios, which I don’t really believe in, but what else are you going to use? If you sized to 10 positions, you get better performance but it’s not better risk-adjusted performance. If you sized to 20 positions, you get slightly worse performance but better risk-adjusted performance. So you could make an argument for making a portfolio where your 5 best ideas were slightly bigger than your next 10 best, and so on, but I think it’s a nightmare for rebalancing. The stocks I look at act a little bit like options. They’re dead money until something happens and then they pop; so I want as much exposure to those as I can. I invest globally so the accounting regimes locally are a nightmare. IFRS, GAAP to me is foreign. You have to adjust the inputs to your screen for each country as a result of different accounting standards.

Q: digression

A: Japan is an interesting market. Everyone looks at Japan and sees the slump and says it’s terrifying investing in Japan but if you look at value in Japan, value has been performing really well for a really long time. So, if the US is in this position where it’s got a lot of govt debt and it’s going to follow a similar trajectory, you could look at Japan as a proxy and feel pretty good about value.

Q: (muffled)

A: I’ll take hot money, I am not in a position to turn down anyone right now. It’s a hard strategy [QV] to sell.

Q: (muffled)

A: Special situation investing is often a situation where you can’t find it in a screen, something is being spun out, you have to read a 10-K or 10-Q and understand what’s going to happen and then take a position that you wouldn’t be able to figure out from following a simple price ratio. It’s a good place to start out because it’s something you can understand and you can get an advantage by doing more work than everyone else. It’s not really correlated to the market. I don’t know whether it outperforms over a full cycle, but people don’t care because it performs well in a bad market like this.

Q: What kind of data do you use for your backtests?

A: Compustat, CRISP (Center for Research Into Securities Prices), Excel spreadsheets. You need expensive databases that have adjusted for when earnings announcements are made, that include adjustments that are made, that include companies that went bankrupt. Those kinds are expensive. They’re all filled with errors, that’s the toughest thing.

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