Tag Archives: Warren Buffett

Videos – Toby Carlisle, Q&A Notes at UC Davis Talk on Quantitative Value (@greenbackd, #QuantitativeValue)

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 preceeded 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.

Review – The Outsiders (#management, #capital, #business, @HarvardBiz)

The Outsiders: Eight Unconventional CEOs and Their Radically Rational Blueprint for Success (buy on Amazon.com)

by William N. Thorndike, Jr., published 2012

A “valueprax” review always serves two purposes: to inform the reader, and to remind the writer. Find more reviews by visiting the Virtual Library. Please note, I received a copy of this book for review from the publisher, Harvard Business Review Press, on a complimentary basis.

Capital allocation uber alles

“The Outsiders” rests on a premise, that the increase in a public company’s per share value is the best metric for measuring the success of a given CEO, which lends itself to the book’s major thesis: that superior capital allocation is what sets apart the best CEOs from the rest, and that most modern CEOs seem to be only partially aware, if at all, of its critical performance to their companies long-term business success.

Notice! This book is examining the efforts and measurements of CEOs of public companies, not all businesses (public and private), so as a result in comes up a bit short in the “universal application” department. Yes, capital allocation is still critical even in a private business, but you can not measure a private business’s per share value (because there isn’t a marketable security price to reference) and the CEO of a private company is missing one of the most powerful capital allocation tools available to public CEOs, the share buyback (because there is no free float for them to get their hands on at periodically irrational prices).

The CEO capital allocation toolkit

Thorndike describes five capital allocation choices CEOs have:

  1. invest in existing operations
  2. acquire other businesses
  3. issue dividends
  4. pay down debt
  5. repurchase stock

Along with this, they have three means of generating capital:

  1. internal/operational cash flow
  2. debt issuance
  3. equity issuance

With this framework, Thorndike proceeds to review the business decisions of 8 different “outsider” CEOs, so labeled because they tended to use these tools in a contrary fashion to the mainstream wisdom of their time and to much improved effect as per comparison to their benchmarks. Some of the CEOs are well known and oft mentioned and studied (Warren Buffett, John Malone, Kay Graham, Tom Murphy) and a few are known to the value cognoscenti but may have managed to escape notice of the wider public, academic or otherwise (Henry Singleton, Bill Anders, Bill Stirlitz and Dick Smith).

The author tries to tie together the various common threads, such as how,

All were first-time CEOs, most with very little prior management experience

and many of which (such as Singleton, Buffett and Graham) were large or majority equity holders in their companies, making them part of the vaunted owner-operator club with its resulting beneficial incentives.

Thorndike also tries to use the hedgehog vs. fox metaphor, claiming,

They had familiarity with other companies and industries and disciplines, and this ranginess translated into new perspectives, which in turn helped them to develop new approaches that eventually translated into exceptional results

Interestingly, the share buyback stands out as a particularly effective capital allocation tool for all and the author claims that during the difficult inflationary conditions and market depression of the 1974-1982 period,

every single one [emphasis in the original] was engaged in either a significant share repurchase program or a series of large acquisitions

In broad strokes, Thorndike’s efforts to paint these CEOs with a common brush works, but there are numerous times where his attempt to establish commonality  in genius comes across as forced and unworkable. Often, one of these CEOs will operate in a way inconsistent with Thorndike’s major thesis and yet he’ll end up praising the CEO anyway. In poker, we’d call this the “won, didn’t it?” fallacy– judging a process by the specific, short-term result accomplished rather than examining the long-term result of multiple iterations of the process over time.

Some quibbles

This is actually one of the things that rubbed me rather raw as I read the book. In every chapter, Thorndike manages to strike a rather breathless, hagiographic tone where these CEOs can do no wrong and everything they do is “great”, “fantastic,” etc. Unfortunately, this kind of hyperbolic language gets used over and over without any variety to the point it’s quite noticeable how lacking in detail and critical analysis Thorndike’s approach is at points.

Eventually, I reached a point where I almost wanted to set the book down, take a deep breath and say, “Okay… I get it, this guy is absolutely amazing… can we move on now?”

The editing seemed a bit sloppy, too. Thorndike is a graduate of Stanford and Harvard and runs his own financial advisory. He’s obviously an accomplished, intellectual person. Yet his prose often reads like an immature blog post. It’s too familiar and casual for the subject matter and the credentials of the author. I’m surprised they left those parts in during the editing process. I think it makes Thorndike’s thesis harder to take seriously when, in all likelihood, it’d probably be quite convincing if you happened to chat with the author on an airplane.

From vice to virtue

Something I liked about “The Outsiders” was the fact that there were 8 profiles, rather than one. It was reinforcing to see that the same principles and attitudes toward business and management were carried out by many different individuals who didn’t all know each other (though some did) and ALL had huge outperformance compared to their benchmark.

And I think for someone who is just jumping into the investing, management and agency problem literature, “The Outsiders” is a good place to start to get a broad outline of the major thesis which is that companies that are run by owner-operators, or by people who think like them, where the top management focuses on intelligently allocating capital to its highest use (which, oftentimes when the company’s stock remains stubbornly low compared to its estimated intrinsic value, makes buybacks in the public market the most intelligent option versus low margin growth) consistently outperform their peers and their benchmarks on a financial basis.

I think if this was one of the first books I had read on this theme, I would’ve found it quite illuminating and exciting, a real eye-opener experience. As it were, I read this book after reading a long train of other, often times significantly more comprehensive and detailed literature, so my personal experience was rather flat– I came away thinking I hadn’t learned much.

More to the story

There’s more to this story in two senses.

In the first sense, I actually highlighted many little comments or ideas throughout the book that are either helpful reminders or concepts I hadn’t fully considered myself yet, pertaining to best operational and management practices for businesses and the people who invest in them. In other words, the book is a little deeper than I bothered to share here. As a collection of anecdotes and principles for mastering the concept of capital allocation, it’s a good resource.

In the second sense, I think there’s a lot more to the success of the businessmen and their companies profiled (along with many others) than just good capital allocation. The text alludes to this with quotes from various figures about how they operated their businesses and managed people aside from the specific challenges of capital allocation. But it never goes into it because that isn’t in focus.

And as a business person myself, I know from my own reading, thinking and personal experience that capital allocation IS a critical factor in successfully managing and growing a business over the long-term — after all, if you can’t find good places to put your cash, you’ll inevitably end up wasting a lot of it — but you won’t have capital to allocate if you aren’t operating your business and managing your relationships with employees and customers well, in addition. The book just doesn’t do much in the way of explaining how it was that Ralston Purina, or General Dynamics or Teledyne or what have you, had so much capital to allocate in the first place.

Review – Quantitative Value (#valueinvesting, #quant, @greenbackd, @turnkeyanalyst)

Quantitative Value: A Practitioner’s Guide to Automating Intelligent Investment and Eliminating Behavioral Errors + website (buy on Amazon.com)

by Wesley R. Gray, PhD & Tobias E. Carlisle, LLB, published 2012

A “valueprax” review always serves two purposes: to inform the reader, and to remind the writer. Find more reviews by visiting the Virtual Library. Please note, I received a copy of this book for review from the publisher, Wiley Finance, on a complimentary basis.

The root of all investors’ problems

In 2005, renowned value investing guru Joel Greenblatt published a book that explained his Magic Formula stock investing program– rank the universe of stocks by price and quality, then buy a basket of companies that performed best according to the equally-weighted measures. The Magic Formula promised big profits with minimal effort and even less brain damage.

But few individual investors were able to replicate Greenblatt’s success when applying the formula themselves. Why?

By now it’s an old story to anyone in the value community, but the lesson learned is that the formula provided a ceiling to potential performance and attempts by individual investors to improve upon the model’s picks actually ended up detracting from that performance, not adding to it. There was nothing wrong with the model, but there was a lot wrong with the people using it because they were humans prone to behavioral errors caused by their individual psychological profiles.

Or so Greenblatt said.

Building from a strong foundation, but writing another chapter

On its face, “Quantitative Value” by Gray and Carlisle is simply building off the work of Greenblatt. But Greenblatt was building off of Buffett, and Buffett and Greenblatt were building off of Graham. Along with integral concepts like margin of safety, intrinsic value and the Mr. Market-metaphor, the reigning thesis of Graham’s classic handbook, The Intelligent Investor, was that at the end of the day, every investor is their own worst enemy and it is only by focusing on our habit to err on a psychological level that we have any hope of beating the market (and not losing our capital along the way), for the market is nothing more than the aggregate total of all psychological failings of the public.

It is in this sense that the authors describe their use of “quantitative” as,

the antidote to behavioral error

That is, rather than being a term that symbolizes mathematical discipline and technical rigor and computer circuits churning through financial probabilities,

It’s active value investing performed systematically.

The reason the authors are beholden to a quantitative, model-based approach is because they see it as a reliable way to overcome the foibles of individual psychology and fully capture the value premium available in the market. Success in value investing is process-driven, so the two necessary components of a successful investment program based on value investing principles are 1) choosing a sound process for identifying investment opportunities and 2) consistently investing in those opportunities when they present themselves. Investors cost themselves precious basis points every year when they systematically avoid profitable opportunities due to behavioral errors.

But the authors are being modest because that’s only 50% of the story. The other half of the story is their search for a rigorous, empirically back-tested improvement to the Greenblattian Magic Formula approach. The book shines in a lot of ways but this search for the Holy Grail of Value particularly stands out, not just because they seem to have found it, but because all of the things they (and the reader) learn along the way are so damn interesting.

A sampling of biases

Leaning heavily on the research of Kahneman and Tversky, Quantitative Value offers a smorgasbord of delectable cognitive biases to choose from:

  • overconfidence, placing more trust in our judgment than is due given the facts
  • self-attribution bias, tendency to credit success to skill, and failure to luck
  • hindsight bias, belief in ability to predict an event that has already occurred (leads to assumption that if we accurately predicted the past, we can accurately predict the future)
  • neglect of the base case and the representativeness heuristic, ignoring the dependent probability of an event by focusing on the extent to which one possible event represents another
  • availability bias, heavier weighting on information that is easier to recall
  • anchoring and adjustment biases, relying too heavily on one piece of information against all others; allowing the starting point to strongly influence a decision at the expense of information gained later on

The authors stress, with numerous examples, the idea that value investors suffer from these biases much like anyone else. Following a quantitative value model is akin to playing a game like poker systematically and probabilistically,

The power of quantitative investing is in its relentless exploitation of edges

Good poker players make their money by refusing to make expensive mistakes by playing pots where the odds are against them, and shoving their chips in gleefully when they have the best of it. QV offers the same opportunity to value investors, a way to resist the temptation to make costly mistakes and ensure your chips are in the pot when you have winning percentages on your side.

A model development

Gray and Carlisle declare that Greenblatt’s Magic Formula was a starting point for their journey to find the best quantitative value approach. However,

Even with a great deal of data torture, we have not been able to replicate Greenblatt’s extraordinary results

Given the thoroughness of their data collection and back-testing elaborated upon in future chapters, this finding is surprising and perhaps distressing for advocates of the MF approach. Nonetheless, the authors don’t let that frustrate them too much and push on ahead to find a superior alternative.

They begin their search with an “academic” approach to quantitative value, “Quality and Price”, defined as:

Quality, Gross Profitability to Total Assets = (Revenue – Cost of Goods Sold) / Total Assets

Price, Book Value-to-Market Capitalization = Book Value / Market Price

The reasons for choosing GPA as a quality measure are:

  • gross profit measures economic profitability independently of direct management decisions
  • gross profit is capital structure neutral
  • total assets are capital structure neutral (consistent w/ the numerator)
  • gross profit better predicts future stock returns and long-run growth in earnings and FCF

Book value-to-market is chosen because:

  • it more closely resembles the MF convention of EBIT/TEV
  • book value is more stable over time than earnings or cash flow

The results of the backtested horserace between the Magic Formula and the academic Quality and Price from 1964 to 2011 was that Quality and Price beat the Magic Formula with CAGR of 15.31% versus 12.79%, respectively.

But Quality and Price is crude. Could there be a better way, still?

Marginal improvements: avoiding permanent loss of capital

To construct a reliable quantitative model, one of the first steps is “cleaning” the data of the universe being examined by removing companies which pose a significant risk of permanent loss of capital because of signs of financial statement manipulation, fraud or a high probability of financial distress or bankruptcy.

The authors suggest that one tool for signaling earnings manipulation is scaled total accruals (STA):

STA = (Net Income – Cash Flow from Operations) / Total Assets

Another measure the authors recommend using is scaled net operating assets (SNOA):

SNOA = (Operating Assets – Operating Liabilities) / Total Assets

Where,

OA = total assets – cash and equivalents

OL = total assets – ST debt – LT debt – minority interest – preferred stock – book common equity

They stress,

STA and SNOA are not measures of quality… [they] act as gatekeepers. They keep us from investing in stocks that appear to be high quality

They also delve into a number of other metrics for measuring or anticipating risk of financial distress or bankruptcy, including a metric called “PROBMs” and the Altman Z-Score, which the authors have modified to create an improved version of in their minds.

Quest for quality

With the risk of permanent loss of capital due to business failure or fraud out of the way, the next step in the Quantitative Value model is finding ways to measure business quality.

The authors spend a good amount of time exploring various measures of business quality, including Warren Buffett’s favorites, Greenblatt’s favorites and those used in the Magic Formula and a number of other alternatives including proprietary measurements such as the FS_SCORE. But I won’t bother going on about that because buried within this section is a caveat that foreshadows a startling conclusion to be reached later on in the book:

Any sample of high-return stocks will contain a few stocks with genuine franchises but consist mostly of stocks at the peak of their business cycle… mean reversion is faster when it is further from its mean

More on that in a moment, but first, every value investor’s favorite subject– low, low prices!

Multiple bargains

Gray and Carlisle pit several popular price measurements against each other and then run backtests to determine the winner:

  • Earnings Yield = Earnings / Market Cap
  • Enterprise Yield(1) = EBITDA / TEV
  • Enterprise Yield(2) = EBIT / TEV
  • Free Cash Flow Yield = FCF / TEV
  • Gross Profits Yield = GP / TEV
  • Book-to-Market = Common + Preferred BV / Market Cap
  • Forward Earnings Estimate = FE / Market Cap

The result:

the simplest form of the enterprise multiple (the EBIT variation) is superior to alternative price ratios

with a CAGR of 14.55%/yr from 1964-2011, with the Forward Earnings Estimate performing worst at an 8.63%/yr CAGR.

Significant additional backtesting and measurement using Sharpe and Sortino ratios lead to another conclusion, that being,

the enterprise multiple (EBIT variation) metric offers the best risk/reward ratio

It also captures the largest value premium spread between glamour and value stocks. And even in a series of tests using normalized earnings figures and composite ratios,

we found the EBIT enterprise multiple comes out on top, particularly after we adjust for complexity and implementation difficulties… a better compound annual growth rate, higher risk-adjusted values for Sharpe and Sortino, and the lowest drawdown of all measures analyzed

meaning that a simple enterprise multiple based on nothing more than the last twelve months of data shines compared to numerous and complex price multiple alternatives.

But wait, there’s more!

The QV authors also test insider and short seller signals and find that,

trading on opportunistic insider buys and sells generates around 8 percent market-beating return per year. Trading on routine insider buys and sells generates no additional return

and,

short money is smart money… short sellers are able to identify overvalued stocks to sell and also seem adept at avoiding undervalued stocks, which is useful information for the investor seeking to take a long position… value investors will find it worthwhile to examine short interest when analyzing potential long investments

This book is filled with interesting micro-study nuggets like this. This is just one of many I chose to mention because I found it particularly relevant and interesting to me. More await for the patient reader of the whole book.

Big and simple

In the spirit of Pareto’s principle (or the 80/20 rule), the author’s of QV exhort their readers to avoid the temptation to collect excess information when focusing on only the most important data can capture a substantial part of the total available return:

Collecting more and more information about a stock will not improve the accuracy of our decision to buy or not as much as it will increase our confidence about the decision… keep the strategy austere

In illustrating their point, they recount a funny experiment conducted by Paul Watzlawick in which two subjects oblivious of one another are asked to make rules for distinguishing between certain conditions of an object under study. What the participants don’t realize is that one individual (A) is given accurate feedback on the accuracy of his rule-making while the other (B) is fed feedback based on the decisions of the hidden other, invariably leading to confusion and distress. B comes up with a complex, twisted rationalization for his  decision-making rules (which are highly inaccurate) whereas A, who was in touch with reality, provides a simple, concrete explanation of his process. However, it is A who is ultimately impressed and influenced by the apparent sophistication of B’s thought process and he ultimately adopts it only to see his own accuracy plummet.

The lesson is that we do better with simple rules which are better suited to navigating reality, but we prefer complexity. As an advocate of Austrian economics (author Carlisle is also a fan), I saw it as a wink and a nod toward why it is that Keynesianism has come to dominate the intellectual climate of the academic and political worlds despite it’s poor predictive ability and ferociously arbitrary complexity compared to the “simplistic” Austrian alternative theory.

But I digress.

Focusing on the simple and most effective rules is not just a big idea, it’s a big bombshell. The reason this is so is because the author’s found that,

the Magic Formula underperformed its price metric, the EBIT enterprise multiple… ROC actually detracts from the Magic Formula’s performance [emphasis added]

Have I got your attention now?

The trouble is that the Magic Formula equally weights price and quality, when the reality is that a simple price metric like buying at high enterprise value yields (that is, at low enterprise value multiples) is much more responsible for subsequent outperformance than the quality of the enterprise being purchased. Or, as the authors put it,

the quality measures don’t warrant as much weight as the price ratio because they are ephemeral. Why pay up for something that’s just about to evaporate back to the mean? [...] the Magic Formula systematically overpays for high-quality firms… an EBIT/TEV yield of 10 percent or lower [is considered to be the event horizon for "glamour"]… glamour inexorably leads to poor performance

All else being equal, quality is a desirable thing to have… but not at the expense of a low price.

The Joe the Plumbers of the value world

The Quantitative Value strategy is impressive. According to the authors, it is good for between 6-8% a year in alpha, or market outperformance, over a long period of time. Unfortunately, it is also, despite the emphasis on simplistic models versus unwarranted complexity, a highly technical approach which is best suited for the big guys in fancy suits with pricey data sources as far as wholesale implementation is concerned.

So yes, they’ve built a better mousetrap (compared to the Magic Formula, at least), but what are the masses of more modest mice to do?

I think a cheap, simplified Everyday Quantitative Value approach process might look something like this:

  1. Screen for ease of liquidity (say, $1B market cap minimum)
  2. Rank the universe of stocks by price according to the powerful EBIT/TEV yield (could screen for a minimum hurdle rate, 15%+)
  3. Run quantitative measurements and qualitative evaluations on the resulting list to root out obvious signals to protect against risk of permanent loss by eliminating earnings manipulators, fraud and financial distress
  4. Buy a basket of the top 25-30 results for diversification purposes
  5. Sell and reload annually

I wouldn’t even bother trying to qualitatively assess the results of such a model because I think that runs the immediate and dangerous risk which the authors strongly warn against of our propensity to systematically detract from the performance ceiling of the model by injecting our own bias and behavioral errors into the decision-making process.

Other notes and unanswered questions

“Quantitative Value” is filled with shocking stuff. In clarifying that the performance of their backtests is dependent upon particular market conditions and political history unique to the United States from 1964-2011, the authors make reference to

how lucky the amazing performance of the U.S. equity markets has truly been… the performance of the U.S. stock market has been the exception, not the rule

They attach a chart which shows the U.S. equity markets leading a cohort of long-lived, high-return equity markets including Sweden, Switzerland, Canada, Norway and Chile. Japan, a long-lived equity market in its own right, has offered a negative annual return over its lifetime. And the PIIGS and BRICs are consistent as a group in being some of the shortest-lifespan, lowest-performing (many net negative real returns since inception) equity markets measured in the study. It’s also fascinating to see that the US, Canada, the UK, Germany, the Netherlands, France, Belgium, Japan and Spain all had exchanges established approximately at the same time– how and why did this uniform development occur in these particular countries?

Another fascinating item was Table 12.6, displaying “Selected Quantitative Value Portfolio Holdings” of the top 5 ranked QV holdings for each year from 1974 through 2011. The trend in EBIT/TEV yields over time was noticeably downward, market capitalization rates trended upward and numerous names were also Warren Buffett/Berkshire Hathaway picks or were connected to other well-known value investors of the era.

The authors themselves emphasized that,

the strategy favors large, well-known stocks primed for market-beating performance… [including] well-known, household names, selected at bargain basement prices

Additionally, in a comparison dated 1991-2011, the QV strategy compared favorably in a number of important metrics and was superior in terms of CAGR with vaunted value funds such as Sequoia, Legg Mason and Third Avenue.

After finishing the book, I also had a number of questions that I didn’t see addressed specifically in the text, but which hopefully the authors will elaborate upon on their blogs or in future editions, such as:

  1. Are there any reasons why QV would not work in other countries besides the US?
  2. What could make QV stop working in the US?
  3. How would QV be impacted if using lower market cap/TEV hurdles?
  4. Is there a market cap/TEV “sweet spot” for the QV strategy according to backtests? (the authors probably avoided addressing this because they emphasize their desire to not massage the data or engage in selection bias, but it’s still an interesting question for me)
  5. What is the maximum AUM you could put into this strategy?
  6. Would more/less rebalancing hurt/improve the model’s results?
  7. What is the minimum diversification (number of portfolio positions) needed to implement QV effectively?
  8. Is QV “businesslike” in the Benjamin Graham-sense?
  9. How is margin of safety defined and calculated according to the QV approach?
  10. What is the best way for an individual retail investor to approximate the QV strategy?

There’s also a companion website for the book available at: www.wiley.com/go/quantvalue

Conclusion

I like this book. A lot. As a “value guy”, you always like being able to put something like this down and make a witty quip about how it qualifies as a value investment, or it’s intrinsic value is being significantly discounted by the market, or what have you. I’ve only scratched the surface here in my review, there’s a ton to chew on for anyone who delves in and I didn’t bother covering the numerous charts, tables, graphs, etc., strewn throughout the book which serve to illustrate various concepts and claims explored.

I do think this is heady reading for a value neophyte. And I am not sure, as a small individual investor, how suitable all of the information, suggestions and processes contained herein are for putting into practice for myself. Part of that is because it’s obvious that to really do the QV strategy “right”, you need a powerful and pricey datamine and probably a few codemonkeys and PhDs to help you go through it efficiently. The other part of it is because it’s clear that the authors were really aiming this book at academic and professional/institutional audiences (people managing fairly sizable portfolios).

As much as I like it, though, I don’t think I can give it a perfect score. It’s not that it needs to be perfect, or that I found something wrong with it. I just reserve that kind of score for those once-in-a-lifetime classics that come along, that are infinitely deep and give you something new each time you re-read them and which you want to re-read, over and over again.

Quantitative Value is good, it’s worth reading, and I may even pick it up, dust it off and page through it now and then for reference. But I don’t think it has the same replay value as Security Analysis or The Intelligent Investor, for example.

This One Is Personal

The year 2012 has come and gone, but what do I have to show for it?

From a blogging standpoint, 173 new posts, quite a few of which were one-line quotes of interest but many more still were comprehensive book reviews or annotated videos and other reference materials related to business, investing and other subjects.

But this isn’t about what I accomplished on my blog, because if you want to know what I accomplished on my blog all you need to do is read it. No, this is a retrospective on one area of the life I lived this year past.

A little bit of background is in order: in the last quarter of 2011, I voluntarily left a position in the investment industry and changed my geographic location by several thousand miles, as well. At the time I made the decision, I was not sure what I would do next with myself nor where, exactly, I thought I was going in a general sense. I took a temporary position in sales because it was a professional environment that had always interested me and involved a skill set I did not possess but which I had always hoped to acquire. That got me through to the end of 2011, at which point I decided a break was in order so that I could rest, reset and ponder redirection for my life.

What transpired approximately a week into my mini-sabbatical was fortuitous– I received an e-mail from a good friend encouraging me to visit CSInvesting.org (it was but a mere shadow of itself then, hosted on a WordPress.com subdomain just like this esteemed journal) as a good resource for learning more about investing. What’s fortuitous is not just the fact that he sent it, and the timing, but also the fact that I followed through and visited it immediately, rather than letting it languish in my inbox for weeks or, worse, giving it a cursory glance and then ignoring it just so I had the mental satisfaction that I wasn’t ignoring the suggestions of my friends.

I feel comfortable in admitting that reading that blog changed my life, for the better (or at least “for the different”, but the different was undeniably good). My mind started racing in a million directions at once and a path revealed itself to me at a time I was ready and willing to take the first step. I ended up exchanging correspondence with the proprietor, John Chew, and also made notes of some of his most profound comments later on the blog. If you joined the audience sometime after January of 2012 and haven’t yet read it, I encourage you to do so now.

Taking the motivation and principles I derived from reading CSInvesting.org and combining them with a specific strategy shared with me by a close friend from back home called the “personal MBA” for short, I set out to make the next 12 months a self-guided deep-dive into all things investing and business. I began developing a reading list, which was added to repeatedly as the year wore on, and shipped small libraries-worth of books on the subject to myself to read, annotate and review. The results of those efforts so far can be found in the Virtual Library.

However, this was really just the kickstart. The principle I had come to adopt in this time was that life is a journey, not a place, and personal growth and development and sound investment strategy are no different. The idea is to create a process and fine-tune it with each pass through. You have no final destination and your ultimate control over the result at any given moment in time is not total and often limited. All you can do is focus on that which you do have control over, the process you employ, and improve it as much and as many times as you can.

The Personal MBA, my twelve month commitment to an intensive course of self-study in business and value investing, was just a process for learning and growing (which itself is a process for living). I modified it numerous times along the way, adding some elements and dropping others. At all times, life-at-large intervened in numerous and chaotically unpredictable ways and I learned to course correct along the way. I knew that, come December, I wouldn’t have  come to the end but just another beginning.

As I set out down the path of 2013, I’ve got an idea of some of the sights I’d like to see and I have a general sense of the direction I am heading. Phrased differently, I know what processes I’d like to make a part of my life in the future, and I have an idea of what processes I can use to increase the likelihood they eventually become integrated into my life.

I plan to continue learning about business and investing. I’ve also taken on new professional responsibilities which will afford me additional opportunities to learn, observe and practice, as I am now involved in operational management at a large-scale retail concern. However, a lot of my time will be consumed by these efforts so I have had to adapt my process to the concomitantly reduced time and attention inventory I now possess. This is not a year where I’ll be able to pull off another Personal MBA-type effort, in other words, as far as my investment study process is concerned.

In 2012, I lacked courage and conviction when it came to practicing the art of business and investing. Now that the year is behind me, I am confident that my theoretical knowledge is built on a sound and deep foundation. This coming year is the year of action, of taking that knowledge and putting it in practice, much more so than I managed to do so in 2012. Following the 80/20 principle, I believe I’ve covered the 80% of the literature and resources that are valuable and the remaining 20% are not as worthy of my time. Now I’d like to spend 80% of my time practicing and only 20% reading and thinking.

Value investors talk a lot about the example of Warren Buffett. Something I rarely hear mentioned is the fact that Buffett has spent an inordinate amount of time simply looking at stuff: rejecting the multitude of bad deals, getting tangible experience with the good ones and learning to identify the difference between the two so thoroughly that he had developed an intuitive pattern memory so that the contrast of a good opportunity began to leap off the page at him when he came across it.

That’s what I am missing right now as an investor and businessman (one thing, anyway), and that’s what 2013 is going to be partly about getting.

Notes – Buffett Partnership Letters, 1957-1970 (#valueinvesting)

Recently I sank into my overstuffed armchair (in this situation, “sank” is used derisively to connote frustration and discomfort with regards to ideal reading conditions) with a copy of Buffett’s partnership letters from the 1957-1970 period in my hands. I found them on CSInvesting.org and had never taken the time to read them before, but figured it was about time as I was curious to consult a primary source on this period of Buffett’s investment career, having already read a 3rd-party recounting in The Snowball.

My interest was to read critically. Buffett’s letters have been read and analyzed and mulled over by thousands of investors and business people and have been discussed ad nauseum. But everyone seems to come away with the same lessons and the same pithy quotes that they throw up on their blogs when appropriate. I wanted to see if I could find anything original. From my own set of knowledge and understanding of Buffett and “how he did it”, I achieved my goal, but I can not guarantee creativity to anyone else who may be reading this. Somehow, somewhere in some overlooked nook of this vast interweb, I may have missed the discussion where someone went over these exact points.

Market timing, or the “value climate”

Amongst value investors, the sin of attempting to time the market is considered to be one of the greatest (for example, see the special note at the end of my recent review of The Intelligent Investor). Luminaries like Graham warn us that attempting to jump in and out of the markets according to their perceived price level being high or low is a speculative activity that will be rewarded as such, which is to say, it’ll eventually end in disaster.

However, while value gurus like Graham warned against market timing as a primary tool of analysis in an investment program, it’s also true that both Graham and Buffett were nonetheless intimately aware of market valuations and sentiment and both of them discussed the way their perception of market valuation influenced their portfolio orientation at any given time. For Graham and his intelligent investors, the response was to weight the portfolio toward bonds and away from stocks when the market was high and the opposite when the market was low. Similarly, Buffett advised in his 1957 letter:

If the general market were to return to an undervalued status our capital might be employed exclusively in general issues… if the market should go considerably higher our policy will be to reduce our general issues as profits present themselves and increase the work-out portfolio

This quote alone, along with many others just like it throughout the partnership letters, makes it clear the Buffett did not ignore broad market valuations. And not only did he not ignore them, he actively manipulated his portfolio in response to them. However, there are a few key things to note in terms of the heavily nuanced differences between what Buffett did and what the average market timer does:

  • Market timers are forecasters, they act on a perceived market level because of their anticipation about future market levels; Buffett refused to speculate about what the future of the market level might be and instead accepted it for what it was, changing what he owned and in what proportions, not whether he was invested or uninvested
  • Market timers are binary, choosing between “risk on” or “risk off”; Buffett responded to higher market levels by seeking to gain greater exposure to market neutral opportunities (special situations revolving around corporate action) while still continuing to make investments in individual undervalued businesses as he found them
  • Market timers always maintain the illusion of “full control” knowing they can always sell out or buy in any time they like in response to market valuations; Buffett acknowledged that many times he might desire to have greater market neutral exposure but that such opportunities might dry up in the late stages of a bull market, dashing his plans

The importance of relative performance

Another concept of Buffett’s money management style that stood out was his obsession with relative performance. I found this interesting again because the orthodox value investment wisdom is that it is not relative, but absolute, performance which matters– if you permanently lose a portion of your capital in a period, but your loss is smaller than your benchmark, you’ve still lost your capital and this is a bad thing.

Again, from the 1957 letter, Buffett turned this idea on its head:

I will be quite satisfied with a performance that is 10% per year better than the [Dow Jones Industrial] Averages

Because Buffett calculated that over the long-term the DJIA would return 5-7% to shareholders including dividends, Buffett was aiming for a 15-17% per annum performance target, or about 3x the performance of the Dow. But, as always, there was an important twist to this quest for relative out performance. In his 1962 letter, Buffett stated in no uncertain terms:

I feel the most objective test as to just how conservative our manner of investing is arises through evaluation of performance in down markets. Preferably these should involve a substantial decline in the Dow. Our performance in the rather mild declines of 1957 and 1960 would confirm my hypothesis that we invest in an extremely conservative manner

He went on to say:

Our job is to pile up yearly advantages over the performance of the Dow without worrying too much about whether the absolute results in a given year are a plus or a minus. I would consider a year in which we were down 15% and the Dow declined 25% to be much superior to a year when both the partnership and the Dow advanced 20%

And he concluded by noting:

Our best years relative to the Dow are likely to be in declining or static markets. Therefore, the advantage we seek will probably come in sharply varying amounts. There are bound to be years when we are surpassed by the Dow, but if over a long period we can average ten percentage points per year better than it, I will feel the results have been satisfactory.

Specifically, if the market should be down 35% or 40% in a year (and I feel this has a high probability of occurring in one year in the next ten– no one knows which one), we should be down only 15% or 20%. If it is more or less unchanged during the year, we would hope to be up about ten percentage points. If it is up 20% or more, we would struggle to be up as much

In his 1962 letter, he added further detailing, sharing:

Our target is an approximately 1/2% decline for each 1% decline in the Dow and if achieved, means we have a considerably more conservative vehicle for investment in stocks than practically any alternative

Why did Buffett focus so much on relative out performance in down years? Because, as a value investor, he was obsessed with permanent loss of capital. In a broad sense, making money in the market is somewhat easy as over long periods of time as the market has historically tended to rise higher and higher. Every now and then, however, it corrects sharply to the downside and it is in these moments when the average investor panics and sells out at a loss, thereby permanently impairing his capital.

Buffett believed that by buying at a discount and taking a more conservative approach to the investment problem from the outset, he would limit any losses he might sustain in the inevitable downturns in the market. This by itself would put him ahead of other market participants because he’d have more of his capital intact. The real power behind this strategy is what comes afterward, as then the just-as-inevitable recovery would continue the compounding process again– with more of his original capital than the other guy, Buffett would enjoy greater pure gain over time as he would have a relatively shallower hole to climb out of each time.

True Margin of Safety: two pillars of value

Fellow value investor Nate Tobik over at OddballStocks.com has talked repeatedly about one of Ben Graham’s concepts which he refers to as the “two pillars of value”, namely, that a company which represents a bargain both on the basis of a discount to net assets and a discount earnings is the most solid Margin of Safety one can possess because you’re not only protected two ways but you also have two ways to “win.”

Reading the Buffett partnership letters, it’s clear that the reason Buffett was knocking it out of the park in his early years was because he relied upon the same methodology. Buffett later was critical of his own early practices and many others have derided the investment style as akin to picking up soggy cigar butts and taking the last puff before discarding them, but there is no denying in studying several of the investments Buffett disclosed that Buffett was buying things which were “smack you over the head” cheap.

For example, in the 1958 letter, Buffett disclosed the partnerships’ investment in Commonwealth Trust Company of New Jersey, a small bank. Buffett claimed the company had a computed per share intrinsic value of $125, which was earning $10/share and trading for $50. This meant that Buffett bought the company for 40% of book value, or at a 60% margin of safety to indicated value. And, in two pillar tradition, he was also buying at a 5x multiple of net earnings– by any standards, an incredibly cheap value. If one were to look at the company as a bond and study it’s earnings yield, this company was offering a 20% coupon!

Making good buys, not good sales

In the example of Commonwealth Trust Co. discussed earlier, though Buffett calculated an intrinsic value of $125/share, he ultimately sold for only $80/share. He did not sell out near intrinsic value but rather far below it. Still, because he had originally bought at $50/share, he nonetheless earned a 60% return despite the company trading at a still-substantial discount to intrinsic value.

As Buffett chirped in his 1964 letter:

Our business is making excellent purchases– not making extraordinary sales

Why does Buffett harp on this idea so frequently? There are a few reasons.

One, an excellent purchase price implies a substantial discount to intrinsic value and earnings power, therefore there is a built-in margin of safety and the downside is covered, a principle of central importance to sound investing.

Two, an individual has 100% control over when they buy a security but relatively little control over when and in what conditions they sell, particularly if they use margin. You may not always get the price you want when you are ready to sell but you will always get the price you want when you buy because that decision is made entirely by you and doesn’t require the cooperation of anyone else. Buying at a discount ensures you “lock in” a profit up front.

Three, buying at a discount gives one optionality. If a better deal comes along, it is more likely you can get back out of your original investment at cost or better when you buy it cheap. When your original purchase price represents a substantial discount you have a better chance of finding a buyer for your shares because even at higher prices such a sale would probably still represent a bargain to another buyer meaning both parties can feel good about the exchange.

This last point was critical in Buffett’s Commonwealth situation. He was happy to sell at only $80/share despite a $125/share intrinsic value because he had found another opportunity that was even more compelling and because his original purchase price was so low, he still generated a 60% return. Meanwhile, the other party who took this large block off his hands was happy to provide the liquidity because they still had a 56% upside to look forward to at that $80/share price.

Early activism, the value of control

Another lesson from Buffett’s partnership letters is the importance and value of activism and control. From an activism standpoint, the examples of Sanborn Maps and Dempster Mills are well-known and don’t require further elaboration in this post (follow the links for extensive case study analysis at CSInvesting.org, or even read Buffett’s partnership letters yourself to see his explanation of how these operations worked).

But activism is something that is best accomplished with control, and often is its by-product. On the topic of control, Buffett said in his 1958 letter with regards to Commonwealth:

we became the second largest stockholder with sufficient voting power to warrant consultation on any merger proposal

By gaining a large ownership share in an undervalued company, an investor can play a more active role in ensuring that potential catalysts which might emerge serve to adequately reward shareholders. Similarly, time is money and when one has control,

this has substantial advantages many times in determining the length of time required to correct the undervaluation

An investment situation offering, say, a 30% return, offers a 30% annualized return if captured within a year, a 15% annualized return if gained after two years and only a 10% annualized return if it takes 3 years to realize value. Having control can often be the difference between a 30% and a 10% annualized return by allowing an investor to accelerate the pace at which they turn over their capital.

It is a myth, therefore, that Buffett only became a wholesale/control buyer as he employed greater amounts of capital in his later years. While many of his investments were passive, minority positions in the partnership years, Buffett never shied away from control and activism, even saying in his 1961 letter:

Sometimes, of course, we buy into a general with the thought that it might develop into a control situation. If the price remains low enough for a long period, this might very well happen

In this sense, “value is its own catalyst” and something which is cheap and remains cheap for an extended period of time can actually be a unique opportunity to accumulate enough shares to acquire control, at which point the value can be unlocked through asset conversion, a sale or merger of the company or through a commandeering of the company’s earnings power.

Portfolio buckets: generals, work-outs and control

In his 1961 letter, as well as later letters, Buffett outlined the three primary types of investments that could be found in the partners’ portfolios, the approximate proportion of the portfolio to be involved with each and the basis upon which such investments should be chosen.

The “bread and butter” according to Buffett was his “generals”, businesses trading at substantial discounts to their intrinsic value which were purchased with the intent of eventually being resold at a price closer to the intrinsic value:

our largest category of investment… more money has been made here than in either of the other categories… We usually have fairly large positions (5% to 10% of our total assets) in each of five or six generals, with smaller positions in another ten or fifteen… Sometimes these work out very fast; many times they take years. It is difficult at the time of purchase to know any specific reason why they should appreciate in price… individual margin of safety coupled with a diversity of commitments creates a most attractive package of safety and appreciation potential… [we] are usually quite content selling out at some intermediate level between our purchase price and what we regard as fair value to a private owner

While admitting that the particular and eventual catalyst was often not known with the average investment in a general security, Buffett also admitted in his 1963 “Ground Rules” letter section:

Many times generals represent a form of “coattail riding” where we feel the dominating stockholder group has plans for the conversion of unprofitable or under-utilized assets to a better use

The next category was workouts:

our second largest category… ten or fifteen of these [at various stages of development]… I believe in using borrowed money to offset a portion of our work-out portfolio since there is a high degree of safety in this category in terms of both eventual results and intermediate market behavior

The beauty of work-outs is that they relied on corporate action, not market action, to realize value. In this sense, they could provide a meaningful buffer to share price declines in generals during bear markets as their performance was largely “market neutral.” For example, in his 1963 (1962 being a bear market) letter Buffett said:

This performance is mainly the result of having a large portion of our money in controlled assets and workout situations rather than general market situations at a time when the Dow declined substantially

The final category was control, which started out as something of an after-thought or an accidental consequence of investing in certain generals which remained cheap, but later turned into an active category Buffett would search for opportunities in.

Buffett also mentioned the idea of the “two-way stretch” in control situations– if bought at a significant discount, there were generally two ways to profit from a control investment. Either the stock price remained low for a long period of time and control was acquired, in which case “the value of our investment is determined by the value of the enterprise,” or else the stock would move up in the process of consolidating a position in which case it could be sold at a higher level in the way one would normally “complete a successful general operation.”

Time horizons for performance

This particular point is more well-known but it bears repeating here. Buffett was obsessed with long-term performance and constantly advised his partners about appropriate timelines for judging investment performance, especially based-upon the particular type of investment being considered. For example, in his 1960 letter he said:

My own thinking is more geared to five year performance, preferably with tests of relative results in both strong and weak markets

In the 1961 letter, Buffett discussed “establishing yardsticks prior to the act” and again emphasized:

It is my feeling that three years is a very minimal test of performance, and the best test consists of a period at least that long where the terminal level of the Dow is reasonably close to the initial level

In other words, what did your performance look like after a three year period where the broad market index made no progress, or even reversed?

With control situations specifically, Buffett advised:

Such operations should definitely be measured on the basis of several years. In a given year, they may produce nothing as it is usually to our advantage to have the stock be stagnant market-wise for a long period while we are acquiring it

Diversification

It’s clear that Buffett had 15-21 “generals” or about 50-60% of his portfolio, with another 10-15 positions in workouts or another 15-30%, with the remainder in control situations. However, control situations could scale up to as much as 40% of the portfolio in an individual investment if the situation called for it in Buffett’s mind.

And while Buffett mentioned in an earlier letter of having approximately 40 positions in the portfolio in total, he later (around the time he started being influenced by Charlie Munger and other “quality over quantity” investment practitioners) became more critical of the idea of diversification. In the 1966 letter, Buffett lamented:

if anything, I should have concentrated slightly more than I have in the past

He also castigated “extreme diversification”:

The addition of the one hundredth stock simply can’t reduce the potential variance in portfolio performance sufficiently to compensate for the negative effect its inclusion has in the overall portfolio expectation

Buffett was learning the merits of “concentration” in areas outside the portfolio, as well. In discussing slight additions to the office space at Kiewit Plaza and the hiring of additional support personnel, Buffett added:

I think our present setup unquestionably lets me devote a higher percentage of my time to thinking about the investment process than virtually anyone else in the money management business

Of course, the results of this focus were obvious to all in time.

Sizing things up

Buffett dwelled on “the question of size” at length in his letters to partners. He made it clear that portfolio size and investment opportunity looked something like a continuum with small size on the left of the spectrum and large size on the right, with “generals” hanging near the left pole (size is a disadvantage), workouts inhabiting some kind of middle ground where they were neither benefitted nor impaired by size and control situations distinctly on the right where size was an enormous advantage.

Generals and control situations are, in this sense, almost opposites because Buffett warned that some generals were too small to buy meaningful stakes in for a large portfolio, whereas a small portfolio might never be able to acquire enough shares to gain control of certain investments.

Inflation-adjusting Buffett’s portfolio positions and capital at various points in time also gives important clues to the role size played in his operations. For example, Sanborn Maps was apparently around a $4.5M market cap when he mentioned the company in his letters. This would be about $35M or so in today’s dollars (this is not an endorsement of BLS/CPI measurement techniques, just a convenient rule-of-thumb), so clearly Buffett was hunting in a small/micro-cap space at least at this time.

In a similar vein, Buffett started with $105,000 in capital in 1956, which is about $893,000 in 2012. In his 1966 letter, he complained that the amount of capital being managed at the time, $43,645,000, was beginning to be burdensome in terms of size versus opportunities. This would be about $312,000,000 in 2012, to put it into perspective.

Apparently, the value investment framework Buffett created could work quite well even at a scale that we might consider to be decently large.

Serendipity: the reason for Buffett’s rise, and retirement

Few ever think to mention the incredible role serendipity played in Buffett’s early fortunes, but Buffett himself was well-aware. Not only did he begin his career at the outset of an astounding decade-long-plus bull market, but in 1952,

and for some years subsequently, there were substantial numbers of securities selling at well below the “value to a private owner” criterion we utilized for selection of general market investments

As the bull market started to grow gray hairs in the late 1960s and Buffett began contemplating an exit from the business, he similarly remarked in his 1967 letter:

Such statistical bargains have tended to disappear over the years. This may be due to the constant combing and recombing of investments that has occurred during the past twenty years, without an economic convulsion such as that of the ’30s to create a negative bias toward equities and spawn hundreds of new bargain securities

The comment on the aftermath of the 1930s bears repeating. The primary reason for the prevalence of bargain issues in the market around the time Buffett started investing was due to a massive psychological paradigm shift in attitudes about the stock market following the crash of 1929 and subsequent depression of the 1930s. By the late 1960s, a new inflationary thrust had managed to erase this psychology and great gains were actually made in sending it in the reverse direction. Buffett was convinced of

the virtual disappearance of the bargain issues determined quantitatively

the kind whose figures “should hit you over the head with a baseball bat”, which were being replaced by

speculation on an increasing scale

So how did Buffett respond to these new market conditions where his toolkit didn’t seem to work as well? Did he compromise his standards, or try to shape-shift his style into the “New Era” of investors and keep going? Well, anyone who has studied Buffett already knows the answer. Buffett knew his circle of competence and he knew what worked. When what he knew worked stopped working (because the opportunities weren’t available), he quit.

Despite writing in his 1968 letter that the answer to a potential phase out of the partnerships was “Definitely, no.” Buffett nonetheless in his 1969 letter suggested that “the quality and quantity of ideas is presently at an all time low” and that “opportunities for investment that are open to the analyst who stresses quantitative factors have virtually disappeared” and for this reason, he decided to close up shop.

There’s a lesson for all of us here. As Joel Greenblatt has argued, value investing doesn’t work all the time, which is why it works. We should respect this, just as Buffett did– when the deals dry up, we should go fishing (or at the very least, look for bargains in other markets that are in a different stage of psychology/sentiment/valuation). Trying to make great long-term returns when valuations won’t support it is a fools game and more likely to end in failure.

A few miscellaneous notes

In the 1968 letter, Buffett referred to 10-12% as “worthwhile overall returns on capital employed”.

With regards to dividends, although Buffett always described the return of the Dow for each annual period inclusive of dividends earned, and although when describing his investment in Commonwealth he specifically mentioned that the company was not paying dividends, and although we know from an anecdote in The Snowball that Buffett was receiving substantial dividend checks from his partnership portfolios because his wife Susie accidentally through a few away one time, I noticed that Buffett makes no specific mention in any of the letters of the importance of dividends nor that dividends impacted his investment decisions or philosophy.