Tuesday, February 12, 2013

Warren Buffet's Columbia University Talk Upon the 50th Anniversary of 'Security Analysis' (he doesn't seem to have much use for EMH)

I was reminded of this oldie-but-goodie by a Tweedy Browne post that will probably go up tomorrow.

Reprinted from Hermes, the Columbia Business School Magazine:
May 17, 1984
THE SUPERINVESTORS OF

GRAHAM-AND-DODDSVILLE

Is the Graham and Dodd "look for values with a significant margin of safety relative to prices" approach to security analysis out of date? Many of the professors who write textbooks today say yes. They argue that the stock market is efficient; that is, that stock prices reflect everything that is known about a company's prospects and about the state of the economy. There are no undervalued stocks, these theorists argue, because there are smart security analysts who utilize all available information to ensure unfailingly appropriate prices. Investors who seem to beat the market year after year are just lucky. "If prices fully reflect available information, this sort of investment adeptness is ruled out," writes one of today's textbook authors. 

Well, maybe. But I want to present to you a group of investors who have, year in and year out, beaten the Standard & Poor's 500 stock index. The hypothesis that they do this by pure chance is at least worth examining. Crucial to this examination is the fact that these winners were all well known to me and pre-identified as superior investors, the most recent identification occurring over fifteen years ago. Absent this condition - that is, if I had just recently searched among thousands of records to select a few names for you this morning -- I would advise you to stop reading right here. I should add that all of these records have been audited. And I should further add that I have known many of those who have invested with these managers, and the checks received by those participants over the years have matched the stated records. 

Before we begin this examination, I would like you to imagine a national coin-flipping contest. Let's assume we get 225 million Americans up tomorrow morning and we ask them all to wager a dollar. They go out in the morning at sunrise, and they all call the flip of a coin. If they call correctly, they win a dollar from those who called wrong. Each day the losers drop out, and on the subsequent day the stakes build as all previous winnings are put on the line. After ten flips on ten mornings, there will be approximately 220,000 people in the United States who have correctly called ten flips in a row. They each will have won a little over $1,000. 

Now this group will probably start getting a little puffed up about this, human nature being what it is. They may try to be modest, but at cocktail parties they will occasionally admit to attractive members of the opposite sex what their technique is, and what marvelous insights they bring to the field of flipping. 

Assuming that the winners are getting the appropriate rewards from the losers, in another ten days we will have 215 people who have successfully called their coin flips 20 times in a row and who, by this exercise, each have turned one dollar into a little over $1 million. $225 million would have been lost, $225 million would have been won. 

By then, this group will really lose their heads. They will probably write books on "How I turned a Dollar into a Million in Twenty Days Working Thirty Seconds a Morning." Worse yet, they'll probably start jetting around the country attending seminars on efficient coin-flipping and tackling skeptical professors with, " If it can't be done, why are there 215 of us?" 

By then some business school professor will probably be rude enough to bring up the fact that if 225 million orangutans had engaged in a similar exercise, the results would be much the same - 215 egotistical orangutans with 20 straight winning flips. 

I would argue, however, that there are some important differences in the examples I am going to present. For one thing, if (a) you had taken 225 million orangutans distributed roughly as the U.S. population is; if (b) 215 winners were left after 20 days; and if (c) you found that 40 came from a particular zoo in Omaha, you would be pretty sure you were on to something. 

So you would probably go out and ask the zookeeper about what he's feeding them, whether they had special exercises, what books they read, and who knows what else. That is, if you found any really extraordinary concentrations of success, you might want to see if you could identify concentrations of unusual characteristics that might be causal factors. 

Scientific inquiry naturally follows such a pattern. If you were trying to analyze possible causes of a rare type of cancer -- with, say, 1,500 cases a year in the United States -- and you found that 400 of them occurred in some little mining town in Montana, you would get very interested in the water there, or the occupation of those afflicted, or other variables. You know it's not random chance that 400 come from a small area. You would not necessarily know the causal factors, but you would know where to search. 

I submit to you that there are ways of defining an origin other than geography. In addition to geographical origins, there can be what I call an intellectual origin. I think you will find that a disproportionate number of successful coin-flippers in the investment world came from a very small intellectual village that could be called Graham-and-Doddsville. A concentration of winners that simply cannot be explained by chance can be traced to this particular intellectual village. 

Conditions could exist that would make even that concentration unimportant. Perhaps 100 people were simply imitating the coin-flipping call of some terribly persuasive personality. When he called heads, 100 followers automatically called that coin the same way. If the leader was part of the 215 left at the end, the fact that 100 came from the same intellectual origin would mean nothing. You would simply be identifying one case as a hundred cases. 

Similarly, let's assume that you lived in a strongly patriarchal society and every family in the United States conveniently consisted of ten members. Further assume that the patriarchal culture was so strong that, when the 225 million people went out the first day, every member of the family identified with the father's call. Now, at the end of the 20-day period, you would have 215 winners, and you would find that they came from only 21.5 families. Some naive types might say that this indicates an enormous hereditary factor as an explanation of successful coin-flipping. But, of course, it would have no significance at all because it would simply mean that you didn't have 215 individual winners, but rather 21.5 randomly distributed families who were winners....MUCH MORE (13 page PDF)
The PDF has expanded versions of these performance records: 


Fund Manager Investment approach and constraints Fund Period Fund Return Market return
WJS Limited Partners Walter J. Schloss Diversified small portfolio (over 100 stocks, US$ 45M), second-tier stock 1956–1984 21.3% / 16.1%[4] 8.4% (S&P)
TBK Limited Partners Tom Knapp Mix of passive investments and strategic control in small public companies 1968–1983 20.0% / 16.0%[4] 7.0% (DJIA)
Buffett Partnership, Ltd. Warren Buffett
1957–1969 29.5% / 23.8%[4] 7.4% (DJIA)
Sequoia Fund, Inc. William J. Ruane Preference for blue chips stock 1970–1984 18.2% 10.0%
Charles Munger, Ltd. Charles Munger Concentration on a small number of undervalued stock 1962–1975 19.8% / 13.7%[4] 5.0% (DJIA)
Pacific Partners, Ltd. Rick Guerin
1965–1983 32.9% / 23.6%[4] 7.8% (S&P)
Perlmeter Investments, Ltd Stan Perlmeter
1965–1983 23.0% / 19.0%[4] 7.0% (DJIA)
Washington Post Master Trust 3 different managers Must keep 25% in fixed interest instruments 1978–1983 21.8% 7.0% (DJIA)
FMC Corporation Pension Fund 8 different managers
1975–1983 17.1% 12.6% (Becker Avg.)
Buffett takes special care to explain that the nine funds have little in common except the value strategy and personal connections to himself. Even when there are no striking differences in stock portfolio, individual mixes and timing of purchases are substantially different. The managers were indeed independent of each other....Wikipedia
Whitney Tilson, founder and managing partner of T2 Partners LLC maintains a cleaned-up transcript at the tilsonfunds.com site rather than at T2.