THE SUPERINVESTORS OF
GRAHAM-AND-DODDSVILLE
by
EDITOR'S NOTE: This article is an edited transcript of a
talk given at
Please open accompanying Acrobat file for the
tables.
Is the
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
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
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
In this group of successful
investors that I want to consider, there has been a common intellectual
patriarch,
The common intellectual theme of the
investors from Graham-and-Doddsville is this: they
search for discrepancies between the value of a business and the price
of small pieces of that business in the market. Essentially, they exploit those discrepancies
without the efficient market theorist's concern as to whether the stocks are
bought on Monday or Thursday, or whether it is January or July, etc. Incidentally, when businessmen buy businesses, which is just what our Graham & Dodd
investors are doing through the purchase of marketable stocks -- I doubt that
many are cranking into their purchase decision the day of the week or the month
in which the transaction is going to occur.
If it doesn't make any difference whether all of a business is being
bought on a Monday or a Friday, I am baffled why academicians invest extensive
time and effort to see whether it makes a difference when buying small pieces
of those same businesses. Our Graham
& Dodd investors, needless to say, do not discuss beta, the capital asset
pricing model, or covariance in returns among securities. These are not subjects of any interest to
them. In fact, most of them would have
difficulty defining those terms. The
investors simply focus on two variables: price and value.
I always find it extraordinary that
so many studies are made of price and volume behavior, the stuff of
chartists. Can you imagine buying an
entire business simply because the price of the business had been marked up substantially
last week and the week before? Of
course, the reason a lot of studies are made of these price and volume
variables is that now, in the age of computers, there are almost endless data
available about them. It isn't
necessarily because such studies have any utility; it's simply that the data
are there and academicians have [worked] hard to learn the mathematical skills
needed to manipulate them. Once these
skills are acquired, it seems sinful not to use them, even if the usage has no
utility or negative utility. As a friend
said, to a man with a hammer, everything looks like a nail.
I think the group that we have
identified by a common intellectual home is worthy of study. Incidentally, despite all the academic
studies of the influence of such variables as price, volume, seasonality,
capitalization size, etc., upon stock performance, no interest has been
evidenced in studying the methods of this unusual concentration of
value-oriented winners.
I
begin this study of results by going back to a group of four of us who worked
at Graham-Newman Corporation from 1954 through 1956. There were only four -- I have not selected
these names from among thousands. I
offered to go to work at Graham-Newman for nothing after I took
The first example (see Table 1,
separate file) is that of
He has no connections or access to useful
information. Practically no one in Wall
Street knows him and he is not fed any ideas.
He looks up the numbers in the manuals and sends for the annual reports,
and that's about it.
In introducing me to (Schloss)
The second case is
In 1968,
Table 3 describes the third member
of the group who formed Buffett Partnership in 1957. The best thing he did was to quit in
1969. Since then, in a sense, Berkshire
Hathaway has been a continuation of the partnership in some respects. There is no single index I can give you that
I would feel would be a fair test of investment management at
Table 4 shows the record of the
Sequoia Fund, which is managed by a man whom I met in 1951 in
There's no hindsight involved
here.
I should add that in the records
we've looked at so far, throughout this whole period there was practically no
duplication in these portfolios. These
are men who select securities based on discrepancies between price and value,
but they make their selections very differently.
Table 5 is the record of a friend of
mine who is a Harvard Law graduate, who set up a major law firm. I ran into him in about 1960 and told him
that law was fine as a hobby but he could do better. He set up a partnership quite the opposite of
Table 6 is the record of a fellow
who was a pal of
One sidelight here: it is
extraordinary to me that the idea of buying dollar bills for 40 cents takes
immediately to people or it doesn't take at all. It's like an inoculation. If it doesn't grab a person right away, I
find that you can talk to him for years and show him records, and it doesn't
make any difference. They just don't
seem able to grasp the concept, simple as it is. A fellow like
Table 7 is the record of
Perlmeter
does not own what
Table 8 and Table 9 are the records
of two pension funds I've been involved in.
They are not selected from dozens of pension funds with which I have had
involvement; they are the only two I have influenced. In both cases I have steered them toward
value-oriented managers. Very, very few
pension funds are managed from a value standpoint. Table 8 is the Washington Post Company's
Pension Fund. It was with a large bank
some years ago, and I suggested that they would do well to select managers who
had a value orientation.
As you can see, overall they have
been in the top percentile ever since they made the change. The Post told the managers to keep at least
25 percent of these funds in bonds, which would not have been necessarily the
choice of these managers. So I've
included the bond performance simply to illustrate that this group has no
particular expertise about bonds. They
wouldn't have said they did. Even with
this drag of 25 percent of their fund in an area that was not their game, they
were in the top percentile of fund management.
The Washington Post experience does not cover a terribly long period but
it does represent many investment decisions by three managers who were not
identified retroactively.
Table 9 is the record of the FMC
Corporation fund. I don't manage a dime
of it myself but I did, in 1974, influence their decision to select
value-oriented managers. Prior to that
time they had selected managers much the same way as most
larger companies. They now rank
number one in the
So these are nine records of
"coin-flippers" from Graham-and-Doddsville. I haven't selected them with hindsight from
among thousands. It's not like I am
reciting to you the names of a bunch of lottery winners -- people I had never
heard of before they won the lottery. I
selected these men years ago based upon their framework for investment
decision-making. I knew what they had
been taught and additionally I had some personal knowledge of their intellect,
character, and temperament. It's very
important to understand that this group has assumed far less risk than average;
note their record in years when the general market was weak. While they differ greatly in style, these
investors are, mentally, always buying the business, not buying the
stock. A few of them sometimes buy
whole businesses. Far more often they
simply buy small pieces of businesses. Their attitude, whether buying all or a tiny piece of a business,
is the same. Some of them hold
portfolios with dozens of stocks; others concentrate on a handful. But all exploit the difference between the
market price of a business and its intrinsic value.
I'm convinced that there is much
inefficiency in the market. These
Graham-and-Doddsville investors have successfully
exploited gaps between price and value.
When the price of a stock can be influenced by a "herd" on
Wall Street with prices set at the margin by the most emotional person, or the
greediest person, or the most depressed person, it is hard to argue that the
market always prices rationally. In
fact, market prices are frequently nonsensical.
I would like to say one important
thing about risk and reward. Sometimes
risk and reward are correlated in a positive fashion. If someone were to say to me, "I have
here a six-shooter and I have slipped one cartridge into it. Why don't you just spin it and pull it
once? If you survive, I will give you $1
million." I would decline --
perhaps stating that $1 million is not enough.
Then he might offer me $5 million to pull the trigger twice -- now that
would be a positive correlation between risk and reward!
The exact opposite is true with
value investing. If you buy a dollar
bill for 60 cents, it's riskier than if you buy a dollar bill for 40 cents, but
the expectation of reward is greater in the latter case. The greater the potential for reward in the
value portfolio, the less risk there is.
One quick example: The Washington
Post Company in 1973 was selling for $80 million in the market. At the time, that day, you could have sold
the assets to any one of ten buyers for not less than $400 million, probably
appreciably more. The company owned the Post,
Newsweek, plus several television stations in major markets. Those same properties are worth $2 billion
now, so the person who would have paid $400 million would not have been crazy.
Now, if the stock had declined even
further to a price that made the valuation $40 million instead of $80 million,
its beta would have been greater. And to
people that think beta measures risk, the cheaper price would have made it look
riskier. This is truly
You also have to have the knowledge
to enable you to make a very general estimate about the value of the underlying
businesses. But you do not cut it
close. That is what
In conclusion, some of the more
commercially minded among you may wonder why I am writing this article. Adding many converts to the value approach
will perforce narrow the spreads between price and value. I can only tell you that the secret has been
out for 50 years, ever since
Tables
1-9 follow: See separate Acrobat file.