Posted 3/20/2003

The Speculator
Put ivory-tower theory to a real-world test
Every year, a parade of academics floats any number of theories about potentially profitable market quirks. We've come up with a new rating system to help you analyze those big ideas.
By Victor Niederhoffer and Laurel Kenner

"All theory is gray, but green is the golden tree of life."
-- Johann Wolfgang von Goethe, "Faust: A Tragedy"


Ph.Ds customarily wear a large hood on top of the cap and gown in academic ceremonies. In times past the hood served not only to protect against rain and cold but also as a bag to beg for alms.

This is consistent with the view of academics as impractical, absent-minded and incapable of making a buck in the real world, and for many years financial academics were true to the stereotype. They loudly proclaimed the market to be completely efficient in translating information into prices, a theory summed up by the one about the professor and the student: “Look,” exclaims the student, as they walk along the road. “Someone dropped a $100 bill!” “Nonsense,” the professor replies without bothering to look. “If there were a $100 bill, someone would have picked it up.”

Today, thousands of professors and advanced students are engaged in a gold rush for anomalies -- chinks in the market’s efficiency -- that might yield the odd $100 note. Most investors are too busy to do more than keep a weather eye on their portfolios, let alone review masses of academic literature. Therefore, we have developed a ratings system along the lines of Michelin and Zagat to help distinguish the good from the bad. We publish our first two SpecDuo Ratings today.

We have to admit searching long and hard to find an anomaly study that was truly useful, one we could honor with a perfect SpecDuo rating. Just before we went to press, we found the perfect academic paper: “The Equity Share in New Issues and Aggregate Stock Returns,” by Malcolm Baker and Jeffrey Wurgler, in the October 2000 edition of the Journal of Finance. In brief, they found that when equity issuance relative to debt was in the bottom quarter of all years they studied, the average return of the market the next year was 14%. When the equity issuance-to-debt ratio is in the top quarter, the returns next year were -6%. They attribute this to the issuing companies’ sense of whether their stocks are too high or too low. (Their data end in 1997, but issuing percentages during the last two years have been in the lowest quartile and are thus highly bullish.)

We also reviewed a study of whether certain days of the week are more profitable than others for trading. Our rating, together with a full explanation of the SpecDuo Rating system, appears below.

Animus toward the anomalous
An anomaly is a deviation or departure from the normal order (the phrase “abnormal return” appears frequently in these studies). In finance, an anomaly can sometimes produce returns that deviate significantly from those of the market as a whole -- in other words, returns that cannot be explained by the efficient-market hypothesis.

The literature on anomalies is voluminous and multifaceted. The 20 or so financial and accounting journals usually contain at least three or four articles on the subject. The educational Web site Investor Home (see link at left under Related Web Sites) devotes a section to anomalies, listing subjects, articles and noted professors in the field. The anomalies that are the subject of these studies can be categorized into:


Incentives for academics
Good work in the anomalies field can produce not only tenure and corporate sponsorship of the professor’s chair, but financial backing for the ideas. Some professors even put on the “red hood,” straddling the campus and the world of money management, or leave the ivory tower entirely to found their own hedge fund.

Eugene Fama, one of Vic's teachers at the University of Chicago, directs research at the Dimension series of mutual funds. Richard Roll, one of the most respected professors in finance, is a partner in the multibillion-dollar firm Roll and Ross Asset Management. Our good friend Dr. Andy Lo of the Massachusetts Institute of Technology is spearheading a major effort to find profitable anomalies in stock prices. This is consistent with the view of academics as impractical, absent-minded and incapable of making a buck in the real world, and for many years financial academics were true to the stereotype. They loudly proclaimed the market to be completely efficient in translating information into prices, a theory summed up by the one about the professor and the student: “Look,” exclaims the student, as they walk along the road. “Someone dropped a $100 bill!” “Nonsense,” the professor replies without bothering to look. “If there were a $100 bill, someone would have picked it up.”

Today, thousands of professors and advanced students are engaged in a gold rush for anomalies -- chinks in the market’s efficiency -- that might yield the odd $100 note. Most investors are too busy to do more than keep a weather eye on their portfolios, let alone review masses of academic literature. Therefore, we have developed a ratings system along the lines of Michelin and Zagat to help distinguish the good from the bad. We publish our first two SpecDuo Ratings today.

We have to admit searching long and hard to find an anomaly study that was truly useful, one we could honor with a perfect SpecDuo rating. Just before we went to press, we found the perfect academic paper: “The Equity Share in New Issues and Aggregate Stock Returns,” by Malcolm Baker and Jeffrey Wurgler, in the October 2000 edition of the Journal of Finance. In brief, they found that when equity issuance relative to debt was in the bottom quarter of all years they studied, the average return of the market the next year was 14%. When the equity issuance-to-debt ratio is in the top quarter, the returns next year were -6%. They attribute this to the issuing companies’ sense of whether their stocks are too high or too low. (Their data end in 1997, but issuing percentages during the last two years have been in the lowest quartile and are thus highly bullish.)

We also reviewed a study of whether certain days of the week are more profitable than others for trading. Our rating, together with a full explanation of the SpecDuo Rating system, appears below.

Animus toward the anomalous
An anomaly is a deviation or departure from the normal order (the phrase “abnormal return” appears frequently in these studies). In finance, an anomaly can sometimes produce returns that deviate significantly from those of the market as a whole -- in other words, returns that cannot be explained by the efficient-market hypothesis.

The literature on anomalies is voluminous and multifaceted. The 20 or so financial and accounting journals usually contain at least three or four articles on the subject. The educational Web site Investor Home (see link at left under Related Web Sites) devotes a section to anomalies, listing subjects, articles and noted professors in the field. The anomalies that are the subject of these studies can be categorized into:


Incentives for academics
Good work in the anomalies field can produce not only tenure and corporate sponsorship of the professor’s chair, but financial backing for the ideas. Some professors even put on the “red hood,” straddling the campus and the world of money management, or leave the ivory tower entirely to found their own hedge fund.

Eugene Fama, one of Vic's teachers at the University of Chicago, directs research at the Dimension series of mutual funds. Richard Roll, one of the most respected professors in finance, is a partner in the multibillion-dollar firm Roll and Ross Asset Management. Our good friend Dr. Andy Lo of the Massachusetts Institute of Technology is spearheading a major effort to find profitable anomalies in stock prices. Some academics leave the ivory tower completely; Jim Simon, who chaired the State University of New York’s math department, departed to found the successful Renaissance Technologies fund.

Regrettably, academics often do studies retrospectively, indulge in data mining, throw out results that don’t confirm their hypotheses and report results in a form that can rarely be used. Many studies are based on data from the 1970s to the mid-1990s, and the market’s recent devastating declines might well have changed the results.

Moreover, lots of smart people are always ready to jump on a winning idea, thereby changing the odds of success. We might call the Heisenberg principle of investing, after the 20th-century scientist who noted that the mere act of observation changes an electron’s path.

Street smarts
Nowhere does suspicion of the ivory tower linger more strongly than among non-academic traders. Professors are fine with their complex theories and equations in the safety of the classroom, they’ll tell you, but they just don’t have the street smarts to survive in the market.

When they do try out ideas in the real world, the results can be disastrous on a biblical scale. This view was affirmed when the Nobel laureates Myron Scholes and Robert Merton witnessed in 1998 a Fed-initiated rescue of their fund, Long-Term Capital Management, at 5% of its former value. (Along these lines, we will not refrain from noting that Vic himself earned a Ph.D. in statistics from the same University of Chicago business school as Dr. Scholes, and that his fund suffered a similar fate one year earlier than Long-Term Capital.)

Yet academics have much to offer. They have access to massive computing power and huge databases, and they are highly competent, trained in all forecasting and analysis techniques. In previous columns, we’ve written about studies we think have legs: anomalies based on accruals, insider trading, dividends, buybacks, low prices and IPOs. Whatever you say about their street smarts, they are definitely book smart -- and like you and me, they have every incentive to use their considerable assets to come up with something useful and timeless.

Our new SpecDuo Ratings system establishes a framework for weeding out the good from the bad.

SpecDuo rating criteria
Here are the important things to consider when reviewing a study, or evaluating a media report on one:

  1. Practical significance. After all, if it’s just a small effect, who cares? A big enough sample can make any phenomenon statistically significant.
  2. Transparency. We feel that any paper should make a point and be able to prove it, even if it is only a thinly disguised attempt to generate interest from financial backers.
  3. Real-world test. Things work much better on paper than in real life, as we never cease to point out. An out-of-sample -- i.e., real-world test -- of a study’s conclusions is essential.
  4. Possibility of regime change. Things tend to turn bad just when they look good. Our book "Practical Speculation" contains many examples of this, and we write about it frequently in our column -- most recently last week, in our article on Ted Williams’ batting strategy. A good study will at least consider the possibility that the current cycle could change.

For example, many studies have concluded that initial public offerings significantly underperform the market. The definitive paper on the long-term underperformance of IPOs, “A Review of IPO Activity, Pricing and Allocations," by Ivo Welch and Jay Ritter, enumerates the buy-and-hold returns of 6,249 IPOs from 1980-2001. They conclude that these stocks underperform the market on average by 23 percentage points over three years. In general, their study is excellent, and their SpecDuo Rating can be found on our Web site. Yet when we performed an update of all IPO s during the down market of the last three years for our column two weeks ago, we found that they outperformed the market by some 20 percentage points a year.

Seasonality and changing cycles
A good part of the anomaly literature is devoted to studies of seasonality. A basic problem with these studies is that merely picking a season to study involves making guesses as to when and where the seasonality is. For example, is it in January or December, on Monday or Friday, in the United States or the Ukraine? (Yes, our Google search turned up a study of anomalies in the Ukraine.) Thus, the very choice of a subject might involve random luck.

Another aspect of seasonality studies that must be considered is whether the effects noted are sufficient to cover transaction costs. A retrospective study showing that you can make 2 cents more on Friday trades than Monday trades in your typical $50 stock would not be sufficient in practice to leave anyone but the broker and the market-maker richer.

Thus, it’s essential to temper the conclusions of such studies with “out-of-sample testing” -- in other words, with real trading.

With that in mind, let’s consider a representative seasonality study, “The Day of the Week Effect and Stock Market Volatility: Evidence From Developed Countries,” by Halil Kiymaz and Hakan Berument, from the Summer 2001 edition of the Journal of Economics and Finance. Their research examines whether returns and variability differ on different days of the week in the five major international markets from 1989 to October 1997. They conclude that day-of-week anomalies exist for returns and volatility in all five countries.

For example, they find that in the United States, stocks go down an average of -0.08% on Monday, while rising on Fridays an average of 0.1%. But hold all tickets -- 0.1% on a $50 stock is just 5 cents, hardly enough to cover transaction costs even if the results hold up.

SpecDuo Rating:
Practicality: 0
Transparency: 10
Testing: 10
Regime shift possibility noted: 0

Spec update
Fortunately, the Spec Duo has the pencils and envelopes necessary to update the study. Here is what we found for the daily changes and volatility for the S&P 500 Index ($INX) on the different days of the week from the beginning of 1997 to March 15, 2003:

 Returns and volatility by day of the week, in percent

 

Monday

Tuesday

Wednesday

Thursday

Friday

Average return

0.04

-0.02

-0.06

0.05

-0.01

Average volatility

0.12

0.13

0.12

0.12

0.12


Regrettably, the returns are so close to zero and the variabilities so close to equal that the results are completely random. The day-of-week effect has been totally useless to speculators over the last six years, despite what the literature says.

Final note
We wish to thank Mr. Adam Robinson for his research and editorial assistance on this project. Before joining Vic's firm, Adam was the co-founder of the Princeton Review. We have rated many additional anomalies papers. Our SpecDuo Ratings, as well as reader comments on anomalies, are available on our Web site. Please feel free to send us your own ratings on these and other academic papers