Eugene Fama and Kenneth French are known for "Efficient Market Hypothesis". Many investment advisors and financial planners who take a passive approach often anchor to the hypothesis that the market reflects information too quickly for them to exploit, so they may as well buy and hold a group of index funds. Supporters of EMH continue to change the definition of what makes a market efficient, making it difficult to falsify. However, since the first EMH study was released nearly forty years ago, new knowledge has falsified the hypothesis that markets efficiently reflect new information (news). There is at least one anomaly they admit is pervasive: Momentum. Momentum can mean many things and certainly is applied in different ways by different investors, but it basically means buying stocks that have recently gone up (over the past 3 - 12 months) and selling (or at least avoiding) those that are going down. That may sound familiar, since it is a strategy used by Shell Capital Management to achieve the results you see in our separate managed account program, the Asymmetry Investment Program. We, of course, agree that momentum is a return anomaly and its robustness is at least one factor in creating the results you see in our Performance Composite. However, it takes more than just a price momentum ranking system to create those kind of results. Absolute returns and an asymmetric risk/reward profile seen in our investment program cannot be achieved by relative price strength or price momentum alone; it requires great skill at portfolio management and that involves an edge in risk control. With that disclaimer out of the way, we share some of the comments from "Dissecting Anomalies" a paper by Fama and French that studies some of the anomalies like Momentum.
The following quotes are taken from: Fama, Eugene F. and French, Kenneth R., Dissecting Anomalies (June 2007). CRSP Working Paper No. 610.
From the abstract:
"...momentum is pervasive".
Page 1:
"The premier anomaly is momentum (Jegadeesh and Titman (1993)): stocks with low returns over the last year tend to have low returns for the next few months and stocks with high past returns tend to have high future returns. Like the patterns in average returns associated with net stock issues, accruals, profitability, and asset growth, return momentum is left unexplained by the three-factor model of Fama and French (1993) as well as by the CAPM."
“…return momentum is left unexplained by the three-factor model of Fama and French (1993) as well as by the CAPM.”
Page 3:
“We find that, at least in the extremes, net stock issues, accruals, and momentum produce strong abnormal returns for microcaps, small stocks, and big stocks. For net stock issues and accruals, however, there are chinks in the armor.”
Page 4:
"The two clear winners, in terms of strong average regression slopes for all size groups, are net stock issues and momentum."
"We also argue that the observed relations between average returns and the anomaly variables (positive for momentum and profitability, negative for net stock issues, accruals, and asset growth) are at least roughly in line with the valuation equation."
Page 9:
"Which anomalies produce strong average hedge returns for all three (micro, small, and big) size groups? The clear winners in Table II are net stock issues, accruals, and momentum."
"Finally, momentum sorts produce strong positive average VW and EW hedge returns for all size groups."
"Our momentum results complement those in Hong, Stein, and Lim (2000)."
"Since stock issues, accruals, and momentum produce large average EW and VW abnormal hedge returns in all size groups, at least in terms of hedge returns, these three anomalies are pervasive."
Page 11:
"Which anomalies are present in all size groups and produce returns that vary systematically from the low to the high ends of the sorts? Momentum satisfies both criteria. Abnormal VW momentum returns are strongest for microcaps and weakest for big stocks, but they are impressive in all size groups, and they increase rather systematically from strongly negative for extreme losers to strongly positive for extreme winners. EW momentum returns in all size groups also vary smoothly from losers to winners."
page 16:
"...among the remaining variables, only net stock issues and momentum show strong marginal explanatory power in all size groups in the regressions...."
Source: Fama, Eugene F. and French, Kenneth R., Dissecting Anomalies (June 2007). CRSP Working Paper No. 610. Available at SSRN: http://ssrn.com/abstract=911960