In “Your Complete Guide to Factor-Based Investing,” Andy Berkin and I presented the evidence demonstrating that momentum, both cross-sectional (or relative) momentum and time-series (or absolute, trend following) momentum, not only increases the explanatory power of asset pricing models while providing (historically) a premium, but that the premium has been persistent across time and economic regimes, has been pervasive around the globe and across asset classes, is robust to various formation and holding periods, has intuitive behavioral-based explanations for its existence (combined with limits to arbitrage, which prevent sophisticated investors from correcting anomalies), and is implementable (survives trading costs using patient trading strategies).
Research into momentum continues to demonstrate its persistence and pervasiveness, including across factors. Recent papers have focused on trying to identify ways to improve the performance of momentum strategies. For example, the study “Momentum Has Its Moments” found that momentum strategies can be improved on by scaling for volatility—targeting a specific level of volatility, reducing (increasing) exposure when volatility is high (low). And the study “Idiosyncratic Momentum: U.S. and International Evidence” found that results could be improved, reducing the risk of momentum strategies, by removing the return component due to market beta.(1)
Introducing Extreme Absolute Strength
Xuebing Yang and Huilan Zhang contribute to the literature on momentum with their study “Extreme Absolute Strength of Stocks and Performance of Momentum Strategies,” which appears in the June 2019 issue of the Journal of Financial Markets. Their study was stimulated by the findings from the 2013 study “Sources of Momentum Profits: Evidence on the Irrelevance of Characteristics,” which found that trading in stocks with more extreme past returns enhanced the performance of momentum strategies. The authors explored an alternative approach, asking the question: Does eliminating these extreme recent return stocks from the eligible universe improve returns? The strategy replaces the extreme stocks with T-bills, “consistent with the spirit that momentum strategies should avoid stocks with extreme recent returns.” Their database included all common stocks traded on the NYSE, AMEX and Nasdaq for the 1926-2015 period. They eliminated stocks with prices below $1.
The following is a summary of their findings:
Stocks with extreme absolute strength (0-3rd percentile) feature very high volatility and are more likely to lose their momentum and experience reversals.
As can be seen in the chart below, stocks with extreme absolute strength exhibit volatility that is disproportionally high relative to their potential contribution to the proﬁtability of a momentum strategy.
Removing these stocks from typical momentum portfolios signiﬁcantly reduces the volatility of the portfolios while modestly increasing the average return in most cases, improving the risk-adjusted performance.
The removal of stocks with extreme absolute strength can also effectively alleviate the problem of momentum crashes and renders momentum strategies proﬁtable in the post-2000 era, a period during which momentum appeared to have vanished (due to momentum’s crash in April 2009).
The strategy of removing extreme stocks works only when we identify the outliers using the absolute (versus relative) strength. On the other hand, stocks that have extreme relative strength exhibit weaker regularity in their future volatility and momentum. Removing these stocks from a momentum portfolio actually causes all the traditional performance indicators to deteriorate.
The results held up in tests of robustness using various formation periods and holding periods, and minimum price per share.
As an example of the reduction in risk, Yang and Zhang found:
“In its most unfortunate month during 1965-2015, which is April 2009, a momentum strategy with a 12-month ranking period and 6-month holding period would experience a 39.23% loss per month. The average loss in the worst ten months of this strategy amounts to 21.77% per month. When stocks with absolute strength in the top or bottom three percentiles of historical distribution are removed from this portfolio, however, the loss in the worst month can be reduced to 17.08%, and the average loss in the worst ten months decreases to 11.01% per month. We ﬁnd that avoiding momentum crashes is the main reason for the increase in the average returns of the strategy.
They also found that, while a momentum strategy with a 12-month ranking period and six-month holding period delivers a meager yearly return of about 0.72% (0.06% monthly) from 2000 to 2015, when stocks with extreme absolute strength are removed from the portfolio, the average yearly return could increase above 8.76% (0.73% monthly), and it is statistically signiﬁcant.
The traditional momentum strategy is plagued with momentum crashes in 2000-2015. When our method helps it avoid most of the momentum crashes, the momentum strategy becomes proﬁtable again in this period.
Yang and Zhang found that extreme absolute strength stocks are more likely to have momentum reversals, hurting the proﬁtability of momentum strategies. Removing these stocks from typical momentum portfolios signiﬁcantly reduces portfolio volatility, raising the portfolios’ Sharpe ratios and Sortino (a measure of downside risk-adjusted returns) ratios. They also found that removing extreme absolute strength stocks from momentum portfolios can effectively alleviate the problem of momentum crashes.
Our ﬁndings show that stocks with extreme absolute strength are a unique group of assets that should receive more attention in future research. These stocks exhibit some distinct features, such as disproportional volatility and a high likelihood of momentum reversal. Studies on them may help us better understand the behavior of portfolios, ﬁnancial markets, and investors.
What’s the takeaway for investors? Momentum crashes are driven by highly negative betas of momentum portfolios during periods of market stress that are followed by market rallies. For example, when the stock market reversed in March 2009, momentum portfolios suffered. The approach suggested by Yang and Zhang effectively excludes the worst performing stocks in March 2009. It is highly likely that those are high-beta stocks. Since stocks with the highest betas are removed from the loser’s portfolio, the momentum strategy has less negative beta and therefore doesn’t suffer as much in the reversal in April 2009. Their paper suggests the improvement in performance is largely driven by reducing the pain of momentum crashes. It’s important to note that during good periods the strategy trims highest beta stocks from the portfolio of winners. That reduces beta of momentum during good periods. Thus, the momentum strategy that eliminates stocks with extreme returns has more stable beta across time and thus tends to perform much better than conventional momentum.
Yang and Zhang’s results seem to indicate that stocks with extreme absolute strength should be added to the list of stocks that are referred to as lottery stocks (such as IPOs, penny stocks, stocks in bankruptcy, and small growth stocks with low profitability and high investment). Investors seem to prefer them, even though historically stocks with these characteristics have generated very poor risk-adjusted returns (and thus should be avoided). Their insights provide value to all investors, not just those who employ momentum strategies, as long-only funds can add a screen to exclude them from their eligible universe of stocks—just as Dimensional Fund Advisors (and other firms that employ systematic approaches to portfolio construction) adds a screen to exclude stocks exhibiting negative momentum from their eligible universe of value and small stocks. (Full disclosure: My firm, Buckingham Strategic Wealth, recommends Dimensional funds in constructing client portfolios.)
As Chief Research Officer for Buckingham Strategic Wealth and Buckingham Strategic Partners, Larry Swedroe spends his time, talent and energy educating investors on the benefits of evidence-based investing with enthusiasm few can match. Larry was among the first authors to publish a book that explained the science of investing in layman’s terms, “The Only Guide to a Winning Investment Strategy You’ll Ever Need.” He has since authored seven more books: “What Wall Street Doesn’t Want You to Know” (2001), “Rational Investing in Irrational Times” (2002), “The Successful Investor Today” (2003), “Wise Investing Made Simple” (2007), “Wise Investing Made Simpler” (2010), “The Quest for Alpha” (2011) and “Think, Act, and Invest Like Warren Buffett” (2012). He has also co-authored eight books about investing. His latest work, “Your Complete Guide to a Successful and Secure Retirement was co-authored with Kevin Grogan and published in January 2019. In his role as chief research officer and as a member of Buckingham’s Investment Policy Committee, Larry, who joined the firm in 1996, regularly reviews the findings published in dozens of peer-reviewed financial journals, evaluates the outcomes and uses the result to inform the organization’s formal investment strategy recommendations. He has had his own articles published in the Journal of Accountancy, Journal of Investing, AAII Journal, Personal Financial Planning Monthly, Journal of Indexing, and The Journal of Portfolio Management. Larry’s dedication to helping others has made him a sought-after national speaker. He has made appearances on national television shows airing on NBC, CNBC, CNN, and Bloomberg Personal Finance. Larry is a prolific writer and contributes regularly to multiple outlets, including Advisor Perspective, Evidence Based Investing, and Alpha Architect. Before joining Buckingham Wealth Partners, Larry was vice chairman of Prudential Home Mortgage. He has held positions at Citicorp as senior vice president and regional treasurer, responsible for treasury, foreign exchange and investment banking activities, including risk management strategies. Larry holds an MBA in finance and investment from New York University and a bachelor’s degree in finance from Baruch College in New York.
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