Tag Archives: seeking-alpha

Why Does Dual Momentum Outperform?

Those who have read my momentum research papers, book, and this blog should know that simple dual momentum has handily and consistently outperformed buy-and-hold. The following chart shows the 10- year rolling excess return of our popular Global Equities Momentum (GEM) dual momentum model compared to a 70/30 S&P 500/U.S. bond benchmark [1] Results are hypothetical, are NOT an indicator of future results, and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Please see our Performance and Disclaimer pages for more information. GEM has always outperformed this benchmark and continues to do so now, although the amount of outperformance has varied considerably over time. In 1984 and 1997-2000, those who might have guessed that dual momentum had lost its mojo saw its dominance come roaring right back. In Chapter 4 of my book, I give a number of the explanations why momentum in general has worked so well and has even been called the “premier anomaly” by Fama and French. Simply put, reasons for the outperformance of momentum fall into two general categories: rational and behavioral. In the rational camp are those who believe that momentum earns higher returns because its risks are greater. That argument is harder to accept now that absolute momentum has clearly shown the ability to simultaneously provide higher returns and reduced risk exposure. The behavioral explanation for momentum centers on initial investor underreaction of prices to new information followed later by overreaction. Underreaction likely comes from anchoring, conservatism, and the slow diffusion of information, whereas overreaction is due to herding (the bandwagon effect), representativeness (assuming continuation of the present), and overconfidence. Price gains attract additional buying, which leads to more price gains. The same is true with respect to losses and continued selling. The herding instinct is one of the strongest forces in nature. It is what allows animals in nature to better survive predator attacks. It is built in to our brain chemistry and DNA as a powerful primordial instinct and is unlikely to ever disappear. Representativeness and overconfidence are also evident and prevalent when there are strong momentum-based trends.Investors’ risk aversion may decrease as they see prices rise and they become overconfident. Their risk aversion may similarly increase as prices fall and investors become more fearful. These aggregate psychological responses are also unlikely to change in the future. One can easily make a logical argument for the investor overreaction explanation of the momentum effect with individual stocks. Stocks can have high idiosyncratic volatility and be greatly influenced by news related items, such as earnings surprises, management changes, plant shutdowns, employee strikes, product recalls, supply chain disruptions, regulatory constraints, and litigation. A recent study by Heidari (2015) called, ” Over or Under? Momentum, Idiosyncratic Volatility and Overreaction “, looked into the investor under or overreaction question with respect to stocks and found evidence that supported the overreaction explanation as the source of momentum profits, especially when idiosyncratic volatility was high. A number of economic trends, not just stock prices, get overextended and then have to mean revert. The business cycle itself trends and mean reverts. Since the late 1980s, researchers have known that stock prices are long-term mean reverting [2]. Mean reversion supports the premise that stocks overreact and become overextended, which is what leads to their mean reversion. We will show that overreaction, in both bull and bear market environments, provides a good explanation for why dual momentum has worked so well compared to buy-and-hold. Dual Momentum Performance Earlier we posted Dual, Relative, & Absolute Momentum , which highlighted the difference between dual, relative, and absolute momentum. Here is a chart of our GEM model and its relative and absolute momentum components that were referenced in that post. GEM uses relative momentum to switch between U.S. and non-U.S. stocks, and absolute momentum to switch between stocks and bonds. Instructions on how to implement GEM are in my book, ‘ Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk’ . Results are hypothetical, are NOT an indicator of future results, and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Please see our Performance and Disclaimer pages, linked previously, for more information. Relative momentum provided almost 300 basis points more return than the underlying S&P 500 and MSCI ACWI ex-US indices. It did this by capturing profits from both indices rather than from just from a single one. We can tell from the above chart that some of these profits were due to price overreaction, since both indices pulled back sharply following strong run ups. Even though relative momentum can give us substantially increased profits, it does nothing to alleviate downside risk. Relative momentum volatility and maximum drawdown are comparable to the underlying indices themselves. However, we see in the above chart that absolute momentum applied to the S&P 500 created almost the same terminal wealth as relative momentum, and it did so with substantially less drawdown. Absolute momentum accomplished this by side stepping the severe downside bear market overreactions in stocks. As with relative momentum, there is ample evidence of price overreaction here, since there were sharp rebounds from oversold levels following most bear market lows. We see that overreaction comes into play twice with dual momentum. First, is when we exploit positive overreaction to earn higher profits from the strongest index selected by relative momentum. Trend following absolute momentum can help lock in these overreaction profits before the markets mean revert them away. Second is when we avoid negative overreaction by standing aside from stocks when absolute momentum identifies the trend of the market as being down. Based on this synergistic capturing of overreaction profits while avoiding overreaction losses, dual momentum produced twice the incremental return of relative momentum alone while maintaining the same stability as absolute momentum. We should keep in mind that stock market overreaction, as the driving force behind dual momentum, is not likely to disappear. Distribution of Returns Looking at things a little differently, the following histogram shows the distribution of rolling 12-month returns of GEM versus the S&P 500. We see that GEM has participated well in bull market upside gains while truncating left tail risk representing bear market losses. Dual momentum, in effect, converted market overreaction losses into profits. Market Environments We can also gain some insight by looking at the comparative performance of GEM and the S&P 500 during separate bull and bear market periods. BULL MKTS BEAR MKTS Date S&P 500 GEM Date S&P 500 GEM Jan 71-Dec 72 36.0 65.6 – – – Oct 74-Nov 80 198.3 103.3 Jan 73-Sep 74 -42.6 15.1 Aug 82-Aug 87 279.7 569.2 Dec 80-Jul 82 -16.5 16.0 Dec 87-Aug 00 816.6 730.5 Sep 87-Nov 87 -29.6 -15.1 Oct 02-Oct 07 108.3 181.6 Sep 00-Sep 02 -44.7 14.9 Mar 09-Nov15 225.7 89.4 Nov 07-Feb 09 -50.9 -13.1 Average Return 277.4 289.9 Average Return -36.9 3.6 Results are hypothetical, are NOT an indicator of future results, and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Please see our Performance and Disclaimer pages, linked previously, for more information. During bull markets, GEM produced an average return somewhat higher than the S&P 500. This meant that relative momentum earned more than absolute momentum gave up on those occasions when absolute momentum exited stocks prematurely and had to reenter stocks a month or several months later [3]. Relative momentum also overcame lost profits when trend-following absolute momentum temporarily kept GEM out of stocks as new bull markets were just getting started. Absolute momentum on its own can lag during bull markets, but relative momentum can alleviate the aggregate bull market underperformance of absolute momentum. Relative and absolute momentum therefore complement each other well in bull market environments. What really stand out though are the average profits that GEM earned in bear market environments when stocks lost an average of 37%. Absolute momentum, by side stepping bear market losses, is what accounted for much of GEM’s overall outperformance. Large losses require much larger gains to recover from those losses. For example, a 50% loss requires a subsequent 100% gain to get back to breakeven. By avoiding large losses in the first place, GEM has avoided being saddled with this kind of loss recovery burden. Warren Buffett was right when he said that the first (and second) rule of investing is to avoid losses. Increased profits through relative strength and loss avoidance through absolute momentum are only half the story though. Avoiding losses also contributes greatly to investor peace of mind and helps prevent us from becoming irrationally exuberant or uncomfortably depressed, which can lead to poor timing decisions. Not only does dual momentum help capture overreaction bull market profits and reduce overreaction bear market losses, but it gives us a disciplined framework to keep us from overreacting to the wild vagaries of the market. [1] GEM has been in stocks 70% of the time and in aggregate or intermediate government/credit bonds around 30% of the time since January 1971. See the Performance page of our website for more information. [2] See Poterba and Summers (1988) or Fama and French (1988). [3] Since January 1971, there have been 9 instances of absolute momentum causing GEM to exit stocks and then reenter them within the next 3 months, foregoing an average 3.1% difference in return.

Book Review: Free Capital

Summary Guy Thomas profiles twelve private investors. The interviewees remain anonymous and speak frankly about their successes and failures. Free Capital is an inspirational and educational read. The Market Wizards of U.K. amateur investors. Actuary, private investor and honorary lecturer Guy Thomas put together a terrific read called Free Capital: How 12 Private Investors Made Millions in the Stock Market after a thorough process of selecting and interviewing over 20+ private investors. The book consists of interviews with twelve private investors. It could have been part of the Market Wizards series by Jack. D. Schwager and an appropriate subtitle would have been: Interviews with the U.K. best amateur investors . If you enjoyed the Market Wizard series you are almost certain to like this book. The final selection of interviewees is made up of investors employing a variety of styles. The author segments the styles as follows: Geographers: top-down investors. Start from a macro perspective and search companies that will benefit from that trend. Surveyors: bottom-up investors who look at individual company financials. Activists: Investors taking an active approach to their investments. Putting a large percentage of their portfolio in a name and developing a conversation with management. Eclectics: Go back and forth between styles or don’t fit the other styles. It even includes one day trader and varies from activists to buy and hold dividend investors. Every investor interviewed had been highly successful with many racking up the balance of their U.K. tax-free, limited contribution accounts, up to well over a million. A feat than can only be accomplished by highly skillful investors. Thomas was also careful to monitor results of the interviewees over a market cycle to ensure their strategies could withstand a bear market. What is the book about? First and foremost the book in an inspirational read. Although a few of the investors in the book are exceptionally intelligent, many appear to be just above average in intelligence and some had to deal with severe setbacks in life or very tough starting conditions. Most of the people profiled struggled to keep their pre-investment career on track. Yet, they were able to achieve tremendous success through investing. They accomplished this through a variety of strategies. An important takeaway is that when you study investing, stick to a strategy that suits you and keep at it ultimately you should be able to achieve financial freedom. For many in this book, becoming a private investor enabled them to get away from company politics. Why you shouldn’t read Free Capital First of all to enjoy this book it is required you are interested in the practice of active investing. If you a convinced passive investor you will not like this book very much. The interviewees are all U.K. based private investors. The author guards their real identity which allowed them to speak frankly. The book really stands out in its genre because the people profiled do not try to talk up their strategies, try to look smart or otherwise try to boost their own ego. However, if you are looking for sophisticated literature, you should read the papers authored by Thomas (highly recommended as well). Who should read Free Capital? Read Free Capital if you are looking for an inspirational read. Quite a bit of actionable advice is dished out by the various interviewees but there are no stock tips. Of course stock tips wouldn’t have a very long shelf life any way. The book is especially valuable if you are developing your style as a private investor. You may not yet realize that it is also possible to be an activist investor from your home office. Even though most people day trading end up broke, some prosper. Perhaps you are considering to become a full time investor because you hate your career but do not dare to take the plunge yet. These people did it but all took precautions. You may think you are handicapped because you don’t have a finance or business background but neither did these people and they destroyed their benchmarks. Free Capital is certainly one of the best investment books I read in 2015 and I highly recommended it.

How Prices Of ETF BIB Are Seen By Market-Makers

Summary This discussion, not a conventional review of biotech development pipeline conditions, is a study of how prices for the ETF are evaluated by market pros and the market’s subsequent reactions. Market-makers [MMs], regularly called on to negotiate volume (block trade) transactions in BIB have a special insight advantage – knowing trends of buy-side “order flow.” Why buy? or why sell? often is far less important to resulting price trends than “By how much, and how long it is likely to persist.” The MMs reveal their conclusions by the way they protect themselves and their at-risk capital commitments – in hedging. Behavioral analysis lets us know. How has the subject security been behaving? The ProShares Ultra Nasdaq Biotechnology ETF (NASDAQ: BIB ) is an issue with about 2 ½ years of markets transaction history, just under the three-year minimum we like to have for historical research and behavioral analysis. But it turns out to be an active enough subject to provide a good deal of perspective, in a dynamically competitive arena of intense and continuing interest to big-money investment organizations. Figure 1 shows how buy-side transaction orders have been prompting MM’s conclusions about likely coming price ranges day by day over the past 6 months. Figure 2 extends that same analysis to the past 2 years by means of extracting daily forecasts on a once a week basis. Figure 1 (used with permission) Price ranges indicated by vertical lines in these pictures are forward-looking forecasts of the likely extremes for BIB during the life of the derivatives contracts used to hedge MM capital put at risk in the process. The heavy dot in each vertical marks the closing price of the day of the forecast, and separates the range into upside and downside segments. The current day’s Range Index [RI] of 14 measures the percentage of the whole forecast range that is below that market trade. It defines the historic sample of 24 prior forecasts of similar upside-to-downside proportions used to evaluate the present-day forecast. The distribution of RIs available during the past 5 years (only 627 here) is shown in the lower thumb-nail picture. Quality of prior forecasts is indicated by only one of the 24 priors failing to recover from the -4.8% worst-case price drawdowns to earn a gain under the portfolio management discipline standard regularly used to compare alternative investment results. The other 23 (96% of the 24) combined with the loser to produce an average gain of +16.4% in an average holding period of 5 weeks (25 market days). That relatively short holding period contributed to the CAGR of +356%, the magnet of our wealth-building interest. Figure 2 (used with permission) Figure 2’s expanded time dimension provides a sense of its longer experience and how the values seen now relate to the past. Another comparative dimension is how BIB now relates to other investment alternatives. Figure 3 lists other Biotech-focused ETFs and provides perspectives on their size, market liquidity, and year-to-date price behaviors. Figure 3 (click to enlarge) Included in this table are the Market-proxy ETF, the SPDR S&P 500 Trust ETF (NYSEARCA: SPY ) and an inverse ETF, the ProShares UltraShort Nasdaq Biotechnology ETF (NASDAQ: BIS ) . BIS is structured to move in price 2x the opposite direction of its underlying index, while BIB holds mainly derivative instruments that leverage its price moves positively, to 2x the daily action of that same index. The index in question is the NASDAQ Biotech Index which is directly tracked by the iShares Nasdaq Biotechnology ETF (NASDAQ: IBB ). Its holdings are shown in Figure 4, strictly for perspective. Figure 4 An important aspect of any investment comparison is the trade-off between risk and reward. Figures 1 and 2 provide the data for BIB in side-by-side amounts of +13.3% and -2.9% in the rows of data contained in each. A visual comparison of those dimensions can be made from the map of Figure 5. Figure 5 (used with permission) The green % Upside Reward Scale at bottom of the map is quite understandable. But the red vertical scale of % Price downside may raise confusion between the downside portion of the forecasts and the worst-case price drawdowns of prior forecast experiences. Our experience is that the downside segment of the current-day forecasts is often exceeded by price drawdown experiences of prior like forecasts, and in turn, the current forecasts add to the priors. Besides it is not the forecasts that lead to capital losses (risk), but the experience of seeing investment prices descend below their entry cost prices, and staying there or getting worse, to the point where the investor throws in the towel and locks in a loss. When by having the fortitude to ride the stress out, he/she might likely see the position recover to a profit situation. So we use experiences rather than forecasts on the risk side of the equation. In Figure 5, BIB in position [3] clearly dominates most of the alternatives with a better trade-off. That adds to its quality advantage of a proven high-payoff history. BIS up in [6] is at the disadvantage of its “short” structure in a group where the current outlook is for higher stock prices. Conclusion: BIB currently presents a reasonably credible, albeit shorter, history of substantial rates of gain from earlier pro forecasts like that seen today. Investors should add to their own due diligence on the ETF’s competitive and profitability due diligence a hearty encouragement on the price-prospects front from market professionals.