FREQUENTLY ASKED QUESTIONS
It seems that a lot can happen between the beginning of the month when your momentum indices adjust their positions and the beginning of the next month when new signals are given. Why not check for signals more than once a month?
Research has shown that stock prices are reactive rather than trending over short periods of time. Stocks are more likely to rebound from short-term fluctuations than to continue in the same direction. You will get whipsawed if you check for signals too frequently.
If momentum investing is so great why aren’t more people using it?
There are other reasons momentum investing has not yet caught on. First, it is not as psychologically appealing to buy what has gone up in price as it is to buy things that appear to be cheap. Momentum may also seem too simple for those who think more complex approaches have more merit. This is a common misconception. Some investors also have prejudices against newer styles of investing or investing in indices rather than in stocks. Interestingly, the same behavioral factors that explain why momentum works also explain why momentum has not caught on yet: anchoring, herding, conservatism, and the slow diffusion of information. Dual momentum investing also triggers familiarity bias that keeps some from using it. There is also a strong universal home country bias that keeps many from investing heavily outside of their home country.
Finally, limits to arbitrage keep institutional investors from investing in new ideas because of career risk. If they are wrong in doing what everyone else is doing, they have a better chance of keeping their clients. But they are likely to lose clients if they lose money when others are making money. All strategies have periods of underperformance.
What are the risks associated with dual momentum investing?
There is some risk that momentum will attract substantial capital and not work as well in the future because of too many participants. But the stock indices we use are much more scalable than individual stocks.
Much of the short-term volatility of the stock market still exists with dual momentum. There are re-entry lags when a new bull market begins after being in bonds during bear markets. You should expect this from our public dual momentum models. I designed our proprietary models to reduce these transitional lags.
If you invest with dual momentum after the stock market has appreciated, you risk losing substantial capital rather than just profits if there is a swift downturn in the market.
There is also the risk of tracking error. Our Global Equities Momentum (GEM) model underperformed its benchmarks in 1979-80 and 2009-11. No strategy outperforms all the time. Investors should understand that. Future drawdowns may be larger than those in the past. Please see our Disclaimer page for additional risk factors.
How many sectors does your Dual Momentum Sector Rotation (DMSR) model invest in?
The number of sectors depends on one’s attitude toward reward and risk. Fewer sectors mean higher expected returns and higher volatility. You can search for parameters to create a sector rotation model suited to your individual risk preferences. Be aware though, that data-mined parameters may not hold up well out-of-sample.
I show here the performance of DMSR using additional data since my book was published. DMSR no longer looks as attractive as broader-based dual momentum models like GEM.
Using data back to 1801, Geczy and Samonov (2015) show that momentum with geographically diversified stock indices outperforms momentum with sectors, as well as individual stocks, currencies, bonds, and commodities. This may be because home country bias keeps investors from investing much in more attractive geographic areas, thus creating abnormal profits for those who do.
What about using emerging markets as a separate asset within GEM?
What other investments would complement your dual momentum models as good diversifiers?
Is it better to use a combination of lookback periods rather than a single one?
There may be some advantages in doing so if done intelligently. There are tradeoffs that need to be considered when you add complexity to a model. See here for more on this.
Why don’t you invest in long-term Treasury bonds when you are out of stocks since they are negatively correlated?
Source: Graham Capital Management Research Note, September 2017
Long-term bonds have considerable duration risk. During times of crisis, investors usually prefer safe harbor assets with little risk of any kind. See here for more on why long-term bonds may not be the best safe harbor asset.
I like your Global Balanced Momentum (GBM) model because it holds both stocks and bonds simultaneously. What can I do along those lines?
What about using leading economic indicators, such as the unemployment rate, to predict recessions and time stock market exposure?
The stock market itself is a leading economic indicator. There are potential data snooping and selection bias issues when you add additional indicators or parameters.
What are the differences between your published and proprietary models?
Recently, we added Bitcoin and Ethereum cryptocurrency models as diversifiers. See the Proprietary Models page or contact us for more information on our proprietary models.
My 401K plan does not include an all-country world stock fund ex-US. What can I use instead?
Most 401K plans include a fund for non-U.S. stocks. You could use that. If your 401k has an emerging market fund, you could create a synthetic ex-U.S. all country world fund by allocating 15-20% to the emerging market fund and 80-85% to a non-U.S. developed markets fund. You could still derive signals from an ex-U.S. all-country world stock ETF as shown in my book.
What do you think of shorting the stock market instead of buying bonds when stocks become weak?
Are there any outside validations of your GEM model?
There are a number of them mentioned in the reviews of my book and on the internet. Two of them are here and here. If you are still skeptical, you can do your own backtesting with ETFs or mutual funds using Portfolio Visualizer. You should use an S&P 500 fund to determine “single absolute momentum.” Mutual funds have a longer history than ETFs. You could use VFINX, VWIGX, and VBMFX to get results back to 1987. These results are approximate and somewhat different from what you would get using ETFs or indices.
I’ve seen dual momentum signals on the internet where they use an MSCI EAFE ETF rather than an MSCI ACWI ex-U.S. ETF. What do you think of that?
ACWI ex-US and EAFE performance may appear similar. But ACWI ex-US has gained more in up markets and has lost more in down markets than EAFE. We designed dual momentum to capture the upside and avoid much of the downside. So there is a significant difference in performance when using dual momentum. EAFE is also slower than ACWI ex-U.S. in switching to non-U.S. stocks when they become stronger than U.S. stocks. So switching times are different.
It is also misleading when others say that there is little difference in performance by looking back to 1970 or earlier since MSCI didn’t track emerging markets before 1988. There was no difference in performance before 1988 since ACWI ex-U.S. did not exist before then, That is irrelevant to conditions now. Holding all else constant, GEM earned 130 basis points more in annual return using MSCI ACWI ex-U.S. rather than MSCI EAFE from when the ACWI ex-U.S. index was created by MSCI. I see no valid reason to invest with MSCI EAFE which has had considerably lower returns than MSCI ACWI ex-U.S in GEM.
Why do you backtest on index data instead of ETF or mutual fund data?
One reason is that there is a lot more index data history. Another is that non-U.S. stock ETFs and mutual funds (as well as index data using net instead of gross returns) withhold 30% of their dividend income for foreign taxes. These are often recoverable by investors as a tax credit. Even if they were not, to get accurate relative strength signals, you would need to deduct 30% of the dividends from U.S. indices or ETFs.
Expense ratios can also distort the relative performance between assets. Momentum decisions should be based only on asset performance. The markets do not care about taxes or other expenses.
Are there any websites you recommend that provide dual momentum signals?
Some do, but they impose their own ideas often without good reasons for their changes. You can easily determine the signals yourself with the information in Chapter 8 of my book. Alternatively, you can use a free Morningstar or ETF Screen portfolio to determine the GEM signals.
Which do you apply first, relative momentum or absolute momentum?
I show dual momentum both ways in my book. It may be better to apply relative momentum first if you are using several assets. If you are only using the S&P 500 and non-U.S. stocks, then it is usually better to apply absolute momentum first. On page 98 of my book, I first determine absolute momentum using the S&P 500 index since the U.S. leads world equity markets.
Have you looked at whether there is a best time of the month to rebalance your portfolios?
GEM has had some close signals for switching in and out of stocks. What do you do then?
Our published results are based on month-end closing prices. I have tested using a 50/50 allocation to stocks and bonds when the signal is close. Results are about the same as following the signal precisely. To reduce feelings of regret no matter what happens, you can use this approach. Another possibility is to wait a few days and see which way the signal goes.
Why do you subtract Treasury bill returns from the S&P 500 returns to determine absolute momentum?
The idea behind absolute momentum is to look at the return of the S&P 500 above the risk-free return. If the risk-free return is greater, you stay in bonds until stocks show a positive excess return. There is no reason to bear the risk of stocks when you could earn a better return from Treasury bills without downside risk.
I saw something called Accelerating Dual Momentum that evolved from your GEM model. What do you think of it?
It looks like the GEM model has underperformed the S&P 500 after 2009. Is momentum still effective?
Dual momentum has a trend following component that lags when a new bull market begins. That is the cost of avoiding the carnage of the preceding bear market. It is unfair to look only at a new bull market without also considering the preceding bear market. You need to consider at least a full market cycle to make a proper evaluation of performance. GEM has outperformed its benchmark portfolio since 2008, which includes a full market cycle.
You also need to understand how GEM has outperformed over the long run. First, there are the profits from switching between U.S. and non-U.S. stocks. Since 2009, U.S. stocks have continuously outperformed non-U.S. stocks. So there has been little opportunity for relative strength profits. Second, this bull market has been one of the longest in history. This means there has also been no opportunity for absolute momentum profits. It is difficult for any trend-following approach to keep up with the stock market when it is so strong. You could say that GEM has lost its effectiveness if you believe U.S. stocks will always outperform non-U.S. stocks or there will never be another bear market.
Our proprietary models use variations of dual momentum and are more adaptive to changing market conditions.
How tax-efficient is GEM?
Why does a subscription site that tracks quantitative models show a lower return than you have for GEM?
They use net rather than gross returns for non-U.S. index data. Net returns have a 30% reduction in dividends to account for foreign tax withholding. This puts GEM at a disadvantage to models that are not invested in foreign ETFs. If you are going to account for taxes, you should apply the adjustments to all indices and ETFs instead of penalizing only models that invest globally.
The main reason for the difference is their use of MSCI EAFE rather than MSCI ACWI ex-U.S. They say there is not much difference in performance between the two indices. That is close to being true only if you look at both bull and bear markets. But dual momentum tries to bypass bear markets while participating fully in bull markets. Dual momentum has done much better using ACWI ex-U.S. rather than MSCI EAFE since ACWI ex-U.S. is more volatile than the EAFE. GEM has also switched into non-U.S. stocks quicker using ACWI ex-U.S. rather than EAFE.
Overall, using MSCI EAFE instead of MSCI ACWI ex-U.S. decreases GEM’s diversification and has lowered its return by 130 bps annually since MSCI ACWI ex-U.S. became usable in 1989. This site does not penalize other models accordingly. Those models can benefit from emerging market ETFs and indices.
I read a paper where they use an ensemble mix of lookback periods from 1 to 18 months. What do you think of this?
There is some benefit in using a modest number of lookback periods. We use different lookback periods in our proprietary models. But we select them based on logical reasons, not randomly. Reducing specification risk by incorporating other factors or different trading approaches as we do makes more sense than using an array of lookback periods that are highly correlated.
Also, you cannot correctly judge the probability of something happening after it has already happened. You need to look at results out-of-sample. A 12-month lookback has more out-of-sample validation than any other lookback period. It was first introduced by Cowles & Jones in 1937 and validated by Jegadeesh & Titman in their seminal 1993 study. Other examples are in this blog post, including validation back to the year 1223.
What do you think of the iShares Edge MSCI USA Momentum Factor ETF (MTUM)?
Stock valuations look now high, and bond yields are low. Will this adversely affect dual momentum returns?
High stock valuation levels can mean lower expected stock returns, and low bond yields usually point to lower future bond returns. But stocks and bonds still fluctuate and can create opportunities. In 2000, there were also high stock market valuations and low bond yields. But our GEM model had a compound annual return of 11.6% over the next 10 years, whereas a 60/40 stock/bond portfolio returned only 2.5%.
Will dual momentum will lose its effectiveness if more people start using it?
Any anomaly can lose profitability if it becomes too widely followed. However, the behavioral basis behind momentum is strong and persistent. Human nature does not readily change.
The same biases that make dual momentum work also keep investors away from it. This is especially true of institutional investors, who often have an aversion to tactical approaches.
Shleifer and Vishny (1997) show that asset managers are afraid of strategies that deviate much from popular benchmarks because investors may leave following periods of underperformance. This can create career risk. Home country bias is also a strong disincentive to invest in this way. It keeps investors from having as much with non-U.S. stocks when they are stronger than U.S. stocks.
The performance of actively managed funds is inferior to passively managed funds. People have known about that since the 1960s. Yet over 70% of all domestic equity funds are still actively managed. Dual momentum investing may very well show the same disconnect.
How do you determine the best lookback periods for your models? Won’t shorter lookback periods get you in and out of the market sooner?
Academic research shows that over the long run, momentum for stocks works best with a lookback period of 3 to 12 months. Longer lookback periods minimize transaction costs and increase the likelihood of long-term capital gains.
A 12-month look back was found to work well by Cowles & Jones in 1937. It has held up well ever since. Staying with this look-back period reduces concerns about data mining and seasonality bias.
A 3-month look-back has worked well with GEM back to 1979. But over a longer period, a 12-month look back performed better. See our blog post “Perils of Data Mining” for more on this.
Some investors skip the last month when applying momentum. Why don’t you do that?
It makes sense to skip the last month when you are applying momentum to individual stocks because they can overreact to news and then mean revert. If you use stock indices or other asset classes like we do, you do not need to skip the last month.
Why do you use momentum with stock indices instead of individual stocks?
See here for why we prefer to use momentum with indices instead of stocks. According to this study, stock momentum profits have been insignificant since 1999. According to another study, momentum profits disappeared in the early 1990s. There is also the matter of transaction costs. See here for the most recent research on that. For more on stock momentum, see our review of the book Quantitative Momentum.
Why does the performance of GEM begin in 1950 on your website but in 1974 in your book?
The lack of non-U.S. stock index data constrained us when I wrote my book. Additional data we gained since then has validated the outperformance of GEM. In addition, Geczy & Samonov (2015) found both relative strength and absolute momentum to outperform buy and hold when tested back to 1801. Absolute momentum showed superior returns and less downside risk going back to the beginning of stock trading in the 1600s and to 1223 with other assets in Greyserman & Kaminski’s book.
Isn’t value investing the opposite of momentum investing? How can both be valid?
Value and momentum operate on different time frames. Value is based on longer-term mean reversion, while momentum relies on intermediate-term (usually 3 to 12 months) serial correlation.
Why don’t you apply relative momentum instead of dual momentum to stocks and bonds?
Over the long run, dual momentum performs better. Historically, stocks provide the best returns. So we want to be in them as long as their trend is positive. We use absolute momentum to tell us that. Once we decide to be in stocks, we use relative momentum to tell us whether to be in U.S. or non-U.S. stocks.
Why do you use absolute momentum for trend following instead of moving averages?
Moving averages and other forms of trend following also work. But Zakamulin showed that absolute momentum outperformed 3 different moving averages on 155 years of stock market index data. Absolute momentum and reverse exponential moving averages were the only two methods that outperformed the market with statistical significance.
When I backtested GEM there were some months GEM was in foreign stocks, but you show it in aggregate bonds. Why is that?
On page 98 of my book, I first determine absolute momentum using the S&P 500 index since the U.S. leads world equity markets. I also cite a supporting reference. By doing so, you may occasionally be in aggregate bonds when the trend in U.S. stocks is down, even when non-U.S. stocks are the strongest asset. On page 101 of my book, there is a flowchart that applies relative momentum before absolute momentum for those who prefer doing momentum that way.
Do you apply absolute momentum before you apply relative momentum or afterward?
See my answer to the above question. I prefer to apply absolute momentum before relative momentum.
What about using stop-losses with dual momentum?
Investors once thought stop-losses reduce return when they reduce risk exposure. But more recent research shows that stops can actually enhance return if we use them with care. I have a blog post that discusses this. We found dual momentum more effective than stop losses in reducing risk exposure and enhancing expected return. Stops add little or no value when using dual momentum.
Since momentum works best geographically, why not use it with individual country ETFs?
How do leveraged ETFs perform with dual momentum? And what about margin?
Most leveraged ETFs use daily resets which make them best suited for day trading. Tracking errors can be considerable. Investors may receive much lower returns than they expect. Daily resets are also not tax-efficient since leveraged ETFs give mostly short-term capital gains and losses.
We designed our models to be in tune with major market movements. There is still considerable short-term volatility with dual momentum. Intra-month drawdowns over 20% have occasionally occurred, and larger ones may happen in the future. Investors should consider that before using leverage.
Have you looked at inverse equity ETFs instead of using bond ETFs when absolute momentum tells you to exit stocks?
Equities are our core assets because they offer the highest long-run risk premium. Shorting stocks is, therefore, climbing an uphill battle. We want every advantage we can get by having the equity risk premium on our side to serve as a tailwind for future performance.
There are also higher costs associated with inverse ETFs. You can own an S&P 500 ETF for an annual expense of 3 basis points, while the expense ratio of an S&P 500 inverse ETF can be 89 basis points or higher.
Because stocks have an upside bias and our models are slow-moving, there is often not that much profit from short positions by the time you enter and exit. The average bull market since 1942 has lasted 32 months, while the average bear market has lasted only 12 months. Switching to bonds during stock market weakness identified by dual momentum has historically done better than being short the stock market.
There are international stock index ETFs that hedge their currency exposure. What about using these with GEM?
There is a tendency for international stocks to outperform U.S. stocks when the U.S. dollar is weak and non-U.S. currencies are strong. This lets us profit from the strength in non-U.S. currencies. When non-U.S. currencies are weak, GEM is usually out of international stocks. There is thus little reason to use hedged ETFs. GEM automatically deals with and can profit from exchange rate exposure.
Is international diversification still beneficial now that more companies are globalized?
Low correlation across global stocks is not the main source of relative momentum profits. The benefits come more on a global macro level from performance differences between the U.S. economy (reflected in the strength or weakness of the U.S. dollar) versus the rest of the world. See the chart in the previous answer. Strong home country bias keeps investors from investing as much as they might otherwise invest in non-U.S. stocks. We do not have that bias and can instead profit by going against it.
What is the best way for non-U.S. Based investors to use dual momentum?
We have a blog post called “Dual Momentum for Non-U.S. Investors” that discusses this in detail.
Is it better to scale into dual momentum or to invest all at once?
If stocks have been up a lot recently, it might make sense to wait a little to avoid possible short-term mean reversion pullbacks. Because everyone has different risk preferences, when you act is an individual decision.
Do you wait until the next day to trade after you get your signals?
If you want to trade the same day as your signals instead of waiting until the next day’s open, you can set up a chart on SharpCharts that updates in real-time during trading hours. You can then get your signals just before the markets close. SharpCharts is easy to use since it defaults to a one-year lookback. You can bookmark and use the same chart each month to get your GEM signals. Newer printings of my book suggest using SharpCharts instead of PerfCharts, which lag a day behind the data.
What are momentum crashes, and do I need to worry about them?
Momentum crashes are caused by the short side of long/short momentum portfolios suffering large losses when stocks rebound sharply off V-shaped market bottoms. This happened in 1932 and 2009. Since we do not hold short positions, momentum crashes are irrelevant to us.
There is a dual momentum ETF using a large number of lookback periods and frequent rebalancing. What do you think of it?
I would never pay 87 bps per year to invest in a fund that is likely to give a return no higher than what you easily earn yourself with GEM. This ETF is supposed to offer more consistency than simple dual momentum. But diversifying with non-correlated assets or different strategies is more effective than their strategy of using correlated lookback periods for diversification. My proprietary models diversify with additional assets and different dual momentum trading approaches. Contact us for more information.
Can dual momentum be used with markets other than stocks and bonds?
Both absolute and relative momentum has worked well with different assets for more than 200 years. But stock indices have historically given the best returns.
How has dual momentum done when applied to the bond market?
Dual momentum has done well when used with bonds. We apply dual momentum to bonds in our proprietary models. The lookback periods are different, and there are more sectors to evaluate. This requires some due diligence. That is why we designed GEM to use aggregate bonds.
With bonds being in a bull market over the past 35 years, does the use of aggregate bonds with GEM overstate future expected performance?
GEM has been in bonds less than 30% of the time. Bonds have been responsible for only 20% of GEM’s profits.
Aggregate bonds have an average duration of around 6 years. They are not as sensitive to interest rate changes as longer-duration bonds. More than 60% of their holdings are government debt. The remaining bonds are investment-grade spread out over 6800 holdings. This means their credit risk is minimal. As the chart below shows, their returns have been relatively steady under varied market conditions. 
Absolute momentum exits equities and enters bonds when it identifies a bear market in stocks. This often happens early in a recession. That usually leads to falling aggregate demand falls and the FED lowering interest rates. When stocks are weak, there is also a tendency for investors to move their capital from stocks to bonds. This also increases the demand for bonds.
GEM aims to be totally in bonds when stocks are in a bear market. You can see below how intermediate bonds have performed during those times.
We think it is reasonable to accept a little duration risk during bear markets in stocks. If you disagree, you can substitute shorter-term government bonds or Treasury bills with a modest reduction in expected return. We use a variety of bond sectors and cash equivalents in our proprietary models.
