by Corey Hoffstein, Newfound Research
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This blog post is available as a PDF here.
As an investment strategy, momentum should be agnostic of valuations. Caring only about prior returns, whether total return changes comes from yield, earnings growth, or valuation changes, matters little.
Being agnostic, however, does not mean that the strategy does not have first-order effects in the dimension of valuations.
Consider that, generally, momentum will buy appreciating assets (either relative or absolute, depending on whether we are talking about relative momentum or trend-following) and avoid depreciating assets. We would expect that at least some of that appreciation or depreciation would come from multiple expansion or contraction.
To quote a recent Morgan Stanley Research Foundation piece,
With absolute market valuations at historically high levels, can the first-order effects of momentum in the value dimension help momentum diversify re-pricing risk?
Valuation Data and Assumptions
To explore this idea, we used sector and industry group data (30 unique sectors) from the Kenneth French data library.
Without the availability of traditional value measures, we must use an easily available proxy. In this analysis, we use dividend yield. We defend this choice for multiple reasons:
Under these assumptions, yield is proportional to commonly quoted valuation metrics: book-to-market and earnings yield. We argue, therefore, that by normalizing yield relative to historical levels, we can approximate relative valuation changes over time.
Each month, we compute a valuation z-score by evaluating current yield versus yields over the prior decade. This z-score is then turned into a percentile.
Relative Momentum
To explore the first-order effects of relative momentum on valuation exposure, each month we sorted the 30 sectors by their relative momentum (using standard 12-1 month total returns) and then evaluated the change in valuation percentile over the next 1-month period.
The long-term averages are reported below.
Source: Kenneth French Data Library. Calculations by Newfound Research.
What we can see is that those sectors exhibiting low relative momentum (1-5) generally saw their valuation percentile increase over the next month by 0.5-1.0%. On the other hand, those sectors exhibiting high relative momentum (25-30) saw their valuation percentile decrease over the next month by an average of 0.5-1.0%.
It is important to remember here that valuation percentiles increase means that the security is getting cheaper while decreasing percentiles indicate a security that is getting more expensive.
If relative momentum were truly value agnostic we would expect all of these values to be near zero.
The take away is that relative momentum provides exposure to securities that are getting more expensive while avoiding those getting cheaper.
Of course, long-run averages going back eighty years do not help set short-term expectations. Below, we’ve plotted the rolling 3-year spread between the average change of high momentum sectors (ranked 20-30) and low momentum sectors (ranked 1-10).
Source: Kenneth French Data Library. Calculations by Newfound Research.
What we see is a volatile, yet fairly consistent negative spread, indicating that relative momentum will put you in sectors getting more expensive and avoid sectors getting cheaper.
Trend Following
While theoretically relying on similar behavioral biases, trend-following invests in those securities exhibiting positive prior returns and avoids those exhibiting negative prior returns (hence its alternative names of time-series momentum and absolute momentum).
In this study, we use a simple metric to identify if a sector is exhibiting a positive trend or not: whether it is above its 10-month moving average. If the sector is above its 10-month moving average, the next month is identified as being a period of positive trend.
Because there may exist periods where all sectors are exhibiting positive trends or all sectors exhibiting negative trends, computing a rolling spread change, as we did with relative momentum, is less informative.
What we can look at, however, is the average results by sector and decade.
First, the average monthly valuation percentile change for periods identified as positive trends.
1930s
1940s
1950s
1960s
1970s
1980s
1990s
2000s
Food
-2.12%
-0.84%
-0.94%
-0.03%
-0.91%
-0.96%
-0.39%
-0.15%
Beer
-2.47%
-0.59%
-1.19%
-0.68%
-0.54%
-0.85%
-0.14%
0.29%
Smoke
-1.94%
-0.25%
-1.96%
0.25%
-0.65%
-1.09%
-0.62%
-0.90%
Games
1.48%
-0.59%
-0.75%
-0.22%
-0.82%
-0.88%
-0.26%
1.07%
Books
-2.36%
-0.80%
-0.90%
0.09%
-0.94%
-1.10%
-0.46%
0.92%
Hshld
0.21%
-0.53%
-0.79%
0.01%
-0.58%
-0.95%
-0.13%
0.56%
Clths
0.57%
-0.41%
-1.24%
-0.20%
-0.58%
-0.98%
0.05%
-0.20%
Hlth
-1.03%
-0.26%
-1.35%
-0.02%
-0.32%
-0.88%
-0.59%
0.61%
Chems
0.13%
-0.44%
-0.63%
-0.53%
-1.51%
-0.50%
-0.90%
-0.67%
Txtls
-2.23%
-0.78%
-1.30%
-0.93%
-0.30%
-0.95%
-0.04%
-1.53%
Cnstr
-1.80%
-0.18%
-1.02%
-0.85%
-0.16%
-0.27%
-0.06%
-1.33%
Steel
-0.95%
-0.03%
-1.02%
-0.44%
-0.25%
-1.25%
-0.33%
-2.24%
FabPr
-2.87%
0.06%
-1.00%
-0.57%
-1.41%
-2.46%
-0.43%
0.24%
ElcEq
-1.98%
-0.43%
-0.78%
-0.79%
-0.54%
-0.93%
-0.72%
-0.19%
Autos
-1.03%
-0.30%
-0.90%
0.04%
-1.39%
-0.37%
-0.38%
-1.73%
Carry
-3.56%
0.33%
-0.90%
-0.10%
-1.22%
-1.70%
-0.31%
-0.31%
Mines
-1.42%
-1.24%
-0.28%
-0.45%
-0.57%
-1.44%
-1.46%
0.07%
Coal
1.76%
0.04%
-0.86%
-0.60%
0.70%
-1.16%
0.28%
0.38%
Oil
-1.96%
-0.39%
-0.87%
-0.80%
-1.24%
-1.09%
-0.77%
-0.08%
Util
-1.42%
-1.05%
-0.54%
0.50%
-0.26%
-1.04%
-0.24%
-0.14%
Telcm
-1.31%
-0.58%
-0.71%
0.34%
-0.16%
-0.97%
-0.19%
-0.26%
Servs
-4.43%
-0.31%
-0.60%
-0.18%
-0.06%
-0.65%
-0.55%
0.48%
BusEq
-3.31%
-0.53%
-0.66%
0.12%
-1.07%
-1.25%
-0.27%
0.76%
Paper
-2.25%
-0.56%
-0.96%
-0.47%
-1.51%
-0.95%
-0.23%
-0.83%
Trans
-1.72%
-0.39%
-1.41%
-0.46%
-1.11%
-0.56%
-0.44%
0.78%
Whlsl
-3.03%
-1.28%
-0.61%
-0.25%
-0.05%
-1.13%
-0.37%
-0.52%
Rtail
-1.17%
-0.81%
-1.06%
-0.34%
-0.86%
-0.91%
-0.25%
0.92%
Meals
-7.89%
-0.16%
-0.87%
0.00%
-0.26%
0.11%
-0.22%
0.79%
Fin
-0.51%
-0.89%
-0.70%
-0.57%
-0.93%
-1.71%
-0.34%
-0.70%
Other
1.25%
-0.22%
-0.72%
-0.27%
-0.51%
-0.79%
-0.92%
-0.29%
We see, by in large, that regardless of sector or decade, periods of positive trends were periods of valuation multiple expansion.
Not surprisingly, we see the opposite for periods of negative trends.
1930s
1940s
1950s
1960s
1970s
1980s
1990s
2000s
Food
0.35%
2.24%
0.33%
1.35%
2.94%
0.68%
1.31%
2.67%
Beer
-0.24%
1.85%
1.23%
2.44%
1.53%
0.32%
0.58%
1.47%
Smoke
1.09%
1.75%
3.47%
1.66%
2.06%
1.18%
3.10%
2.29%
Games
0.18%
1.92%
-0.85%
0.67%
2.20%
-0.06%
0.77%
-0.17%
Books
1.37%
2.06%
0.41%
0.54%
3.04%
0.78%
0.97%
0.67%
Hshld
-1.19%
1.99%
-0.53%
0.52%
2.17%
0.04%
0.63%
1.14%
Clths
0.01%
2.40%
0.62%
0.55%
2.40%
0.57%
-0.13%
2.19%
Hlth
-0.13%
1.63%
2.28%
0.40%
2.32%
0.73%
1.43%
1.00%
Chems
0.65%
2.15%
-1.15%
2.56%
2.48%
0.92%
0.94%
3.40%
Txtls
-0.13%
2.74%
0.21%
2.58%
1.45%
0.45%
1.18%
0.93%
Cnstr
0.68%
1.51%
0.58%
1.73%
2.12%
-1.75%
0.14%
2.55%
Steel
1.88%
1.26%
0.55%
1.90%
0.54%
1.42%
-0.01%
4.80%
FabPr
2.39%
1.54%
0.53%
1.44%
4.35%
3.56%
-0.15%
1.74%
ElcEq
1.98%
1.41%
-0.06%
1.93%
2.10%
1.07%
2.16%
2.36%
Autos
1.16%
1.66%
0.12%
2.02%
1.51%
0.49%
-0.34%
1.28%
Carry
3.02%
0.50%
0.77%
0.99%
3.16%
2.12%
0.63%
2.41%
Mines
5.22%
1.37%
-0.83%
1.52%
2.50%
0.48%
1.81%
-0.34%
Coal
2.25%
0.81%
-0.24%
1.08%
0.83%
-0.10%
-0.29%
0.31%
Oil
1.82%
2.62%
0.04%
2.86%
3.30%
2.97%
0.47%
2.79%
Util
3.40%
1.11%
1.17%
1.47%
0.29%
0.90%
0.92%
2.34%
Telcm
2.08%
2.03%
0.62%
1.54%
0.44%
0.32%
0.46%
1.77%
Servs
-0.17%
1.79%
-1.94%
0.53%
1.67%
0.33%
1.16%
0.43%
BusEq
2.13%
2.14%
1.02%
1.29%
2.26%
0.32%
0.55%
0.68%
Paper
0.68%
2.53%
0.72%
1.38%
3.48%
0.47%
0.47%
3.04%
Trans
3.33%
1.51%
1.67%
1.09%
2.58%
0.14%
0.33%
0.76%
Whlsl
0.00%
1.98%
0.06%
0.82%
1.66%
0.72%
0.63%
2.64%
Rtail
-0.49%
2.39%
1.28%
1.27%
2.58%
0.27%
0.30%
0.54%
Meals
0.32%
1.63%
0.46%
0.06%
1.99%
-2.58%
0.23%
0.63%
Fin
0.71%
1.56%
0.93%
1.80%
3.49%
2.11%
1.53%
1.14%
Other
-0.35%
1.02%
-0.42%
0.98%
1.56%
1.88%
0.49%
1.78%
As in the relative momentum case, buying positively trending assets and avoiding negatively trending ones has historically helped avoid falling knives and value traps.
Conclusion
While most investors explore the addition of an investment strategy for its return merits, we believe that an additional reason to consider a momentum strategy is for its potential diversification and hedging benefits. To quote Morgan Stanley,
Client Talking Points