57 Pages Posted: 24 Dec 2013
Date Written: September 30, 2013
Across numerous asset classes, momentum strategies have historically generated high Sharpe ratios and strong positive alphas relative to standard asset pricing models. However, the returns to momentum strategies are negatively skewed: they experience infrequent but strong and persistent strings of negative returns. These momentum crashes are partly forecastable. They occur in what we term “panic” states – following market declines and when market volatility is high, and are contemporaneous with market “rebounds.” We show that the low exante expected returns in panic states result from a conditionally high premium attached to the option-like payoffs of past losers. An implementable dynamic momentum strategy based on forecasts of each momentum strategy’s mean and variance generates an unconditional Sharpe ratio approximately double that of the static momentum strategy. Further, we show that momentum returns in panic states are correlated with, but not explained by, volatility risk. These results are robust across eight different markets and asset classes and multiple time periods.
Suggested Citation: Suggested Citation
Daniel, Kent D. and Moskowitz, Tobias J., Momentum Crashes (September 30, 2013). Swiss Finance Institute Research Paper No. 13-61; Columbia Business School Research Paper No. 14-6; Fama-Miller Working Paper. Available at SSRN: https://ssrn.com/abstract=2371227 or http://dx.doi.org/10.2139/ssrn.2371227
By Andrew Ang
By Meb Faber
By Meb Faber