The Risk in Low-Variance Anomaly

51 Pages Posted: 13 Nov 2019 Last revised: 14 Jan 2020

See all articles by Sina Ehsani

Sina Ehsani

Northern Illinois University

Date Written: October 18, 2019

Abstract

The low variance (LV) strategy always bets against the volatile leg of common factor-portfolios. Factor loadings of the strategy are thus perfectly predictable based on the status of factor portfolio variances during the formation period. I find that the strategy earns alpha only when traders have to bear major factor risk to arbitrage it away: LV is an anomaly only when it is expected to bet on factor risk. In other times—when low variance means low factor risk—alpha is exactly zero. My results are consistent with models that rationalize anomalies by arbitrageurs reluctance to eliminate mispricing due to factor risk aversion. I use the findings to develop a trading strategy that uses factor data to time LV.

Keywords: Risk Return Trade-off, Volatility Effect, Variance Anomaly, Factor Risk

JEL Classification: G11, G12, G17

Suggested Citation

Ehsani, Sina, The Risk in Low-Variance Anomaly (October 18, 2019). Available at SSRN: https://ssrn.com/abstract=3480257 or http://dx.doi.org/10.2139/ssrn.3480257

Sina Ehsani (Contact Author)

Northern Illinois University ( email )

Chicago, IL 60115
United States

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