Combining low-volatility and mean-reversion anomalies: Better together?

Author:

Pätäri Eero1,Ahmed Sheraz1,Lankinen Tuomas1,Yeomans Julian Scott2

Affiliation:

1. LUT Business School, LUT University, Lappeenranta, Finland

2. Schulich School of Business, York University, Toronto, ON, Canada

Abstract

This paper contributes to the existing stock market anomaly literature by being the first to analyze the benefits of combining two distinct anomalies; specifically, the low-volatility and mean-reversion anomalies. Our results show that on a long-only basis, these two time-varying anomalies could be combined into a double-sort investment strategy that includes some desirable characteristics from each of them, thereby making the portfolio return accumulation more stable over time. As the added-value of low-volatility investing stems mostly from the risk-reduction side, while contrarian stocks are generally highly volatile with remarkable upside potential, the use of the double-sort portfolio-formation in which the contrarian stocks are picked from the sub-set of below-median volatility stocks can shorten the below-market performance periods that have occasionally materialized for plain low-volatility or plain contrarian investors.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,Computer Vision and Pattern Recognition,Finance

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