用五因子模型剖析异常现象

Dissecting Anomalies with a Five-Factor Model

Review of Financial Studies · 2015
被引 869 · 同刊同年前 4%
人大 AFT50UTD24ABS 4*

中文导读

在Fama-French三因子模型基础上加入盈利能力和投资因子,发现这些因子能解释多个股票收益异常现象,如低β、股票回购和低波动率股票的高收益。

Abstract

A five-factor model that adds profitability (RMW) and investment (CMA) factors to the three-factor model of Fama and French (1993) suggests a shared story for several average-return anomalies. Specifically, positive exposures to RMW and CMA (stock returns that behave like those of profitable firms that invest conservatively) capture the high average returns associated with low market β, share repurchases, and low stock return volatility. Conversely, negative RMW and CMA slopes (like those of relatively unprofitable firms that invest aggressively) help explain the low average stock returns associated with high β, large share issues, and highly volatile returns. Received November 11, 2014; accepted April 27, 2015 by Editor Andrew Karolyi.

五因子模型盈利能力因子投资因子股票收益异常