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Dissecting Anomalies with a Five-Factor Model
Dissecting Anomalies with a Five-Factor Model
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Dissecting Anomalies with a Five-Factor Model

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Dissecting Anomalies with a Five-Factor Model
Dissecting Anomalies with a Five-Factor Model
Journal Article

Dissecting Anomalies with a Five-Factor Model

2016
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Overview
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 averagereturn 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.