Stock Anomaly Smorgasbord–Wow!
Digesting Anomalies: An Investment Approach
- Hou, Xue, and Zhang
- A version of the paper can be found here
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An empirical q-factor model consisting of the market factor, a size factor, an investment factor, and a profitability factor largely summarizes the cross section of average stock returns. A comprehensive examination of nearly 80 anomalies reveals that about one-half of the anomalies are insignificant in the broad cross section. More importantly, with a few exceptions, the q-factor model’s performance is at least comparable to, and in many cases better than that of the Fama-French (1993) 3-factor model and the Carhart (1997) 4-factor model in capturing the remaining significant anomalies
The laundry list of items tested…
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Definitions of common statistics used in our analysis are available here (towards the bottom)