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- W2337830786 abstract "We run a horse race among eight proposed factors and eight proposed conditioning variables for explaining the cross-section of stock returns. The purpose is to better understand which factors, in combination with which conditioning variables, seem robust in explaining cross-sectional data, and to seek an economic interpretation of the specifications that appear most promising. We find that a consumption growth factor, conditioning on lagged business income growth, is the most successful in explaining cross-sectional variation of average quarterly returns in the 25 Fama-French portfolios." @default.
- W2337830786 created "2016-06-24" @default.
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- W2337830786 date "2008-01-01" @default.
- W2337830786 modified "2023-09-24" @default.
- W2337830786 title "Understanding Cross-Sectional Stock Returns: What Really Matters?" @default.
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