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Labor Income and Predictable Stock Returns
Authors:Santos, Tano   Veronesi, Pietro
Affiliation:Columbia University and NBER
Abstract:We propose a novel economic mechanism that generates stock returnpredictability in both the time series and the cross-section.Investors’ income has two sources, wages and dividendsthat grow stochastically over time. As a consequence the fractionof total income produced by wages fluctuates depending on economicconditions. We show that the risk premium that investors requireto hold stocks varies with these fluctuations. A regressionof stock returns on lagged values of the labor income to consumptionratio produces statistically significant coefficients and largeadjusted R2s. Tests of the model’s cross-sectional predictionson the set of 25 Fama–French portfolios sorted on sizeand book-to-market are also met with considerable support.
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