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Labor Income and Predictable Stock Returns

Tano Santos, Pietro Veronesi

📄 Abstract

We propose a novel economic mechanism that generates stock return predictability in both the time series and the cross-section. Investors’ income has two sources, wages and dividends that grow stochastically over time. As a consequence the fraction of total income produced by wages fluctuates depending on economic conditions. We show that the risk premium that investors require to hold stocks varies with these fluctuations. A regression of stock returns on lagged values of the labor income to consumption ratio produces statistically significant coefficients and large adjusted R2s. Tests of the model’s cross-sectional predictions on the set of 25 Fama–French portfolios sorted on size and book-to-market are also met with considerable support.

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