Predictive Regressions: A Present-Value Approach

Working Paper: NBER ID: w16263

Authors: Jules H. van Binsbergen; Ralph S.J. Koijen

Abstract: We propose a latent variables approach within a present-value model to estimate the expected returns and expected dividend growth rates of the aggregate stock market. This approach aggregates information contained in the history of price-dividend ratios and dividend growth rates to predict future returns and dividend growth rates. We find that returns and dividend growth rates are predictable with R-squared values ranging from 8.2% to 8.9% for returns and 13.9% to 31.6% for dividend growth rates. Both expected returns and expected dividend growth rates have a persistent component, but expected returns are more persistent than expected dividend growth rates.

Keywords: Predictive Regressions; Present-Value Model; Expected Returns; Expected Dividend Growth Rates

JEL Codes: C22; G11; G12; G17


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
expected returns (G17)expected dividend growth rates (G35)
past price-dividend ratios (G35)future expected returns (G17)
past dividend growth rates (G35)future expected returns (G17)
past price-dividend ratios (G35)future expected dividend growth rates (G35)
past dividend growth rates (G35)future expected dividend growth rates (G35)
reinvestment strategy of dividends (G35)volatility of dividend growth rates (G35)
price-dividend ratio (G35)expected returns (G17)
price-dividend ratio (G35)expected dividend growth rates (G35)

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