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Dividend Dynamics, Learning, and Expected Stock Returns, Journal of Finance

Abstract

We present a latent variable model of dividends that predicts, out-of-sample, 39.5% to 41.3% of the variation in annual dividend growth rates between 1975 and 2016. Further, when learning about dividend dynamics is incorporated into a longrun risks model, the model predicts, out-of-sample, 25.3% to 27.1% of the variation in annual stock index returns over the same time horizon, and learning contributes approximately half of the predictability in returns. These findings support the view that both investors' aversion to long-run risks and their learning about these risks are important in determining the stock index prices and expected returns.

Type

Article

Author(s)

Ravi Jagannathan, Binying Liu

Date Published

2018

Citations

Jagannathan, Ravi, and Binying Liu. 2018. Dividend Dynamics, Learning, and Expected Stock Returns. Journal of Finance.

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