Dividend Dynamics, Learning, and Expected Stock Index Returns / Ravi Jagannathan, Binying Liu.

Format:

Book

Author/Creator:

Jagannathan, Ravi.

Contributor:

National Bureau of Economic Research.

Liu, Binying.

Series:

Working Paper Series (National Bureau of Economic Research) no. w21557.

NBER working paper series no. w21557

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2015.

Summary:

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 long-run 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.

Notes:

Print version record

September 2015.