Take Action

Home | Faculty & Research Overview | Research

Research Details

Dividend Dynamics, Learning, and Expected Stock Index 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 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, with learning contributing approximately half of the predictability in returns. These findings support the view that investors’ aversion to long-run risks and their learning about these risks are important in determining stock index prices and expected returns.

Type

Article

Author(s)

Ravi Jagannathan, Binying Liu

Date Published

2019

Citations

Jagannathan, Ravi, and Binying Liu. 2019. Dividend Dynamics, Learning, and Expected Stock Index Returns. Journal of Finance. 74(1): 401-448.

KELLOGG INSIGHT

Explore leading research and ideas

Find articles, podcast episodes, and videos that spark ideas in lifelong learners, and inspire those looking to advance in their careers.
learn more

COURSE CATALOG

Review Courses & Schedules

Access information about specific courses and their schedules by viewing the interactive course scheduler tool.
LEARN MORE

DEGREE PROGRAMS

Discover the path to your goals

Whether you choose our Full-Time, Part-Time or Executive MBA program, you’ll enjoy the same unparalleled education, exceptional faculty and distinctive culture.
learn more

Take Action