Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Testing the Predictive Power of Dividend Yields

Testing the Predictive Power of Dividend Yields ABSTRACT This paper reexamines the ability of dividend yields to predict long‐horizon stock returns. We use the bootstrap methodology, as well as simulations, to examine the distribution of test statistics under the null hypothesis of no forecasting ability. These experiments are constructed so as to maintain the dynamics of regressions with lagged dependent variables over long horizons. We find that the empirically observed statistics are well within the 95% bounds of their simulated distributions. Overall there is no strong statistical evidence indicating that dividend yields can be used to forecast stock returns. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Finance Wiley

Testing the Predictive Power of Dividend Yields

Loading next page...
 
/lp/wiley/testing-the-predictive-power-of-dividend-yields-QtjgHb5t8v

References (26)

Publisher
Wiley
Copyright
1993 The American Finance Association
ISSN
0022-1082
eISSN
1540-6261
DOI
10.1111/j.1540-6261.1993.tb04732.x
Publisher site
See Article on Publisher Site

Abstract

ABSTRACT This paper reexamines the ability of dividend yields to predict long‐horizon stock returns. We use the bootstrap methodology, as well as simulations, to examine the distribution of test statistics under the null hypothesis of no forecasting ability. These experiments are constructed so as to maintain the dynamics of regressions with lagged dependent variables over long horizons. We find that the empirically observed statistics are well within the 95% bounds of their simulated distributions. Overall there is no strong statistical evidence indicating that dividend yields can be used to forecast stock returns.

Journal

The Journal of FinanceWiley

Published: Jun 1, 1993

There are no references for this article.