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Journal of Financial and Quantitative Analysis Vol. 40 No. 3 2005

Information Quality, Learning, and Stock Market Returns

George Li

San Francisco State University

Abstract

This paper studies how the precision of noisy public information that investors receive about the expected aggregate dividend growth rate affects stock market returns. I show that less precise information can increase the risk premium and stock return volatility. The numerical results from my calibrated model also show that noisy information can significantly increase the risk premium and stock return volatility. My finding implies that the presence of noisy information may help explain the large average risk premium and return volatility in the U.S. financial market. In addition, my finding suggests it is optimal for firms to disclose to investors more precise information to reduce the cost of equity capital.

DOI
10.1017/s0022109000001885
Volume
40
Issue
3
Pages
595-620
Language
en
Sources
bibtex:phds-export.bib crossref openalex

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