Return to search

Differential information, divergence of opinion, and security returns in an efficient market

Although there is ample evidence of the heterogeneity of investors' expectations of security returns (Cragg and Malkiel, 1982), few studies have attempted to relate this divergence of investor opinion directly to security returns. Barry and Brown (1984) argue that divergence of investor opinion results from differing levels of estimation risk across securities. Furthermore, their model shows that the OLS estimate of beta, used in most empirical studies requiring excess returns, underadjusts for a security's systematic risk when investors' expectations are highly dispersed and overadjusts when such divergence of opinion is low. This hypothesis is tested in the present study using various measures of divergence of analysts‘ forecasts of earnings per share for individual firms. The results of exhaustive data analysis strongly reject the notion of such a bias in the OLS derived excess returns or in actual returns.

Market reaction to revisions in the mean and standard deviation of analysts' firm-specific forecasts of earnings per share is also examined. Security prices do not appear to react in a systematic manner to revisions in the standard deviation of analysts' forecasts. However, there is evidence of a reaction to revisions in the mean of such forecasts both before and after the publication of this information suggesting that new information is contained in consensus forecasts of earnings per share when released to subscribers. / Ph. D.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/54738
Date January 1985
CreatorsBolster, Paul J.
ContributorsGeneral Business
PublisherVirginia Polytechnic Institute and State University
Source SetsVirginia Tech Theses and Dissertation
Languageen_US
Detected LanguageEnglish
TypeDissertation, Text
Formatx, 153 leaves, application/pdf, application/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/
RelationOCLC# 13194394

Page generated in 0.0021 seconds