• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • Tagged with
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

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

Bolster, Paul J. January 1985 (has links)
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.

Page generated in 0.0435 seconds