The Frequency of Financial Analysts' Forecast Revisions: Theory and Evidence About Determinants of Demand for Predisclosure Information
Craig W. Holden
Indiana University Bloomington - Department of Finance
Pamela S. Stuerke
University of Missouri at Saint Louis
Journal of Business Finance & Accounting, Vol. 35, Issue 7-8, pp. 860-888, September/October 2008
A fundamental property of a financial market is its degree of price informativeness. A major determinant of price informativeness is predisclosure information collected by financial analysts and then privately disseminated to clients, who make the recommended trades. We develop a dynamic model of the analyst's optimal strategy of forecast revision frequency with endogenous analysts and endogenous traders. We then empirically test the model's predictions. We find that forecast revision frequency is positively associated with earnings variability, trading volume, and earnings response coefficients, and negatively associated with skewness of trading volume. Thus, we find strong empirical support for our dynamic model.
Number of Pages in PDF File: 29Accepted Paper Series
Date posted: October 2, 2008
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