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Dynamic forecasting behavior by analysts: Theory and evidence
Authors:Jonathan Clarke  Ajay Subramanian
Affiliation:1. College of Management, Georgia Institute of Technology, Atlanta, GA 30332, USA;2. J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30303, USA
Abstract:We develop a multi-period learning model to examine the relation between analysts’ forecasting behavior and their performance. In a competitive market for banking services, the surplus and the analyst's payoff, which is determined through bargaining, are convex in her reputation. The convexity of her payoff structure and the presence of employment risk lead to a U-shaped relation between the analyst's forecast boldness and prior performance and a positive relation between forecast boldness and experience. We find support for these predictions in our empirical analysis. Significant underperformers (outperformers) face higher (lower) employment risk and are more likely to issue bolder forecasts.
Keywords:G24   D81   M52
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