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How Does Prior Information Affect Analyst Forecast Herding?
Michele O'Neill,Minsup Song,Judith Swisher 한국재무학회 2008 한국재무학회 학술대회 Vol.2008 No.05
This research uses four different measures of bold to investigate how prior information affects analyst herding decisions. Results for the more restrictive measures of bold suggest that the probability of herding is greater with large information shocks. Evidence also shows that analysts are more likely to herd in their forecast revisions when their current outstanding forecasts deviate more from the consensus mean and in the presence of strong observable signals. In general, analysts with current outstanding forecasts that are optimistic are more likely to issue revised forecasts that are also optimistic.