A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy
California State University, Long Beach
Lawrence D. Brown
University of Illinois at Chicago
Contemporary Accounting Research, Vol. 14, No. 1, Spring 1997
This research re-examines whether there are differences in the forecast accuracy of financial analysts by comparing their annual earnings per share forecasts. The comparison of analyst forecast accuracy is made on both an ex post (within sample) and an ex ante (out of sample) basis. Early examinations of this issue by O'Brien (1990), Richards (1976), Brown and Rozeff (1980), O'Brien (1987), Coggin and Hunter (1989), Butler and Lang (1991) were ex post and suggest the absence of analysts who can provide relatively more accurate forecasts over multiple years.
Contrary to the results of prior research, and consistent with the belief in the popular press, we document that differences do exist in financial analysts' ex post forecast accuracy. We show that the previous studies failed to find differences in forecast accuracy due to inadequate (or no) control for differences in the recency of forecasts issued by the analysts. It has been well documented in the literature that forecast recency is positively related to forecast accuracy (Crichfield, et al, 1978; O'Brien, 1988; Brown, 1991). Thus, failure to control for forecast recency may reduce the power of tests, making it difficult to reject the null hypothesis of no differences in forecast accuracy even if they do exist.
Number of Pages in PDF File: 42
JEL Classification: G29, M41Accepted Paper Series
Date posted: October 16, 1996 ; Last revised: October 21, 2008
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