A Note on Analysts' Earnings Forecast Errors Distribution
Daniel A. Cohen
University of Texas at Dallas - Naveen Jindal School of Management
Thomas Z. Lys
Northwestern University - Kellogg School of Management
NYU Working Paper No. 2451/27553
Abarbanell and Lehavy provide evidence that analysts' forecast errors are not normally distributed exhibiting a high occurrence of extreme negative forecast errors (left-tail asymmetry) and a high occurrence of small positive forecast errors (middle asymmetry). This is important for researchers who rely on techniques that are sensitive to the distributional assumptions of analysts' forecast errors. Many of the conclusions drawn by Abarbanell and Lehavy, however, are based on visual impressions (as opposed to formal empirical tests) or based on methods that are very sensitive to the empirical methods used (e.g., whether the serial correlation of forecast errors is caused by the left-tail asymmetry).
Number of Pages in PDF File: 31
Keywords: Analysts forecasts, analysts bias, analysts under/overreaction to information, analysts loss function, discretionary accrualsworking papers series
Date posted: October 8, 2008
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