Skip navigation
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCohen, Daniel A.-
dc.contributor.authorLys, Thomas Z.-
dc.description.abstractAbarbanell 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).en
dc.relation.ispartofseriesDaniel A. Cohen-08en
dc.subjectAnalysts forecastsen
dc.subjectanalysts biasen
dc.subjectanalysts under/overreaction to informationen
dc.subjectanalysts loss functionen
dc.subjectdiscretionary accrualsen
dc.titleA Note on Analysts' Earnings Forecast Errors Distributionen
dc.typeWorking Paperen
Appears in Collections:Accounting Working Papers
Accounting Working Papers

Files in This Item:
File Description SizeFormat 
SSRN-id471322.pdf154.08 kBAdobe PDFView/Open

Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.