Professional Expectations: Accuracy and Diagnosis of Errors
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
The purpose of this paper is to analyze the errors made by professional forecasters (analysts) in estimating earnings per share for a large number of firms over a number of years. We have demonstrated in a previous paper that consensus (average) estimates of earnings per share play a key role in share price determination. In this paper, we examine consensus estimates with respect to the following questions: (1) What is the size and pattern of analysts' errors? (2) What is the source of errors? (3) Are some firms more difficult to predict than others? (4) Is there an association between errors in forecasts and divergence of analysts' estimates?
