Aggregating Earnings per Share Forecasts
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CUREJ - College Undergraduate Research Electronic Journal
Degree type
Discipline
Subject
forecast
earnings
earnings per share
research analyst
analyst
aggregate
consensus
Social Sciences
Economics
Schorfheide
Frank
Frak Schorfheide
earnings
earnings per share
research analyst
analyst
aggregate
consensus
Social Sciences
Economics
Schorfheide
Frank
Frak Schorfheide
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Abstract
Research analyst forecast accuracy has been the focus of many studies, but only Brown and Mohammad (2001) consider different ways of weighting individual forecasts to create consensus estimates of earnings per share. I add to the existing literature by suggesting a technique to reduce forecast errors by 29%, which is 13% more accurate than the method employed by Brown and Mohammad.
Advisor
Frank
Schorfheide
Schorfheide
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Publication date
2007-04-01