Do Analysts’ Earnings Per Share Forecasts Contain Valuable Information Beyond One Quarter? The Case of Publicly Traded Agribusiness Firms

Analysts’ forecasting of earnings per share for multiple quarter time horizons of eleven agribusiness companies is evaluated using a mean absolute scaled error and a direct test. Results illustrate that unique information is consistently found. Rational and efficient expectations are formed periodically. Analysts’ performance declines as the time horizon increases.


Issue Date:
Jun 01 2012
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/124480
Total Pages:
2
Series Statement:
Poster P982
P982




 Record created 2017-04-01, last modified 2017-08-26

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