EconPapers    
Economics at your fingertips  
 

Do Investors Overrely on Old Elements of the Earnings Time Series?*

Robert J. Bloomfield, Robert Libby and Mark W. Nelson

Contemporary Accounting Research, 2003, vol. 20, issue 1, 1-31

Abstract: This paper reports an experiment demonstrating that MBA students overrely on old earnings performance when predicting future earnings performance in a laboratory setting. In the experiment, MBA students relied too heavily on old annual ROE information to predict future annual ROE. The experiment shows how a common cognitive error (overreliance on unreliable information) interacts with the structure of the earnings time series to create particular patterns of prediction errors. The results also suggest directions for research on two well†known anomalies, long†run overreactions (De Bondt and Thaler 1985, 1987) and post†earnings†announcement drift (Bernard and Thomas 1990).

Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://doi.org/10.1506/N8T8-9QR7-YUCX-91X2

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:coacre:v:20:y:2003:i:1:p:1-31

Access Statistics for this article

More articles in Contemporary Accounting Research from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-20
Handle: RePEc:wly:coacre:v:20:y:2003:i:1:p:1-31