Abstract

 
 

References (19)



 
 

Citations (18)



 


 



Value Line and I/B/E/S Earnings Forecasts


Sundaresh Ramnath


University of Miami - Department of Accounting

Steve Rock


University of Colorado at Boulder - Department of Accounting

Philip B. Shane


University of Virginia - McIntire School of Commerce; University of Auckland - Faculty of Business & Economics

November 8, 2001


Abstract:     
This paper compares Value Line and I/B/E/S analyst earnings forecasts in terms of accuracy, rationality, and as proxies for market expectations. Using more recent data and forming consensus forecasts from the I/B/E/S detail files, we reach different conclusions than Philbrick and Ricks [1991], who found that Value Line provided more reliable actual EPS data, but forecasts from the two databases were of similar quality. We find that I/B/E/S actual quarterly EPS data are no longer less reliable than Value Line EPS data, and I/B/E/S quarterly earnings forecasts significantly outperform Value Line in terms of accuracy and as proxies for market expectations. We find that I/B/E/S forecasting superiority can be explained by the combination of I/B/E/S's timing advantage and the mitigation of idiosyncratic error through consensus building. We also evaluate long-term forecasts from both databases and find that I/B/E/S forecasts are less biased and more accurate. Our results have implications for research evaluating the information content of quarterly earnings announcements, research using long-term forecasts in valuation models, and research seeking to generalize evidence regarding Value Line analysts' forecasting behavior.

Number of Pages in PDF File: 34

Keywords: Financial analysts' earnings forecasts, Value Line, I/B/E/S, Market earnings expectations, Forecasting databases

JEL Classification: D84, G12, G14, G24, G29, M41

working papers series


Download This Paper

Date posted: December 12, 2001  

Suggested Citation

Ramnath, Sundaresh, Rock, Steve Karl and Shane, Philip B., Value Line and I/B/E/S Earnings Forecasts (November 8, 2001). Available at SSRN: http://ssrn.com/abstract=293389 or http://dx.doi.org/10.2139/ssrn.293389

Contact Information

Sundaresh Ramnath
University of Miami - Department of Accounting ( email )
Coral Gables, FL 33146-6531
United States
305-284-6668 (Phone)
Steven Karl Rock
University of Colorado at Boulder - Department of Accounting ( email )
419 UCB
Boulder, CO 80309-0419
United States
303-735-5009 (Phone)
303-492-5962 (Fax)
Philip B. Shane (Contact Author)
University of Virginia - McIntire School of Commerce ( email )
P.O. Box 400173
Charlottesville, VA 22904-4173
United States
4349243224 (Phone)
4349247074 (Fax)
University of Auckland - Faculty of Business & Economics ( email )
Private Bag 92019
Auckland
New Zealand
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 4,047
Downloads: 1,058
Download Rank: 8,468
References:  19
Citations:  18

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo2 in 1.531 seconds