Getting bad news out early: does it really help stock prices?
AbstractIn this paper, we examine the stock price benefit of meeting or beating earnings expectations. Using a general methodology, we find no evidence that the timing of earnings news has any benefit for firms' stock returns. In fact, in many cases we find firms attempting to engineer positive earnings surprises by beating down expectations only to discover that their efforts are counterproductive. Our results appear to overturn the findings of previous authors who, using less general methodologies, have suggested that firms can boost their stock returns by getting bad news out early. Our results are robust across time periods, for different scaling factors on earnings revisions and surprises, when controlling for firm size and growth prospects, and when conditioned on past earnings news.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2003-58.
Date of creation: 2003
Date of revision:
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hardle, W., 1992.
"Applied Nonparametric Methods,"
9206, Tilburg - Center for Economic Research.
- Hardle, W., 1992. "Applied Nonparametric Methods," Discussion Paper 1992-6, Tilburg University, Center for Economic Research.
- Wolfgang Hardle & Oliver Linton, 1994. "Applied Nonparametric Methods," Cowles Foundation Discussion Papers 1069, Cowles Foundation for Research in Economics, Yale University.
- HÄRDLE, Wolfgang, 1992. "Applied nonparametric methods," CORE Discussion Papers 1992003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hardle, W., 1992. "Applied Nonparametric Methods," Papers 9204, Catholique de Louvain - Institut de statistique.
- Cleveland, William S. & Devlin, Susan J. & Grosse, Eric, 1988. "Regression by local fitting : Methods, properties, and computational algorithms," Journal of Econometrics, Elsevier, vol. 37(1), pages 87-114, January.
- Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
- Oliver LINTON, .
"Applied nonparametric methods,"
Statistic und Oekonometrie
9312, Humboldt Universitaet Berlin.
- Vahid Biglari Author_Email: email@example.com & Gurcharan Singh Pritam Singh, 2011. "The Effect Of Market Incentives On Analyst Forecast Management And Analyst Forecast Error," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-215, Conference Master Resources.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kris Vajs) The email address of this maintainer does not seem to be valid anymore. Please ask Kris Vajs to update the entry or send us the correct address.
If references are entirely missing, you can add them using this form.