Understanding Analysts' Earnings Expectations: Biases, Nonlinearities, and Predictability
AbstractThis paper studies the asymmetric behavior of negative and positive values of analysts' earnings revisions and links it to the conservatism principle of accounting. Using a new three-state mixture of lognormal models that accounts for differences in the magnitude and persistence of positive, negative, and zero revisions, we find evidence that revisions to analysts' earnings expectations can be predicted using publicly available information such as lagged interest rates and past revisions. We also find that our forecasts of revisions to analysts' earnings estimates help to predict the actual earnings figure beyond the information contained in analysts' earnings expectations. Copyright The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: email@example.com., Oxford University Press.
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 InfoArticle provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.
Volume (Year): 8 (2010)
Issue (Month): 3 (Summer)
Contact details of provider:
Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK
Fax: 01865 267 985
Web page: http://jfec.oxfordjournals.org/
More information through EDIRC
Other versions of this item:
- Aiolfi, Marco & Rodriguez, Marius & Timmermann, Allan G, 2010. "Understanding Analysts' Earnings Expectations: Biases, Nonlinearities and Predictability," CEPR Discussion Papers 7656, C.E.P.R. Discussion Papers.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
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.:
- Brown, Lawrence D & Rozeff, Michael S, 1978. "The Superiority of Analyst Forecasts as Measures of Expectations: Evidence from Earnings," Journal of Finance, American Finance Association, vol. 33(1), pages 1-16, March.
- Edwin J. Elton & Martin J. Gruber, 1972. "Earnings Estimates and the Accuracy of Expectational Data," Management Science, INFORMS, vol. 18(8), pages B409-B424, April.
- Giacomini, Raffaella & White, Halbert, 2003.
"Tests of Conditional Predictive Ability,"
University of California at San Diego, Economics Working Paper Series
qt5jk0j5jh, Department of Economics, UC San Diego.
- Ferson, Wayne E & Harvey, Campbell R, 1991. "The Variation of Economic Risk Premiums," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 385-415, April.
- Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
- Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
- Glosten, Lawrence R. & Milgrom, Paul R., 1985.
"Bid, ask and transaction prices in a specialist market with heterogeneously informed traders,"
Journal of Financial Economics,
Elsevier, vol. 14(1), pages 71-100, March.
- Lawrence R. Glosten & Paul R. Milgrom, 1983. "Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders," Discussion Papers 570, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Chen, Qi & Francis, Jennifer & Jiang, Wei, 2005. "Investor learning about analyst predictive ability," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 3-24, February.
- Pesaran, M. Hashem & Weale, Martin, 2006.
Handbook of Economic Forecasting,
- Pesaran, M.H. & Weale, M., 2005. "Survey Expectations," Cambridge Working Papers in Economics 0536, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Martin Weale, 2005. "Survey Expectations," IEPR Working Papers 05.30, Institute of Economic Policy Research (IEPR).
- M. Hashem Pesaran & Martin Weale, 2005. "Survey Expectations," CESifo Working Paper Series 1599, CESifo Group Munich.
- Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, 02.
- Clarke, Jonathan & Ferris, Stephen P. & Jayaraman, Narayanan & Lee, Jinsoo, 2006. "Are Analyst Recommendations Biased? Evidence from Corporate Bankruptcies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(01), pages 169-196, March.
- Klein, April, 1990. "A direct test of the cognitive bias theory of share price reversals," Journal of Accounting and Economics, Elsevier, vol. 13(2), pages 155-166, July.
- Conrad, Jennifer & Cornell, Bradford & Landsman, Wayne R. & Rountree, Brian R., 2006. "How Do Analyst Recommendations Respond to Major News?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(01), pages 25-49, March.
- Baghestani, Hamid & Khallaf, Ashraf, 2012. "Predictions of growth in U.S. corporate profits: Asymmetric vs. symmetric loss," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 222-229.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.