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Abstract

This 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 log-normals model 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 predict the actual earnings figure beyond the information contained in analysts' earnings expectations.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 7656.

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Date of creation: Jan 2010
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Handle: RePEc:cpr:ceprdp:7656

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Related research

Keywords: analysts' earnings forecasts; mixture model; predictability of forecast revisions;

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Find related papers by JEL classification:

• C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
• G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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1. 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.
   
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   • Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
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   • M. Hashem Pesaran & Martin Weale, 2005. "Survey Expectations," IEPR Working Papers 05.30, Institute of Economic Policy Research (IEPR).
4. 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.
5. 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.
6. 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.
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8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.

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