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Evidence that Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings: An Experimental Markets Approach

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  • MICHAEL CALEGARI
  • NEIL L. FARGHER

Abstract

. Analysts have been found to underweight the innovation in the most recent quarterly earnings when forecasting next†quarter earnings, and these expectations have been posited as an explanation for post†earnings†announcement drift. This study uses an experimental asset market to examine whether similar errors in forecasting quarterly earnings are made by student†subjects. We examine two aspects of their behavior: (1) do subjects underestimate the autocorrelation in quarterly earnings when forming earnings expectations? and (2) are asset prices consistent with a subject's underestimation of the autocorrelation in quarterly earnings? We observe subject errors in forecasts that underweight extreme innovations in the most recent quarterly earnings by approximately 40 percent. The prices in the experimental markets also fail to reflect fully the most recent innovation in quarterly earnings. We are able to predict the sign of the incorrect pricing, from the mean initial earnings predictions of the subjects, in 74 percent of the 135 markets. These forecast errors observed in this study are consistent with forecast errors observed for analysts, and this consistency suggests that errors in analysts' forecasts may be at least partially attributable to the use of judgmental heuristics.

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  • Michael Calegari & Neil L. Fargher, 1997. "Evidence that Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings: An Experimental Markets Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 14(3), pages 397-433, September.
  • Handle: RePEc:wly:coacre:v:14:y:1997:i:3:p:397-433
    DOI: 10.1111/j.1911-3846.1997.tb00534.x
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    Cited by:

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    2. Paul J. Coram, 2010. "The effect of investor sophistication on the influence of nonfinancial performance indicators on investors’ judgments," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(2), pages 263-280, June.
    3. Abdul Hamid Habbe, 2017. "Estimation Error of Earnings Information: A Test of Representativeness and Anchoring-adjustment Heuristic," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 224-233.
    4. Russell Calk & Paul Haensly & Mary Jo Billiot, 2007. "The Effect of Returns History on the Current Period Relation Between Returns and Unexpected Earnings," Accounting Research Journal, Emerald Group Publishing Limited, vol. 20(1), pages 5-20, July.
    5. Yuan Ding & Thomas Jeanjean & Cédric Lesage & Hervé Stolowy, 2009. "An Experiment in the Economic Consequences of Additional Disclosure: The Case of the Fair Value of Unlisted Equity Investments," Post-Print halshs-00458950, HAL.
    6. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    7. Fink, Josef & Palan, Stefan & Theissen, Erik, 2020. "Earnings autocorrelation and the post-earnings-announcement drift: Experimental evidence," CFR Working Papers 20-10, University of Cologne, Centre for Financial Research (CFR).
    8. Jana Smith Raedy & Philip Shane & Yanhua Yang, 2006. "Horizon†Dependent Underreaction in Financial Analysts' Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 291-322, March.
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    10. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    11. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
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