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Earnings forecast bias - a statistical analysis

Author

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  • Karine Michalon

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Sandrine Lardic

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • François Dossou

    (SINOPIA AM - Sinopia AM - Sinopia AM)

Abstract

The evaluation of the reliability of analysts' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order to identify the unanticipated component of earnings, institutional investors make considerable use of analysts' forecasts when evaluating and selecting individual sharesand the performance of analysts' forecasts sheds light on the process by which agents form expectations about key economic and financial variables. The recent period put forward a well-known phenomenon, namely the existence of a positive bias in experts' anticipations: the latter tend to over-estimate earnings. In this paper, we study the properties of this bias according to various aspects, that is to say according to country, sector, but also according to the size of the companies.

Suggested Citation

  • Karine Michalon & Sandrine Lardic & François Dossou, 2005. "Earnings forecast bias - a statistical analysis," Post-Print halshs-00142773, HAL.
    • Handle: RePEc:hal:journl:halshs-00142773
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00142773v2
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    References listed on IDEAS

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    1. Han, Bong H & Manry, David & Shaw, Wayne, 2001. "Improving the Precision of Analysts' Earnings Forecasts by Adjusting for Predictable Bias," Review of Quantitative Finance and Accounting, Springer, vol. 17(1), pages 81-98, July.
    2. John Capstaff & Krishna Paudyal & William Rees, 2001. "A Comparative Analysis of Earnings Forecasts in Europe," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(5‐6), pages 531-562, June.
    3. Hopwood, Ws & Newbold, P & Silhan, Pa, 1982. "The Potential For Gains In Predictive Ability Through Disaggregation - Segmented Annual Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 724-732.
    4. Collins, Wa & Hopwood, Ws, 1980. "A Multivariate-Analysis Of Annual Earnings Forecasts Generated From Quarterly Forecasts Of Financial Analysts And Univariate Time-Series Models," Journal of Accounting Research, Wiley Blackwell, vol. 18(2), pages 390-406.
    5. 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, February.
    6. Brown, Lawrence D., 1993. "Earnings forecasting research: its implications for capital markets research," International Journal of Forecasting, Elsevier, vol. 9(3), pages 295-320, November.
    7. Amitabh Dugar & Siva Nathan, 1995. "The Effect of Investment Banking Relationships on Financial Analysts' Earnings Forecasts and Investment Recommendations," Contemporary Accounting Research, John Wiley & Sons, vol. 12(1), pages 131-160, September.
    8. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    9. Conroy, Robert M. & Harris, Robert S., 1995. "Analysts' earnings forecasts in Japan: Accuracy and sell-side optimism," Pacific-Basin Finance Journal, Elsevier, vol. 3(4), pages 393-408, December.
    10. Terence Lim, 2001. "Rationality and Analysts' Forecast Bias," Journal of Finance, American Finance Association, vol. 56(1), pages 369-385, February.
    11. Brous, Peter A. & Kini, Omesh, 1993. "A reexamination of analysts' earnings forecasts for takeover targets," Journal of Financial Economics, Elsevier, vol. 33(2), pages 201-225, April.
    12. Brown, Philip, 1993. "Comments on 'Earnings forecasting research: its implications for capital markets research' by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 331-335, November.
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    Keywords

    earnings forecasts; bias; consensus; prévisions de bénéfices; biais;
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