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Analysts’ Earnings Forecasts for DAX100 Firms During the Stock Market Boom of the 1990s

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  • Martin Wallmeier

Abstract

This paper examines the reliability of financial analysts’ consensus earnings forecasts in the 1990s. Analysts are often accused of having fuelled the stock market boom with exaggerated evaluations of firms’ prospects. However, this criticism primarily refers to the analysts’ buy recommendations rather than earnings forecasts. Although biases in earnings forecasts have been reported since the 1980s, a systematic study capturing the period of ‘irrational exuberance’ until 2000 on the German stock market has not yet been published. Our data set consists of DAX100 firms, leaving out the peculiarities of forecasting earnings (or rather losses) of young technology firms. To evaluate the information content of analysts’ forecasts, we confront them with five alternative forecasting models. The empirical results reveal that analysts’ forecasts were too optimistic throughout the entire sample period. However, contrary to the increase in stock prices, the optimistic bias has declined over time. If the bias is removed, the analysts’ consensus forecasts significantly outperform all other models considered. Thus, the forecasts seem to be informative with respect to earnings differences, even if the market level of earnings is optimistically overstated. Copyright Swiss Society for Financial Market Research 2005

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  • Martin Wallmeier, 2005. "Analysts’ Earnings Forecasts for DAX100 Firms During the Stock Market Boom of the 1990s," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(2), pages 131-151, August.
  • Handle: RePEc:kap:fmktpm:v:19:y:2005:i:2:p:131-151
    DOI: 10.1007/s11408-005-3382-4
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    1. Elton, Edwin J & Gruber, Martin J & Urich, Thomas J, 1978. "Are Betas Best?," Journal of Finance, American Finance Association, vol. 33(5), pages 1375-1384, December.
    2. 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.
    3. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    4. Michael P. Keane & David E. Runkle, 1998. "Are Financial Analysts' Forecasts of Corporate Profits Rational?," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 768-805, August.
    5. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    6. De Bondt, Werner F M & Thaler, Richard H, 1990. "Do Security Analysts Overreact?," American Economic Review, American Economic Association, vol. 80(2), pages 52-57, May.
    7. Beaver, William & Lambert, Richard & Morse, Dale, 1980. "The information content of security prices," Journal of Accounting and Economics, Elsevier, vol. 2(1), pages 3-28, March.
    8. 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.
    9. James Claus & Jacob Thomas, 2001. "Equity Premia as Low as Three Percent? Evidence from Analysts' Earnings Forecasts for Domestic and International Stock Markets," Journal of Finance, American Finance Association, vol. 56(5), pages 1629-1666, October.
    10. Loffler, Gunter, 1998. "Biases in analyst forecasts: cognitive, strategic or second-best?," International Journal of Forecasting, Elsevier, vol. 14(2), pages 261-275, June.
    11. Brown, Lawrence D. & Hagerman, Robert L. & Griffin, Paul A. & Zmijewski, Mark E., 1987. "Security analyst superiority relative to univariate time-series models in forecasting quarterly earnings," Journal of Accounting and Economics, Elsevier, vol. 9(1), pages 61-87, April.
    12. Lynn Hodgkinson, 2001. "Analysts' Forecasts and the Broker Relationship," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 943-961.
    13. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2003. "The effect of experience on security analyst underreaction," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 101-116, April.
    14. Brown, Ld & Richardson, Gd & Schwager, Sj, 1987. "An Information Interpretation Of Financial Analyst Superiority In Forecasting Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 49-67.
    15. Robert Conroy & Robert Harris, 1987. "Consensus Forecasts of Corporate Earnings: Analysts' Forecasts and Time Series Methods," Management Science, INFORMS, vol. 33(6), pages 725-738, June.
    16. Beaver, William H., 1999. "Comments on 'An empirical assessment of the residual income valuation model'," Journal of Accounting and Economics, Elsevier, vol. 26(1-3), pages 35-42, January.
    17. Tilman Ehrbeck & Robert Waldmann, 1996. "Why Are Professional Forecasters Biased? Agency versus Behavioral Explanations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(1), pages 21-40.
    18. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    19. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    20. Bulkley, George & Harris, Richard D F, 1997. "Irrational Analysts' Expectations as a Cause of Excess Volatility in Stock Prices," Economic Journal, Royal Economic Society, vol. 107(441), pages 359-371, March.
    21. McNichols, M & O'Brien, PC, 1997. "Self-selection and analyst coverage," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 167-199.
    22. Simon Hussain, 1996. "Over-Reaction by Security Market Analysts: The Impact of Broker Status and Firm Size," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(9-10), pages 1223-1244, December.
    23. 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.
    24. 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.
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    Cited by:

    1. Alexander Kerl & Oscar Stolper & Andreas Walter, 2012. "Tagging the triggers: an empirical analysis of information events prompting sell-side analyst reports," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(2), pages 217-246, June.
    2. Krotter, Simon, 2006. "Durchbrechungen des Kongruenzprinzips und Residualgewinne Broken Link Between Accounting and Finance?," University of Regensburg Working Papers in Business, Economics and Management Information Systems 411, University of Regensburg, Department of Economics.
    3. Stefan Kanne & Jan Klobucnik & Daniel Kreutzmann & Soenke Sievers, 2012. "To buy or not to buy? The value of contradictory analyst signals," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(4), pages 405-428, December.

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