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What drives the Quotes of Earnings Forecasters?

Listed author(s):
  • Bert de Bruijn

    ()

    (Erasmus University Rotterdam)

  • Philip Hans Franses

    ()

    (Erasmus University Rotterdam)

Earnings forecasts can be useful for investment decisions. Research on earnings forecasts has focused on forecast performance in relation to firm characteristics, on categorizing the analysts into groups with similar behaviour and on the effect of an earnings announcement by thefirm on future earnings forecasts. In this paper we investigate the factors that determine the value of the forecast and also investigate to what extent the timing of the forecast can be modeled. We propose a novel methodology that allows for such an investigation. As an illustration we analyze within-year earnings forecasts for AMD in the period 1997 to 2011, where the data are obtained from the I/B/E/S database. Our empirical findings suggest clear drivers of the value and the timing of the earnings forecast. We thus show that not only the forecasts themselves are predictable, but that also the timing of the quotes is predictable to some extent.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 12-067/4.

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Date of creation: 12 Jul 2012
Handle: RePEc:tin:wpaper:20120067
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  1. 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.
  2. McCulloch, Robert E. & Polson, Nicholas G. & Rossi, Peter E., 2000. "A Bayesian analysis of the multinomial probit model with fully identified parameters," Journal of Econometrics, Elsevier, vol. 99(1), pages 173-193, November.
  3. Clement, Michael B. & Hales, Jeffrey & Xue, Yanfeng, 2011. "Understanding analysts' use of stock returns and other analysts' revisions when forecasting earnings," Journal of Accounting and Economics, Elsevier, vol. 51(3), pages 279-299, April.
  4. 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.
  5. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
  6. Kim, Yongtae & Lobo, Gerald J. & Song, Minsup, 2011. "Analyst characteristics, timing of forecast revisions, and analyst forecasting ability," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2158-2168, August.
  7. Brown, Lawrence D., 1993. "Reply to commentaries on "Earnings forecasting research: its implications for capital markets research"," International Journal of Forecasting, Elsevier, vol. 9(3), pages 343-344, November.
  8. Landsman, Wayne R. & Maydew, Edward L. & Thornock, Jacob R., 2012. "The information content of annual earnings announcements and mandatory adoption of IFRS," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 34-54.
  9. Michael B. Clement & Senyo Y. Tse, 2005. "Financial Analyst Characteristics and Herding Behavior in Forecasting," Journal of Finance, American Finance Association, vol. 60(1), pages 307-341, 02.
  10. Sheng, Xuguang & Thevenot, Maya, 2012. "A new measure of earnings forecast uncertainty," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 21-33.
  11. Bolliger, Guido, 2004. "The characteristics of individual analysts' forecasts in Europe," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2283-2309, September.
  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.
  13. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
  14. John C. Easterwood & Stacey R. Nutt, 1999. "Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism?," Journal of Finance, American Finance Association, vol. 54(5), pages 1777-1797, October.
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