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Do analysts treat winners and losers differently when forecasting earnings?

Author

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  • Jung, Jay Heon
  • Pae, Jinhan
  • Yoo, Choong-Yuel

Abstract

We investigate whether the well-known positive association between past stock returns and analysts’ earnings forecast revisions differs for stocks that have experienced extreme positive (or negative) price changes. We document an asymmetry in this association depending on whether a stock experienced consecutive rounds of capital gains (winner) or losses (loser): the association is strong for losers, but weak for winners. We also find that earnings forecasts are less accurate for analysts who treat winners and losers differently from moderately-performing stocks. However, the degree of such aberrant reactions to winners and losers and the consequent detrimental effect on the forecasting accuracy are less acute for analysts who have more forecasting experience with winners and losers. Finally, consistent with the efficient market hypothesis (EMH), we find that investors discount earnings forecast revisions by analysts who treat winners and losers differently, particularly after 2003, coinciding with the Global Settlement that aims to improve the integrity of analyst research and investors’ financial literacy.

Suggested Citation

  • Jung, Jay Heon & Pae, Jinhan & Yoo, Choong-Yuel, 2015. "Do analysts treat winners and losers differently when forecasting earnings?," International Journal of Forecasting, Elsevier, vol. 31(2), pages 531-549.
  • Handle: RePEc:eee:intfor:v:31:y:2015:i:2:p:531-549
    DOI: 10.1016/j.ijforecast.2014.02.006
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    References listed on IDEAS

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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. Roger K. Loh & René M. Stulz, 2011. "When Are Analyst Recommendation Changes Influential?," The Review of Financial Studies, Society for Financial Studies, vol. 24(2), pages 593-627.
    3. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    6. repec:bla:jfinan:v:58:y:2003:i:5:p:1933-1968 is not listed on IDEAS
    7. Francis, J & Soffer, L, 1997. "The relative informativeness of analysts' stock recommendations and earnings forecast revisions," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 193-211.
    8. Abarbanell, Jeffery S., 1991. "Do analysts' earnings forecasts incorporate information in prior stock price changes?," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 147-165, June.
    9. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    10. Lys, Thomas & Sohn, Sungkyu, 1990. "The association between revisions of financial analysts' earnings forecasts and security-price changes," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 341-363, December.
    11. 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.
    12. 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.
    13. Grinblatt, Mark & Moskowitz, Tobias J., 2004. "Predicting stock price movements from past returns: the role of consistency and tax-loss selling," Journal of Financial Economics, Elsevier, vol. 71(3), pages 541-579, March.
    14. Bandyopadhyay, Sati P. & Brown, Lawrence D. & Richardson, Gordon D., 1995. "Analysts' use of earnings forecasts in predicting stock returns: Forecast horizon effects," International Journal of Forecasting, Elsevier, vol. 11(3), pages 429-445, September.
    15. 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.
    16. Ohad Kadan & Leonardo Madureira & Rong Wang & Tzachi Zach, 2009. "Conflicts of Interest and Stock Recommendations: The Effects of the Global Settlement and Related Regulations," The Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4189-4217, October.
    17. Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm‐specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1‐2), pages 49-82, January.
    18. 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(1), pages 25-49, March.
    19. Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm-specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1-2), pages 49-82.
    20. 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, February.
    21. Volkan Muslu & Yanfeng Xue, 2013. "Analysts’ Momentum Recommendations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(3-4), pages 438-469, April.
    22. 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.
    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.
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