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You have a point - but a point is not enough: The case for distributional forecasts of earnings

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  • Dichev, Ilia
  • Huang, Xinyi
  • Lee, Donald K.K
  • Zhao, Jianxin

Abstract

Existing forecasts of earnings are typically expressed as point estimates. However, ex-ante, the future earnings number is unknown, and is statistically represented by a probability distribution over all possible earnings outcomes. We use recent advances in statistical machine learning to estimate the ex-ante distributions of future earnings right before earnings announcements, and investigate how these distributions can help managers, analysts, and investors make better decisions along three directions. First, we show that our distributional forecasts are well calibrated to actual earnings realizations. Second, we document that management and financial analyst forecasts are substantially miscalibrated, severely underestimating the variability of future earnings. Critically, since our distributional estimates are available ex-ante at the firm-quarter level, they can be proactively used to identify and correct such miscalibration. Third, we use our distributional estimates to model the probability of beating or missing the consensus analyst forecasts. Going long (short) on stocks in the top (bottom) decile probabilities of beating (missing) the consensus produces hedge returns of about 60 basis points over the three-day earnings announcement window.

Suggested Citation

  • Dichev, Ilia & Huang, Xinyi & Lee, Donald K.K & Zhao, Jianxin, 2023. "You have a point - but a point is not enough: The case for distributional forecasts of earnings," SocArXiv 4b2y8, Center for Open Science.
    • Handle: RePEc:osf:socarx:4b2y8
    DOI: 10.31219/osf.io/4b2y8
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    References listed on IDEAS

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    1. Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
    2. Itzhak Ben-David & John R. Graham, 2013. "Managerial Miscalibration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1547-1584.
    3. Barth, ME & Elliott, JA & Finn, MW, 1999. "Market rewards associated with patterns of increasing earnings," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 387-413.
    4. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
    5. S.P. Kothari & Eric So & Rodrigo Verdi, 2016. "Analysts’ Forecasts and Asset Pricing: A Survey," Annual Review of Financial Economics, Annual Reviews, vol. 8(1), pages 197-219, October.
    6. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    7. Graham, John R. & Harvey, Campbell R. & Rajgopal, Shiva, 2005. "The economic implications of corporate financial reporting," Journal of Accounting and Economics, Elsevier, vol. 40(1-3), pages 3-73, December.
    8. Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
    9. Xi Chen & Yang Ha (Tony) Cho & Yiwei Dou & Baruch Lev, 2022. "Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 467-515, May.
    10. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
    11. Ron Kasznik & Maureen F. McNichols, 2002. "Does Meeting Earnings Expectations Matter? Evidence from Analyst Forecast Revisions and Share Prices," Journal of Accounting Research, Wiley Blackwell, vol. 40(3), pages 727-759, June.
    12. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
    13. Kevin Koh & Dawn A. Matsumoto & Shivaram Rajgopal, 2008. "Meeting or Beating Analyst Expectations in the Post†Scandals World: Changes in Stock Market Rewards and Managerial Actions," Contemporary Accounting Research, John Wiley & Sons, vol. 25(4), pages 1067-1098, December.
    14. Monahan, Steven J., 2018. "Financial Statement Analysis and Earnings Forecasting," Foundations and Trends(R) in Accounting, now publishers, vol. 12(2), pages 105-215, July.
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