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The Earnings Expectations Game and the Dispersion Anomaly

Author

Listed:
  • David Veenman

    (University of Amsterdam, 1018 TV Amsterdam, Netherlands)

  • Patrick Verwijmeren

    (Erasmus University Rotterdam, 3062 PA Rotterdam, Netherlands; University of Melbourne, Parkville, Victoria 3010, Australia)

Abstract

This study examines the role of differences in firms’ propensity to meet earnings expectations in explaining why firms with high analyst forecast dispersion experience relatively low future stock returns. We first demonstrate that the negative relation between dispersion and returns is concentrated around earnings announcements. Next, we show that this relation disappears when we control for ex ante measures of firms’ propensity to meet earnings expectations and that the component of dispersion explained by these measures drives the return predictability of dispersion. We further demonstrate that firms with low analyst dispersion are substantially more likely to achieve positive earnings surprises and provide new evidence consistent with both expectations management and strategic forecast pessimism explaining this result. Overall, we conclude that investor mispricing of firms’ participation in the earnings-expectations game provides a viable explanation for the dispersion anomaly.

Suggested Citation

  • David Veenman & Patrick Verwijmeren, 2022. "The Earnings Expectations Game and the Dispersion Anomaly," Management Science, INFORMS, vol. 68(4), pages 3129-3149, April.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:4:p:3129-3149
    DOI: 10.1287/mnsc.2021.3983
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    as
    1. Foong Soon Cheong & Jacob Thomas, 2018. "Management of Reported and Forecast EPS, Investor Responses, and Research Implications," Management Science, INFORMS, vol. 64(9), pages 4277-4301, September.
    2. Edmund Keung & Zhi‐Xing Lin & Michael Shih, 2010. "Does the Stock Market See a Zero or Small Positive Earnings Surprise as a Red Flag?," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 91-121, March.
    3. Levi, Shai & Zhang, Xiao-Jun, 2015. "Asymmetric decrease in liquidity trading before earnings announcements and the announcement return premium," Journal of Financial Economics, Elsevier, vol. 118(2), pages 383-398.
    4. Travis L Johnson & Jinhwan Kim & Eric C So & Lauren Cohen, 2020. "Expectations Management and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4580-4626.
    5. Ian D. Gow & David F. Larcker & Peter C. Reiss, 2016. "Causal Inference in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 477-523, May.
    6. Lawrence D. Brown, 2001. "A Temporal Analysis of Earnings Surprises: Profits versus Losses," Journal of Accounting Research, Wiley Blackwell, vol. 39(2), pages 221-241, September.
    7. Amy P. Hutton, 2005. "Determinants of Managerial Earnings Guidance Prior to Regulation Fair Disclosure and Bias in Analysts' Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 22(4), pages 867-914, December.
    8. Joel F. Houston & Baruch Lev & Jennifer Wu Tucker, 2010. "To Guide or Not to Guide? Causes and Consequences of Stopping Quarterly Earnings Guidance," Contemporary Accounting Research, John Wiley & Sons, vol. 27(1), pages 4-4, March.
    9. Sanjay W. Bissessur & David Veenman, 2016. "Analyst information precision and small earnings surprises," Review of Accounting Studies, Springer, vol. 21(4), pages 1327-1360, December.
    10. Nagel, Stefan, 2005. "Short sales, institutional investors and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 277-309, November.
    11. Cohen, Daniel A. & Dey, Aiyesha & Lys, Thomas Z. & Sunder, Shyam V., 2007. "Earnings announcement premia and the limits to arbitrage," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 153-180, July.
    12. Heflin, Frank & Hsu, Charles, 2008. "The impact of the SEC's regulation of non-GAAP disclosures," Journal of Accounting and Economics, Elsevier, vol. 46(2-3), pages 349-365, December.
    13. Trueman, Brett, 1994. "Analyst Forecasts and Herding Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 97-124.
    14. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    15. Gow, Ian D. & Larcker, David F. & Reiss, Peter C., 2016. "Causal Inference in Accounting Research," Research Papers 3393, Stanford University, Graduate School of Business.
    16. Bin Ke & Yong Yu, 2006. "The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 965-999, December.
    17. Partha S. Mohanram & Shyam V. Sunder, 2006. "How Has Regulation FD Affected the Operations of Financial Analysts?," Contemporary Accounting Research, John Wiley & Sons, vol. 23(2), pages 491-525, June.
    18. Tyler Shumway & Vincent A. Warther, 1999. "The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect," Journal of Finance, American Finance Association, vol. 54(6), pages 2361-2379, December.
    19. Guang Ma & Stanimir Markov, 2017. "The Market's Assessment of the Probability of Meeting or Beating the Consensus," Contemporary Accounting Research, John Wiley & Sons, vol. 34(1), pages 314-342, March.
    20. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    21. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    22. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    23. repec:bla:jfinan:v:59:y:2004:i:5:p:1957-1978 is not listed on IDEAS
    24. So, Eric C. & Wang, Sean, 2014. "News-driven return reversals: Liquidity provision ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 114(1), pages 20-35.
    25. 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.
    26. Gilles Hilary & Charles Hsu, 2013. "Analyst Forecast Consistency," Journal of Finance, American Finance Association, vol. 68(1), pages 271-297, February.
    27. 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.
    28. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    29. Julie Cotter & Irem Tuna & Peter D. Wysocki, 2006. "Expectations Management and Beatable Targets: How Do Analysts React to Explicit Earnings Guidance?," Contemporary Accounting Research, John Wiley & Sons, vol. 23(3), pages 593-624, September.
    30. Cindy Durtschi & Peter Easton, 2005. "Earnings Management? The Shapes of the Frequency Distributions of Earnings Metrics Are Not Evidence Ipso Facto," Journal of Accounting Research, Wiley Blackwell, vol. 43(4), pages 557-592, September.
    31. Chuk, Elizabeth & Matsumoto, Dawn & Miller, Gregory S., 2013. "Assessing methods of identifying management forecasts: CIG vs. researcher collected," Journal of Accounting and Economics, Elsevier, vol. 55(1), pages 23-42.
    32. Jeffery Abarbanell & Hyungshin Park, 2017. "Do Bright-Line Earnings Surprises Really Affect Stock Price Reactions?," Management Science, INFORMS, vol. 63(4), pages 1063-1084, April.
    33. (Xuefeng) Jiang, John & Petroni, Kathy R. & Yanyan Wang, Isabel, 2010. "CFOs and CEOs: Who have the most influence on earnings management?," Journal of Financial Economics, Elsevier, vol. 96(3), pages 513-526, June.
    34. Travis L. Johnson & Eric C. So, 2018. "Asymmetric Trading Costs Prior to Earnings Announcements: Implications for Price Discovery and Returns," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 217-263, March.
    35. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 134-150, February.
    36. Edmund Keung & Zhi‐Xing Lin & Michael Shih, 2010. "Does the Stock Market See a Zero or Small Positive Earnings Surprise as a Red Flag?," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 105-136, March.
    37. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    38. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 134-150.
    39. 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.
    40. Chan, Louis K. C. & Karceski, Jason & Lakonishok, Josef, 2007. "Analysts' Conflicts of Interest and Biases in Earnings Forecasts," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(4), pages 893-913, December.
    41. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    42. Joel F. Houston & Baruch Lev & Jennifer Wu Tucker, 2010. "To Guide or Not to Guide? Causes and Consequences of Stopping Quarterly Earnings Guidance," Contemporary Accounting Research, John Wiley & Sons, vol. 27(1), pages 143-185, March.
    43. Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2014. "Have capital market anomalies attenuated in the recent era of high liquidity and trading activity?," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 41-58.
    44. Barinov, Alexander, 2013. "Analyst Disagreement and Aggregate Volatility Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(6), pages 1877-1900, December.
    45. Barber, Brad M. & De George, Emmanuel T. & Lehavy, Reuven & Trueman, Brett, 2013. "The earnings announcement premium around the globe," Journal of Financial Economics, Elsevier, vol. 108(1), pages 118-138.
    46. Orie E. Barron & Mary Harris Stanford & Yong Yu, 2009. "Further Evidence on the Relation between Analysts' Forecast Dispersion and Stock Returns," Contemporary Accounting Research, John Wiley & Sons, vol. 26(2), pages 329-357, June.
    47. Michael Clement & Richard Frankel & Jeffrey Miller, 2003. "Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns," Journal of Accounting Research, Wiley Blackwell, vol. 41(4), pages 653-679, September.
    48. Tom Y. Chang & Samuel M. Hartzmark & David H. Solomon & Eugene F. Soltes, 2017. "Being Surprised by the Unsurprising: Earnings Seasonality and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 281-323.
    49. Jeremiah Green & John R. M. Hand & Mark T. Soliman, 2011. "Going, Going, Gone? The Apparent Demise of the Accruals Anomaly," Management Science, INFORMS, vol. 57(5), pages 797-816, May.
    50. Doukas, John A. & Kim, Chansog (Francis) & Pantzalis, Christos, 2006. "Divergence of Opinion and Equity Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(3), pages 573-606, September.
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