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Management of Reported and Forecast EPS, Investor Responses, and Research Implications

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  • Foong Soon Cheong

    (New York University Shanghai, Shanghai 200122, China)

  • Jacob Thomas

    (Yale School of Management, Yale University, New Haven, Connecticut 06520)

Abstract

We document substantial management of reported and forecast earnings per share (EPS) for analyst-followed U.S. firms, with the extent of management increasing with share price. Managers smooth the volatility of reported EPS by using accruals to offset cash flow shocks. Smoother EPS is easier to forecast, resulting in smaller forecast errors. Managers also differentially guide forecasts to improve accuracy. Whereas unmanaged forecast errors are much larger for high-price firms, they are compressed to the point their magnitudes resemble those for low-price firms. Managers also guide analyst forecasts to generate patterns of forecast walkdowns that again vary with share price. Given the remarkable level of management implied by our results, we conduct additional robustness analyses. The strongest evidence is observed in stock price responses: investors recognize efforts to manage reported and forecast EPS and adjust accordingly. We highlight potential biases caused by researchers being unaware of managerial efforts and investor responses, and offer ways to mitigate those biases.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:9:p:4277-4301
    DOI: 10.1287/mnsc.2017.2832
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    as
    1. Freeman, Rn & Tse, Sy, 1992. "A Nonlinear Model Of Security Price Responses To Unexpected Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 185-209.
    2. Kormendi, Roger & Lipe, Robert, 1987. "Earnings Innovations, Earnings Persistence, and Stock Returns," The Journal of Business, University of Chicago Press, vol. 60(3), pages 323-345, July.
    3. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    4. Drew Fudenberg & Jean Tirole, 1986. "A "Signal-Jamming" Theory of Predation," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 366-376, Autumn.
    5. Degeorge, Francois & Patel, Jayendu & Zeckhauser, Richard, 1999. "Earnings Management to Exceed Thresholds," The Journal of Business, University of Chicago Press, vol. 72(1), pages 1-33, January.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. Bengt Holmstrom, 1982. "Moral Hazard in Teams," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 324-340, Autumn.
    8. 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.
    9. Jeremy C. Stein, 1989. "Efficient Capital Markets, Inefficient Firms: A Model of Myopic Corporate Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(4), pages 655-669.
    10. Jeffrey Ng & Tjomme O. Rusticus & Rodrigo S. Verdi, 2008. "Implications of Transaction Costs for the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 661-696, June.
    11. Collins, Daniel W. & Kothari, S. P., 1989. "An analysis of intertemporal and cross-sectional determinants of earnings response coefficients," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 143-181, July.
    12. Foong Soon Cheong & Jacob Thomas, 2011. "Why Do EPS Forecast Error and Dispersion Not Vary with Scale? Implications for Analyst and Managerial Behavior," Journal of Accounting Research, Wiley Blackwell, vol. 49(2), pages 359-401, May.
    13. Mary E. Barth & Sanjay Kallapur, 1996. "The Effects of Cross†Sectional Scale Differences on Regression Results in Empirical Accounting Research," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 527-567, September.
    14. Teets, Walter R. & Wasley, Charles E., 1996. "Estimating earnings response coefficients: Pooled versus firm-specific models," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 279-295, June.
    15. 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.
    16. Mark Lang & Karl V. Lins & Mark Maffett, 2012. "Transparency, Liquidity, and Valuation: International Evidence on When Transparency Matters Most," Journal of Accounting Research, Wiley Blackwell, vol. 50(3), pages 729-774, June.
    17. Christie, Andrew A., 1987. "On cross-sectional analysis in accounting research," Journal of Accounting and Economics, Elsevier, vol. 9(3), pages 231-258, December.
    18. Scott Richardson & Siew Hong Teoh & Peter D. Wysocki, 2004. "The Walk†down to Beatable Analyst Forecasts: The Role of Equity Issuance and Insider Trading Incentives," Contemporary Accounting Research, John Wiley & Sons, vol. 21(4), pages 885-924, December.
    19. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
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    Cited by:

    1. Jake Thomas & Wentao Yao & Frank Zhang & Wei Zhu, 2022. "Meet, beat, and pollute," Review of Accounting Studies, Springer, vol. 27(3), pages 1038-1078, September.
    2. Florian Eugster & Alexander F. Wagner, 2021. "Earning investor trust: The role of past earnings management," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 269-307, January.
    3. David Veenman & Patrick Verwijmeren, 2022. "The Earnings Expectations Game and the Dispersion Anomaly," Management Science, INFORMS, vol. 68(4), pages 3129-3149, April.
    4. William Grieser & Charles J. Hadlock & Joshua R. Pierce, 2021. "Doing good when doing well: evidence on real earnings management," Review of Accounting Studies, Springer, vol. 26(3), pages 906-932, September.
    5. Jacob Thomas & Frank Zhang & Wei Zhu, 2021. "Dark Trading and Post-Earnings-Announcement Drift," Management Science, INFORMS, vol. 67(12), pages 7785-7811, December.
    6. Liu, Duan & Wang, Lili & Yan, Jing & Wan, Hong, 2023. "R&D manipulation and SEO pricing in the Chinese capital market: The information effect of inefficient investment," Research in International Business and Finance, Elsevier, vol. 65(C).

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