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“Stiff Business Headwinds and Uncharted Economic Waters”: The Use of Euphemisms in Earnings Conference Calls

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  • Kate Suslava

    (Freeman College of Management, Bucknell University, Lewisburg, Pennsylvania 17837)

Abstract

This paper studies whether euphemisms obfuscate the content of earnings conference calls and cause investors to underreact. I argue that managers’ use of euphemisms can alleviate the impact of bad news and delay the market reaction to adverse information. Using a dictionary of corporate euphemisms, I find that their use by managers—but not by analysts—is negatively associated with both immediate and future abnormal returns, and their frequency moderates the negative market reaction to bad earnings news. Finally, stock underreaction is more pronounced on busy earnings announcement dates, when investor attention is distracted.

Suggested Citation

  • Kate Suslava, 2021. "“Stiff Business Headwinds and Uncharted Economic Waters”: The Use of Euphemisms in Earnings Conference Calls," Management Science, INFORMS, vol. 67(11), pages 7184-7213, November.
    • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:11:p:7184-7213
    DOI: 10.1287/mnsc.2020.3826
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    References listed on IDEAS

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    1. Lauren Cohen & Dong Lou & Christopher J. Malloy, 2020. "Casting Conference Calls," Management Science, INFORMS, vol. 66(11), pages 5015-5039, November.
    2. William J. Mayew, 2008. "Evidence of Management Discrimination Among Analysts during Earnings Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 627-659, June.
    3. Marina DRUZ & Alexander F. WAGNER & Alexander Richard J. ZECKHAUSER, 2015. "Tips and Tells from Managers: How Analysts and the Market Read Between the Lines of Conference Calls," Swiss Finance Institute Research Paper Series 15-02, Swiss Finance Institute.
    4. 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.
    5. Cohen, Lauren & Lou, Dong & Malloy, Christopher, 2020. "Casting conference calls," LSE Research Online Documents on Economics 101136, London School of Economics and Political Science, LSE Library.
    6. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    7. Jinn‐Yang Uang & David B. Citron & Sudi Sudarsanam & Richard J. Taffler, 2006. "Management Going‐concern Disclosures: Impact of Corporate Governance and Auditor Reputation," European Financial Management, European Financial Management Association, vol. 12(5), pages 789-816, November.
    8. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    9. Angela K. Davis & Jeremy M. Piger & Lisa M. Sedor, 2012. "Beyond the Numbers: Measuring the Information Content of Earnings Press Release Language," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 845-868, September.
    10. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    11. Brian J. Bushee & Ian D. Gow & Daniel J. Taylor, 2018. "Linguistic Complexity in Firm Disclosures: Obfuscation or Information?," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 85-121, March.
    12. Jing Chen & Elizabeth Demers & Baruch Lev, 2018. "Oh What a Beautiful Morning! Diurnal Influences on Executives and Analysts: Evidence from Conference Calls," Management Science, INFORMS, vol. 64(12), pages 5899-5924, December.
    13. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    14. Price, S. McKay & Doran, James S. & Peterson, David R. & Bliss, Barbara A., 2012. "Earnings conference calls and stock returns: The incremental informativeness of textual tone," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 992-1011.
    15. Tama-Sweet, Isho, 2014. "Changes in earnings announcement tone and insider sales," Advances in accounting, Elsevier, vol. 30(2), pages 276-282.
    16. Tim Loughran & Bill McDonald, 2014. "Regulation and financial disclosure: The impact of plain English," Journal of Regulatory Economics, Springer, vol. 45(1), pages 94-113, February.
    17. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    18. 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.
    19. S. P. Kothari & Susan Shu & Peter D. Wysocki, 2009. "Do Managers Withhold Bad News?," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 241-276, March.
    20. Li, Yuanzhi & Yermack, David, 2016. "Evasive shareholder meetings," Journal of Corporate Finance, Elsevier, vol. 38(C), pages 318-334.
    21. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    22. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
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