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Quadrophobia: Strategic Rounding of EPS Data

Published online by Cambridge University Press:  24 November 2022

Nadya Malenko*
Affiliation:
University of Michigan Ross School of Business
Joseph A. Grundfest
Affiliation:
Stanford University Law School grundfest@stanford.edu
Yao Shen
Affiliation:
City University of New York Baruch College yao.shen@baruch.cuny.edu
*
nmalenko@umich.edu (corresponding author)
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Abstract

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Managers’ incentives to round up reported earnings per share (EPS) cause an underrepresentation of the number 4 in the first post-decimal digit of EPS, or “quadrophobia.” We develop a novel measure of aggressive financial reporting practices based on a firm’s history of quadrophobia. Quadrophobia is pervasive, persistent, and successfully predicts future restatements, Securities and Exchange Commission enforcement actions, and class action litigation. It is more pronounced when executive compensation is more closely tied to the stock price and when the firm anticipates violating debt covenants. Quadrophobia is especially strong when rounding-up EPS allows firms to meet analyst expectations, and investors seem not to see through this behavior.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington

Footnotes

We are grateful to an anonymous referee for suggestions that have substantially improved the article. We are also grateful to Anat Admati, Robert Daines, Ian Gow, Jarrad Harford (the editor), Elaine Harwood, Daniel Ho, Alan Jagolinzer, David Larcker, Andrey Malenko, Maureen McNichols, Sugata Roychowdhury, David Solomon, Roman Weil, Anastasia Zakolyukina, and participants of the Stanford Law Review Symposium on corporate governance for valuable comments; to Alan Jagolinzer, David Larcker, Anastasia Zakolyukina, and the Stanford Law School/Cornerstone Research Securities Class Action Clearinghouse for providing us with the data; to Hedieh Rashidi Ranjbar for research assistance; and to the Rock Center for Corporate Governance for financial support. The views expressed in the article are views of the authors and do not represent the views of Cornerstone Research or Stanford Law School.

References

Alawadhi, A.; Karpoff, J. M.; Koski, J. L.; and Martin, G. S.. “The Prevalence and Costs of Financial Misrepresentation.” Working Paper, University of Washington (2020).Google Scholar
Amiram, D.; Bozanic, Z.; and Rouen, E.. “Financial Statement Irregularities: Evidence from the Distributional Properties of Financial Statement Numbers.” Review of Accounting Studies, 20 (2015), 15401593.Google Scholar
Armstrong, C. S.; Jagolinzer, A. D.; and Larcker, D. F.. “Chief Executive Officer Equity Incentives and Accounting Irregularities.” Journal of Accounting Research, 48 (2010), 225271.Google Scholar
Armstrong, C. S.; Larcker, D. F.; Ormazabal, G.; and Taylor, D. J.. “The Relation Between Equity Incentives and Misreporting: The Role of Risk-Taking Incentives.” Journal of Financial Economics, 109 (2013), 327350.Google Scholar
Beneish, M. D.The Detection of Earnings Manipulation.” Financial Analysts Journal, 55 (1999), 2436.Google Scholar
Benford, F.The Law of Anomalous Numbers.” Proceedings of the American Philosophical Society, 78 (1938), 551572.Google Scholar
Bergstresser, D., and Philippon, T.. “CEO Incentives and Earnings Management.” Journal of Financial Economics, 80 (2006), 511529.Google Scholar
Bertomeu, J.; Cheynel, E.; Floyd, E.; and Pan, W.. “Using Machine Learning to Detect Misstatements.” Review of Accounting Studies, 26 (2021), 468519.Google Scholar
Bhojraj, S.; Hribar, P.; Picconi, M.; and McInnis, J.. “Making Sense of Cents: An Examination of Firms That Marginally Miss or Beat Analyst Forecasts.” Journal of Finance, 64 (2009), 23612388.Google Scholar
Biggerstaff, L.; Cicero, D. C.; and Puckett, A.. “Suspect CEOs, Unethical Culture, and Corporate Misbehavior.” Journal of Financial Economics, 117 (2015), 98121.Google Scholar
Bradshaw, M., and Sloan, R. G.. “GAAP Versus the Street: An Empirical Assessment of Two Alternative Definitions of Earnings.” Journal of Accounting Research, 40 (2002), 4166.Google Scholar
Burgstahler, D., and Chuk, E.. “What Have We Learned About Earnings Management? Integrating Discontinuity Evidence.” Contemporary Accounting Research, 34 (2017), 726749.Google Scholar
Burgstahler, D., and Dichev, I.. “Earnings Management to Avoid Earnings Decreases and Losses.” Journal of Accounting and Economics, 24 (1997), 99126.Google Scholar
Burgstahler, D., and Eames, M.. “Management of Earnings and Analysts’ Forecasts to Achieve Zero and Small Positive Earnings Surprises.” Journal of Business Finance & Accounting, 33 (2006), 633652.CrossRefGoogle Scholar
Burns, N., and Kedia, S.. “The Impact of Performance-Based Compensation on Misreporting.” Journal of Financial Economics, 79 (2006), 3567.Google Scholar
Carslaw, C.Anomalies in Income Numbers: Evidence of Goal Oriented Behavior.” Accounting Review, 63 (1988), 321327.Google Scholar
Chen, T.; Harford, J.; and Lin, C.. “Do Analysts Matter for Governance? Evidence from Natural Experiments.” Journal of Financial Economics, 115 (2015), 383410.Google Scholar
Coles, J. L.; Hertzel, M.; and Kalpathy, S.. “Earnings Management Around Employee Stock Option Reissues.” Journal of Accounting and Economics, 41 (2006), 173200.Google Scholar
Core, J., and Guay, W.. “Estimating the Value of Employee Stock Option Portfolios and Their Sensitivities to Price and Volatility.” Journal of Accounting Research, 40 (2002), 613630.Google Scholar
Cornett, M. M.; Marcus, A. J.; and Tehranian, H.. “Corporate Governance and Pay-For-Performance: The Impact of Earnings Management.” Journal of Financial Economics, 87 (2008), 357373.Google Scholar
Craig, T. R.Round-Off Bias in Earnings-Per-Share Calculations.” Journal of Applied Business Research, 8 (1992), 106113.Google Scholar
Das, S., and Zhang, H.. “Rounding-Up in Reported EPS, Behavioral Thresholds, and Earnings Management.” Journal of Accounting and Economics, 35 (2003), 3150.Google Scholar
Davidson, R.; Dey, A.; and Smith, A.. “Executives’ ‘Off-The-Job’ Behavior, Corporate Culture, and Financial Reporting Risk.” Journal of Financial Economics, 117 (2015), 528.Google Scholar
DeAngelo, H.; DeAngelo, L.; and Skinner, D. J.. “Accounting Choice in Troubled Companies.” Journal of Accounting and Economics, 17 (1994), 113143.Google Scholar
Dechow, P. M.; Ge, W.; Larson, C. R.; and Sloan, R. G.. “Predicting Material Accounting Misstatements.” Contemporary Accounting Research, 28 (2011), 1782.Google Scholar
Dechow, P. M.; Ge, W.; and Schrand, C.. “Understanding Earnings Quality: A Review of the Proxies, Their Determinants and Their Consequences.” Journal of Accounting and Economics, 50 (2010), 344401.Google Scholar
Dechow, P. M.; Sloan, R. G.; and Sweeney, A. P.. “Detecting Earnings Management.” Accounting Review, 70 (1995), 193225.Google Scholar
Dechow, P. M.; Sloan, R. G.; and Sweeney, A. P.. “Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC.” Contemporary Accounting Research, 13 (1996), 136.Google Scholar
Defond, M. L., and Jiambalvo, J.. “Factors Related to Auditor–Client Disagreements over Income-Increasing Accounting Methods.” Contemporary Accounting Research, 9 (1993), 415431.Google Scholar
Defond, M. L., and Jiambalvo, J.. “Debt Covenant Violation and Manipulation of Accruals.” Journal of Accounting and Economics, 17 (1994), 145176.Google Scholar
Degeorge, F.; Patel, J.; and Zeckhauser, R.. “Earnings Management to Exceed Thresholds.” Journal of Business, 72 (1999), 133.Google Scholar
DeLong, E. R.; DeLong, D. M.; and Clarke-Pearson, D. L.. “Comparing the Areas Under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach.” Biometrics, 44 (1988), 837845.Google ScholarPubMed
Dichev, I. D., and Skinner, D. J.. “Large-Sample Evidence on the Debt Covenant Hypothesis.” Journal of Accounting Research, 40 (2002), 10911123.Google Scholar
Efendi, J.; Srivastava, A.; and Swanson, E. P.. “Why Do Corporate Managers Misstate Financial Statements? The Role of Option Compensation and Other Factors.” Journal of Financial Economics, 85 (2007), 667708.Google Scholar
Erickson, M.; Hanlon, M.; and Maydew, E. L.. “Is There a Link Between Executive Equity Incentives and Accounting Fraud?Journal of Accounting Research, 44 (2006), 113143.Google Scholar
Fleiss, J.; Levin, B.; and Paik, M. C.. Statistical Methods for Rates and Proportions. Wiley & Sons, New York (2003).Google Scholar
Franz, D. R.; HassabElnaby, H. R.; and Lobo, G. J.. “Impact of Proximity to Debt Covenant Violation on Earnings Management.” Review of Accounting Studies, 19 (2014), 473505.Google Scholar
Graham, J. R.; Grennan, J.; Harvey, C. R.; and Rajgopal, S.. “Corporate Culture: Evidence from the Field.” Journal of Financial Economics, 146 (2022), 552593.Google Scholar
Graham, J. R.; Harvey, C. R.; and Rajgopal, S.. “The Economic Implications of Corporate Financial Reporting.” Journal of Accounting and Economics, 40 (2005), 373.Google Scholar
Griffin, J. R.; Kruger, S. A.; and Maturana, G.. “Personal Infidelity and Professional Conduct in 4 Settings.” Proceedings of the National Academy of Sciences of the United States of America, 116 (2019), 1626816273.Google Scholar
Healy, P. M., and Palepu, K. G.. “Information Asymmetry, Corporate Disclosure and the Capital Markets: A Review of the Empirical Disclosure Literature.” Journal of Accounting and Economics, 31 (2001), 405440.Google Scholar
Hill, T.A Statistical Derivation of the Significant-Digit Law.” Statistical Science, 10 (1995), 354363.Google Scholar
Irani, R. M., and Oesch, D.. “Monitoring and Corporate Disclosure: Evidence from a Natural Experiment.” Journal of Financial Economics, 109 (2013), 398418.Google Scholar
Irani, R. M., and Oesch, D.. “Analyst Coverage and Real Earnings Management: Quasi-Experimental Evidence.” Journal of Financial and Quantitative Analysis, 51 (2016), 589627.Google Scholar
Jennings, R.; LeClere, M. J.; and Thompson, R. B. II. “Evidence on the Usefulness of Alternative Earnings per Share Measures.” Financial Analysts Journal, 53 (1997), 2433.Google Scholar
Jiang, J. X.; Petroni, K. R.; and Wang, I. Y.. “CFOs and CEOs: Who Have the Most Influence on Earnings Management?Journal of Financial Economics, 96 (2010), 513526.Google Scholar
Johnson, S. A.; Ryan, H. E.; and Tian, Y. S.. “Managerial Incentives and Corporate Fraud: The Sources of Incentives Matter.” Review of Finance, 13 (2009), 115145.CrossRefGoogle Scholar
Karpoff, J. M.; Koester, A.; Lee, D. S.; and Martin, G. S.. “Proxies and Databases in Financial Misconduct Research.” Accounting Review, 92 (2017), 129163.Google Scholar
Kothari, S. P.; Leone, A. J.; and Wasley, C. E.. “Performance Matched Discretionary Accrual Measures.” Journal of Accounting and Economics, 39 (2005), 163197.CrossRefGoogle Scholar
Larcker, D. F.; Richardson, S. A.; and Tuna, I. R.. “Corporate Governance, Accounting Outcomes, and Organizational Performance.” Accounting Review, 82 (2007), 9631008.Google Scholar
Larcker, D. F., and Zakolyukina, A. A.. “Detecting Deceptive Discussions in Conference Calls.” Journal of Accounting Research, 50 (2012), 495540.Google Scholar
Liu, X.Corruption Culture and Corporate Misconduct. Journal of Financial Economics, 122 (2016), 307327.Google Scholar
McNichols, M.Research Design Issues in Earnings Management Studies.” Journal of Accounting and Public Policy, 19 (2000), 313345.Google Scholar
Owens, E.; Wu, J. S.; and Zimmerman, J.. “Idiosyncratic Shocks to Firm Underlying Economics and Abnormal Accruals.” Accounting Review, 92 (2017), 183219.Google Scholar
Price, R. A. III; Sharp, N. Y.; and Wood, D. A.. “Detecting and Predicting Accounting Irregularities: A Comparison of Commercial and Academic Risk Measures.” Accounting Horizons, 25 (2011), 755780.Google Scholar
Richardson, S. A.; Sloan, R. G.; Soliman, M. T.; and Tuna, I. R.. “The Implications of Accounting Distortions and Growth for Accruals and Profitability.” Accounting Review, 81 (2006), 713743.Google Scholar
Roberts, M. R., and Sufi, A.. “Control Rights and Capital Structure: An Empirical Investigation.” Journal of Finance, 64 (2009), 16571695.Google Scholar
Sweeney, A. P.Debt-Covenant Violations and Managers’ Accounting Responses.” Journal of Accounting and Economics, 17 (1994), 281308.Google Scholar
Thomas, J.Unusual Patterns in Reported Earnings.” Accounting Review, 64 (1989), 773787.Google Scholar
Yu, F.Analyst Coverage and Earnings Management.” Journal of Financial Economics, 88 (2008), 245271.Google Scholar
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