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Detecting Opportunistic Special Items

Author

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  • Carol Anilowski Cain

    (Department of Accounting, Economics, and Finance, Winston-Salem State University, Winston-Salem, North Carolina 27110;)

  • Kalin S. Kolev

    (Stan Ross Department of Accountancy, Baruch College, New York, New York 10010;)

  • Sarah McVay

    (Department of Accounting, University of Washington, Seattle, Washington 98195)

Abstract

The frequency of special items has increased dramatically over time, offering a convenient conduit for the inappropriate classification of past, present, and future recurring expenses as nonrecurring. Identifying this misclassification is especially important in light of the pervasive use of non–generally accepted accounting principles earnings in recent periods because special items offer camouflage for excluded recurring expenses. Building on prior research, we propose a method for identifying the predicted level of special items, attributing any excess to opportunism, and demonstrate the importance of this partitioning for financial-statement users. In particular, we provide evidence that the opportunistic portion of special items is associated with lower future earnings, cash flows, and returns. We conclude that this portion of special items is more likely to contain opportunistically misclassified recurring expenses that should have been recognized as such in prior, current, or future periods. Thus, we provide a meaningful partition of special items that should be useful to investors, analysts, creditors, auditors, and regulators because each of these parties must assess the implications of special items.

Suggested Citation

  • Carol Anilowski Cain & Kalin S. Kolev & Sarah McVay, 2020. "Detecting Opportunistic Special Items," Management Science, INFORMS, vol. 66(5), pages 2099-2119, May.
  • Handle: RePEc:inm:ormnsc:v:66:y:2020:i:5:p:2099-2119
    DOI: 10.1287/mnsc.2019.3285
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    3. Anagnostopoulou, Seraina C. & Gounopoulos, Dimitrios & Malikov, Kamran & Pham, Hang, 2021. "Earnings management by classification shifting and IPO survival," Journal of Corporate Finance, Elsevier, vol. 66(C).
    4. Bansal, Manish & Kumar, Ashish & Bhattacharyya, Asit & Bashir, Hajam Abid, 2023. "Predictors of revenue shifting and expense shifting: Evidence from an emerging economy," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(1).
    5. Brian Bratten & Stephannie Larocque & Teri Lombardi Yohn, 2023. "Filling in the GAAPs in Individual Analysts’ Street Earnings Forecasts," Management Science, INFORMS, vol. 69(8), pages 4790-4809, August.
    6. Lacina, Michael & Pan, Shanshan & Garner, Steve, 2024. "The BP oil spill and income classification shifting of oil and gas companies," Advances in accounting, Elsevier, vol. 65(C).
    7. Sascha B. Herr & Peter Lorson & Jochen Pilhofer, 2022. "Alternative Performance Measures: A Structured Literature Review of Research in Academic and Professional Journals," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 389-451, September.
    8. William M. Cready & Thomas J. Lopez & Craig A. Sisneros & Shane R. Stinson, 2023. "Empirical implications of incorrect special item tax rate assumptions," Review of Accounting Studies, Springer, vol. 28(2), pages 958-1002, June.

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