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Natural Disasters and Meeting‐or‐Beating Earnings Benchmarks

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  • Jonghan Park
  • Tianming Zhang

Abstract

We hypothesise and find evidence that when natural disasters occur, managers are motivated to meet or beat the dynamic earnings benchmark (i.e., analyst earnings forecast) but not the static earnings benchmarks (i.e., zero or last year's earnings). Further analyses show that managers meet or beat the dynamic earnings benchmark through non‐GAAP exclusion and expectation management. This study extends the earnings benchmark literature by providing evidence that managers may take advantage of natural disasters to make opportunistic accounting choices.

Suggested Citation

  • Jonghan Park & Tianming Zhang, 2026. "Natural Disasters and Meeting‐or‐Beating Earnings Benchmarks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 66(2), pages 1672-1690, June.
    • Handle: RePEc:bla:acctfi:v:66:y:2026:i:2:p:1672-1690
    DOI: 10.1111/acfi.70140
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    References listed on IDEAS

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    1. Jun Du & Xinhui Dai & Bo Yan, 2025. "Typhoon strikes, political costs and earnings management," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(2), pages 2065-2105, June.
    2. Barth, ME & Elliott, JA & Finn, MW, 1999. "Market rewards associated with patterns of increasing earnings," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 37(2), pages 387-413.
    3. Theodore E. Christensen & Kenneth J. Merkley & Jennifer Wu Tucker & Shankar Venkataraman, 2011. "Do managers use earnings guidance to influence street earnings exclusions?," Review of Accounting Studies, Springer, vol. 16(3), pages 501-527, September.
    4. Gu, Zhaoyang & Chen, Ting, 2004. "Analysts' treatment of nonrecurring items in street earnings," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 129-170, December.
    5. Jeremiah W. Bentley & Theodore E. Christensen & Kurt H. Gee & Benjamin C. Whipple, 2018. "Disentangling Managers’ and Analysts’ Non‐GAAP Reporting," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 56(4), pages 1039-1081, September.
    6. Thomas Chaney & David Sraer & David Thesmar, 2012. "The Collateral Channel: How Real Estate Shocks Affect Corporate Investment," American Economic Review, American Economic Association, vol. 102(6), pages 2381-2409, October.
    7. 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.
    8. Larry R. Davis & Billy S. Soo & Gregory M. Trompeter, 2009. "Auditor Tenure and the Ability to Meet or Beat Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 26(2), pages 517-548, June.
    9. Jones, Jj, 1991. "Earnings Management During Import Relief Investigations," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 29(2), pages 193-228.
    10. 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.
    11. Vasiliki Athanasakou & Norman Strong & Martin Walker, 2009. "Earnings management or forecast guidance to meet analyst expectations?," Accounting and Business Research, Taylor & Francis Journals, vol. 39(1), pages 3-35.
    12. Qiurong Yang & Gang Bai, 2024. "The effect of natural disasters on big bath earnings management of banks: evidence from the 2005 US hurricane season," Accounting and Business Research, Taylor & Francis Journals, vol. 54(6), pages 673-699, September.
    13. Kong, Dongmin & Lin, Zhiyang & Wang, Yanan & Xiang, Junyi, 2021. "Natural disasters and analysts' earnings forecasts," Journal of Corporate Finance, Elsevier, vol. 66(C).
    14. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    15. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    16. repec:spo:wpmain:info:hdl:2441/75koqefued8i7pihbrl9u84p4u is not listed on IDEAS
    17. Shawn X. Huang & Raynolde Pereira & Changjiang Wang, 2017. "Analyst Coverage and the Likelihood of Meeting or Beating Analyst Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 34(2), pages 871-899, June.
    18. Dessaint, Olivier & Matray, Adrien, 2017. "Do managers overreact to salient risks? Evidence from hurricane strikes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 97-121.
    19. Johnson, Marilyn F. & Nelson, Karen K. & Frankel, Richard M., 2002. "The Relation Between Auditor's Fees for Non-audit Services and Earnings Quality," Research Papers 1696r, Stanford University, Graduate School of Business.
    20. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    21. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
    22. Joshua J. Filzen & Kyle Peterson, 2015. "Financial Statement Complexity and Meeting Analysts’ Expectations," Contemporary Accounting Research, John Wiley & Sons, vol. 32(4), pages 1560-1594, December.
    23. García, Diego & Norli, Øyvind, 2012. "Geographic dispersion and stock returns," Journal of Financial Economics, Elsevier, vol. 106(3), pages 547-565.
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