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Auditor Opinion, IFRS Adoption and Macro Determinants of Financial Distress

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  • Tarek Elkalla

Abstract

This study aims to investigate the impact of auditor opinion, IFRS adoption, and macro-level factors on financial distress using a sample of 221 non-financial UK manufacturing firms listed between 2014 and 2023. A panel fixed-effects regression model is applied to test the research hypotheses, with Altman’s Z-Score serving as a proxy for financial distress. The findings reveal a significant negative association between IFRS adoption and Altman’s Z-Score, while auditor opinion exhibits a significant positive relationship with the Z-Score. Additionally, strong evidence suggests that a composite measure of country-level index variables is significantly linked to higher financial distress. This paper makes a valuable contribution to the financial distress literature by addressing the limited research on the predictive role of IFRS adoption and auditor opinion in financial distress. Furthermore, by examining macro-level influences, this study adds to the existing literature, which predominantly focuses on firm-specific factors.

Suggested Citation

  • Tarek Elkalla, 2025. "Auditor Opinion, IFRS Adoption and Macro Determinants of Financial Distress," Accounting and Finance Research, Sciedu Press, vol. 14(2), pages 1-40, May.
    • Handle: RePEc:jfr:afr111:v:14:y:2025:i:2:p:40
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    References listed on IDEAS

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    1. Sebahattin Demirkan & Harlan Platt, 2009. "Financial status, corporate governance quality, and the likelihood of managers using discretionary accruals," Accounting Research Journal, Emerald Group Publishing Limited, vol. 22(2), pages 93-117, September.
    2. Samuel B. Bonsall & Zahn Bozanic & Paul E.. Fischer, 2013. "What Do Management Earnings Forecasts Convey About the Macroeconomy?," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 51(2), pages 225-266, May.
    3. Rebecca L. Rosner, 2003. "Earnings Manipulation in Failing Firms," Contemporary Accounting Research, John Wiley & Sons, vol. 20(2), pages 361-408, June.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    6. Sebahattin Demirkan & Harlan Platt, 2009. "Financial status, corporate governance quality, and the likelihood of managers using discretionary accruals," Accounting Research Journal, Emerald Group Publishing Limited, vol. 22(2), pages 93-117, September.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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