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Going concern assessment: a literature review

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  • Proho Mahir

    (1 University of Sarajevo, School of Economics and Business)

Abstract

This paper addresses a underlying assumption of financial statements: going concern assumption. The going concern assumption constitutes a foundational premise presuming that the entity will conduct its operations in the forthcoming period (at least 12 months) without significant risk of business interruption. The primary objective of financial reporting is to provide information regarding the entity's financial position and performance to diverse users. Management is obligated to apprise users, and auditors are tasked with scrutinizing the assertion that the entity will continue its operations for a period exceeding 12 months. This paper meticulously examines the regulatory framework grounded in International Financial Reporting Standards and International Standards on Auditing. It particularly scrutinizes the role and significance of auditors in assessing the going concern assumption, encompassing an analysis of factors influencing the auditor's opinion on the going concern assumption and addressing criticisms directed at auditors. Furthermore, the paper explores past experiences in developing models for evaluating going concern assumptions, potentially aiding forensic accountants in uncovering irregularities in financial statements, given the correlation between a heightened bankruptcy risk and fraudulent activities.

Suggested Citation

  • Proho Mahir, 2023. "Going concern assessment: a literature review," Journal of Forensic Accounting Profession, Sciendo, vol. 3(2), pages 48-62, December.
    • Handle: RePEc:vrs:jfaccp:v:3:y:2023:i:2:p:48-62:n:3
    DOI: 10.2478/jfap-2023-0009
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    References listed on IDEAS

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    1. Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," JRFM, MDPI, vol. 1(1), pages 1-34, December.
    2. Charles L. Merwin, 1942. "Financing Small Corporations in Five Manufacturing Industries, 1926–36," NBER Books, National Bureau of Economic Research, Inc, number merw42-1, March.
    3. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    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. Karthik Balakrishnan & Ross Watts & Luo Zuo, 2016. "The Effect of Accounting Conservatism on Corporate Investment during the Global Financial Crisis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 43(5-6), pages 513-542, May.
    6. Matt Pinnuck, 2012. "A Review of the Role of Financial Reporting in the Global Financial Crisis," Australian Accounting Review, CPA Australia, vol. 22(1), pages 1-14, March.
    7. Michael D. Bordo & John S. Landon-Lane, 2010. "The Global Financial Crisis of 2007-08: Is it Unprecedented?," NBER Working Papers 16589, National Bureau of Economic Research, Inc.
    8. Persakis, Anthony & Iatridis, George Emmanuel, 2015. "Earnings quality under financial crisis: A global empirical investigation," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 1-35.
    9. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    10. Marco Maffei & Clelia Fiondella & Claudia Zagaria & Annamaria Zampella, 2020. "A multiple discriminant analysis of the auditor’s going concern opinion: the case of audit opinions in Italy," Meditari Accountancy Research, Emerald Group Publishing Limited, vol. 28(6), pages 1179-1208, June.
    11. Elizabeth Gutierrez & Jake Krupa & Miguel Minutti-Meza & Maria Vulcheva, 2020. "Do going concern opinions provide incremental information to predict corporate defaults?," Review of Accounting Studies, Springer, vol. 25(4), pages 1344-1381, December.
    12. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    13. Husam Aldamen & Keith Duncan & Simone Kelly & Ray McNamara & Stephan Nagel, 2012. "Audit committee characteristics and firm performance during the global financial crisis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(4), pages 971-1000, December.
    14. Walter A. Chudson, 1945. "The Pattern of Corporate Financial Structure: A Cross-Section View of Manufacturing, Mining, Trade, and Construction, 1937," NBER Books, National Bureau of Economic Research, Inc, number chud45-1, March.
    15. Louwers, TJ, 1998. "The relation between going-concern opinions and the auditor's loss function," Journal of Accounting Research, Wiley Blackwell, vol. 36(1), pages 143-156.
    16. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    17. Sikka, Prem, 2009. "Financial crisis and the silence of the auditors," Accounting, Organizations and Society, Elsevier, vol. 34(6-7), pages 868-873, August.
    18. Sanoran, Kanyarat (Lek), 2018. "Auditors’ going concern reporting accuracy during and after the global financial crisis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 14(2), pages 164-178.
    19. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    20. Tomas Kliestik & Jaromir Vrbka & Zuzana Rowland, 2018. "Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 13(3), pages 569-593, September.
    21. Frydman, Halina & Altman, Edward I & Kao, Duen-Li, 1985. "Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, American Finance Association, vol. 40(1), pages 269-291, March.
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