References
- Alareeni, B. (2019). A review of auditors’ GCOs, statistical prediction models and artificial intelligence technology. International Journal of Business Ethics and Governance, 2(1), pp. 19–31.
- Aldamen, H., Duncan, K., Kelly, S., McNamara, R. Nagel, S. (2012). Audit committee characteristics and firm performance during the global financial crisis. Accounting and Finance, 52(4), pp. 971–1000.
- Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), pp. 589-609
- American Institute of Certified Public Accountants. Auditing Standards Board. (1981). The auditors’ considerations when a question arises about an entity’s continued existence; Statement on Auditing Standards.
- Balakrishnan, K., Watts, R. & Luo, Z. (2016). Effect of accounting conservatism on corporate investment during the global financial crisis. Journal of Business Finance and Accounting, 43(5-6), pp. 513-542.
- Balcaen, S., & Ooghe, H. (2006). 35 years of studies on business failure: An overview of the classic statistical methodologies and their related problems. British Accounting Review, 38(1), pp. 63–93.
- Beaver, W. H. (1966) Financial Ratios as Predictors of Failure. Journal of Accounting Research, 4, pp. 71-111.
- Beaver, W. H., Mcnichols, M. F & Rhie, J. W. (2005). Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy. Review of Accounting Studies, 10, pp. 93-122.
- Blay, A., Geiger, M., & North, D. (2011). The auditor’s going-concern opinion as a communication of risk. Auditing: A Journal of Practice and Theory, 30(2), pp. 77–102.
- Bordo, M. D., Landon-Lane, J. S. (2010). The global financial crisis of 2007–08: is it unprecedented? (Working Paper NO. 16589). Cambridge, MA: National Bureau of Economic Research.
- Bryan-Low, C. (2002, July 11). Auditors fail to foresee bankruptcies. Wall Street Journal.
- Carson, E., Fargher, N., Geiger, M., Lennox, C., Raghunandan, K., & Willekens, M. (2013). Audit reporting for going-concern uncertainty: a research synthesis. Auditing: a Journal of Theory and Practice, 32 (1), pp. 353–384
- Chasan, E. (2012, September 12). Going concern opinions on life support with investors. Wall Street Journal.
- Chudson, W. (1945). The pattern of corporate financial structure: a cross-section view of manufacturing, mining, trade, and construction, 1937. New York: National Bureau of Economic Research
- Feldmann, D., & Read, W. (2010). Auditor conservatism after Enron. Auditing: A Journal of Practice & Theory, 29(1), pp. 267–278.
- Fitzpatrick, F. (1932). A comparison of ratios of successful industrial enterprises with those of failed firm. Certified Public Accountant, 6, pp. 727-731.
- Frydman, H., Altman, E. I., Kao, D-L. (1985). Introducing recursive partitioning for financial classification: the case of financial distress. The Journal of Finance, 40(1), pp. 269-291.
- Geiger, M. A., & Rama, D. V. (2006). Audit firm size and going-concern reporting accuracy. Accounting Horizons, 20(1), pp. 1–17.
- Geiger, M. A., Raghunandan, K., & Rama, D. V. (2005). Recent changes in the association between bankruptcies and prior audit opinion. Auditing: A Journal of Practice & Theory, 24(1), pp. 21–35.
- Gutierrez, E. F., Krupa, J., Minutti-Meza, M., & Vulcheva, M. (2020). Do going concern opinions provide incremental information to predict corporate defaults? Review of Accounting Studies, 25(4), pp. 1344–1381.
- Hahn, W. (2011). The going concern assumption: its journey into GAAP. CPA Journal, 81(2), pp. 26–31.
- Hauser, R. P., & Booth, D. (2011). Predicting bankruptcy with robust logistic regression. Journal of Data Science, 9(4), pp. 565–584.
- International Auditing and Assurance Standards Board (IAASB). (2015). International standard on auditing 570 – going concern. New York: IFAC.
- International Accounting Standards Board (IASB). (2010). Conceptual framework for financial reporting. London: IFRS Foundation.
- International Accounting Standards Board (IASB). (2018). Conceptual framework for financial reporting. London: IFRS Foundation.
- International Accounting Standards Board (IASB). (2021). Going concern—a focus on disclosure. London: IFRS Foundation.
- International Accounting Standards Board (IASB). (2021). International Accounting Standard 1 - Presentation of Financial Statements. London: IFRS Foundation.
- International Accounting Standards Committee (IASC). (1989). Framework for the Preparation and Presentation of Financial Statements. London: IASC.
- Kliestik, T., Vrbka, J., & Rowland, Z. (2018). Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis. Equilibrium, 13(3), pp. 569–593.
- Knechel, W. R. (2009). Audit lessons from the economic Crisis: Rethinking audit quality. Maastricht University. doi: https://doi.org/10.26481/spe.20090911rk
- Kumor, I., & Poniatowska, L. (2017). The going-concern assumption in the assessment of management and auditors. In Radic, Z, Roncevic, A. & Yongqiang, L. Economic and social development: the legal challenges of modern world: book of proceedings (pp. 804-812). Split: Varazdin Development and Entrepreneurship Agency.
- Li, S., & Wang, S. (2014). A financial early warning logit model and its efficiency verification approach. Knowledge-Based Systems, 70, pp. 78-87.
- Louwers, T. J. (1998). The relationship between going-concern opinions and the auditor’s loss function. Journal of Accounting Research, 36(1), pp. 143-156.
- Maffei, M., Fiondella, C., Zagaria, C., & Zampella, A. (2020). A multiple discriminant analysis of the auditor’s going concern opinion: the case of audit opinions in Italy. Meditari Accountancy Research, 28(6), pp. 1179–1208.
- Martens, D., Bruynseels, L., Baesens, B., Willekens, M., & Vanthienen, J. (2008). Predicting going concern opinion with data mining. Decision Support Systems, 45(4), pp. 765–777.
- McTague, J. (2011, March 19). Auditors in the doghouse. Barron's Online.
- Merwin, C. L. (1942). Financing small corporations in five manufacturing industries, 1926-1936: a dissertation in economics. New York: National Bureau of Economic Research.
- Moonitz, M. (1961). Basic postulates of accounting: accounting research study no. 01 (Guides, Handbooks and Manuals, Vol. 141) Retrieved from: https://egrove.olemiss.edu/aicpa_guides/141
- Myers, L. A., Schmidt, J. J., & Wilkins, M. S. (2014). An investigation of recent changes in going concern reporting decisions among big N and non-big N auditors. Review of Quantitative Finance and Accounting, 43(1), pp. 155–172.
- Odom, M. and Sharda, R. (1990). A Neural Network for Bankruptcy Prediction. International Joint Conference on Neural Networks, Vol. 2, pp. 163-168.
- Ohlson, J. A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), pp. 109-131.
- Pelin, A. (2020). Bank Liquidity – Giong Concern vs. Gone Concern. The Annals of the University of Oradea. Economic Sciences, 29(2), pp. 223–228.
- Persakis, A. & Iatridis, G.E. (2015). Earnings quality under financial crisis: a global empirical investigation. Journal of Multinational Financial Management, Elsevier, 30(C), pp. 1-35.
- Pinnuck, M. (2012). A review of the role of financial reporting in the global financial crisis. Australian Accounting Review, 22(1), pp. 1-14.
- Platt, H. D., & Platt, M. B. (2008). Financial distress comparison across three global regions. Journal of Risk and Financial Management, 1(1), pp. 129-162.
- Ramser, J. R., Foster, L. (1931). A demonstration of ratio analysis (University of Illinois. Bureau of Business Research. Bulletin, No. 40). Urbana: University of Illinois.
- Sandin, A. R., & Porporato, M. (2007). Corporate bankruptcy prediction models applied to emerging economies: Evidence from Argentina in the years 1991‐1998. International Journal of Commerce and Management, 17(4), pp. 295-311.
- Sanoran, K. L. (2018). Auditors’ going concern reporting accuracy during and after the global financial crisis. Journal of Contemporary Accounting y Economics, 14(2), pp. 164-178.
- Senteney, D. L., Chen, Y. & Gupta, A. (2011). Predicting impending bankruptcy from auditor qualified opinions and audit firm changes. Journal of Applied Business Research, 22(1), pp. 41-56
- Shi, Y., & Li, X. (2019). An overview of bankruptcy prediction models for corporate firms: a systematic literature review. Intangible Capital, 15(2), pp. 114-127.
- Shumway, T. (2001). Forecasting bankruptcy more accurately: a simple hazard model. Journal of Business, 74(1), pp. 101-124.
- Sikka, P. (2009). Financial crisis and the silence of the auditors. Accounting, Organizations and Society, 34(6-7), pp. 868–873.
- Smith, R. F., & Winakor, A. H. (1935). Changes in the financial structure of unsuccessful industrial corporations (University of Illinois. Bureau of Business Research. Bulletin, No. 51). Urbana: University of Illinois.
- Sternberg, W. (1992). Cooked books. The Atlantic, 269(1), pp. 20–26.
- Szczepankiewicz, E. I. (2013). Propozycja identyfikacji i klasyfikacji zagrożeń w ocenie zasadności przyjęcia założenia o kontynuacji działalności w jednostkach. Zeszyty Teoretyczne Rachunkowości, 73(129), pp. 113-130.
- Szulc, M. (2012). Wykorzystanie analizy finansowej w badaniu sprawozdań finansowych w świetle badań empirycznych. In Micherda, B. (Ed.), Kierunki ewolucji sprawozdawczości i rewizji finansowej. Warszawa: Difin. pp. 230-245.
- Zavgren, C. (1985). Assessing the vulnerability to failure of American industrial firms: a logistic analysis. Journal of Business Finance & Accounting, 12(1), pp. 19–45.