Settlement Instruments of Problem Loan Debt of Commercial Banks under War Conditions
Abstract
The relevance of the article is due to the need to search for new principles, tools and approaches to resolving the problematic loan debt of commercial banks in post-war conditions. The following research methods were used as a decision-making tool in the context of the effectiveness of measures to reduce problem loans in banks: analysis and synthesis; induction, deduction and analogy; abstraction; generalization; idealization. Measures aimed at the effective and timely solution of the problem of banking assets are considered. Modern tools to reduce problem loans have been analysed. The main schemes of work with problem assets existing in international practice are investigated. The classification of overdue debt management tools is proposed, and a comparative analysis of their effectiveness is carried out. The main shortcomings of the existing system for settling problem loan debts are identified and directions for its improvement are disclosed from the point of view of external institutional and intra-banking factors based on international experience. Attention is focused on the operational readiness of banks to manage the growing volumes of problem loans. The various ways available to banks to resolve problem loans are considered, including some of the challenges and obstacles that banks face in practice. The directions of the settlement of problem loans in banks by creating special departments are analysed. The system of choice of tools for settling bank problem loan debts is substantiated. The necessity of more targeted state policy measures to eliminate banking risks through problem loans is substantiated. There is a need for policy coordination within national NPL strategies. Recommendations are proposed for building a system for managing problem loans of corporate borrowers in a bank. The possibility of using foreign default forecasting models for the use in Ukrainian banking practice is assessed.
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References
Andros, S.; Melnyk, L.; Butenko, N.; Zaikina, H. & Tykhenko, V. (2019). Efficiency of Management of Loan Funds in the Banking Industry of Ukraine: Data of the Factor Analysis of Credit Turnover. Marketing and Management of Innovations, Vol. 4, pp. 129–139. http://doi.org/10.21272/mmi.2019.4-11.
Ari, Anil; Chen, Sophia & Ratnovski, Lev (2021). The Dynamics of Non-Performing Loans During Banking Crises: A New Database with post-COVID-19 Implications. Journal of Banking & Finance, Elsevier, Vol. 133(C). https://doi.org/10.1016/j.jbankfin.2021.106140.
Bertay, Ata Can; Demirgüç-Kunt, Asli & Huizinga, Harry (2015). Bank Ownership and Credit Over the Business Cycle: Is Lending by State Banks Less Procyclical? Journal of Banking & Finance, Elsevier, Vol. 50(C), pp. 326–339. https://doi.org/10.1016/j.jbankfin.2014.03.012.
Brei, Michael; Gambacorta, Leonardo & von Peter, Goetz (2013). Rescue Packages and Bank Lending. Journal of Banking & Finance, Elsevier, Vol. 37, Issue 2, pp. 490–505. https://doi.org/10.1016/j.jbankfin.2012.09.010.
Caballero, Ricardo J.; Hoshi, Takeo and Kashyap, Anil K. (2008). Zombie Lending and Depressed Restructuring in Japan. American Economic Review, Vol. 98, Issue 5, pp. 1943–77. https://doi.org/10.1257/aer.98.5.1943.
Cucinelli, Doriana (2015). The Impact of Non-Performing Loans on Bank Lending Behavior: Evidence from the Italian Banking Sector. Eurasian Journal of Business and Economics, Vol. 8, Issue 16, pp. 59–71. https://doi.org/10.17015/ejbe.2015.016.04.
DeYoung, Robert; Gron, Anne; Torna, Gӧkhan, and Winton, Andrew (2015). Risk Overhang and Loan Portfolio Decisions: Small Business Loan Supply before and during the Financial Crisis. Journal of Finance, Vol. 70, Issue 6, pp. 2451–2488. https://doi.org/10.1111/jofi.12356.
Jordà, Òscar; Schularick, Moritz and Taylor, Alan M. (2013). When Credit Bites Back. Journal of Money, Credit, and Banking, Vol. 45, Issue 2, pp. 3–28. https://doi.org/10.1111/jmcb.12069.
Peek, Joe, and Rosengren, Eric S. (2005). Unnatural Selection: Perverse Incentives and the Misallocation of Credit in Japan, American Economic Review, American Economic Association, Vol. 95, Issue 4, pp. 1144–1166. https://doi.org/10.1257/0002828054825691.
Schivardi, Fabiano; Sette, Enrico, and Tabellini, Guido (2021). Credit Misallocation during the European Financial Crisis. The Economic Journal, Vol. 132, Issue 641, pp. 391–423. https://doi.org/10.1093/ej/ueab039.
Schwert, Michael (2018). Bank Capital and Lending Relationships. Journal of Finance, Vol. 73, Issue 2, pp. 787–830. https://doi.org/10.1111/jofi.12604.
Tan, Yuyan, Huang, Yiping and Woo, Wing Thye (2016). Zombie Firms and the Crowding-Out of Private Investment in China. Asian Economic Paper, Vol. 15, Issue 3, pp. 32–55. https://doi.org/10.1162/ASEP_a_00474.
Baudino, Patrizia, Yun, Hyuncheol (2017). Resolution of Non-Performing Loans — Policy Options. Financial Stability Institute. FSI Insights on Policy Implementation, No 3. Bank for International Settlements. URL: https://bit.ly/3QQCg0o.
Resolving bank asset distress. World Bank Open Knowledge Repository. URL: https://bit.ly/3woi7oN.
COVID-19 and Non-Performing Loan Resolution in the Europe and Central Asia Region. Policy note (December, 2020). World Bank Group. URL: https://bit.ly/3QTdYmh.
Handbook for MSME NPL Management and Workout. 2017. Banka Slovenije. URL: http://bit.ly/3D34HCJ.
За період з 24 лютого 2022 року господарськими судами відкрито 65 справ про банкрутство (неплатоспроможність) боржників. (05.05.2022). Мініс-терство юстиції України. URL: https://bit.ly/3GXqe0I.
Non-Performing Loan Write-Offs: Practices in the CESEE region. Policy Brief. September 2019. World Bank Group. URL: https://bit.ly/3XH7QQm.
Financial Stability Review. November 2016. European Central Bank. URL: https://bit.ly/3Hg72MV.
Credit risk. Implementing Technical Standards on NPL Transaction Data Templates. European Banking Authority. URL: http://bit.ly/3D571ZU.