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Scoring Models and Credit Risk: The Case of Cooperative Banks in Poland

Author

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  • Krzysztof Kil

    (Department of Banking and Global Financial System, Cracow University of Economics, 31-510 Cracow, Poland)

  • Radosław Ciukaj

    (Department of Banking and Global Financial System, Cracow University of Economics, 31-510 Cracow, Poland)

  • Justyna Chrzanowska

    (Department of Banking and Global Financial System, Cracow University of Economics, 31-510 Cracow, Poland)

Abstract

The aim of the research presented in the article was to analyse the legitimacy of the use of scoring models in banking activities, together with the assessment of the effectiveness of this tool in reducing the high value of the NPL ratio in Polish cooperative banks on the example of banks belonging to the BPS S.A. association in the period between 2004 and 2020. We used a variety of research methods for this purpose including a depth review of the literature, analysis of statistical data regarding the sector of Polish cooperative banks, analysis of financial data of cooperative banks, construction of an econometric panel model, and the designing a questionnaire (which was later sent to the management board of selected cooperative banks). Our research confirmed the significant impact of the use of scoring models in lending activities on the value of the NPL ratio in cooperative banks. The analysed cooperative banks, which used the scoring models proposed by BIK in their lending activity, showed significantly lower values of the NPL ratio in each analysed year than banks that used other scoring models. Our study also confirmed the different direction of the impact of the models offered by BIK and individual scoring models on the value of the NPL ratio. We have also shown that the scoring models proposed by BIK have a statistically significant negative impact on the level of the NPL ratio, and the banks’ own scoring models have a statistically significant positive impact on the level of the NPL ratio.

Suggested Citation

  • Krzysztof Kil & Radosław Ciukaj & Justyna Chrzanowska, 2021. "Scoring Models and Credit Risk: The Case of Cooperative Banks in Poland," Risks, MDPI, vol. 9(7), pages 1-15, July.
    • Handle: RePEc:gam:jrisks:v:9:y:2021:i:7:p:132-:d:593296
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    1. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    2. Irum Saba & Rehana Kouser & Muhammad Azeem, 2012. "Determinants of Non Performing Loans: Case of US Banking Sector," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 15(44), pages 125-136, June.
    3. Dierkes, Maik & Erner, Carsten & Langer, Thomas & Norden, Lars, 2013. "Business credit information sharing and default risk of private firms," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2867-2878.
    4. Vasiliki Makri & Athanasios Tsagkanos & Athanasios Bellas, 2014. "Determinants of Non-Performing Loans: The Case of Eurozone," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 193-206, March.
    5. Allen Berger & Adrian Cowan & W. Frame, 2011. "The Surprising Use of Credit Scoring in Small Business Lending by Community Banks and the Attendant Effects on Credit Availability, Risk, and Profitability," Journal of Financial Services Research, Springer;Western Finance Association, vol. 39(1), pages 1-17, April.
    6. Berger, Allen N & Frame, W Scott & Miller, Nathan H, 2005. "Credit Scoring and the Availability, Price, and Risk of Small Business Credit," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 191-222, April.
    7. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    8. Roland Beck & Petr Jakubik & Anamaria Piloiu, 2015. "Key Determinants of Non-performing Loans: New Evidence from a Global Sample," Open Economies Review, Springer, vol. 26(3), pages 525-550, July.
    9. Bahruddin, Wan Athirah & Masih, Mansur, 2018. "Is the relation between lending interest rate and non-performing loans symmetric or asymmetric ? evidence from ARDL and NARDL," MPRA Paper 91565, University Library of Munich, Germany.
    10. Abedifar, Pejman & Molyneux, Philip & Tarazi, Amine, 2018. "Non-interest income and bank lending," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 411-426.
    11. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    12. Herring, Richard J, 1999. "Credit Risk and Financial Instability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 63-79, Autumn.
    13. Frame, W Scott & Srinivasan, Aruna & Woosley, Lynn, 2001. "The Effect of Credit Scoring on Small-Business Lending," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(3), pages 813-825, August.
    14. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    15. Atilla Çifter, 2015. "Bank concentration and non-performing loans in Central and Eastern European countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 117-137, February.
    16. Siahaan, Andysah Putera Utama, 2017. "Credit Assessment in Determining The Feasibility of Debtors Using Profile Matching," INA-Rxiv ajd9z, Center for Open Science.
    17. Blochlinger, Andreas & Leippold, Markus, 2006. "Economic benefit of powerful credit scoring," Journal of Banking & Finance, Elsevier, vol. 30(3), pages 851-873, March.
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    1. Rafał Balina & Marta Idasz-Balina, 2021. "Drivers of Individual Credit Risk of Retail Customers—A Case Study on the Example of the Polish Cooperative Banking Sector," Risks, MDPI, vol. 9(12), pages 1-26, December.
    2. Cyprian Chwiałkowski & Adam Zydroń & Dariusz Kayzer, 2022. "Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland," Land, MDPI, vol. 12(1), pages 1-20, December.

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