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Assessing individual credit risk on the basis of discriminant analysis by Poland's cooperative banks

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  • RafaÅ‚ Balina
  • MirosÅ‚awa Nowak

Abstract

The main objective of the study was to determine the potential of Poland's cooperative banks utilising discriminant analysis to assess individual credit capability. In the construction of the scoring model, data from retail co-op bank clientele was used. The chosen banks operated in rural areas and their clients were granted loans during the years 2010-2014. The realised study considered the possibility of applying discriminant analysis to restrict a co-op bank's individual credit risk exposure. From among 28 explanatory variables describing a bank's clients who were applying for loans, five variables were found to be effective in the model: applicant's age, applicant's higher education, current loan obligations, applicant's default on loan payment, and maximum number of days an applicant was late in due payment. These variables, connected with assessing regressive coefficients returned a highly effective credit risk indicator identifying potentially insolvent clients.

Suggested Citation

  • RafaÅ‚ Balina & MirosÅ‚awa Nowak, 2017. "Assessing individual credit risk on the basis of discriminant analysis by Poland's cooperative banks," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 7(2), pages 103-112.
    • Handle: RePEc:ids:ijbcrm:v:7:y:2017:i:2:p:103-112
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    Cited by:

    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.

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