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Fuzzy Modeling of the Creditworthiness Assessments of Bank’s Potential Borrowers in Ukraine

Author

Listed:
  • Oksana Omelchenko
  • Oleksandr Dorokhov
  • Oleg Kolodiziev
  • Liudmyla Dorokhova

Abstract

The work is aimed at defining the directions of credit activity intensification of the economic entities through critical analysis of banks as a powerful leverage of raising additional resources and ensuring sufficient conditions for the development of entrepreneurship. The system of management of quality credit portfolio has considered as the basis for increasing the capacity of the banking system and development the credit relations in a country. It is proved that the issue of complex automation of processing indicators in the face of rising systemic risk, forecasting the results based on the analysis of their dynamics is an increasingly urgent task for the modern banking system. Authors have proposed modern analytical tools to provide the necessary quality of credit activity of the structural units of banks by grounded assessment of the creditworthiness of potential borrowers. The paper presents the model of assessing the creditworthiness of potential borrowers of the bank based on fuzzy logic regarding selected qualitative and quantitative indicators that are fully characterizing the client.

Suggested Citation

  • Oksana Omelchenko & Oleksandr Dorokhov & Oleg Kolodiziev & Liudmyla Dorokhova, 2018. "Fuzzy Modeling of the Creditworthiness Assessments of Bank’s Potential Borrowers in Ukraine," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 100-125.
    • Handle: RePEc:bas:econst:y:2018:i:4:p:100-125
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    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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