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Models of Assessment of the Credit Risk of Borrowers with a Time Parameter for the Systems of Application Credit Scoring

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  • Pisanets Konstantin K.

    (Kyiv National University named after T. Shevchenko)

Abstract

The article considers a concept of introduction of the time factor into the models of application credit scoring as a key characteristic of a default level. Using example of data of the consumption segment of the credit market of Ukraine, the article presents results of modelling the credit risk of potential borrowers (applicants), using approaches of Kaplan-Meier and Cox.

Suggested Citation

  • Pisanets Konstantin K., 2013. "Models of Assessment of the Credit Risk of Borrowers with a Time Parameter for the Systems of Application Credit Scoring," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 7, pages 136-140.
    • Handle: RePEc:idp:bizinf:y:2013:i:7:p:136_140
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    References listed on IDEAS

    as
    1. Anderson, Raymond, 2007. "The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation," OUP Catalogue, Oxford University Press, number 9780199226405.
    2. B Baesens & T Van Gestel & M Stepanova & D Van den Poel & J Vanthienen, 2005. "Neural network survival analysis for personal loan data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(9), pages 1089-1098, September.
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