Development and application of consumer credit scoring models using profit-based classification measures

نویسندگان

  • Thomas Verbraken
  • Cristián Bravo
  • Richard Weber
  • Bart Baesens
چکیده

This paper presents a new approach for consumer credit scoring, by tailoring a profit-based classification performance measure to credit risk modeling. This performance measure takes into account the expected profits and losses of credit granting and thereby better aligns the model developers’ objectives with those of the lending company. It is based on the Expected Maximum Profit (EMP) measure and is used to find a trade-off between the expected losses – driven by the exposure of the loan and the loss given default – and the operational income given by the loan. Additionally, one of the major advantages of NOTICE: this is the author’s version of a work that was accepted for publication in the European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Please cite this paper as follows: Verbraken, T., Bravo, C., Weber, R. and Baesens, B. (2014) Development and application of consumer credit scoring models using profit-based classification measures. European Journal of Operational Research. In Press. Available Online: http://www.sciencedirect.com/ science/article/pii/S0377221714003105 Email Addresses: [email protected], [email protected] (corresponding), [email protected], [email protected]

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عنوان ژورنال:
  • European Journal of Operational Research

دوره 238  شماره 

صفحات  -

تاریخ انتشار 2014