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Optimization of Post-Scoring Classification and Impact on Regulatory Capital for Low Default Portfolios

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  • Genest, benoit
  • Fares, Ziad

Abstract

After the crisis of 2008, new regulatory requirements have emerged with supervisors strengthening their position in terms of requirements to meet IRBA standards. Low Default Portfolios (LDP) present specific characteristics that raise challenges for banks when building and implementing credit risk models. In this context, where banks are looking to improve their Return On Equity and supervisors strengthening their positions, this paper aims to provide clues for optimizing Post-Scoring classification as well as analyzing the relationship between the number of classes in a rating scale and the impact on regulatory capital for LDPs.

Suggested Citation

  • Genest, benoit & Fares, Ziad, 2014. "Optimization of Post-Scoring Classification and Impact on Regulatory Capital for Low Default Portfolios," MPRA Paper 62907, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:62907
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    References listed on IDEAS

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    1. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
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    More about this item

    Keywords

    Basel II; Return On Equity; RWA; Classification trees; Rating scale; Gini; LDP;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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