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




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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.



Item Type: MPRA Paper -

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

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

Language: English-

Keywords: Basel II, Return On Equity, RWA, Classification trees, Rating scale, Gini, LDP-

Subjects: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special TopicsC - Mathematical and Quantitative Methods > C5 - Econometric ModelingG - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages-





Author: Genest, benoit

Source: https://mpra.ub.uni-muenchen.de/62907/







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