Abstract

Internal models may be used by banks to calculate their regulatory capital for credit risk. There are a variety of methodologies for estimating default probabilities, which leads to major differences in credit provisions and capital requirements. Using either a classical or a Bayesian technique, the computation of default probabilities can be ensured. Reduced form models are a choice. These models, however, might not be used to quantify economic capital because they assume independence among default events. Banks are compelled to employ structural models since defaults in the real world of banking are not solely due to exogenous causes. Because of the diversification effects between credit losses for one obligor and credit losses for other obligors in each bank’s portfolio, total unexpected losses do not equal the sum of individual unexpected losses. Those two types of models—reduced form and structural—are provided in either a theoretical or a numerical format. This paper covers both the classical and Bayesian techniques, with the latter employing a broader set of prior functions that offer considerably different probabilities. Distinguishing between imprudence, conservatism, and exaggeration might be difficult in the context of low default portfolios with scarce data. A realistic rule is proposed for finding the minimum and maximum bounds and therefore assessing the required conservatism margin by comparing classical and Bayesian probabilities.

Highlights

  • There are a variety of methodologies for estimating default probabilities, which leads to major differences in credit provisions and capital requirements

  • Because of the diversification effects between credit losses for one obligor and credit losses for other obligors in each bank’s portfolio, total unexpected losses do not equal the sum of individual unexpected losses

  • Banks may use internal models to assess their credit risk exposure within an internal ratings-based framework under the Basel Accords issued by the Basel Committee on Banking Supervision, according to capital requirements rules adopted by banking institutions and transposed into the legal system across the European Union1

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Summary

Introduction

Banks may use internal models to assess their credit risk exposure within an internal ratings-based framework under the Basel Accords issued by the Basel Committee on Banking Supervision, according to capital requirements rules adopted by banking institutions and transposed into the legal system across the European Union. A utopia would likewise imply independence of default events foreseen in reduced form models This independence will be studied in order to compare the results to those obtained from structural models (which account for the existence of a dependence structure among borrowers in the same risk class) and to assess the significance of the asset correlation component.

General Considerations
Classical Approach
Prior Distributions
Conservative Zone
Risk Classes and Asset Correlation
Bayesian Approach
Comparison of the Results
Findings
Final Thoughts

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