Development and Validation of Key Estimates for Capital Models

Michel Araten

Contents
1.

Development and Validation of Key Estimates for Capital Models

2.

Explaining the Correlation in Basel II: Derivation and Evaluation

3.

Explaining the Credit Risk Elements in Basel II

4.

Loss Given Default and Recovery Risk: From Basel II Standards to Effective Risk Management Tools

5.

Assessing the Validity of Basel II Models in Measuring Risk of Credit Portfolios

6.

Measuring Counterparty Credit Risk for Trading Products under Basel II

7.

Implementation of an IRB-Compliant Rating System

8.

Stress Tests of Banks’ Regulatory Capital Adequacy: Application to Tier 1 Capital and to Pillar 2 Stress Tests

9.

Advanced Credit Model Performance Testing to Meet Basel Requirements: How Things Have Changed!

10.

Designing and Implementing a Basel II Compliant PIT–TTC Ratings Framework

11.

Basel II in the Light of Moody’s KMV Evidence

12.

Basel II Capital Adequacy Rules for Retail Exposures

13.

IRB-Compliant Models in Retail Banking

14.

Basel II Capital Adequacy Rules for Securitisations

15.

Regulatory Priorities and Expectations in the Implementation of the IRB Approach

16.

Market Discipline and Appropriate Disclosure in Basel II

17.

Validation of Banks’ Internal Rating Systems – A Supervisory Perspective

18.

Rebalancing the Three Pillars of Basel II

19.

Implementing a Basel II Scenario-Based AMA for Operational Risk

20.

Loss Distribution Approach in Practice

21.

An Operational Risk Rating Model Approach to Better Measurement and Management of Operational Risk

22.

Constructing an Operational Event Database

23.

Insurance and Operational Risk

INTRODUCTION

Economic capital models, as well as, Basel II regulatory capital models under the advanced internal ratings-based (AIRB) approach require, at minimum, estimates of three key parameters. The qualification criteria for using the AIRB approach includes demonstrating to the relevant supervisors that these estimates are an appropriate quantification of the risk-rating process that can be validated and that are subject to the control and oversight of independent parties. This chapter deals with methods for estimating the values of these parameters from historical data and with approaches for validation of these estimates for Basel II. The three key parameters are as follows:

(1)   

PD: PD, also known as expected default frequency, is the default probability for a borrower over a one year period. It is often associated or mapped to the risk grade or risk rating (RR) of the borrower.

(2)   

LGD: LGD, also known as loss severity, is the expected amount of loss on a facility provided to the borrower. Loss given default and recovery (given default) are the mirror images of each other, as they add up to the amount owed by the

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