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Developing, Validating and Using Internal Ratings

Methodologies and Case Studies

Developing, Validating and Using Internal Ratings by Giacomo De Laurentis
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Preface

1 Introduction

2 Classifications and key concepts of credit risk

2.1 A classification

2.2 Key concepts

3 Rating assignment methodologies

3.1 Experts based approaches

3.2 Statistical based models

3.3 Heuristic and numerical approaches

3.4 Involving qualitative information

4 Developing a statistical based rating system

4.1 The process

4.2 Setting model’s objectives and generating the dataset

4.3 Case study: dataset and preliminary analysis

4.4 Defining an analysis sample

4.5 Univariate and bivariate analyses

4.6 Estimating a model and assessing its discriminatory power

4.7 From scores to ratings and from ratings to probabilities of default

5 Validating rating models

5.1 Validation profiles

5.2 Roles of internal validation units

5.3 Qualitative and quantitative validation

6 Case Study. Validating PanalpBank’s statistical based rating system for Financial Institutions 211

6.1 Case study objectives and context

6.2 The ‘Development report’ for the validation unit

6.3 The ‘Validation report’ by the validation unit

7 Conclusions. Ratings usage opportunities and warnings.

7.1 Internal ratings are critical to credit risk management

7.2 Internal ratings assignment trends

7.3 Statistical based ratings and regulation: conflicting objectives?

7.4 Statistical based ratings and customers: needs and fears

7.5 Limits of statistical based ratings

7.6 Statistical based ratings and the theory of financial intermediation

7.7 Statistical based ratings usage: guidelines

Bibliography

Subject Index

Wiley; August 2010
334 pages; ISBN 9781119957645
Read online, or download in secure EPUB or secure PDF format
Title: Developing, Validating and Using Internal Ratings
Author: Giacomo De Laurentis; Renato Maino; Luca Molteni
 
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ISBNs
0470971894
9780470711491
9780470971895
9781119957645
9781119958161