Statistics and Its Interface

Volume 1 (2008)

Number 2

Statistical models for the Basel II internal ratings-based approach to measuring credit risk of retail products

Pages: 229 – 241

DOI: https://dx.doi.org/10.4310/SII.2008.v1.n2.a2

Authors

Tze Leung Lai (Department of Statistics, Stanford University, Stanford, Calif., U.S.A.)

Samuel Po-Shing Wong (Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong)

Abstract

The Basel II Accord is a financial risk management standard recently adopted by many financial institutions and regulators around the world. The general spirit of the accord is to develop a systematic approach to evaluating and controlling risks based on timely data and their analysis and interpretation. The interface between statistical modeling and the financial application is of pivotal importance in the development of the internal ratings-based (IRB) approach recommended by the Basel II Accord. This article reviews the IRB requirements and develops new empirical Bayes models for modeling probability of default and loss given default, which are the key ingredients in the IRB approach to credit risk analysis of retail exposures.

2010 Mathematics Subject Classification

Primary 62P05. Secondary 62J12, 62M05.

Full Text (PDF format)

Published 1 January 2008