A comparative analysis of current credit risk models

Michel Crouhy*, Dan Galai, Robert Mark

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

469 Scopus citations

Abstract

The new BIS 1998 capital requirements for market risks allows banks to use internal models to assess regulatory capital related to both general market risk and credit risk for their trading book. This paper reviews the current proposed industry sponsored Credit Value-at-Risk methodologies. First, the credit migration approach, as proposed by JP Morgan with CreditMetrics, is based on the probability of moving from one credit quality to another, including default, within a given time horizon. Second, the option pricing, or structural approach, as initiated by KMV and which is based on the asset value model originally proposed by Merton (Merton, R., 1974. Journal of Finance 28, 449-470). In this model the default process is endogenous, and relates to the capital structure of the firm. Default occurs when the value of the firm's assets falls below some critical level. Third, the actuarial approach as proposed by Credit Suisse Financial Products (CSFP) with CreditRisk+ and which only focuses on default. Default for individual bonds or loans is assumed to follow an exogenous Poisson process. Finally, McKinsey proposes CreditPortfolioView which is a discrete time multi-period model where default probabilities are conditional on the macro-variables like unemployment, the level of interest rates, the growth rate in the economy, ... which to a large extent drive the credit cycle in the economy.

Original languageEnglish
Pages (from-to)59-117
Number of pages59
JournalJournal of Banking and Finance
Volume24
Issue number1-2
DOIs
StatePublished - Jan 2000

Keywords

  • Banking
  • Credit risk
  • Default risk
  • G13
  • G21
  • G28
  • Migration risk
  • Regulatory capital
  • Risk management
  • Spread risk

Fingerprint

Dive into the research topics of 'A comparative analysis of current credit risk models'. Together they form a unique fingerprint.

Cite this