Document Type

Conference Proceeding

Faculty

Faculty of Business and Law

School

School of Accounting, Finance and Economics / Finance, Economics, Markets and Accounting Research Centre

RAS ID

12960

Comments

This article was originally published as: Allen, D. E., & Powell, R. (2011). Credit risk measurement methodologies. Paper presented at the 19th International Congress on Modelling and Simulation. Australian Mathematical Sciences Institute. Perth, Australia. Original article available here

Abstract

The significant problems experienced by banks during the Global Financial Crisis have highlighted the critical importance of measuring and providing for credit risk. This paper will examine four popular methods used in the measurement of credit risk and provide an analysis of the relative shortcomings and advantages of each method. The study includes external ratings approaches, financial statement analysis models, the Merton / KMV structural model, and the transition based models of CreditMetrics and CreditPortfolioView. Each model assesses different cr iteria, and an understanding of the merits and disadvantages of the various models can assist banks and other credit modellers in choosing between the available credit modelling techniques.

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