EconPapers    
Economics at your fingertips  
 

Linking Global Economic Dynamics to a South African-Specific Credit Risk Correlation Model

Albert De Wet, Renee van Eyden () and Rangan Gupta ()
Additional contact information
Albert De Wet: First Rand Bank

No 200719, Working Papers from University of Pretoria, Department of Economics

Abstract: In order to address practical questions in credit portfolio management it is necessary to link the cyclical or systematic components of firm credit risk with the firm’s own idiosyncratic credit risk as well as the systematic credit risk component of every other exposure in the portfolio. This paper builds on the methodology proposed by Pesaran, Schuermann, and Weiner (2004) and supplemented by Pesaran, Schuermann, Treutler and Weiner (2006) which has made a significant advance in credit risk modelling in that it avoids the use of proprietary balance sheet and distance-to-default data, focusing on credit ratings which are more freely available. In this paper a country-specific macroeconometric risk driver engine which is compatible with and could feed into the GVAR model and framework of PSW (2004) is constructed, using vector error-correcting (VECM) techniques. This allows conditional loss estimation of a South African-specific credit portfolio but also opens the door for credit portfolio modelling on a global scale, as such a model can easily be linked to the GVAR model. The set of domestic factors are extended beyond those used in PSW (2004) in such a way that the risk driver model is applicable for both retail and corporate credit risk. As such, the model can be applied to a total bank balance sheet, incorporating the correlation and diversification between both retail and corporate credit exposures. Assuming statistical over-identification restrictions, the results indicate that it is possible to construct a South African component for the GVAR model that can easily be integrated into the global component. From a practical application perspective the framework and model is particularly appealing since it can be used as a theoretically consistent correlation model within a South African-specific credit portfolio management tool.

Keywords: Credit portfolio management; multifactor model; vector error correction model (VECM); credit correlations (search for similar items in EconPapers)
JEL-codes: C32 C51 E44 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2007-09
New Economics Papers: this item is included in nep-afr, nep-ban, nep-mac and nep-rmg
References: Add references at CitEc
Citations: Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Linking global economic dynamics to a South African-specific credit risk correlation model (2009) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pre:wpaper:200719

Access Statistics for this paper

More papers in Working Papers from University of Pretoria, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Rangan Gupta ().

 
Page updated 2021-02-22
Handle: RePEc:pre:wpaper:200719