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The Role of Industry, Geography and Firm Heterogeneity in Credit Risk Diversification

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  • M. Hashem Pesaran
  • Til Schuermann
  • Björn-Jakob Treutler

Abstract

In theory the potential for credit risk diversifcation for banks could be substantial. Portfolios are large enough that idiosyncratic risk is diversifed away leaving exposure to systematic risk. The potential for portfolio diversifcation is driven broadly by two characteristics: the degree to which systematic risk factors are correlated with each other and the degree of dependence individual firms have to the different types of risk factors. We propose a model for exploring these dimensions of credit risk diversifcation: across industry sectors and across di¤erent countries or regions. We find that full firm-level parameter heterogeneity matters a great deal for capturing differences in simulated credit loss distributions. Imposing homogeneity results in overly skewed and fat-tailed loss distributions. These differences become more pronounced in the presence of systematic risk factor shocks: increased parameter heterogeneity greatly reduces shock sensitivity. Allowing for regional parameter heterogeneity seems to better approximate the loss distributions generated by the fully heterogeneous model than allowing just for industry heterogeneity. The regional model also exhibits less shock sensitivity.

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File URL: http://www.usc.edu/dept/LAS/economics/IEPR/Working%20Papers/IEPR_05.25_%5BPesaran,Schuermann,Treutler%5D.pdf
File Function: First version, 2005
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Bibliographic Info

Paper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number 05.25.

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Length: 53 pages
Date of creation: May 2005
Date of revision:
Handle: RePEc:scp:wpaper:05-25

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Keywords: Risk management; default dependence; economic interlinkages; portfolio choice;

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  1. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, 09.
  2. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
  3. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
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Cited by:
  1. Kapetanios, G. & Pesaran, M.H., 2005. "Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns," Cambridge Working Papers in Economics 0520, Faculty of Economics, University of Cambridge.
  2. Masschelein, Nancy & Düllmann, Klaus, 2006. "Sector concentration in loan portfolios and economic capital," Discussion Paper Series 2: Banking and Financial Studies 2006,09, Deutsche Bundesbank, Research Centre.

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