Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/19012 
Year of Publication: 
2005
Series/Report no.: 
CESifo Working Paper No. 1548
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Abstract: 
The potential for portfolio diversification 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. Using a global vector autoregressive macroeconometric model accounting for about 80% of world output, we propose a model for exploring credit risk diversification across industry sectors and across different countries or regions. We find that full firm-level parameter heterogeneity along with credit rating information 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 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.
Subjects: 
risk management
default dependence
economic interlinkages
portfolio choice
JEL: 
C32
G20
E17
Document Type: 
Working Paper
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