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Global business cycles and credit risk
Content Provider | Library of Congress - Books/Printed Material |
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Author | Schuermann, Til Pesaran, M. Hashem |
Temporal Coverage | 2005 |
Copyright Year | 2005 |
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 macroeconomic 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. 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 heterogenous model than allowing just for industry heterogeneity. The regional model also exhibits less shock sensitivity"--National Bureau of Economic Research web site. |
Language | English |
Publisher | National Bureau of Economic Research |
Publisher Place | Cambridge, MA |
Part of Series | Catalog |
Requires | HTML5 supported browser |
Access Restriction | Open |
Subject Keyword | Business Cycles International Finance Mathematical Models Portfolio Management Risk Management |
Subject Domain (in LCSH) | Portfolio management--Mathematical models |
Subject Domain (in LCSH) | Risk management--Mathematical models |
Subject Domain (in LCSH) | Business cycles--Mathematical models |
Subject Domain (in LCSH) | International finance--Mathematical models |
Subject Domain (in LCC) | HB1 |
Content Type | Text |
Resource Type | Book |