Global Business Cycles and Credit Risk
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.Download Info
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11493.Length:
Date of creation: Jul 2005
Date of revision:
Publication status: published as M. Hashem Pesaran, Til Schuermann, Bjorn-Jakob Treutler. "Global Business Cycles and Credit Risk," in Mark Carey and René M. Stulz, editors, "The Risks of Financial Institutions" University of Chicago Press (2006)
Handle: RePEc:nbr:nberwo:11493
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Keywords:Other versions of this item:
- M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-474 National Bureau of Economic Research, Inc.
- M. Hashem Pesaran & Til Schuermann & Björn-Jakob Treutler, 2005. "Global Business Cycles and Credit Risk," CESifo Working Paper Series 1548, CESifo Group Munich.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- G20 - Financial Economics - - Financial Institutions and Services - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-07-18 (All new papers)
- NEP-FIN-2005-07-18 (Finance)
- NEP-FMK-2005-07-18 (Financial Markets)
- NEP-MAC-2005-07-18 (Macroeconomics)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
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