Stress-testing euro area corporate default probabilities using a global macroeconomic model

Olli Castrén, Stephane Dees and Fadi Zaher

Journal of Financial Stability, 2010, vol. 6, issue 2, 64-78

Abstract: We analyse the behaviour of euro area corporate sector probabilities of default under a wide range of domestic and global macro-financial shocks. Using the Global Vector Autoregressive (GVAR) model and constructing a linking satellite equation for firm-level Expected Default Frequencies (EDFs) we show that, at the aggregate level, the median EDFs react most to shocks to GDP, exchange rate, oil prices and equity prices. Intuitive variations to these results occur when sector-level median EDFs are considered. The satellite-GVAR model emerges as a useful tool for linking global macro-financial scenarios with micro-level information on expected defaults.

Keywords: Global; VAR; Expected; Default; Frequencies; Corporate; sector; credit; risk; Macro-stress-testing (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (47)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finsta:v:6:y:2010:i:2:p:64-78

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