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


  • Castrén, Olli
  • Dées, Stéphane
  • Zaher, Fadi


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.

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  • Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
  • Handle: RePEc:eee:finsta:v:6:y:2010:i:2:p:64-78

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    Cited by:

    1. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016. "Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
    2. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4534-4555.
    3. Henry, Jérôme & Kok, Christoffer & Amzallag, Adrien & Baudino, Patrizia & Cabral, Inês & Grodzicki, Maciej & Gross, Marco & Halaj, Grzegorz & Kolb, Markus & Leber, Miha & Pancaro, Cosimo & Sydow, Matt, 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    4. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    5. Neil Ericsson & Erica Reisman, 2012. "Evaluating a Global Vector Autoregression for Forecasting," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 247-258, August.
    6. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Multivariate Forecasts from a Bayesian GVAR," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112999, Verein für Socialpolitik / German Economic Association.
    7. Jokivuolle, Esa & Pesola, Jarmo & Viren, Matti, 2015. "Why is credit-to-GDP a good measure for setting countercyclical capital buffers?," Journal of Financial Stability, Elsevier, vol. 18(C), pages 117-126.
    8. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    9. Filippo di Mauro & Alexander Al-Haschimi & Stephane Dees & Martina Jancokova, 2014. "Linking Distress of Financial Institutions to Macrofinancial Shocks," EcoMod2014 6807, EcoMod.
    10. Gross, Marco & Población García, Francisco Javier, 2015. "A false sense of security in applying handpicked equations for stress test purposes," Working Paper Series 1845, European Central Bank.
    11. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    12. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    13. Martín Saldías, 2011. "Sectoral credit risk in the euro area," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
    14. Bellotti, Tony & Crook, Jonathan, 2013. "Forecasting and stress testing credit card default using dynamic models," International Journal of Forecasting, Elsevier, vol. 29(4), pages 563-574.
    15. Stijn Ferrari & Patrick Van Roy & Cristina Vespro, 2011. "Stress testing credit risk: modelling issues," Financial Stability Review, National Bank of Belgium, vol. 9(1), pages 105-120, June.
    16. Jorge I Canales Kriljenko & Mehdi Hosseinkouchack & Alexis Meyer-Cirkel, 2014. "Global Financial Transmission into Sub-Saharan Africa – A Global Vector Autoregression Analysis," IMF Working Papers 14/241, International Monetary Fund.
    17. Bolt, Wilko & de Haan, Leo & Hoeberichts, Marco & van Oordt, Maarten R.C. & Swank, Job, 2012. "Bank profitability during recessions," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2552-2564.
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    19. Dovern, Jonas & van Roye, Björn, 2014. "International transmission and business-cycle effects of financial stress," Journal of Financial Stability, Elsevier, vol. 13(C), pages 1-17.
    20. Bruneau, C. & de Bandt, O. & El Amri, W., 2012. "Macroeconomic fluctuations and corporate financial fragility," Journal of Financial Stability, Elsevier, vol. 8(4), pages 219-235.
    21. Daniel Zerfu Gurara & Mthuli Ncube, 2013. "Working Paper 183 - Global Economic Spillovers to Africa- A GVAR Approach," Working Paper Series 981, African Development Bank.


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