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Global macro-financial shocks and expected default frequencies in the euro area

Author

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

Abstract

Modelling the link between the global macro-financial factors and firms’ default probabilities constitutes an elementary part of financial sector stress-testing frameworks. Using the Global Vector Autoregressive(GVAR) model and constructing a linking satellite equation for the firm-level Expected Default Frequencies (EDFs), we show how to analyse the euro area corporate sector probability of default under a wide range of domestic and foreign macroeconomic shocks. The results show that, at the euro area aggregate level, the median EDFs react most to shocks to the GDP, exchange rate, oil prices and equity prices. There are some intuitive variations to these results when sector-level EDFs are considered. Overall, the Satellite-GVAR model appears to be a useful tool for analysing plausible global macrofinancial shock scenarios designed for financial sector stress-testing purposes. JEL Classification: C33, F47, G32, G33

Suggested Citation

  • Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2008. "Global macro-financial shocks and expected default frequencies in the euro area," Working Paper Series 875, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2008875
    Note: 2544114
    as

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    Cited by:

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    2. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    3. Robert Kelly & Eoin Brien & Rebecca Stuart, 2015. "A long-run survival analysis of corporate liquidations in Ireland," Small Business Economics, Springer, vol. 44(3), pages 671-683, March.
    4. Nguenang, Christian & Kamgna, Sévérin yves & Tinang, Nzeusseu Jules, 2010. "Une approche Macroprudentielle du risque systémique en zone CEMAC [A Macro-prudential approach of systemic risk in CEMAC zone]," MPRA Paper 25632, University Library of Munich, Germany.
    5. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    6. Castrén, Olli & Fitzpatrick, Trevor & Sydow, Matthias, 2009. "Assessing portfolio credit risk changes in a sample of EU large and complex banking groups in reaction to macroeconomic shocks," Working Paper Series 1002, European Central Bank.
    7. repec:dau:papers:123456789/10353 is not listed on IDEAS
    8. Kovacs Ildiko & Karsai Zoltan-Krisztian & Suveg Orsolya & Joita Nicoleta, 2011. "The Relationship Between Macroeconomic Variables And Romanian Corporate Default Rates Between 2002-2008," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 206-213, July.
    9. Bermingham, Colin & Conefrey, Thomas, 2014. "The Irish macroeconomic response to an external shock with an application to stress testing," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 454-470.
    10. Ismail Tijjani Idris & Sabri Nayan, 2016. "The Moderating Role of Loan Monitoring on the Relationship between Macroeconomic Variables and Non-performing Loans in Association of Southeast Asian Nations Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 402-408.
    11. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    12. Tao Sun, 2011. "Identifying Vulnerabilities in Systemically-Important Financial Institutions in a Macro-Financial Linkages Framework," IMF Working Papers 2011/111, International Monetary Fund.

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    More about this item

    Keywords

    corporate default probability; credit risk; global VAR; macro stress testing.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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