Advanced Search
MyIDEAS: Login

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

Contents:

Author Info

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

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sciencedirect.com/science/article/B7CRR-4XJP40Y-1/2/c6cefd9bcb6bbfdebd28b6d55259708d
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Elsevier in its journal Journal of Financial Stability.

Volume (Year): 6 (2010)
Issue (Month): 2 (June)
Pages: 64-78

as in new window
Handle: RePEc:eee:finsta:v:6:y:2010:i:2:p:64-78

Contact details of provider:
Web page: http://www.elsevier.com/locate/jfstabil

Related research

Keywords: Global VAR Expected Default Frequencies Corporate sector credit risk Macro-stress-testing;

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Jacobson, Tor & Lindé, Jesper & Roszbach, Kasper, 2005. "Exploring Interactions between Real Activity and the Financial Stance," Working Paper Series 184, Sveriges Riksbank (Central Bank of Sweden).
  2. Forbes, Kristin & Chinn, Menzie, 2003. "A Decomposition of Global Linkages in Financial Markets over Time," Santa Cruz Center for International Economics, Working Paper Series qt6z74b3x7, Center for International Economics, UC Santa Cruz.
  3. Jarrow, Robert A & Turnbull, Stuart M, 1995. " Pricing Derivatives on Financial Securities Subject to Credit Risk," Journal of Finance, American Finance Association, vol. 50(1), pages 53-85, March.
  4. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
  5. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
  6. Imbs, Jean, 2003. "Trade, Finance, Specialization and Synchronization," CEPR Discussion Papers 3779, C.E.P.R. Discussion Papers.
  7. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
  8. Stephane Dees & Sean Holly & M. Hashem Pesaran & L. Vanessa Smith, 2007. "Long Run Macroeconomic Relations in the Global Economy," CESifo Working Paper Series 1904, CESifo Group Munich.
  9. Saikkonen, Pentti & Lutkepohl, Helmut, 2000. "Testing for the Cointegrating Rank of a VAR Process with Structural Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 451-64, October.
  10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  11. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
  12. Ivan Alves, 2005. "Sectoral fragility: factors and dynamics," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 450-80 Bank for International Settlements.
  13. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
  14. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1997. "Structural Analysis of Vector Error Correction Models with Exogenous I(1) Variables," Cambridge Working Papers in Economics 9706, Faculty of Economics, University of Cambridge.
  15. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute for the Study of Labor (IZA).
  16. M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2002. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Center for Financial Institutions Working Papers 01-38, Wharton School Center for Financial Institutions, University of Pennsylvania.
  17. Bun, Maurice J.G. & Carree, Martin A., 2005. "Bias-Corrected Estimation in Dynamic Panel Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 200-210, April.
  18. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
  19. Oriol Aspachs & Charles A.E. Goodhart & Dimitrios P. Tsomocos & Lea Zicchino, 2006. "Towards a Measure of Financial Fragility," OFRC Working Papers Series 2006fe04, Oxford Financial Research Centre.
  20. Merton, Robert C., 1973. "On the pricing of corporate debt: the risk structure of interest rates," Working papers 684-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  21. Koetter, Michael & Kick, Thomas, 2007. "Slippery slopes of stress: ordered failure events in German banking," Discussion Paper Series 2: Banking and Financial Studies 2007,03, Deutsche Bundesbank, Research Centre.
  22. Baxter, Marianne & Kouparitsas, Michael A., 2005. "Determinants of business cycle comovement: a robust analysis," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 113-157, January.
  23. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  24. Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 481-523.
  25. Clive, W.J. & Lin, Jin-Lung, 1995. "Causality in the Long Run," Econometric Theory, Cambridge University Press, vol. 11(03), pages 530-536, June.
  26. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  27. Mantalos, Panagiotis & Shukur, Ghazi, 1998. "Size and Power of the Error Correction Model Cointegration Test. A Bootstrap Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 249-55, May.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Chudik, Alexander & Pesaran, M. Hashem, 2014. "Theory and practice of GVAR modeling," Globalization and Monetary Policy Institute Working Paper 180, Federal Reserve Bank of Dallas.
  2. Francisco Vazquez & Benjamin M. Tabak & Marcos Souto, 2010. "A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector," Working Papers Series 226, Central Bank of Brazil, Research Department.
  3. Neil R. Ericsson & Erica L. Reisman, 2012. "Evaluating a global vector autoregression for forecasting," International Finance Discussion Papers 1056, Board of Governors of the Federal Reserve System (U.S.).
  4. Martín Saldías, 2011. "Sectoral credit risk in the euro area," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  5. 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.
  6. 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.
  7. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Working Paper Series 1574, European Central Bank.
  8. 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.
  9. Daniel Zerfu Gurara & Mthuli Ncube, 2013. "Working Paper 183 - Global Economic Spillovers to Africa- A GVAR Approach," Working Paper Series 981, African Development Bank.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:finsta:v:6:y:2010:i:2:p:64-78. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.