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How many factors and shocks cause financial stress?

  • Kappler, Marcus
  • Schleer, Frauke

The aim of this paper is to assess the dimension of factors and shocks that drive financial conditions, and in particular financial stress in the euro area. A second aim is to construct summary indices on the conditions and level of stress in financial markets with the aid of a dynamic factor model. By analysing 149 newly compiled monthly time series on financial market conditions in the euro area, our results suggest that the data respond quite differently to fundamental shocks to financial markets but the dimension of these shocks is rather limited. Consequently, countries or segments of the financial sector in the euro area react fairly heterogonously to such shocks. We estimate several common factors and by means of an exploratory analysis we give them an economic interpretation. We find that the existence of a Periphery Banking Crisis factor, a Stress factor and a Yield Curve factor explains the bulk of variation in recent euro area financial sector data.

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Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 13-100.

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Date of creation: 2013
Date of revision:
Handle: RePEc:zbw:zewdip:13100
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  1. Schleer, Frauke & Semmler, Willi, 2013. "Financial sector-output dynamics in the euro area: Non-linearities reconsidered," ZEW Discussion Papers 13-068, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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  3. Domenico Giannone & Lucrezia Reichlin & David H Small, 2007. "Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases," Money Macro and Finance (MMF) Research Group Conference 2006 164, Money Macro and Finance Research Group.
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  8. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2007. "A Two-Step Estimator for Large Approximate Dynamic Factor Models Based on Kalman Filtering," CEPR Discussion Papers 6043, C.E.P.R. Discussion Papers.
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  11. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
  12. Boivin, Jean & Kiley, Michael T. & Mishkin, Frederic S., 2010. "How Has the Monetary Transmission Mechanism Evolved Over Time?," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 8, pages 369-422 Elsevier.
  13. Eickmeier, Sandra, 2007. "Business cycle transmission from the US to Germany--A structural factor approach," European Economic Review, Elsevier, vol. 51(3), pages 521-551, April.
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  15. Jörg Breitung & Uta Pigorsch, 2013. "A Canonical Correlation Approach for Selecting the Number of Dynamic Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 23-36, 02.
  16. Stefan Mittnik & Willi Semmler, 2013. "The Real Consequences of Financial Stress," SFB 649 Discussion Papers SFB649DP2013-011, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  17. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Testing the Number of Factors: An Empirical Assessment for a Forecasting Purpose," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 64-79, 02.
  18. Holló, Dániel & Kremer, Manfred & Lo Duca, Marco, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
  19. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
  20. Michiel Bijlsma & Gijsbert T. J. Zwart, 2013. "The changing landscape of financial markets in Europe, the United States and Japan," Working Papers 774, Bruegel.
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