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A Regime Switching Skew-normal Model for Measuring Financial Crisis and Contagion

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  • Joshua C.C. Chan
  • Cody Yu-Ling Hsiao
  • Renée A. Fry-McKibbin

Abstract

A regime switching skew-normal model for financial crisis and contagion is proposed in which we develop a new class of multiple-channel crisis and contagion tests. Crisis channels are measured through changes in 'own' moments of the mean, variance and skewness, while contagion is through changes in the covariance and co-skewness of the joint distribution of asset returns. In this framework: i) linear and non-linear dependence is allowed; ii) transmission channels are simultaneously examined; iii) crisis and contagion are distinguished and individually modeled; iv) the market that a crisis originates is endogenous; and v) the timing of a crisis is endogenous. In an empirical application, we apply the proposed model to equity markets during the Great Recession using Bayesian model comparison techniques to assess the multiple channels of crisis and contagion. The results generally show that crisis and contagion are pervasive across Europe and the US. The second moment channels of crisis and contagion are systematically more evident than the first and third moment channels.

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Bibliographic Info

Paper provided by Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University in its series CAMA Working Papers with number 2013-15.

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Length: 69 pages
Date of creation: Mar 2013
Date of revision:
Handle: RePEc:een:camaaa:2013-15

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Keywords: Great Recession; Crisis tests; Contagion tests; Co-skewness; Regime switching skew-normal model; Gibbs sampling; Bayesian model comparison;

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  1. Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2004. "Estimation of Markov regime-switching regression models with endogenous switching," Working Papers 2003-015, Federal Reserve Bank of St. Louis.
  2. Baur, Dirk, 2003. "Testing for contagion--mean and volatility contagion," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 405-422, December.
  3. Guo, Feng & Chen, Carl R. & Huang, Ying Sophie, 2011. "Markets contagion during financial crisis: A regime-switching approach," International Review of Economics & Finance, Elsevier, vol. 20(1), pages 95-109, January.
  4. FrancisX. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, 01.
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  6. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
  7. Renée Fry & Cody Yu-Ling Hsiao & Chrismin Tang, 2011. "Actually This Time Is Different," CAMA Working Papers 2011-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  8. Favero, Carlo A. & Giavazzi, Francesco, 2002. "Is the international propagation of financial shocks non-linear?: Evidence from the ERM," Journal of International Economics, Elsevier, vol. 57(1), pages 231-246, June.
  9. Maria Kasch & Massimiliano Caporin, 2013. "Volatility Threshold Dynamic Conditional Correlations: An International Analysis," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 11(4), pages 706-742, September.
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  12. Billio, Monica & Pelizzon, Loriana, 2003. "Contagion and interdependence in stock markets: Have they been misdiagnosed?," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 405-426.
  13. Corsetti, Giancarlo & Pericoli, Marcello & Sbracia, Massimo, 2005. "'Some contagion, some interdependence': More pitfalls in tests of financial contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1177-1199, December.
  14. Gravelle, Toni & Kichian, Maral & Morley, James, 2006. "Detecting shift-contagion in currency and bond markets," Journal of International Economics, Elsevier, vol. 68(2), pages 409-423, March.
  15. Sebastian Edwards, 1998. "Interest Rate Volatily, Contagion and Convergence: And Empirical Investigation of the Cases of Argentina, Chile and México," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 55-86, November.
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