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Dependence patterns across financial markets: a mixed copula approach

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  • Ling Hu
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    Abstract

    This paper studies the modelling and estimation of dependence across international financial markets, with a focus on the structure of dependence. A new approach is proposed based on a mixed copula model and the model is constructed so that it can capture various patterns of dependence structures. The marginal distribution of asset returns in each market is estimated non-parametrically and a quasi-ML method is used to estimate the mixed copula. The methodology is applied to estimate the dependence across several international stock markets. The empirical findings are shown to have some implications that are important for a wide range of multivariate studies in Economics and Finance.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100500426515
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    Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

    Volume (Year): 16 (2006)
    Issue (Month): 10 ()
    Pages: 717-729

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    Handle: RePEc:taf:apfiec:v:16:y:2006:i:10:p:717-729
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    1. Allan Drazen, 1999. "Political Contagion in Currency Crises," NBER Working Papers 7211, National Bureau of Economic Research, Inc.
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    5. Franklin Allen & Douglas Gale, 1998. "Financial Contagion Journal of Political Economy," Center for Financial Institutions Working Papers 98-31, Wharton School Center for Financial Institutions, University of Pennsylvania.
    6. Tilak Abeysinghe & Kristin Forbes, 2005. "Trade Linkages and Output-Multiplier Effects: a Structural VAR Approach with a Focus on Asia," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 356-375, 05.
    7. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-33, July.
    8. Forbes, Kristin J. & Abeysinghe, Tilak, 2002. "Trade Linkages and Output-Multiplier Effects: A Structural VAR," Working papers 4242-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    9. Bouye, Eric & Durlleman, Valdo & Nikeghbali, Ashkan & Riboulet, Gaël & Roncalli, Thierry, 2000. "Copulas for finance," MPRA Paper 37359, University Library of Munich, Germany.
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