Hu, Jian (2008): Dependence Structures in Chinese and U.S. Financial Markets -- A Time-varying Conditional Copula Approach.
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In this paper, we use a Time-Varying Conditional Copula approach (TVCC) to model Chinese and U.S. stock markets‚ dependence structures with other financial markets. The AR-GARCH-t model is used to examine the marginals, while Normal and Generalized Joe-Clayton copula models are employed to analyze the joint distributions. In this pairwise analysis, both constant and time-varying conditional dependence parameters are estimated by a two-step maximum likelihood method. A comparative analysis of dependence structures in Chinese versus U.S. stock markets is also provided. There are three main findings: First, the time-varying-dependence model does not always perform better than constant-dependence model. This result has not previously been reported in the literature. Second, although previous research extensively reports that the lower tail dependence between stock markets tends to be higher than the upper tail dependence, we find a counterexample where the upper tail dependence is much higher than the lower tail dependence in some short periods. Last, Chinese financial market is relatively separate from other international financial markets in contrast to the U.S. market. The tail dependence with other financial markets is much lower in China than in the U.S.
|Item Type:||MPRA Paper|
|Original Title:||Dependence Structures in Chinese and U.S. Financial Markets -- A Time-varying Conditional Copula Approach|
|English Title:||Dependence Structures in Chinese and U.S. Financial Markets -- A Time-varying Conditional Copula Approach|
|Keywords:||AR-GARCH-t model; Time-varying conditional copula; Dependence structure; Stock market|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets
F - International Economics > F3 - International Finance > F36 - Financial Aspects of Economic Integration
P - Economic Systems > P5 - Comparative Economic Systems > P52 - Comparative Studies of Particular Economies
|Depositing User:||Jian Hu|
|Date Deposited:||08. Nov 2008 15:42|
|Last Modified:||16. Feb 2013 13:30|
 "Air Distances between World Cities in Statute Miles," www.infoplease.com, Re- trieved on 10/21/2008 at http://www.infoplease.com/ipa/A0759496.html.
 Ang, A. and Chen, J. (2002), "Asymmetric correlations of equity portfolios", Journal of Financial Economics 63(3), 443-94.
 Bartram, S. M. and Dufey, G. (2001). �International portfolio investment: theory, evidence, and institutional framework,�Financial Markets, Institutions and Instru- ments 10 (3), 85-155
 Bollerslev, T. (1987), "A conditional heteroskedastic time series model for speculative prices and rates of return", Review of Economics and Statistics 69, 542-547.
 Bollerslev, T. (1990), "Modelling the coherence in short-run nominal exchange rates: A multivariate generalized arch model", Review of Economics and Statistics 72(3), 498-505.
 Fisher, R. A. (1932), Statistical Methods for Research Workers (Edinburgh: Oliver and Boyd).
 Flavin, T., Hurley, M. and Rousseau, F., (2002) "Explaining stock market correla- tion: A gravity model approach," The Manchester School 70, 87-106.
 Hu, L. (2006), "Dependence patterns across �nancial markets: a mixed copula ap- proach", Applied Financial Economics 16, 717-729
 Huang, J., Ates, A., and Brahmasrene, T. (2006), "Measuring emerging stock mar- ket correlations utilizing the gravity model," (2006), Journal of Economics and Eco- nomic Education Research September 1, 2006.
 Isard, W. (1954), "Location theory and trade theory: short-run analysis". Quarterly Journal of Economics 68, 305- 322.
 Joe, H. (1997), Multivariate models and dependence concepts. London: Chapman & Hall.
 Joe, H., Xu, J.J., (1996). "The estimation method of inference functions for margins for multivariate models," Technical Report 166, Department of Statistics, University of British Columbia.
 Jondeau, E. and Rockinger, M. (2006), "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance 25 827-853.
 Kim, Y. (2005). "Dependence structure in international �nancial markets: evidence from Asian stock markets," UCSD Working paper
 Longin, F. and Solnik, B. (1995), "Is the correlation in international equity returns constant:1960-1990?", Journal of International Money and Finance 14(1), 3-26.
 Longin, F., Solnik, B., (2001), "Extreme correlation of international equity markets," Journal of Finance 56 (2), 649-676.
 Nelsen, R. B. (2006), An Introduction to Copulas. 2nd edition. New York: Springer.
 Okimoto, T. (2007), "New evidence of asymmetric dependence structures in interna- tional equity markets", Journal of Financial and Quantitative Analysis, forthcoming.
 Rodriguez, J. (2007), "Measuring �nancial contagion: A copula approach", Journal of Empirical Finance 14, 401-423.
 Rosenblatt, M. (1952), "Remarks on a multivariate transformation," The Annals of Mathematical Statistics 23 470-72.
 Patton, A. J., (2002), "Applications of copula theory in �nancial econometrics," Unpublished Ph.D. dissertation, University of California, San Diego.
 Patton, A.J., (2006a), "Modelling asymmetric exchange rate dependence", Interna- tional Economics Review 47 (2), 527-556
 Patton, A.J., (2006b), "Estimation of copula models for time series of possibly dif- ferent lengths," Journal of Applied Econometrics 21 (2), 147-173.
 Schweizer and Wol¤ (1981), "On nonparametric measures of dependence for random variables," Annuals of Statistics, 9, 879-885.
 Shih, J.H., Louis, T.A., (1995). "Inferences on the association parameter in copula models for bivariate survival data," Biometrics 51, 1384-1399.
 Sklar, A. (1959), �Fonctions de repartition �a n dimensions et leurs marges,�Publi- cations de l�Institut Statistique de l�Universite de Paris 8 , 229-31.
 "World Economic Outlook Database (October 2008)," In- ternational Monetary Fund, Retrieved on 10/26/2008 at http://www.imf.org/external/pubs/ft/weo/2008/02/index.htm.