The Impact of the Exchange Rate Dynamics on the Dependencies in Global Stock Market
DOI:
https://doi.org/10.12775/DEM.2011.005Keywords
stock market, stock index, linkages, denomination, exchange rate, copulaAbstract
The paper addresses the question of how the exchange rate dynamics affects the analysis of linkages between national stock markets. We consider two ways of tackling the problem. The first one consists in denominating the analyzed quotations in the same currency. The second deals with a direct introducing the exchange rate into a model. Our analysis is based on
the daily return series on selected stock indices from the period 1995-2010. We model the dependence structure using dynamic copulas. This allows us to separate the dynamics of dependence from the volatility dynamics.
References
Ang, A., Bekaert, G. (2002), International Asset Allocation with Regime Shifts, Review of Financial Studies, 15, 1137–1187.
Ang, A., Chen, J. (2002), Asymmetric Correlations of Equity Portfolios, Journal of Financial Economics, 63, 443–494.
Chen, S., Poon, S.-H. (2007), Modelling International Stock Market Contagion Using Copula and Risk Appetite, MBS Working Paper Series, SSRN: http://ssrn.com/abstract=1024288 .
Engle, R. F. (2002), Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models, Journal of Business and Economic Statistics, 20, 339–350.
Eun, C. S., Shim, S. (1989), International Transmission of Stock Market Movements, Journal of Financial and Quantitative Analysis, 24, 241–256.
Embrechts, P., McNeil, A., Straumann, D. (2002), Correlation and Dependence in Risk Management: Properties and Pitfalls. In: Dempster M. (Ed.), Risk Management: Value at Risk and Beyond, Cambridge University Press, Cambridge, 176–223.
Hansen, P. R., Lunde, A., Nason, J. M. (2003), Choosing the Best Volatility Models: The Model Confidence Set Approach, Oxford Bulletin of Economics and Statistics, 65, 839–861.
Hansen, P. R., Lunde, A. (2010), MulCom 2.00, An Oxtm Software Package for Multiple Comparisons, http://mit.econ.au.dk/vip_htm/alunde/MULCOM/MULCOM.HTM
Hansen, P. R., Lunde, A., Nason, J. M. (2011), The Model Confidence Set, Econometrica, 79, 453–497.
Joe, H., Xu, J. J. (1996), The Estimation Method of Inference Functions for Margins for Multivariate Models, Technical Report no. 166, Department of Statistics, University of British Columbia.
Karolyi, G. A., Stulz, R. M. (1996), Why Do Markets Move Together? An Investigation of U.S.– Japan Stock Market Comovements, Journal of Finance, 51, 951–986.
Koutmos, G. (1992), Asymmetric Volatility and Risk Return Tradeoff in Foreign Stock Markets, Journal of Multinational Financial Management, 2, 27–43.
Laurent, S. (2009), Estimating and Forecasting ARCH Models Using G@RCHTM6, Timberlake Consultants Ltd, London.
Lambert, P., Laurent, S. (2001), Modelling Financial Time Series Using GARCH-type Models with a Skewed Student Distribution for the Innovations, Institut de Statistique, Université Catholique de Louvain, Discussion Paper 0125.
Lee, B., Rui, O. M., Wang, S. S. (2001), Information Transmission Between NASDAQ and Asian Second Board Market, Journal of Banking & Finance, 28, 1637–1670.
McNeil, A. J., Frey, A., Embrechts, P. (2005), Quantitative Risk Management, Princeton University Press, Princeton.
Nelsen, R. B. (2006), An Introduction to Copulas, Springer Science+Business Media, Inc., New York.
Patton, A. J. (2004), On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation, Journal of Financial Econometrics, 2, 130–168.
Patton, A. J. (2006), Modelling Asymmetric Exchange Rate Dependence, International Economic Review, 47, 527–556.
Patton, A. J. (2009), Copula-Based Models for Financial Time Series. In: Andersen T. G., Davies R. A., Kreiss J. P., Mikosch T. (Eds.), Handbook of Financial Time Series, Springer, Berlin, 767–785.
Rodriguez, J. C. (2007), Measuring Financial Contagion: A Copula Approach, Journal of Empirical Finance, 14, 401–423.
Sklar, A. (1959), Fonctions de répartition à n dimensions et leurs marges, Publications de l’Institut Statistique de l’Université de Paris, 8, 229–231.
Theodossiou, P., Lee, U. (1993), Mean and Volatility Spillovers across Major National Stock Markets: Further Empirical Evidence, Journal of Financial Research, 16, 327–350.
Wong, W.-K, Penm, J., Terrel, R. D., Lim, K. (2004), The Relationship Between Stock Markets of Major Developed Countries and Asian Emerging Markets, Journal of Applied Mathematics and Decision Sciences, 8, 201–218.
Veiga, B., McAleer, M. (2004), Testing the Sensitivity of Spillover Effects across Financial Markets. In: Pahl-Wostl, C., Schmidt, S., Rizzoli, A. E., Jakeman, A. J. (Eds.), Complexity and Integrated Resources Management: Transactions of the International Conference on Environmental Modelling and Software, Osnabrueck, Germany, iEMSs, Manno, Switzerland, 1523–1529.
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