The Dynamics of Linkages between the Polish Stock Market and Those of the Czech Republic and Hungary as Well as Major World Markets
DOI:
https://doi.org/10.18559/a10xpm60Keywords:
Spearman's rank correlation coefficient, Stock market indexes, Financial markets, Capital marketAbstract
In the paper, we analyze linkages between the Polish stock market and the Czech and Hungarian markets after the EU accession of the corresponding countries. For comparison, we examine linkages between the Polish stock market and developed markets: the European and the US market represented by the indices DAX and S&P 500, espectively. The main questions in the analysis concern the nature, dynamics and strength of the linkages. The dynamics of dependencies is modelled by means of Markov-switching copula models, and the applied measures of the strength of the linkages are dynamic Spearman's rho and tail dependence coefficients.
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References
Ang, A., Bekaert, G., 2002, International Asset Allocation with Regime Shifts, Review of Financial Studies, no. 15, s. 1137-1187.
View in Google Scholar
Bauwens, E., Laurent, S., Rombouts, J.V.K., 2006, Multivariate GARCH Models: a Survey, Journal of Applied Econometrics, no. 21, s. 79-109.
View in Google Scholar
Będowska-Sójka, B., 2010, Intraday CAC40, DAX and WIG20 Returns when the American Macro News is Announced , Bank i Kredyt, no. 41 (2), s. 7-20.
View in Google Scholar
Doman, M., Doman, R., 2009, Modelowanie zmienności i ryzyka. Metody ekonometrii finansowej, Wolters Kluwer, Kraków.
View in Google Scholar
Doman, M., Doman, R., 2010, Modelowanie zależności pomiędzy notowaniami o różnych wzorcach dni bez sesji , w: Walczak, T. (red.) Ekonometria i statystyka w procesie modelowania, Wydawnictwo Głównego Urzędu Statystycznego, Warszawa.
View in Google Scholar
Doman, M., Doman, R. , 2011, The Impact of the Exchange Rate Dynamics on the Dependencies in Global Stock Market, Dynamic Econometric Models, no. 11, s. 73-86.
View in Google Scholar
Forbes, K., Rigobon, R., 2002, No Contagion, Only Interdependence: Measuring Stock Markets Comovements , The Journal of Finance, no. 57, s. 2223-2261.
View in Google Scholar
Garcia, R., Tsafack, G., 2011, Dependence Structure and Extreme Comovements in International Equity and Bond Markets , Journal of Banking & Finance, no. 35, s. 1954-1970.
View in Google Scholar
Hamilton, J.D., 1994, Time Series Analysis Princeton University Press, Princeton.
View in Google Scholar
Konopczak, M., Sieradzki, R., Wiernicki, M., 2010, Kryzys na światowych rynkach finansowych - wpływ na rynek finansowy w Polsce oraz implikacje dla sektora realnego , Bank i Kredyt, no. 41 (6), s. 45-70.
View in Google Scholar
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.
View in Google Scholar
Longin, F., Solnik, B., 2001, Extreme Correlation of International Equity Markets , Journal of Finance, no. 56 , s. 649-676.
View in Google Scholar
McNeil, A.J., Frey, A., Embrechts, P., 2005, Quantitative Risk Management , Princeton University Press, Princeton.
View in Google Scholar
Nelsen, R.B., 2006 . An Introduction to Copulas, 2nd ed., Springer, New York.
View in Google Scholar
Patton, A.J. , 2004, On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation , Journal of Financial Econometrics, no. 2, s. 130-168.
View in Google Scholar
Patton, A.J., 2006, Modelling Asymmetric Exchange Rate Dependence , International Economic Review, no. 47, s. 527-556.
View in Google Scholar
Sklar, A., 1959, Fonctions de répartition à n dimensions et leurs marges , Publications de l'Institut Statistique de l'Université de Paris, no 8, s. 229-231.
View in Google Scholar
