Stock Market Integration: DCC MV-GARCH Model
AbstractIn this paper we analyze the dynamic conditional correlations between CEE stock markets (also known as countries from Vysehrad Group - V4) and developed European stock markets, with German DAX utilized as a benchmark. Our methodology is based on the DCC MV-GARCH approach. It is shown that the dynamic conditional correlations exhibit statistically significant growth after the integration of CEE countries to European Union, i.e. after the May 2004. The only index not exhibiting this trend is the Slovak SAX index.
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Bibliographic InfoArticle provided by University of Economics, Prague in its journal Politická ekonomie.
Volume (Year): 2010 (2010)
Issue (Month): 4 ()
Postal: Redakce Politické ekonomie, Vysoká škola ekonomická, nám. W. Churchilla 4, 130 67 Praha 3
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G01 - Financial Economics - - General - - - Financial Crises
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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