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Part of book or chapter of book . 2016
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EconStor
Research . 2016
License: CC BY
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Application of DCC-GARCH Model for Analysis of Interrelations Among Capital Markets of Poland, Czech Republic and Germany

Authors: Zineker, Marek; Balcerzak, Adam P.; Fałdziński, Marcin; Meluzín, Tomáš; Pietrzak, Michał Bernard;

Application of DCC-GARCH Model for Analysis of Interrelations Among Capital Markets of Poland, Czech Republic and Germany

Abstract

The phenomenon of growing capital market linkages is a significant exogenous factor affecting the effectiveness of national economic policies and risk management processes in enterprises. As a result the identification of interdependencies among capital markets is important both from the macro and microeconomic perspective. In this context the main aim of this article is to examine the relations among capital markets of Poland, Czech Republic and Germany. In the research DCC-GARCH model with the t-student conditional distribution was applied. The analysis was conducted for the years 1997-2015. The research findings confirmed significant interdependencies among analysed capital markets, which were evaluated here by conditional correlations.

Country
Poland
Related Organizations
Keywords

DCC-GARCH model, 330, ddc:330, G15, interdependences among capital markets, C58, conditional variance and correlations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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