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ZINECKER, M. BALCERZAK, A. FAŁDZIŃSKI, M. MELUZÍN, T. PIETRZAK, M.
Originální název
Application of DCC-Garch Model for Analysis of Interrelations Among Capital Markets of Poland, Czech Republic and Germany
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
macroeconomics; interdependences among capital markets; conditional variance and correlations; DCC-GARCH model
Autoři
ZINECKER, M.; BALCERZAK, A.; FAŁDZIŃSKI, M.; MELUZÍN, T.; PIETRZAK, M.
Vydáno
2. 2. 2017
Nakladatel
Slovak Society for Operations Research
Místo
Bratislava
ISBN
978-80-972328-0-1
Kniha
Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII)
Edice
Letra Interactive
Číslo edice
1
Strany od
416
Strany do
421
Strany počet
6
BibTex
@inproceedings{BUT135508, author="Marek {Zinecker} and Adam Przemyslaw {Balcerzak} and Marcin {Fałdziński} and Tomáš {Meluzín} and Michał Bernard {Pietrzak}", title="Application of DCC-Garch Model for Analysis of Interrelations Among Capital Markets of Poland, Czech Republic and Germany", booktitle="Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII)", year="2017", series="Letra Interactive", number="1", pages="416--421", publisher="Slovak Society for Operations Research", address="Bratislava", isbn="978-80-972328-0-1" }