Dependence between Croatian and European stock markets – A copula GARCH approach

The objective of this paper is to analyze dependence structure between the returns of Croatian and five European stock markets (Austrian, French, German, Italian, and the U.K.'s). We propose a copula GARCH approach, where the return series are modeled as univariate GARCH processes and the depen...

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Main Author: Silvo Dajčman
Format: Article
Language:deu
Published: Faculty of Economics University of Rijeka 2013-12-01
Series:Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
Subjects:
Online Access:https://www.efri.uniri.hr/sites/efri.uniri.hr/files/cr-collections/2/06-dajcman-2013-2.pdf
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spelling doaj-b330afb077134751bc7406033a0568582020-11-25T02:38:15ZdeuFaculty of Economics University of RijekaZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu1331-80042013-12-01312209232Dependence between Croatian and European stock markets – A copula GARCH approachSilvo Dajčman0r, University of Maribor, Faculty of Economics and Business, Maribor, SloveniaThe objective of this paper is to analyze dependence structure between the returns of Croatian and five European stock markets (Austrian, French, German, Italian, and the U.K.'s). We propose a copula GARCH approach, where the return series are modeled as univariate GARCH processes and the dependence structure between the return series is defined by a copula function. Four different copulas are fitted - a constant and conditional normal and symmetric Joe-Clayton (SJC) copulas - and estimated by a semi-parametric method. We found that the time-varying normal copula yields the best fit for CROBEX-CAC40, CROBEX-DAX, and CROBEX-FTSE-MIB stock indices pairs, while the time-varying SJC copula is the best fit for CROBEX-ATX and CROBEX-FTSE100. Further, we found that the probability of simultaneous extreme positive and negative returns in Croatian and other European stock markets can increase to 0.77 during turbulent times. The lower and upper tail dependence dynamics between Croatian and other European stock markets is similar in pattern, differing only in scale. The basic conclusion of the research is that the dependence between the stock markets of Croatia and five major European stock markets is dynamic and can be properly captured by either a dynamic normal or symmetrized Joe-Clayton copula GARCH models.https://www.efri.uniri.hr/sites/efri.uniri.hr/files/cr-collections/2/06-dajcman-2013-2.pdfstock marketdependencecopula GARCH
collection DOAJ
language deu
format Article
sources DOAJ
author Silvo Dajčman
spellingShingle Silvo Dajčman
Dependence between Croatian and European stock markets – A copula GARCH approach
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
stock market
dependence
copula GARCH
author_facet Silvo Dajčman
author_sort Silvo Dajčman
title Dependence between Croatian and European stock markets – A copula GARCH approach
title_short Dependence between Croatian and European stock markets – A copula GARCH approach
title_full Dependence between Croatian and European stock markets – A copula GARCH approach
title_fullStr Dependence between Croatian and European stock markets – A copula GARCH approach
title_full_unstemmed Dependence between Croatian and European stock markets – A copula GARCH approach
title_sort dependence between croatian and european stock markets – a copula garch approach
publisher Faculty of Economics University of Rijeka
series Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
issn 1331-8004
publishDate 2013-12-01
description The objective of this paper is to analyze dependence structure between the returns of Croatian and five European stock markets (Austrian, French, German, Italian, and the U.K.'s). We propose a copula GARCH approach, where the return series are modeled as univariate GARCH processes and the dependence structure between the return series is defined by a copula function. Four different copulas are fitted - a constant and conditional normal and symmetric Joe-Clayton (SJC) copulas - and estimated by a semi-parametric method. We found that the time-varying normal copula yields the best fit for CROBEX-CAC40, CROBEX-DAX, and CROBEX-FTSE-MIB stock indices pairs, while the time-varying SJC copula is the best fit for CROBEX-ATX and CROBEX-FTSE100. Further, we found that the probability of simultaneous extreme positive and negative returns in Croatian and other European stock markets can increase to 0.77 during turbulent times. The lower and upper tail dependence dynamics between Croatian and other European stock markets is similar in pattern, differing only in scale. The basic conclusion of the research is that the dependence between the stock markets of Croatia and five major European stock markets is dynamic and can be properly captured by either a dynamic normal or symmetrized Joe-Clayton copula GARCH models.
topic stock market
dependence
copula GARCH
url https://www.efri.uniri.hr/sites/efri.uniri.hr/files/cr-collections/2/06-dajcman-2013-2.pdf
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