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Stock market comovements in Central Europe: Evidence from the asymmetric DCC model

Dritan Gjika and Roman Horvath

Economic Modelling, 2013, vol. 33, issue C, 55-64

Abstract: We examine time-varying stock market comovements in Central Europe employing the asymmetric dynamic conditional correlation multivariate GARCH model. Using daily data from 2001 to 2011, we find that the correlations among stock markets in Central Europe and between Central Europe vis-à-vis the euro area are strong. The correlations increased over time, particularly after their EU entry and largely remained at these levels during the financial crisis. The stock markets exhibit asymmetry in the conditional variances and to a certain extent in the conditional correlations as well, pointing to the importance of applying a sufficiently flexible econometric framework. The conditional variances and correlations are positively related, suggesting that the diversification benefits decrease disproportionally during volatile periods.

Keywords: Stock market comovements; Central Europe; Financial crisis (search for similar items in EconPapers)
JEL-codes: G01 G15 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (86)

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Working Paper: Stock Market Comovements in Central Europe: Evidence from Asymmetric DCC Model (2012) Downloads
Working Paper: Stock Market Comovements in Central Europe: Evidence from Asymmetric DCC Model (2012) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:33:y:2013:i:c:p:55-64

DOI: 10.1016/j.econmod.2013.03.015

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