2019
DOI: 10.1108/ejmbe-01-2019-0007
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An analysis of CEE equity market integration and their volatility spillover effects

Abstract: Purpose The purpose of this paper is to examine the conditional correlations and spillovers of volatilities across CEE markets, namely, Hungary, Poland, the Czech Republic, Romania and Croatia, in the post-2007 financial crisis period. Design/methodology/approach The authors use five-dimensional GARCH-BEKK alongside with the CCC and DCC models. Findings The estimation results of the three models generally demonstrate that the correlations between these markets are particularly significant. Also, own-volati… Show more

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Cited by 31 publications
(20 citation statements)
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“…It relates to one of a well-known feature of financial markets, that correlations increase in bear markets (Longin and Solnik, 2002). Our results are in line with the previous studies showing that the stock markets in the CEE countries are more integrated after the crisis (Gjika and Horváth, 2013;Baumöhl, 2013;Vychytilova, 2018;Hung, 2019;Moagăr-Poladian et al, 2019). The coherencies between the markets behave differently in different quantiles and subperiods due to the fact, that negative extreme returns attract investors' attention stronger than moderate or positive ones.…”
Section: Discussion Of Resultssupporting
confidence: 92%
“…It relates to one of a well-known feature of financial markets, that correlations increase in bear markets (Longin and Solnik, 2002). Our results are in line with the previous studies showing that the stock markets in the CEE countries are more integrated after the crisis (Gjika and Horváth, 2013;Baumöhl, 2013;Vychytilova, 2018;Hung, 2019;Moagăr-Poladian et al, 2019). The coherencies between the markets behave differently in different quantiles and subperiods due to the fact, that negative extreme returns attract investors' attention stronger than moderate or positive ones.…”
Section: Discussion Of Resultssupporting
confidence: 92%
“…In a related study on conditional correlations and volatility spillovers across Central and Eastern Europe (CEE) countries, Hung (2019) showed evidence of significant correlations between the CEE markets, and that own‐volatility spillovers are generally lower than cross‐volatility spillovers for all markets. Vo and Tran (2020) reported a significant volatility spillover from the United States to ASEAN equity markets including Vietnam, Singapore, Malaysia, Thailand, Indonesia, and the Philippines.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous studies have been conducted to establish the nature of interdependence among international stock markets. This growing literature is partly attributed to financial market turbulence, which transmits shocks and volatility across regional and global markets, and partly to identify veritable sources for hedging risk and portfolio diversification (see, e.g., Abdennadher & Hellara, 2018; Amira et al, 2011; Hung, 2019; Solnik et al, 1996; Yépez, 2020). Although the majority of these studies focused on developed and emerging markets, there are also studies conducted to measure interdependence and linkages among Africa markets as well as between Africa and developed markets (see Agyei‐Ampomah, 2011; Collins & Biekpe, 2003; Panda et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…There have been several pieces of evidence in the literature (e.g. Diebold and Yılmaz, 2009; Diebold and Yılmaz, 2012; Antonakakis, 2012; Antonakakis and Gabauer, 2017; Antonakakis et al , 2018 and Hung, 2019) that establish the directional volatility relation and market connectedness among various financial assets. Hence, we model the returns-based volatility for the commodities and equity market to see the spillover and market connectedness between those assets.…”
Section: Resultsmentioning
confidence: 99%