UNIVARIATE AND BIVARIATE VOLATILITY IN CENTRAL EUROPEAN STOCK MARKETS

被引:10
|
作者
Botoc, Claudiu [1 ]
机构
[1] West Univ Timisoara, Fac Econ & Business Adm, Dept Finance, Timisoara, Romania
来源
PRAGUE ECONOMIC PAPERS | 2017年 / 26卷 / 02期
关键词
volatility; asymmetry; structural breaks; contagion; multivariate GARCH; AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY; PORTFOLIO DIVERSIFICATION; GENERALIZED ARCH; EASTERN-EUROPE; MODELS; INTEGRATION; VARIANCE;
D O I
10.18267/j.pep.598
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines if the volatility exhibits a symmetric or an asymmetric response to past shocks, particularly the relevance of structural breaks for Central European (hereinafter referred to as "CEE") stock markets. In addition, it is of great interest to see if the CEE emerging markets are correlated with other emerging ones, as well as to analyse the correlation with the developed markets, for optimizing investment portfolios. Using a CEE group approach (regional index) and daily data from 2002 to 2015, the results suggest that markets react differently to similar negative and positive returns, except for the rapid growth period, when the greed sentiment dominates the markets. Furthermore, the structural break dates affect volatility, the highest asymmetric coefficient being recorded for the pre-crisis period. For the bivariate approach, the emerging markets and developed markets indexes provided by the Morgan Stanley Capital International (hereinafter referred to as "MSCI") have been considered and the results suggest that CEE stock markets are correlated with emerging stock markets rather than developed ones. For both pairs, the correlation is consistently higher for the break dates characterized by an increase in volatility, which is in line with the literature that claims that the co-movements increase when international factors dominate the national ones, and influence stock markets.
引用
收藏
页码:127 / 141
页数:15
相关论文
共 50 条
  • [31] Volatility connectedness of GCC stock markets: how global oil price volatility drives volatility spillover in GCC stock markets?
    Muntazir Hussain
    Ramiz Ur Rehman
    Environmental Science and Pollution Research, 2023, 30 : 14212 - 14222
  • [32] TRANSMISSION OF VOLATILITY BETWEEN STOCK MARKETS
    KING, MA
    WADHWANI, S
    REVIEW OF FINANCIAL STUDIES, 1990, 3 (01): : 5 - 35
  • [33] STUCTURAL BREAKS IN VOLATILITY OF STOCK MARKETS
    Sed'a, Petr
    8TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2014, : 1326 - 1336
  • [34] Procyclical volatility in Chinese stock markets
    Deschamps, Bruno
    Fei, Tianlun
    Jiang, Ying
    Liu, Xiaoquan
    REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING, 2022, 58 (03) : 1117 - 1144
  • [35] Procyclical volatility in Chinese stock markets
    Bruno Deschamps
    Tianlun Fei
    Ying Jiang
    Xiaoquan Liu
    Review of Quantitative Finance and Accounting, 2022, 58 : 1117 - 1144
  • [36] Volatility transmission between stock markets
    Pascual, B
    FINANCIAL MODELLING, 2000, : 309 - 327
  • [37] OPTIONS MARKETS AND STOCK RETURN VOLATILITY
    SKINNER, DJ
    JOURNAL OF FINANCIAL ECONOMICS, 1989, 23 (01) : 61 - 78
  • [38] Rational Speculative Bubbles in Central European Emerging Stock Markets
    Deev, Oleg
    Kajurova, Veronika
    Stavarek, Daniel
    EASTERN EUROPEAN ECONOMICS, 2014, 52 (04) : 47 - 91
  • [39] An analysis of dependence between Central and Eastern European stock markets
    Reboredo, Juan C.
    Tiwari, Aviral Kumar
    Albulescu, Claudiu Tiberiu
    ECONOMIC SYSTEMS, 2015, 39 (03) : 474 - 490
  • [40] WAVELET NEURAL NETWORKS PREDICTION OF CENTRAL EUROPEAN STOCK MARKETS
    Vacha, Lukas
    Barunik, Jozef
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE QUANTITATIVE METHODS IN ECONOMICS (MULTIPLE CRITERIA DECISION MAKING XIV), 2008, : 291 - 297