How Does the Financial Crisis Affect Volatility Behavior and Transmission Among European Stock Markets?

被引:13
|
作者
Ben Slimane, Faten [1 ]
Mehanaoui, Mohamed [2 ,3 ]
Kazi, Irfan Akbar [3 ,4 ]
机构
[1] Univ Paris Est Marne Vallee, IRG Inst, 5 Blvd, F-77454 Descartes Champus Sur Ma, France
[2] France Business Sch, Dept Finance, F-80038 Amiens, France
[3] Univ Paris West Nanterre Defense, EconomiX, F-92001 Nanterre, France
[4] IPAG Business Sch, IPAG Lab, F-75006 Paris, France
来源
关键词
stock market behavior; volatility spillover; financial crisis; high frequency data;
D O I
10.3390/ijfs1030081
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The spread of the global financial crisis of 2008/2009 was rapid, and impacted the functioning and the performance of financial markets. Due to the importance of this phenomenon, this study aims to explain the impact of the crisis on stock market behavior and interdependence through the study of the intraday volatility transmission. This paper investigates the patterns of linkage dynamics among three European stock markets-France, Germany, and the UK-during the global financial crisis, by analyzing the intraday dynamics of linkages among these markets during both calm and turmoil phases. We apply a VAR-EGARCH (Vector Autoregressive Exponential General Autoregressive Conditional Heteroscedasticity) framework to high frequency five-minute intraday returns on selected representative stock indices. We find evidence that interrelationship among European markets increased substantially during the period of crisis, pointing to an amplification of spillovers. In addition, during this period, French and UK markets herded around German market, possibly explained by behavior factors influencing the stock markets on or near dates of extreme events. Germany was identified as the hub of financial and economic activity in Europe during the period of study. These findings have important implications for both policymakers and investors by contributing to better understanding the transmission of financial shocks in Europe.
引用
收藏
页码:81 / 101
页数:21
相关论文
共 50 条
  • [1] Volatility in Asian stock markets and global financial crisis
    Singhania, Monica
    Anchalia, Jugal
    JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2013, 10 (03) : 333 - 351
  • [2] Contagion among Central and Eastern European Stock Markets during the Financial Crisis
    Barunik, Jozef
    Vacha, Lukas
    FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE, 2013, 63 (05): : 443 - 453
  • [3] How international financial flows affect stock markets?
    Chuang, Hongwei
    Karamatov, Navruzbek
    APPLIED ECONOMICS LETTERS, 2018, 25 (21) : 1535 - 1546
  • [4] Intraday bidirectional volatility spillover across international stock markets: does the global financial crisis matter?
    Jawadi, Fredj
    Louhichi, Wael
    Cheffou, Abdoulkarim Idi
    APPLIED ECONOMICS, 2015, 47 (34-35) : 3633 - 3650
  • [5] The study of herding behavior among the Greater China Stock Markets during Financial Crisis
    Teng, Yin-Pei
    Liu, Y. Angela
    JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2014, 17 (02) : 163 - 197
  • [6] COMPARISON OF VOLATILITY ON AMERICAN AND CHINESE STOCK MARKETS DURING THE GLOBAL FINANCIAL CRISIS
    Vek, Uros
    Jagric, Timotej
    Markovic Hribernik, Tanja
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2012, 46 (04): : 261 - 283
  • [7] Markov-switching multifractal volatility spillovers among European stock markets during crisis periods
    Tiwari, Aviral Kumar
    Abakah, Emmanuel Joel Aikins
    Dwumfour, Richard Adjei
    Lee, Chi-Chuan
    APPLIED ECONOMICS, 2024,
  • [8] Empirical study on dynamic transmission of volatility among financial markets
    Jie, Dong
    Heping, Pan
    Yiyong, Yao
    Ying, Luo
    Xu, Yang
    Journal of Convergence Information Technology, 2012, 7 (21) : 323 - 332
  • [9] TRANSMISSION OF VOLATILITY BETWEEN STOCK MARKETS
    KING, MA
    WADHWANI, S
    REVIEW OF FINANCIAL STUDIES, 1990, 3 (01): : 5 - 35
  • [10] Volatility transmission between stock markets
    Pascual, B
    FINANCIAL MODELLING, 2000, : 309 - 327