A time-varying copula approach to oil and stock market dependence: The case of transition economies

被引:171
|
作者
Aloui, Riadh [1 ,2 ]
Hammoudeh, Shawkat [3 ]
Duc Khuong Nguyen [4 ]
机构
[1] Univ Tunis El Manor, LAREQUAD, Tunis 2092, Tunisia
[2] Univ Tunis El Manor, FSEGT, Tunis 2092, Tunisia
[3] Drexel Univ, Lebow Coll Business, Philadelphia, PA 19104 USA
[4] IPAG Business Sch, IPAG Lab, F-75006 Paris, France
关键词
Copulas; Oil prices; Stock markets; Transition economies; PRICE SHOCKS; PORTFOLIO INVESTMENT; FINANCIAL CRISIS; CANADIAN OIL; CONTAGION; RETURNS; MODEL; US; COINTEGRATION; MACROECONOMY;
D O I
10.1016/j.eneco.2013.04.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
We employ the time-varying copula approach to investigate the conditional dependence between the Brent crude oil price and stock markets in the Central and Eastern European (CEE) transition economies. Our results show evidence of a positive dependence between the oil and the stock markets of the six CEE countries. which is indicative of a contagion between those markets, regardless of the changes in the oil price or the CEE stock index. Moreover, the dependence patterns in both the center and left tails of the return distributions change over time, particularly during the heart of the financial crisis, and are best described by the Survival Gumbel copulas. The empirical evidence also suggests that the lower tail dependence is much stronger than that of the upper tail, highlighting the importance of contagion during severe contractionary business cycles. Among the sample markets. Poland is shown to be particularly sensitive in this regard, while Hungary and Slovenia are the least sensitive. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:208 / 221
页数:14
相关论文
共 50 条
  • [31] Why are there time-varying comovements in the European stock market?
    Ferreira, Eva
    Orbe, Susan
    EUROPEAN JOURNAL OF FINANCE, 2018, 24 (10): : 828 - 848
  • [32] Time-varying energy and stock market integration in Asia
    Batten, Jonathan A.
    Kinateder, Harald
    Szilagyi, Peter G.
    Wagner, Nikias F.
    ENERGY ECONOMICS, 2019, 80 : 777 - 792
  • [33] Oil price uncertainty and sectoral stock returns in China: A time-varying approach
    Caporale, Guglielmo Maria
    Ali, Faek Menla
    Spagnolo, Nicola
    CHINA ECONOMIC REVIEW, 2015, 34 : 311 - 321
  • [34] Exploring the time-varying dependence between Bitcoin and the global stock market: Evidence from a TVP-VAR approach
    Zhao, Junming
    Zhang, Tianding
    FINANCE RESEARCH LETTERS, 2023, 58
  • [35] Analysis of the Correlation between Macro-economy and Stock Market Volatility Employed by Time-varying Copula and ICA
    Sun, C. Z.
    Yang, Y. W.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT SCIENCE (ITMS 2015), 2015, 34 : 1334 - 1339
  • [36] A Time-varying Vine Copula Model for Dependence Analysis of Failure System
    Xu, Dan
    Yuan, Jinshuai
    Xing, Mengli
    2018 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC), 2018, : 437 - 442
  • [37] Oil price and Gulf Corporation Council stock indices: New evidence from time-varying copula models
    Fenech, Jean-Pierre
    Vosgha, Hamed
    ECONOMIC MODELLING, 2019, 77 : 81 - 91
  • [38] Time-varying co-movements between stock market returns and oil price shocks
    Filis, George
    INTERNATIONAL JOURNAL OF ENERGY AND STATISTICS, 2014, 2 (01) : 27 - 42
  • [39] Dynamics of Foreign Exchange Networks: A Time-Varying Copula Approach
    Wang, Gang-Jin
    Xie, Chi
    Zhang, Peng
    Han, Feng
    Chen, Shou
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, 2014
  • [40] Time-varying synchronization and dynamic conditional correlation among the stock market returns of leading South American economies
    Panda, Ajaya Kumar
    Nanda, Swagatika
    INTERNATIONAL JOURNAL OF MANAGERIAL FINANCE, 2018, 14 (02) : 245 - 262