The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time-Frequency Domain Approach

被引:12
|
作者
Bagheri, Ehsan [1 ]
Ebrahimi, Seyed Babak [2 ]
Mohammadi, Arman [1 ]
Miri, Mahsa [3 ]
Bekiros, Stelios [4 ]
机构
[1] KN Toosi Univ Technol, Financial Engn Grp, Fac Ind Engn, Tehran 158754416, Iran
[2] KN Toosi Univ Technol, Fac Ind Engn, Pardis St Molasadra Ave,Vanak Sq, Tehran 193951999, Iran
[3] Islamic Azad Univ, Dept Accounting, North Tehran Branch, Tehran, Iran
[4] European Univ Inst, Dept Econ, Via Fontanelle 18, I-50014 Florence, Italy
关键词
Frequency connectedness; Financial markets; Energy futures markets; Financial econometrics; CRUDE-OIL PRICES; EQUITY MARKETS; SYSTEMIC RISK; SPILLOVER; SELECTION;
D O I
10.1007/s10614-021-10120-x
中图分类号
F [经济];
学科分类号
02 ;
摘要
We consider directional volatility connectedness among energy markets and financial markets over time and frequencies simultaneously during the period 2007-2018. We utilize and expand Barunik and Krehlik (J Financ Econom 16:271-296, 2018) connectedness measurements using HVAR in order to achieve a better perspective of energy markets. Our results indicate that during a crisis, the connectedness among markets increases dramatically. Furthermore, our findings support that markets are mostly driven by short-term factors and are highly speculative. Among energy markets, Natural Gas Futures contribute the least to other markets in all time frames. Besides, London Gas Oil Futures and Heating Oil Futures collaborate. Currencies and Natural Gas Futures are suitable choices for portfolio managers to hedge their risks especially in the long run. The findings of this article can offer new insights to policymakers about the mechanism of connectedness among different markets and international investors.
引用
收藏
页码:1087 / 1111
页数:25
相关论文
共 50 条
  • [1] The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach
    Ehsan Bagheri
    Seyed Babak Ebrahimi
    Arman Mohammadi
    Mahsa Miri
    Stelios Bekiros
    [J]. Computational Economics, 2022, 59 : 1087 - 1111
  • [2] Global energy markets connectedness: evidence from time-frequency domain
    Rehman, Mobeen Ur
    Naeem, Muhammad Abubakr
    Ahmad, Nasir
    Xuan Vinh Vo
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (12) : 34319 - 34337
  • [3] Global energy markets connectedness: evidence from time–frequency domain
    Mobeen Ur Rehman
    Muhammad Abubakr Naeem
    Nasir Ahmad
    Xuan Vinh Vo
    [J]. Environmental Science and Pollution Research, 2023, 30 : 34319 - 34337
  • [4] Dynamic return connectedness across global commodity futures markets: Evidence from time and frequency domains
    Wang, Yilin
    Zhang, Zeming
    Li, Xiafei
    Chen, Xiaodan
    Wei, Yu
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 542
  • [5] Global uncertainties and Australian financial markets: Quantile time-frequency connectedness
    Sheikh, Umaid A.
    Asadi, Mehrad
    Roubaud, David
    Hammoudeh, Shawkat
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 92
  • [6] Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis
    Wan, Jieru
    Yin, Libo
    Wu, You
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 89 : 397 - 428
  • [7] Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets
    Toyoshima, Yuki
    Hamori, Shigeyuki
    [J]. ENERGIES, 2018, 11 (11)
  • [8] Time-frequency volatility transmission among energy commodities and financial markets during the COVID-19 pandemic: A Novel TVP-VAR frequency connectedness approach
    Huang, Jionghao
    Chen, Baifan
    Xu, Yushi
    Xia, Xiaohua
    [J]. FINANCE RESEARCH LETTERS, 2023, 53
  • [9] Time-frequency information transmission among financial markets: evidence from implied volatility
    Muhammad Abubakr Naeem
    Fiza Qureshi
    Saqib Farid
    Aviral Kumar Tiwari
    Mohamed Elheddad
    [J]. Annals of Operations Research, 2024, 334 : 701 - 729
  • [10] Time-frequency information transmission among financial markets: evidence from implied volatility
    Naeem, Muhammad Abubakr
    Qureshi, Fiza
    Farid, Saqib
    Tiwari, Aviral Kumar
    Elheddad, Mohamed
    [J]. ANNALS OF OPERATIONS RESEARCH, 2024, 334 (1-3) : 701 - 729