Who are the receivers and transmitters of volatility spillovers: oil, clean energy, and green and non-green cryptocurrency markets

被引:0
|
作者
En Zhou
Xinyu Wang
机构
[1] China University of Mining and Technology,School of Economics and Management
关键词
Cryptocurrencies; Clean energy; Volatility connectedness; Quantile vector autoregression; Quantile time-frequency connectedness; Tail-dependent;
D O I
暂无
中图分类号
学科分类号
摘要
In the context of clean energy and green cryptocurrency development, the relationship between energy and cryptocurrency markets deserves further exploration. This study employs a quantile time-frequency connectedness approach to measure the dynamic connectedness and volatility propagation mechanisms between oil, clean energy, green cryptocurrency (GC), and non-green cryptocurrency (NGC) markets. Our findings suggest that, at median and low volatility levels, the oil and clean energy markets act as net receivers, taking on volatility spillovers from cryptocurrency markets. However, at high volatility levels, oil and clean energy markets transform into net transmitters. Most NGCs are volatility transmitters, while most GCs are volatility receivers in the median and extremely high volatility cases. We also observe that the total connectedness index (TCI) is heterogeneous over time and dependent on economic events. At median and low volatility levels, the short-run TCI makes the primary contribution. On the other hand, for high volatility levels, where short-term TCI does not have an absolute advantage, long-term TCI plays a greater role in many periods. Additionally, there is asymmetry in the TCI (including long-term and short-term TCI) at the quantile level. In the median and extreme scenarios, the COVID-19 has caused different levels of shock on oil, clean energy, GC, and NGC markets connectedness.
引用
收藏
页码:5735 / 5761
页数:26
相关论文
共 50 条
  • [1] Who are the receivers and transmitters of volatility spillovers: oil, clean energy, and green and non-green cryptocurrency markets
    Zhou, En
    Wang, Xinyu
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (04) : 5735 - 5761
  • [2] Connectivity between the volatility of green and non-green bond markets with international markets
    Galvez-Gamboa, Francisco
    Munoz-Henriquez, Erik
    -Davila, Elmer Sanchez
    [J]. ESTUDIOS GERENCIALES, 2024, 40 (170) : 2 - 12
  • [3] Dependence and risk spillovers between green bonds and clean energy markets
    Liu, Nana
    Liu, Chuanzhe
    Da, Bowen
    Zhang, Tong
    Guan, Fangyuan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 279
  • [4] Volatility Spillovers between Equity and Green Bond Markets
    Park, Daehyeon
    Park, Jiyeon
    Ryu, Doojin
    [J]. SUSTAINABILITY, 2020, 12 (09)
  • [5] Return and volatility spillovers among oil price shocks and international green bond markets
    Umar, Zaghum
    Hadhri, Sinda
    Abakah, Emmanuel Joel Aikins
    Usman, Muhammad
    Umar, Muhammad
    [J]. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2024, 69
  • [6] Volatility spillovers and frequency dependence between oil price shocks and green stock markets
    Hanif, Waqas
    Teplova, Tamara
    Rodina, Victoria
    Alomari, Mohammed
    Mensi, Walid
    [J]. RESOURCES POLICY, 2023, 85
  • [7] Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets
    Wu, Ruirui
    Qin, Zhongfeng
    [J]. ENERGY, 2024, 292
  • [8] Interdependence of clean energy and green markets with cryptocurrencies
    Arfaoui, Nadia
    Naeem, Muhammad Abubakr
    Boubaker, Sabri
    Mirza, Nawazish
    Karim, Sitara
    [J]. ENERGY ECONOMICS, 2023, 120
  • [9] Interdependence of clean energy and green markets with cryptocurrencies
    ESCT-Business School of Tunis, University of Manouba, Manouba, Tunisia
    不详
    不详
    不详
    不详
    不详
    不详
    [J]. Energy Econ.,
  • [10] Volatility Spillovers in Emerging Markets: Oil Shocks, Energy, Stocks, and Gold
    Alzate-Ortega, Ana
    Garzon, Natalia
    Molina-Munoz, Jesus
    [J]. ENERGIES, 2024, 17 (02)