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Time-Frequency Spillovers and the Determinants among Fossil Energy, Clean Energy and Metal Markets

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  • Qian Ding, Jianbai Huang, and Jinyu Chen

Abstract

Using the frequency-domain spillover index method, we investigate time-frequency spillovers and their underlying drivers among fossil energy, clean energy and metal markets. We find that short-term spillovers are stronger than long-term spillovers. Global clean energy markets are powerful spillover transmitters that can have strong impacts on fossil energy and metal markets. Rare earth metals are most vulnerable to spillover effects from clean energy and base metal markets, particularly in the long term. Different clean energy sources and metal markets have heterogeneous connectedness, e.g., the impact of wind energy on rare earth market is greater than that of solar energy. The short-term spillovers are mainly driven by policy changes, while the long-term spillovers are mainly affected by stock market uncertainty and economic fundamentals. Our findings have important implications for the construction of optimal diversification strategies and the design of policy incentives to promote clean energy investments across different time horizons.

Suggested Citation

  • Qian Ding, Jianbai Huang, and Jinyu Chen, 2023. "Time-Frequency Spillovers and the Determinants among Fossil Energy, Clean Energy and Metal Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  • Handle: RePEc:aen:journl:ej44-2-chen
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    Cited by:

    1. Xiang, Diling & Ghaemi Asl, Mahdi & Nasr Isfahani, Mohammad & Vasa, László, 2024. "Would really long-only climate-transition strategies in commodities bring lower market risk for sustainable markets in the long run? The Islamic sustainable market versus the global sustainability lea," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1271-1295.
    2. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    3. Yan-Hong Yang & Ying-Hui Shao & Wei-Xing Zhou, 2024. "Quantile connectedness across BRICS and international grain futures markets: Insights from the Russia-Ukraine conflict," Papers 2409.19307, arXiv.org.
    4. Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
    5. Elsayed, Ahmed H. & Hoque, Mohammad Enamul & Billah, Mabruk & Alam, Md. Kausar, 2024. "Connectedness across meme assets and sectoral markets: Determinants and portfolio management," International Review of Financial Analysis, Elsevier, vol. 93(C).
    6. Mhadhbi, Mayssa, 2024. "The interconnected carbon, fossil fuels, and clean energy markets: Exploring Europe and China's perspectives on climate change," Finance Research Letters, Elsevier, vol. 62(PB).

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    JEL classification:

    • F0 - International Economics - - General

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