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Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets

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  • Hanif, Waqas
  • Mensi, Walid
  • Gubareva, Mariya
  • Teplova, Tamara

Abstract

We examine the time-frequency co-movements and return and volatility spillovers between the rare earths and six major renewable energy stocks. We employ the wavelet analysis and the spillover index methodology from January 1, 2018 to May 15, 2020. We report that the COVID-19-triggered significant increase in co-movements and spillovers in returns and volatility between the rare earths and renewable energy returns and volatility. The rare earths act as net recipient of both return and volatility spillovers, while the clean energy stocks are net transmitters of return and volatility spillovers before and during the COVID-19 crisis. The solar and wind stocks are net transmitters/receivers of spillovers before/during the pandemic. The remaining markets shift from net spillover receivers to transmitters or vice versa; evidencing the effects of the pandemic. Our results show that cross-market hedge strategies may have their efficiency impaired during the periods of crises implying a necessity of portfolio rebalancing.

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  • Hanif, Waqas & Mensi, Walid & Gubareva, Mariya & Teplova, Tamara, 2023. "Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets," Resources Policy, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006390
    DOI: 10.1016/j.resourpol.2022.103196
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    as
    1. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    2. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    3. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    4. Chen, Yufeng & Zheng, Biao & Qu, Fang, 2020. "Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach," Resources Policy, Elsevier, vol. 65(C).
    5. Zheng, Biao & Zhang, Yuquan & Chen, Yufeng, 2021. "Asymmetric connectedness and dynamic spillovers between renewable energy and rare earth markets in China: Evidence from firms’ high-frequency data," Resources Policy, Elsevier, vol. 71(C).
    6. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2014. "Clean energy industries and rare earth materials: Economic and financial issues," Energy Policy, Elsevier, vol. 66(C), pages 53-61.
    8. Wang, Peng & Chen, Li-Yang & Ge, Jian-Ping & Cai, Wenjia & Chen, Wei-Qiang, 2019. "Incorporating critical material cycles into metal-energy nexus of China’s 2050 renewable transition," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2019. "Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data," Economics Letters, Elsevier, vol. 181(C), pages 90-94.
    10. Hodgkinson, Jane H. & Smith, Michael H., 2021. "Climate change and sustainability as drivers for the next mining and metals boom: The need for climate-smart mining and recycling," Resources Policy, Elsevier, vol. 74(C).
    11. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price spillovers between rare earth stocks and financial markets," Resources Policy, Elsevier, vol. 66(C).
    12. Fernandez, Viviana, 2017. "Rare-earth elements market: A historical and financial perspective," Resources Policy, Elsevier, vol. 53(C), pages 26-45.
    13. Maximilian A. Müller & Denis Schweizer & Volker Seiler, 2016. "Wealth Effects of Rare Earth Prices and China’s Rare Earth Elements Policy," Journal of Business Ethics, Springer, vol. 138(4), pages 627-648, November.
    14. Zaghum Umar & Mariya Gubareva, 2021. "The relationship between the Covid-19 media coverage and the Environmental, Social and Governance leaders equity volatility: a time-frequency wavelet analysis," Applied Economics, Taylor & Francis Journals, vol. 53(27), pages 3193-3206, June.
    15. Apergis, Emmanuel & Apergis, Nicholas, 2017. "The role of rare earth prices in renewable energy consumption: The actual driver for a renewable energy world," Energy Economics, Elsevier, vol. 62(C), pages 33-42.
    16. Umar, Zaghum & Gubareva, Mariya, 2020. "A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    17. Ijaz Younis & Cheng Longsheng & Muhammad Farhan Basheer & Ahmed Shafique Joyo, 2020. "Stock market comovements among Asian emerging economies: A wavelet-based approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-23, October.
    18. Yufeng Chen & Biao Zheng, 2019. "What Happens after the Rare Earth Crisis: A Systematic Literature Review," Sustainability, MDPI, vol. 11(5), pages 1-26, March.
    19. Riesgo García, María Victoria & Krzemień, Alicja & Manzanedo del Campo, Miguel Ángel & Menéndez Álvarez, Mario & Gent, Malcolm Richard, 2017. "Rare earth elements mining investment: It is not all about China," Resources Policy, Elsevier, vol. 53(C), pages 66-76.
    20. Massari, Stefania & Ruberti, Marcello, 2013. "Rare earth elements as critical raw materials: Focus on international markets and future strategies," Resources Policy, Elsevier, vol. 38(1), pages 36-43.
    21. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2015. "Does gold glitter in the long-run? Gold as a hedge and safe haven across time and investment horizon," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 320-328.
    22. Elie Bouri & Kakali Kanjilal & Sajal Ghosh & David Roubaud & Tareq Saeed, 2021. "Rare earth and allied sectors in stock markets: extreme dependence of return and volatility," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5710-5730, October.
    23. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    24. Schmid, Marc, 2019. "Mitigating supply risks through involvement in rare earth projects: Japan's strategies and what the US can learn," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    25. Gubareva, Mariya, 2021. "The impact of Covid-19 on liquidity of emerging market bonds," Finance Research Letters, Elsevier, vol. 41(C).
    26. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    27. Wang, Xibo & Lei, Yalin & Ge, Jianping & Wu, Sanmang, 2015. "Production forecast of China׳s rare earths based on the Generalized Weng model and policy recommendations," Resources Policy, Elsevier, vol. 43(C), pages 11-18.
    28. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).
    29. Nassar, Nedal T. & Wilburn, David R. & Goonan, Thomas G., 2016. "Byproduct metal requirements for U.S. wind and solar photovoltaic electricity generation up to the year 2040 under various Clean Power Plan scenarios," Applied Energy, Elsevier, vol. 183(C), pages 1209-1226.
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    More about this item

    Keywords

    Renewable energy indices; REMX rare Earth index; Return and volatility spillovers; Wavelet-based analysis; Spillover index methodology; COVID-19;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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