Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China
Haozhi Qi,
Lijun Ma,
Pin Peng,
Hao Chen and
Kang Li
Resources Policy, 2022, vol. 79, issue C
Abstract:
We examine the dynamic relationship between clean energy stock markets and energy commodity markets in China from a time-frequency perspective. The daily dataset spans from March 27th, 2018, to July 29th, 2022, and is utilized in this study. We find that the clean stock markets are the main contributors and recipients in this dynamic system in the short run, while the solid net contributor role of commodities is detected in the long run. In addition, in most cases, short-term spillovers can dominate the long-run ones. However, during the COVID-19 pandemic, long-term spillovers can dominate short-run spillovers. In particular, it can be seen that in the short run, energy commodities can be easily influenced by clean energy stocks. In the long run, traditional energy assets are less affected. Finally, we show that COVID-19 can increase the hedging effectiveness of the portfolio design. We conclude with policy implications for energy and resources policymakers.
Keywords: Clean energy stock markets; Energy commodity markets; Chinese markets; Dynamic time-frequency connectedness; COVID-19; Portfolio design (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722005372
DOI: 10.1016/j.resourpol.2022.103094
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