Journal
ENERGY
Volume 251, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.123951
Keywords
Rare earths; Wavelet theory; High-technology; Renewable energy; Volatility spillover; GARCH model
Categories
Funding
- National Natural Science Foundation of China [72088101, 71690241, 71810107001]
- Fundamental Research Funds for the Central Universities at Shanghai Jiao Tong University [WF220428008]
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This study investigates the volatility spillovers between crude oil, renewable energy, high-technology, and rare earths markets in China and finds significant volatility spillovers between renewable energy and high-technology markets, with rare earths having a significant impact on the entire system. These results have potential importance and use for investors and policy makers.
Amidst the background of an increasingly evidenced shift to renewable energy, many studies explored the relationships between crude oil, renewable energy, and technology stock markets worldwide. However, research has yet to take the raw materials market into account financially. This study investigates the volatility spillovers between crude oil, renewable energy, and high-technology markets in China in time and frequency domains first. Thereupon the tri-market system gets expanded to include the raw materials market (rare earths). The framework of wavelet analysis and BEKK-GARCH model with exogenous variables is applied. The results corroborate that there exists significant volatility spillover between renewable energy and high-technology stock markets, and the renewable energy market in China relates closer to high-technology than crude oil. Besides, the volatility spillovers vary by frequency, with D3 (8e16 days) results appearing more pronounced. Moreover, the rare earths market has significant impacts on the system, especially for high-technology and renewable energy markets. This suggests that as key raw materials to renewable energy development, rare earths may increase the risk transfer of the tri-market system. The results are of potential importance and use for investors and policy makers. In particular, taking the frequency perspective helps devising differentiated portfolio and risk management strategies.
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