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Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China

Author

Listed:
  • Zheng Shi
  • Dongmin Kong

    (School of Economics, Huazhong University of Science and Technology)

Abstract

This study focuses on the relation between the fluctuation of international oil prices and China’s energy stock market during the COVID-19 pandemic, using a dynamic conditional correlation generalized autoregressive conditional heteroskedasticity model. We confirm the spillover effect of volatility between oil price returns and energy stock returns and determine that price leadership has been heavily influenced during the pandemic.

Suggested Citation

  • Zheng Shi & Dongmin Kong, 2021. "Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(4), pages 1-4.
    • Handle: RePEc:ayb:jrnerl:33
    DOI: 2021/10/13
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
    2. Zhang, Yanyan & chang, Hsuling & Saliba, Chafic & Hasnaoui, Amir, 2022. "Metallic natural resources commodity prices volatility in the pandemic: Evidence for silver, platinum, and palladium," Resources Policy, Elsevier, vol. 78(C).
    3. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    4. Ray Saadaoui Mallek & Mohamed Albaity & Mahfuzur Rahman, 2025. "Economic freedom, economic sustainability, and herding behavior: Does the ubiquity of information communication technology matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-29, December.
    5. Wang, Yanlong & Li, Haixia & Altuntaş, Mehmet, 2022. "Volatility in natural resources commodity prices: Evaluating volatility in oil and gas rents," Resources Policy, Elsevier, vol. 77(C).
    6. Luan, Yunpeng & Ye, Shili & Li, Yanmei & Jia, Lu & Yue, Xiao-Guang, 2022. "Revisiting natural resources volatility via TGARCH and EGARCH," Resources Policy, Elsevier, vol. 78(C).
    7. Behera, Harendra & Gunadi, Iman & Rath, Badri Narayan, 2023. "COVID-19 uncertainty, financial markets and monetary policy effects in case of two emerging Asian countries," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 173-189.
    8. Nurkhodzha Akbulaev & Imangulu Muradzada & Ziyadhan Hasanov, 2023. "Relationship between Oil Prices and Russia Exchange Indices: Analysis of Frequency Causality," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 607-615, September.
    9. Cheng, WeiJin & Ming, Kai & Ullah, Mirzat, 2024. "Oil price volatility prediction using out-of-sample analysis – Prediction efficiency of individual models, combination methods, and machine learning based shrinkage methods," Energy, Elsevier, vol. 300(C).
    10. He, Zhifang & Sun, Hao & Chen, Jiaqi & Yang, Xin & Yin, Zhujia, 2023. "Dynamic interaction of risk–return trade-offs between oil market and China’s stock market: An analysis from the risk preferences perspective," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).

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    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • I1 - Health, Education, and Welfare - - Health

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