IDEAS home Printed from https://ideas.repec.org/a/ayb/jrnerl/47.html
   My bibliography  Save this article

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:47
    DOI: 2021/10/28
    as

    Download full text from publisher

    File URL: https://erl.scholasticahq.com/api/v1/articles/28131-oil-price-stock-market-nexus-during-the-covid-19-pandemic-evidence-from-china.pdf
    Download Restriction: no
    File URL: https://libkey.io/2021/10/28?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Salisu, Afees A. & Vo, Xuan Vinh, 2020. "Predicting stock returns in the presence of COVID-19 pandemic: The role of health news," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    3. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    4. Narayan, Paresh Kumar, 2021. "COVID-19 research outcomes: An agenda for future research," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 439-445.
    5. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).
    6. Stelios Bekiros & Gazi Salah Uddin, 2017. "Extreme Dependence under Uncertainty: an application to Stock, Currency and Oil Markets," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 155-162, March.
    7. Liu, Jia & Wu, Yuliang & Ye, Qing & Zhang, Dayong, 2019. "Do seasoned offerings improve the performance of issuing firms? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 104-123.
    8. Bai, Shuming & Koong, Kai S., 2018. "Oil prices, stock returns, and exchange rates: Empirical evidence from China and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 12-33.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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).
    5. 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).
    6. 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.
    7. 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.
    8. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Cui xiaozhong, & Yen-Ku, Kuo & Maneengam, Apichit & Cong, Phan The & Quynh, Nguyen Ngoc & Ageli, Mohammed Moosa & Wisetsri, Worakamol, 2022. "Covid-19 and oil and gold price volatilities: Evidence from China market," Resources Policy, Elsevier, vol. 79(C).
    3. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    4. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2022. "The COVID-19 pandemic, policy responses and stock markets in the G20," International Economics, CEPII research center, issue 172, pages 77-90.
    5. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    6. Sisa Shiba & Goodness C. Aye & Rangan Gupta & Samrat Goswami, 2022. "Forecastability of Agricultural Commodity Futures Realised Volatility with Daily Infectious Disease-Related Uncertainty," JRFM, MDPI, vol. 15(11), pages 1-15, November.
    7. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
    8. Narayan, Paresh Kumar & Devpura, Neluka & Wang, Hua, 2020. "Japanese currency and stock market—What happened during the COVID-19 pandemic?," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 191-198.
    9. 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).
    10. Golab, Anna & Bannigidadmath, Deepa & Pham, Thach Ngoc & Thuraisamy, Kannan, 2022. "Economic policy uncertainty and industry return predictability – Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 433-447.
    11. Ahadzie, Richard Mawulawoe & Daugaard, Dan & Kangogo, Moses & Khan, Faisal & Vespignani, Joaquin, 2023. "Covid-19, Mobility Restriction Policies and Stock Market Volatility: A Cross-Country Empirical Study," Working Papers 2023-03, University of Tasmania, Tasmanian School of Business and Economics.
    12. Benlagha, Noureddine & Omari, Salaheddine El, 2022. "Connectedness of stock markets with gold and oil: New evidence from COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 46(PB).
    13. Niu, Zibo & Liu, Yuanyuan & Gao, Wang & Zhang, Hongwei, 2021. "The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China," Resources Policy, Elsevier, vol. 73(C).
    14. Salisu, Afees A. & Vo, Xuan Vinh & Lucey, Brian, 2021. "Gold and US sectoral stocks during COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 57(C).
    15. Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Testing policy effectiveness during COVID-19: An NK-DSGE analysis," Journal of Asian Economics, Elsevier, vol. 84(C).
    16. Elnahass, Marwa & Trinh, Vu Quang & Li, Teng, 2021. "Global banking stability in the shadow of Covid-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    17. JEBABLI, Ikram & KOUAISSAH, Noureddine & AROURI, Mohamed, 2022. "Volatility Spillovers between Stock and Energy Markets during Crises: A Comparative Assessment between the 2008 Global Financial Crisis and the Covid-19 Pandemic Crisis," Finance Research Letters, Elsevier, vol. 46(PA).
    18. Yashraj Varma & Renuka Venkataramani & Parthajit Kayal & Moinak Maiti, 2021. "Short-Term Impact of COVID-19 on Indian Stock Market," JRFM, MDPI, vol. 14(11), pages 1-15, November.
    19. Bazán-Palomino, Walter & Winkelried, Diego, 2021. "FX markets’ reactions to COVID-19: Are they different?," International Economics, Elsevier, vol. 167(C), pages 50-58.
    20. Tanveer, Zubair, 2021. "Event Analysis of the COVID-19: Evidence from the Stock Markets of Twenty Highly Infected Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(1), pages 3-25.

    More about this item

    Keywords

    DCC-GARCH; COVID-19; Crude Oil;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ayb:jrnerl:47. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Asia-Pacific Applied Economics Association (email available below). General contact details of provider: https://edirc.repec.org/data/apaeaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.