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Volatility shocks in energy commodities: The influence of COVID-19

Author

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  • Pastory Dickson

    (College of Business Education)

  • Emmanuel Munishi

    (College of Business Education)

Abstract

This study investigates the impact of COVID-19 induced global panic on crude oil and natural gas volatility. The author uses the Structural Vector Auto Regression (SVAR) to examine the magnitude of shocks in global oil and gas prices caused by COVID-19 induced panic between 3rd January 2020 and 30th June 2021. The results show that shocks in oil and gas prices were negative and more severe in the first five (5) months of 2020 when the pandemic was spreading across the globe forcing countries' prices into lockdowns. The negative shocks gradually diminished in the following periods as the prices recovered courtesy of global economic recovery and vaccine rollouts. Furthermore, the panic was more pronounced in causing oil prices shocks as gas prices were already suffering amid mild temperatures during the 2020 winter season. The author stresses the need for swift actions during the early days of the crisis to adjust oil and gas supply to match demand shrinkage so as to stabilize their prices given their enormity to the global economy. The Russia-Saudi Arabia delays in agreeing on oil supply restrictions may have amplified the magnitude of negative shocks in oil prices. Existing studies have examined the country-level impacts of COVID-19 on energy prices focusing mainly on oil. However, oil and gas are among the most traded commodities in the world thus the stability of their prices is of global concern. This study examines this phenomenon on a global scale by utilizing the novel global coronavirus panic index. Key Words:COVID-19, Oil, Gas, SVAR

Suggested Citation

  • Pastory Dickson & Emmanuel Munishi, 2022. "Volatility shocks in energy commodities: The influence of COVID-19," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(2), pages 214-227, March.
    • Handle: RePEc:rbs:ijbrss:v:11:y:2022:i:2:p:214-227
    DOI: 10.20525/ijrbs.v11i2.1614
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    1. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    2. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    3. Tomasz Górecki & Siegfried Hörmann & Lajos Horváth & Piotr Kokoszka, 2018. "Testing Normality of Functional Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(4), pages 471-487, July.
    4. Afees A. Salisu & Kingsley Obiora, 2021. "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    5. Mason, Charles F. & A. Wilmot, Neil, 2014. "Jump processes in natural gas markets," Energy Economics, Elsevier, vol. 46(S1), pages 69-79.
    6. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    7. Zaghum Umar & Saqib Aziz & Dima Tawil, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Post-Print hal-03330197, HAL.
    8. Le, Thai-Ha & Nguyen, Canh Phuc, 2019. "Is energy security a driver for economic growth? Evidence from a global sample," Energy Policy, Elsevier, vol. 129(C), pages 436-451.
    9. Gebhard Kirchgässner & Jürgen Wolters & Uwe Hassler, 2013. "Introduction to Modern Time Series Analysis," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-642-33436-8, August.
    10. Phan, Dinh Hoang Bach & Narayan, Paresh Kumar & Gong, Qiang, 2021. "Terrorist attacks and oil prices: Hypothesis and empirical evidence," International Review of Financial Analysis, Elsevier, vol. 74(C).
    11. Bourghelle, David & Jawadi, Fredj & Rozin, Philippe, 2021. "Oil price volatility in the context of Covid-19," International Economics, Elsevier, vol. 167(C), pages 39-49.
    12. Aboura, Sofiane & Wagner, Niklas, 2016. "Extreme asymmetric volatility: Stress and aggregate asset prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 47-59.
    13. Umar, Zaghum & Aziz, Saqib & Tawil, Dima, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    14. Timothy Mitchell, 2010. "The Resources Of Economics," Journal of Cultural Economy, Taylor & Francis Journals, vol. 3(2), pages 189-204, July.
    15. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
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    Cited by:

    1. Diana-Mihaela Jula, 2022. "Renewable Energy during the Pandemic Crisis," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 10(1), pages 34-48, June.
    2. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    3. Nicolae-Marius Jula & Diana-Mihaela Jula & Bogdan Oancea & Răzvan-Mihail Papuc & Dorin Jula, 2023. "Changes in the Pattern of Weekdays Electricity Real Consumption during the COVID-19 Crisis," Energies, MDPI, vol. 16(10), pages 1-20, May.

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    Keywords

    covid-19; oil; gas; svar;
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