IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v78y2022ics0301420722003403.html
   My bibliography  Save this article

Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy

Author

Listed:
  • Zhou, Yang
  • Wang, Xiaoxiao
  • Dong, Rebecca Kechen
  • Pu, Ruihui
  • Yue, Xiao-Guang

Abstract

Volatility in natural resources commodity prices is prevailing for a longer period. However, after the Covid-19 pandemic, most economical and financial markets were affected, and the natural resources commodity market was greatly affected. Besides, the pandemic's closing or postponement of the industrial sector further fuels uncertainty in the natural resources commodity market. Therefore, it is important to analyze whether volatility exists in natural resources commodity prices during the pandemic period? In this regard, the current study investigated price volatility in copper and crude oil prices during the Covid-19 while using the most recent and extended dataset from January 02, 2019, to October 08, 2021, in the case of the US. For empirical examination, this study used the breakpoint unit root test, which illustrates that the leveled data is non-stationary while the first differenced data is stationary, where both leveled and first differenced data demonstrate the breakpoints in time series. This study uses the threshold generalized autoregressive conditional heteroscedasticity (TGARCH) and exponential generalized autoregressive conditional heteroscedasticity (EGARCH) to analyze natural resource commodity price volatility. The empirical findings uncover that both variables are volatile during the Covid-19 pandemic. However, the negative shock of the Covid-19 pandemic makes the crude oil price more volatile relative to copper prices. Besides, the previous variances are also positively associated with the current variances of both variables. The findings also reveal that copper could be a safe haven for reducing volatility in natural resources. Based on the empirical findings, this study suggests ensuring macroeconomic stability and reconsidering the traditional price-fixing or price ceiling policies to tackle volatility in the Covid-19 pandemic.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003403
    DOI: 10.1016/j.resourpol.2022.102895
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722003403
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2022.102895?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Rahat, Birjees, 2021. "The impact of resource curse on banking efficiency: Evidence from twelve oil producing countries," Resources Policy, Elsevier, vol. 72(C).
    2. Su, Chi-Wei & Pang, Lidong & Umar, Muhammad & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2022. "Does gold's hedging uncertainty aura fade away?," Resources Policy, Elsevier, vol. 77(C).
    3. Nawaz, Kishwar & Lahiani, Amine & Roubaud, David, 2019. "Natural resources as blessings and finance-growth nexus: A bootstrap ARDL approach in an emerging economy," Resources Policy, Elsevier, vol. 60(C), pages 277-287.
    4. Sun, Yanpeng & Ak, Aysegul & Serener, Berna & Xiong, Deping, 2020. "Natural resource abundance and financial development: A case study of emerging seven (E−7) economies," Resources Policy, Elsevier, vol. 67(C).
    5. Xavier Sala-i-Martin & Arvind Subramanian, 2013. "Addressing the Natural Resource Curse: An Illustration from Nigeria," Journal of African Economies, Centre for the Study of African Economies, vol. 22(4), pages 570-615, August.
    6. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    7. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    8. Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
    9. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    10. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Clark, Jeremy, 2017. "The evolution of the natural resource curse thesis: A critical literature survey," Resources Policy, Elsevier, vol. 51(C), pages 123-134.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Fan Zhang & Paresh Kumar Narayan & Neluka Devpura, 2021. "Has COVID-19 changed the stock return-oil price predictability pattern?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-10, December.
    13. Su, Chi-Wei & Khan, Khalid & Umar, Muhammad & Zhang, Weike, 2021. "Does renewable energy redefine geopolitical risks?," Energy Policy, Elsevier, vol. 158(C).
    14. Aghababa, Hajar & Barnett, William A., 2016. "Dynamic structure of the spot price of crude oil: does time aggregation matter?," Energy Economics, Elsevier, vol. 59(C), pages 227-237.
    15. Tarek Bouazizi & Mongi Lassoued & Zouhaier Hadhek, 2021. "Oil Price Volatility Models during Coronavirus Crisis: Testing with Appropriate Models Using Further Univariate GARCH and Monte Carlo Simulation Models," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 281-292.
    16. 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.
    17. Joya, Omar, 2015. "Growth and volatility in resource-rich countries: Does diversification help?," Structural Change and Economic Dynamics, Elsevier, vol. 35(C), pages 38-55.
    18. Kishwar Nawaz & Amine Lahiani & David Roubaud, 2019. "Natural resources as blessings and finance-growth nexus: A bootstrap ARDL approach in an emerging economy," Post-Print hal-03532512, HAL.
    19. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    20. Yang, Shuangpeng & umar, Muhammad, 2022. "How globalization is reshaping the environmental quality in G7 economies in the presence of renewable energy initiatives?," Renewable Energy, Elsevier, vol. 193(C), pages 128-135.
    21. Chi-Wei Su & Lidong Pang & Muhammad Umar & Oana-Ramona Lobonţ, 2022. "Will Gold Always Shine amid World Uncertainty?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(12), pages 3425-3438, September.
    22. Arshad Hayat & Muhammad Tahir, 2021. "Natural Resources Volatility and Economic Growth: Evidence from the Resource-Rich Region," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    23. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    24. Fuertes, Ana-Maria & Izzeldin, Marwan & Kalotychou, Elena, 2009. "On forecasting daily stock volatility: The role of intraday information and market conditions," International Journal of Forecasting, Elsevier, vol. 25(2), pages 259-281.
    25. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    26. Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
    27. Salisu, Afees A. & Vo, Xuan Vinh & Lawal, Adedoyin, 2021. "Hedging oil price risk with gold during COVID-19 pandemic," Resources Policy, Elsevier, vol. 70(C).
    28. Brunnschweiler, Christa N., 2008. "Cursing the Blessings? Natural Resource Abundance, Institutions, and Economic Growth," World Development, Elsevier, vol. 36(3), pages 399-419, March.
    29. Hansen, James & Gross, Isaac, 2018. "Commodity price volatility with endogenous natural resources," European Economic Review, Elsevier, vol. 101(C), pages 157-180.
    30. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    31. Ayse M. Erdogan, 2014. "Foreign Direct Investment And Environmental Regulations: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 943-955, December.
    32. Erhan Mugaloglu & Ali Yavuz Polat & Abdullah Dogan & Hasan Tekin, 2021. "Oil Price Shocks During the COVID-19 Pandemic - Evidence From United Kingdom Energy Stocks," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(1), pages 1-5.
    33. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    34. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Does oil price really matter for the wage arrears in Russia?," Energy, Elsevier, vol. 208(C).
    35. Yue Zhang, 2021. "The COVID-19 Outbreak and Oil Stock Price Fluctuations - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(3), pages 1-5.
    36. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    37. Ma, Qiang & Zhang, Mei & Ali, Sher & Kirikkaleli, Dervis & Khan, Zeeshan, 2021. "Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19," Resources Policy, Elsevier, vol. 74(C).
    38. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    39. 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.
    40. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
    41. Engle, Robert F. (ed.), 1995. "ARCH: Selected Readings," OUP Catalogue, Oxford University Press, number 9780198774327, Decembrie.
    42. Sun, Li & Wang, Yang, 2021. "Global economic performance and natural resources commodity prices volatility: Evidence from pre and post COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    43. 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.
    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. Radu Ioan Petrariu & Marian Nastase & Gabriel Croitoru & Nicoleta Valentina Florea & Nicoleta Cristache & Mihaela Cristina Onica Ibinceanu, 2023. "Analysis of Responsible Energy Consumer s Behaviour in the Context of REPowerEU Plan," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 743-743, August.

    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. 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).
    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. Lin, Shiwei & Wang, Yanan & Niu, Xiaojian & Dördüncü, Hazar, 2022. "Revisiting volatility in global natural resources commodities? Evidence from global data," 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. Zhang, Jie & Chen, Zhiguo & Altuntaş, Mehmet, 2022. "Tracing volatility in natural resources, green finance and investment in energy resources: Fresh evidence from China," Resources Policy, Elsevier, vol. 79(C).
    6. Ni, Xiewen & Wang, Zanxin & Akbar, Ahsan & Ali, Sher, 2022. "Measuring natural resources rents volatility: Evidence from EGARCH and TGARCH for global data," Resources Policy, Elsevier, vol. 76(C).
    7. 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).
    8. Dogan, Eyup & Majeed, Muhammad Tariq & Luni, Tania, 2022. "Analyzing the nexus of COVID-19 and natural resources and commodities: Evidence from time-varying causality," Resources Policy, Elsevier, vol. 77(C).
    9. Tang, Shi & Ma, Yechi & Altuntaş, Mehmet, 2022. "Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression," Resources Policy, Elsevier, vol. 78(C).
    10. Yating, Yang & Mughal, Nafeesa & Wen, Jun & Thi Ngan, Truong & Ramirez-Asis, Edwin & Maneengam, Apichit, 2022. "Economic performance and natural resources commodity prices volatility: Evidence from global data," Resources Policy, Elsevier, vol. 78(C).
    11. Xu, Qingqing & Meng, Tianci & Sha, Yue & Jiang, Xia, 2022. "Volatility in metallic resources prices in COVID-19 and financial Crises-2008: Evidence from global market," Resources Policy, Elsevier, vol. 78(C).
    12. Zhou, Shuai & Qian, Yudan & Farmanesh, Panteha, 2022. "The economic cost of environmental laws: Volatility transmission mechanism and remedies," Resources Policy, Elsevier, vol. 79(C).
    13. Liang, Jinhao & Razzaq, Asif & Sharif, Arshian & Irfan, Muhammad, 2022. "Revisiting economic and non-economic indicators of natural resources: Analysis of developed economies," Resources Policy, Elsevier, vol. 77(C).
    14. Zhou, Haonan & Li, Dongxin & Mustafa, Faisal & Altuntaş, Mehmet, 2022. "Natural resources volatility and South Asian economies: Evaluating the role of COVID-19," Resources Policy, Elsevier, vol. 75(C).
    15. Zheng, Deyuan & Zhao, Chunguang & Hu, Jiaying, 2023. "Impact of geopolitical risk on the volatility of natural resource commodity futures prices in China," Resources Policy, Elsevier, vol. 83(C).
    16. Zhang, Yichi & Wang, Qiao & Tian, Tian & Yang, Yuan, 2022. "Volatility in natural resources, economic performance, and public administration quality: Evidence from COVID-19," Resources Policy, Elsevier, vol. 76(C).
    17. Sun, Yanpeng & Chang, Hsuling & Vasbieva, Dinara G. & Andlib, Zubaria, 2022. "Economic performance, investment in energy resources, foreign trade, and natural resources volatility nexus: Evidence from China's provincial data," Resources Policy, Elsevier, vol. 78(C).
    18. Issler, João Victor, 1999. "Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 347, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    19. Liu, Feng & Zhang, Chuanguo & Tang, Mengying, 2021. "The impacts of oil price shocks and jumps on China's nonferrous metal markets," Resources Policy, Elsevier, vol. 73(C).
    20. Destek, Mehmet Akif & Adedoyin, Festus & Bekun, Festus Victor & Aydin, Sercan, 2023. "Converting a resource curse into a resource blessing: The function of institutional quality with different dimensions," Resources Policy, Elsevier, vol. 80(C).

    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:eee:jrpoli:v:78:y:2022:i:c:s0301420722003403. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.