Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm
The study investigates the impact of uncertainties on energy pricing during the COVID-19 pandemic using five uncertainty measures that include the COVID-Induced Uncertainty (CIU), Economic Policy Uncertainty (EPU), Global Fear Index (GFI); Volatility Index (VIX), and the Misinformation Index of Unce...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305321000399 |
| _version_ | 1817978636098076672 |
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| author | Olusanya E. Olubusoye Olalekan J. Akintande OlaOluwa S. Yaya Ahamuefula E. Ogbonna Adeola F. Adenikinju |
| author_facet | Olusanya E. Olubusoye Olalekan J. Akintande OlaOluwa S. Yaya Ahamuefula E. Ogbonna Adeola F. Adenikinju |
| author_sort | Olusanya E. Olubusoye |
| collection | DOAJ |
| description | The study investigates the impact of uncertainties on energy pricing during the COVID-19 pandemic using five uncertainty measures that include the COVID-Induced Uncertainty (CIU), Economic Policy Uncertainty (EPU), Global Fear Index (GFI); Volatility Index (VIX), and the Misinformation Index of Uncertainty (MIU). The data, which span between 2-January, 2020 and 19-January, 2021, corresponding to the period of the COVID-19 pandemic. The study finds energy prices to respond significantly to the examined uncertainty measures, with EPU seen to affect the prices of most energy types during the pandemic. We also find predictive potentials inherent in VIX, CIU, and MIU for global energy sources. |
| first_indexed | 2024-04-13T22:31:50Z |
| format | Article |
| id | doaj.art-b1024230ebbe49f28d8f62478b7fe338 |
| institution | Directory Open Access Journal |
| issn | 2667-3053 |
| language | English |
| last_indexed | 2024-04-13T22:31:50Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Intelligent Systems with Applications |
| spelling | doaj.art-b1024230ebbe49f28d8f62478b7fe3382022-12-22T02:26:54ZengElsevierIntelligent Systems with Applications2667-30532021-11-0112200050Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithmOlusanya E. Olubusoye0Olalekan J. Akintande1OlaOluwa S. Yaya2Ahamuefula E. Ogbonna3Adeola F. Adenikinju4Laboratory for Interdisciplinary Statistical Analysis, Department of Statistics, University of Ibadan, Ibadan, Nigeria & Computational Statistics Unit, Department of Statistics, University of Ibadan, Nigeria, & Centre for Econometric and Allied Research, University of Ibadan, Ibadan, Nigeria & Centre for Petroleum, Energy Economics and Law, University of Ibadan, Ibadan, NigeriaLaboratory for Interdisciplinary Statistical Analysis, Department of Statistics, University of Ibadan, Ibadan, Nigeria & Computational Statistics Unit, Department of Statistics, University of Ibadan, Nigeria, & Centre for Petroleum, Energy Economics and Law, University of Ibadan, Ibadan, NigeriaComputational Statistics Unit, Department of Statistics, University of Ibadan, Nigeria & Centre for Econometric and Allied Research, University of Ibadan, Ibadan, Nigeria & Centre for Petroleum, Energy Economics and Law, University of Ibadan, Ibadan, NigeriaCentre for Econometric and Allied Research, University of Ibadan, Ibadan, Nigeria & Economic and Statistics Unit, Department of Statistics, University of Ibadan, Ibadan, Nigeria & Centre for Petroleum, Energy Economics and Law, University of Ibadan, Ibadan, NigeriaCentre for Petroleum, Energy Economics and Law (CPEEL), University of Ibadan, Ibadan, Nigeria & Department of Economics, University of Ibadan, Ibadan, Nigeria; Corresponding author.The study investigates the impact of uncertainties on energy pricing during the COVID-19 pandemic using five uncertainty measures that include the COVID-Induced Uncertainty (CIU), Economic Policy Uncertainty (EPU), Global Fear Index (GFI); Volatility Index (VIX), and the Misinformation Index of Uncertainty (MIU). The data, which span between 2-January, 2020 and 19-January, 2021, corresponding to the period of the COVID-19 pandemic. The study finds energy prices to respond significantly to the examined uncertainty measures, with EPU seen to affect the prices of most energy types during the pandemic. We also find predictive potentials inherent in VIX, CIU, and MIU for global energy sources.http://www.sciencedirect.com/science/article/pii/S2667305321000399Coronavirus pandemicEnergy marketMachine learningUncertainty |
| spellingShingle | Olusanya E. Olubusoye Olalekan J. Akintande OlaOluwa S. Yaya Ahamuefula E. Ogbonna Adeola F. Adenikinju Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm Intelligent Systems with Applications Coronavirus pandemic Energy market Machine learning Uncertainty |
| title | Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm |
| title_full | Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm |
| title_fullStr | Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm |
| title_full_unstemmed | Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm |
| title_short | Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm |
| title_sort | energy pricing during the covid 19 pandemic predictive information based uncertainty indexes with machine learning algorithm |
| topic | Coronavirus pandemic Energy market Machine learning Uncertainty |
| url | http://www.sciencedirect.com/science/article/pii/S2667305321000399 |
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