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Predicting volatility in natural gas under a cloud of uncertainties

The COVID-19 pandemic has triggered an economic crisis and the ensuing global uncertainty. The current Russian-Ukrainian conflict has escalated tensions in various regions and increased various uncertainties in the financial and economic system. These uncertainties have had a significant impact on t...

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Detalles Bibliográficos
Autores principales: Chen, Juan, Xiao, Zuoping, Bai, Jiancheng, Guo, Hongling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000575/
https://www.ncbi.nlm.nih.gov/pubmed/36937544
http://dx.doi.org/10.1016/j.resourpol.2023.103436
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author Chen, Juan
Xiao, Zuoping
Bai, Jiancheng
Guo, Hongling
author_facet Chen, Juan
Xiao, Zuoping
Bai, Jiancheng
Guo, Hongling
author_sort Chen, Juan
collection PubMed
description The COVID-19 pandemic has triggered an economic crisis and the ensuing global uncertainty. The current Russian-Ukrainian conflict has escalated tensions in various regions and increased various uncertainties in the financial and economic system. These uncertainties have had a significant impact on the development of the natural gas market during the current critical period of carbon neutrality and energy transition. This paper explores the impact of various uncertainties on price volatility in the U.S. natural gas futures market using the GARCH-MIDAS model. We considered eleven types of uncertainties, including four US economic policy uncertainties, four global uncertainty indicators, and oil supply-demand uncertainty closely related to the natural gas market. The in-sample empirical results find that various uncertainties can impact the natural gas market. However, through out-of-sample testing, we find that economic policy uncertainty has more predictive power than other indicators in predicting natural gas price fluctuations. Interestingly, oil supply-demand uncertainty surpasses global indicators and can provide forecasting information for natural gas markets. Therefore, in the current context of high uncertainty, our research may offer better decision-making opinions for market participants.
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spelling pubmed-100005752023-03-13 Predicting volatility in natural gas under a cloud of uncertainties Chen, Juan Xiao, Zuoping Bai, Jiancheng Guo, Hongling Resour Policy Article The COVID-19 pandemic has triggered an economic crisis and the ensuing global uncertainty. The current Russian-Ukrainian conflict has escalated tensions in various regions and increased various uncertainties in the financial and economic system. These uncertainties have had a significant impact on the development of the natural gas market during the current critical period of carbon neutrality and energy transition. This paper explores the impact of various uncertainties on price volatility in the U.S. natural gas futures market using the GARCH-MIDAS model. We considered eleven types of uncertainties, including four US economic policy uncertainties, four global uncertainty indicators, and oil supply-demand uncertainty closely related to the natural gas market. The in-sample empirical results find that various uncertainties can impact the natural gas market. However, through out-of-sample testing, we find that economic policy uncertainty has more predictive power than other indicators in predicting natural gas price fluctuations. Interestingly, oil supply-demand uncertainty surpasses global indicators and can provide forecasting information for natural gas markets. Therefore, in the current context of high uncertainty, our research may offer better decision-making opinions for market participants. Elsevier Ltd. 2023-05 2023-03-10 /pmc/articles/PMC10000575/ /pubmed/36937544 http://dx.doi.org/10.1016/j.resourpol.2023.103436 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chen, Juan
Xiao, Zuoping
Bai, Jiancheng
Guo, Hongling
Predicting volatility in natural gas under a cloud of uncertainties
title Predicting volatility in natural gas under a cloud of uncertainties
title_full Predicting volatility in natural gas under a cloud of uncertainties
title_fullStr Predicting volatility in natural gas under a cloud of uncertainties
title_full_unstemmed Predicting volatility in natural gas under a cloud of uncertainties
title_short Predicting volatility in natural gas under a cloud of uncertainties
title_sort predicting volatility in natural gas under a cloud of uncertainties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000575/
https://www.ncbi.nlm.nih.gov/pubmed/36937544
http://dx.doi.org/10.1016/j.resourpol.2023.103436
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