Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach

The spread of the COVID-19 pandemic in 2020 has contributed a large impact on various economic sectors and the energy sector is no exception. In this paper, we analyze the time-varying correlation between COVID-19 shocks (positive and negative) and energy markets (natural gas, gasoil, heating oil, c...

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Main Authors: Paravee Maneejuk, Sukrit Thongkairat, Wilawan Srichaikul
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721003486
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spelling doaj-b763243151a844efa0df60af388d540a2021-09-29T04:25:42ZengElsevierEnergy Reports2352-48472021-09-0178188Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approachParavee Maneejuk0Sukrit Thongkairat1Wilawan Srichaikul2Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, ThailandCenter of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, ThailandCorresponding author.; Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, ThailandThe spread of the COVID-19 pandemic in 2020 has contributed a large impact on various economic sectors and the energy sector is no exception. In this paper, we analyze the time-varying correlation between COVID-19 shocks (positive and negative) and energy markets (natural gas, gasoil, heating oil, coal, and crude oil) in the time-varying environment. This study adds to the literature by implementing the Markov-switching dynamic copula with Student-t distribution to explore the unexpected COVID-19 pandemic shock effects on energy markets. Our results revealed that (i) there is evidence of correlation between COVID-19 shocks and all energy markets; (ii) the contributions of COVID-19 shocks on energy markets are not constant along 2020. (iii), there is evidence of a similar response of the energy markets to the positive and negative COVID-19 shocks.http://www.sciencedirect.com/science/article/pii/S2352484721003486Co-movementCOVID-19 shockEnergy marketsMarkov Switching Dynamic Copula-based approach
collection DOAJ
language English
format Article
sources DOAJ
author Paravee Maneejuk
Sukrit Thongkairat
Wilawan Srichaikul
spellingShingle Paravee Maneejuk
Sukrit Thongkairat
Wilawan Srichaikul
Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
Energy Reports
Co-movement
COVID-19 shock
Energy markets
Markov Switching Dynamic Copula-based approach
author_facet Paravee Maneejuk
Sukrit Thongkairat
Wilawan Srichaikul
author_sort Paravee Maneejuk
title Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
title_short Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
title_full Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
title_fullStr Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
title_full_unstemmed Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
title_sort time-varying co-movement analysis between covid-19 shocks and the energy markets using the markov switching dynamic copula approach
publisher Elsevier
series Energy Reports
issn 2352-4847
publishDate 2021-09-01
description The spread of the COVID-19 pandemic in 2020 has contributed a large impact on various economic sectors and the energy sector is no exception. In this paper, we analyze the time-varying correlation between COVID-19 shocks (positive and negative) and energy markets (natural gas, gasoil, heating oil, coal, and crude oil) in the time-varying environment. This study adds to the literature by implementing the Markov-switching dynamic copula with Student-t distribution to explore the unexpected COVID-19 pandemic shock effects on energy markets. Our results revealed that (i) there is evidence of correlation between COVID-19 shocks and all energy markets; (ii) the contributions of COVID-19 shocks on energy markets are not constant along 2020. (iii), there is evidence of a similar response of the energy markets to the positive and negative COVID-19 shocks.
topic Co-movement
COVID-19 shock
Energy markets
Markov Switching Dynamic Copula-based approach
url http://www.sciencedirect.com/science/article/pii/S2352484721003486
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AT sukritthongkairat timevaryingcomovementanalysisbetweencovid19shocksandtheenergymarketsusingthemarkovswitchingdynamiccopulaapproach
AT wilawansrichaikul timevaryingcomovementanalysisbetweencovid19shocksandtheenergymarketsusingthemarkovswitchingdynamiccopulaapproach
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