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A wavelet-based methodology to compare the impact of pandemic versus Russia-Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets

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dc.contributor.author ROY, ARCHI en_US
dc.contributor.author Soni, Anchal en_US
dc.contributor.author Deb, Soudeep en_US
dc.date.accessioned 2024-02-12T11:50:29Z
dc.date.available 2024-02-12T11:50:29Z
dc.date.issued 2023-08 en_US
dc.identifier.citation Energy Economics, 124, 106830. en_US
dc.identifier.issn 0140-9883 en_US
dc.identifier.issn 1873-6181 en_US
dc.identifier.uri https://doi.org/10.1016/j.eneco.2023.106830 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8507
dc.description.abstract We address the important question of whether the COVID-19 pandemic and the Russia–Ukraine conflict have the same economic impact. Our study focuses on a comparative analysis of the crude oil markets with other energy and non-energy markets in terms of market efficiency and interconnectedness during the two crises. We deploy a novel methodology that utilizes the wavelet decomposition of time series, which facilitates capturing of information in both time and frequency domain, to evaluate the market efficiency. Subsequently, the wavelet coherence, along with a vector-valued GARCH model applied on the wavelet details, help us in quantifying the interconnectedness and spillover dynamics between different markets. Our analysis suggests that the energy sector is impacted more than the non-energy sector in times of both the crises, however the nature of the impact is different for different energy markets. Brent crude oil suffers more during the Russia–Ukraine war than during the pandemic, while natural gas suffers more during the pandemic than the war and WTI suffers equally during both the crises. We also report increased interconnectedness between markets during the pandemic and the war. This information would help investors to choose a safe market and plan their portfolio accordingly in a crisis period. en_US
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject Coherence en_US
dc.subject Efficient market hypothesis en_US
dc.subject Spillover dynamics en_US
dc.subject Volatility spillover en_US
dc.subject Wavelet analysis en_US
dc.subject 2023 en_US
dc.title A wavelet-based methodology to compare the impact of pandemic versus Russia-Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets en_US
dc.type Article en_US
dc.contributor.department Dept. of Mathematics en_US
dc.identifier.sourcetitle Energy Economics en_US
dc.publication.originofpublisher Foreign en_US


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