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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/70166
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dc.contributor.authorMuhammad Abubakr Naeem-
dc.contributor.otherSitara Karim-
dc.contributor.otherLarisa Yarovaya-
dc.contributor.otherBrian M. Lucey-
dc.date.accessioned2023-11-29T08:44:30Z-
dc.date.available2023-11-29T08:44:30Z-
dc.date.issued2023-
dc.identifier.issn0140-9883-
dc.identifier.urihttps://digital.lib.ueh.edu.vn/handle/UEH/70166-
dc.description.abstractDid Covid19 induce market turmoil impact the intraday volatility spillovers between energy and other ETFs?. To examine this, we first estimate the realized volatility of ETFs using the 5-min high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR). Finally, we utilize the wavelet coherence measure to test the time-frequency impact of COVID-induced sentiment on the spillovers by employing investors' psychological and behavioural factors. We find that oil and stock markets are net transmitters while currency, bonds, and silver markets are net receivers. The wavelet analysis embarked significant impact of media coverage and fake news index towards shaping investors' pessimism for their investments. We proposed useful implications for policymakers, governments, investors, and portfolio managers.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherElsevier-
dc.relation.ispartofENERGY ECONOMICS-
dc.relation.ispartofseriesVol. 122-
dc.rightsElsevier-
dc.subjectCOVID-19en
dc.subjectIntraday volatilityen
dc.subjectTVP-VARen
dc.subjectUS ETFsen
dc.subjectWavelet analysisen
dc.titleCOVID-induced sentiment and the intraday volatility spillovers between energy and other ETFsen
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1016/j.eneco.2023.106677-
ueh.JournalRankingISI, Scopus-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextOnly abstracts-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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