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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/63832
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dc.contributor.authorZaghum Umar-
dc.contributor.otherMariya Gubareva-
dc.contributor.otherTamara Teplova-
dc.contributor.otherTran Dang Khoa-
dc.date.accessioned2022-06-29T02:31:26Z-
dc.date.available2022-06-29T02:31:26Z-
dc.date.issued2022-
dc.identifier.issn1544-6123-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/63832-
dc.description.abstractNon-fungible tokens (NFTs) revolutionize crypto-landscape, becoming popular among investors and general public. This first-ever study of coherence between returns of NFTs and major assets employs the wavelet approach. The pairwise returns coherence between the considered markets grows throughout the Covid-19. Before the pandemic, NFTs lag behind stocks (2017) and bitcoin (2018), while lead gold (2018). We reveal that the returns coherence between NFTs and other assets is high/low for the two-week-plus/below-to-weeks investment horizons. We refine Aharon and Demir´s (2021) findings stating that NFTs absorbed risk during Covid-19 by demonstrating that this conclusion holds only in the short-run for below-two-weeks horizons.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.relation.ispartofFinance Research Letters-
dc.relation.ispartofseriesVol. 47, Part B-
dc.rightsElsevier Inc.-
dc.subjectReturn connectednessen
dc.subjectCovid-19en
dc.subjectNon-Fungible Tokensen
dc.subjectSpilloveren
dc.titleCovid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysisen
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1016/j.frl.2022.102725-
ueh.JournalRankingScopus-
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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