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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/61814
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dc.contributor.authorMensi W.-
dc.contributor.otherAl-Yahyaee K.H.-
dc.contributor.otherWanas Al-Jarrah I.M.-
dc.contributor.otherVo X.V.-
dc.contributor.otherKang S.H.-
dc.date.accessioned2021-08-20T14:47:21Z-
dc.date.available2021-08-20T14:47:21Z-
dc.date.issued2021-
dc.identifier.issn1059-0560-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/61814-
dc.description.abstractThis study investigates dynamic frequency connectedness for volatility differences among eight popular cryptocurrencies (Bitcoin, Ethereum, Litecoin, Dash, Monero, Ripple, Nem and Stellar). It employs the methodologies of Diebold and Yilmaz (2014; 2016) and Baruník and Křehlík (2018). Furthermore, an analysis of diversification benefits and downside risk reductions is carried out. The results demonstrated dynamic spillovers, which intensified after 2017. Furthermore, Bitcoin, Ethereum, and Litecoin are net transmitters of risk, which can be a contagion source; Dash, Ripple, Monero, Stellar, and Nem are net receivers of risk. Moreover, the short-term risk spillover is more pronounced than the medium- and long-term risk spillovers, which also increased after 2017. The directional spillovers among cryptocurrencies is sensitive to frequencies. Finally, adding a cryptocurrency to a benchmark Bitcoin portfolio provides diversification benefits and downside risk reductions. In contrast, adding Bitcoin to a cryptocurrency portfolio do not offers diversification opportunities.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherElsevier Inc.-
dc.relation.ispartofInternational Review of Economics & Finance-
dc.relation.ispartofseriesVol. 76-
dc.rightsElsevier Inc.-
dc.subjectConnectedness networken
dc.subjectCryptocurrency marketsen
dc.subjectDiversification analysisen
dc.subjectDynamic spilloversen
dc.subjectFrequency-domain spaceen
dc.titleDoes volatility connectedness across major cryptocurrencies behave the same at different frequencies? A portfolio risk analysisen
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1016/j.iref.2021.05.009-
dc.format.firstpage96-
dc.format.lastpage113-
ueh.JournalRankingScopus-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextOnly abstracts-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:INTERNATIONAL PUBLICATIONS
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