High-frequency return and volatility spillovers among cryptocurrencies

buir.contributor.authorŞensoy, Ahmet
dc.citation.epage4328en_US
dc.citation.issueNumber37en_US
dc.citation.spage4310en_US
dc.citation.volumeNumber53en_US
dc.contributor.authorŞensoy, Ahmet
dc.contributor.authorSilva, T. C.
dc.contributor.authorCorbet, S.
dc.contributor.authorTabak, B. M.
dc.date.accessioned2022-02-15T06:33:28Z
dc.date.available2022-02-15T06:33:28Z
dc.date.issued2021-03-22
dc.departmentDepartment of Managementen_US
dc.description.abstractWe examine the high-frequency return and volatility of major cryptocurrencies and reveal that spillovers among them exist. Our analysis shows that return and volatility clustering structures are distinct among different cryptocurrencies, suggesting that return and volatility might have different spillover patterns. Further investigation via minimal spanning trees points out that BTC, LTC and ETH are the most relevant cryptocurrencies in general, serving as connection hubs for linking many other cryptocurrencies. However, their role is challenged lately, potentially due to the increased usage of other cryptocurrencies in time.en_US
dc.description.provenanceSubmitted by Mustafa Er (mer@bilkent.edu.tr) on 2022-02-15T06:33:28Z No. of bitstreams: 1 High-frequency_return_and_volatility_spillovers_among_cryptocurrencies.pdf: 5642086 bytes, checksum: 09679292d9a9ab0209dbf4b58fdce4f1 (MD5)en
dc.description.provenanceMade available in DSpace on 2022-02-15T06:33:28Z (GMT). No. of bitstreams: 1 High-frequency_return_and_volatility_spillovers_among_cryptocurrencies.pdf: 5642086 bytes, checksum: 09679292d9a9ab0209dbf4b58fdce4f1 (MD5) Previous issue date: 2021-03-22en
dc.identifier.doi10.1080/00036846.2021.1899119en_US
dc.identifier.eissn1466-4283
dc.identifier.issn0003-6846
dc.identifier.urihttp://hdl.handle.net/11693/77345
dc.language.isoEnglishen_US
dc.publisherRoutledgeen_US
dc.relation.isversionofhttps://doi.org/10.1080/00036846.2021.1899119en_US
dc.source.titleApplied Economicsen_US
dc.subjectCryptocurrencyen_US
dc.subjectBitcoinen_US
dc.subjectNetworken_US
dc.subjectSpilloveren_US
dc.subjectMinimal spanning treeen_US
dc.subjectHierarchical clusteringen_US
dc.subjectMachine learningen_US
dc.titleHigh-frequency return and volatility spillovers among cryptocurrenciesen_US
dc.typeArticleen_US

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