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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/61736
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dc.contributor.authorNaeem M.A.-
dc.contributor.otherMbarki I.-
dc.contributor.otherSuleman M.T.-
dc.contributor.otherVo X.V.-
dc.contributor.otherShahzad S.J.H.-
dc.date.accessioned2021-08-20T12:57:19Z-
dc.date.available2021-08-20T12:57:19Z-
dc.date.issued2020-
dc.identifier.issn1369412X-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/61736-
dc.description.abstractWe examine the predictive ability of Twitter Happiness Sentiment for six major cryptocurrencies using daily data from August 7, 2015 to December 31, 2019. At first instance, our results conclude a significant nonlinear relationship between Twitter Happiness Sentiment and cryptocurrencies. The nonlinear dependence structure is further enhanced when using the quantile-on-quantile (QQ) analysis, which indicates that high and low sentiment predicts returns of five cryptocurrencies. These findings are statistically and economically significant.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherWiley-Blackwell-
dc.relation.ispartofInternational Review of Finance-
dc.rightsInternational Review of Finance Ltd.-
dc.subjectCryptocurrenciesen
dc.subjectlInear and nonlinear Granger causalityen
dc.subjectQuantile-on-quantileen
dc.subjectTwitter Happiness Sentimenten
dc.titleDoes Twitter happiness sentiment predict cryptocurrency?en
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1111/irfi.12339-
ueh.JournalRankingScopus-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextOnly abstracts-
item.openairetypeJournal Article-
item.languageiso639-1en-
Appears in Collections:INTERNATIONAL PUBLICATIONS
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