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dc.contributor.authorVigne, Samuel
dc.contributor.authorDemir, Ender
dc.contributor.authorGozgor, Giray
dc.contributor.authorLau, Marco Chi Keung
dc.date.accessioned2020-04-01T11:55:34Z
dc.date.available2020-04-01T11:55:34Z
dc.date.issued2018
dc.date.submitted2018en
dc.identifier.citationDemir, E., Gozgor, G., Lau, C.K.M. & Vigne, S.A., Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation, Finance Research Letters, 26, 2018, 145 - 149en
dc.identifier.issn15446123
dc.identifier.otherY
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S1544612318300126?via%3Dihub
dc.identifier.urihttp://hdl.handle.net/2262/92139
dc.descriptionPUBLISHEDen
dc.description.abstractThis paper analyzes the prediction power of the economic policy uncertainty (EPU) index on the daily Bitcoin returns. Using the Bayesian Graphical Structural Vector Autoregressive model as well as the Ordinary Least Squares and the Quantile-on-Quantile Regression estimations, the paper finds that the EPU has a predictive power on Bitcoin returns. Fundamentally, Bitcoin returns are negatively associated with the EPU. However, the effect is positive and significant at both lower and higher quantiles of Bitcoin returns and the EPU. In the light of these findings, the paper concludes that Bitcoin can serve as a hedging tool against uncertainty.en
dc.format.extent145en
dc.format.extent149en
dc.language.isoenen
dc.relation.ispartofseriesFinance Research Letters;
dc.relation.ispartofseries26;
dc.rightsYen
dc.subjectBitcoinen
dc.subjectCryptocurrenciesen
dc.subjectEconomic policy uncertaintyen
dc.subjectBayesian graphical modelen
dc.subjectStructural vector autoregressiveen
dc.subjectQuantile-on-quantile regressionen
dc.titleDoes economic policy uncertainty predict the Bitcoin returns? An empirical investigationen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/svigne
dc.identifier.rssinternalid205863
dc.identifier.doihttp://dx.doi.org/10.1016/j.frl.2018.01.005
dc.rights.ecaccessrightsopenAccess


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