Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17208
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dc.contributor.authorCaporale, GM-
dc.contributor.authorPlastun, A-
dc.date.accessioned2018-12-11T15:06:37Z-
dc.date.available2018-12-17-
dc.date.available2018-12-11T15:06:37Z-
dc.date.issued2018-
dc.identifier.citationFinance Research Letters, 2018en_US
dc.identifier.issn1544-6123-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/17208-
dc.description.abstractThis paper examines the day of the week effect in the cryptocurrency market using a variety of statistical techniques (average analysis, Student's t-test, ANOVA, the Kruskal–Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach. Most crypto currencies (LiteCoin, Ripple, Dash) are found not to exhibit this anomaly. The only exception is BitCoin, for which returns on Mondays are significantly higher than those on the other days of the week. In this case the trading simulation analysis shows that there exist exploitable profit opportunities; however, most of these results are not significantly different from the random ones and therefore cannot be seen as conclusive evidence against market efficiency.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEfficient Market Hypothesisen_US
dc.subjectDay of the week effecten_US
dc.subjectCryptocurrencyen_US
dc.subjectBitcoinen_US
dc.subjectAnomalyen_US
dc.subjectTrading strategyen_US
dc.titleThe day of the week effect in the cryptocurrency marketen_US
dc.typeArticleen_US
dc.relation.isPartOfFinance Research Letters-
pubs.publication-statusAccepted-
Appears in Collections:Dept of Economics and Finance Research Papers

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