Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/13666
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2016-11-07T13:15:50Z-
dc.date.available2016-11-07T13:15:50Z-
dc.date.issued2016-
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/13666-
dc.descriptionB.COM.(HONS)BANK.&FIN.en_GB
dc.description.abstractThe purpose of my dissertation is to study the behaviour of Bitcoin Prices by going through all of the main variables which I believe would have an impact on prices. Bitcoin is a cryptocurrency also known as virtual currency since it uses cryptographic mathematical equation to secure transactions automatically. Many believe that Bitcoin is a decentralized virtual currency that is there is no control over it by any central government or entity. In its early days Bitcoin prices were really low not even reaching 1 US dollar in its first few years. Just by observing the graph for Bitcoin prices one can notice that since 2013 prices have exploded reaching their latent later that year. In my dissertation I built two different models using Bitcoin prices as the dependent variable. The first model is the ‘normal period’ where prices have been moving consistently around the mean. The second model is the ‘extreme period’ which is when price have soared up in just a few days. My intention is to compare the two models and spot any differences in the coefficient diagnostic.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectBitcoinen_GB
dc.subjectElectronic commerceen_GB
dc.subjectElectronic funds transfersen_GB
dc.titleAn early warning system for Bitcoin pricesen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Economics, Management & Accountancy. Department of Banking & Financeen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorSaliba, Ian-
Appears in Collections:Dissertations - FacEma - 2016
Dissertations - FacEMABF - 2016

Files in This Item:
File Description SizeFormat 
16BBNK038.pdf
  Restricted Access
1.92 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.