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DC Field | Value | Language |
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dc.date.accessioned | 2016-11-07T13:15:50Z | - |
dc.date.available | 2016-11-07T13:15:50Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/13666 | - |
dc.description | B.COM.(HONS)BANK.&FIN. | en_GB |
dc.description.abstract | The 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.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Bitcoin | en_GB |
dc.subject | Electronic commerce | en_GB |
dc.subject | Electronic funds transfers | en_GB |
dc.title | An early warning system for Bitcoin prices | en_GB |
dc.type | bachelorThesis | en_GB |
dc.rights.holder | The 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.institution | University of Malta | en_GB |
dc.publisher.department | Faculty of Economics, Management & Accountancy. Department of Banking & Finance | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Saliba, Ian | - |
Appears in Collections: | Dissertations - FacEma - 2016 Dissertations - FacEMABF - 2016 |
Files in This Item:
File | Description | Size | Format | |
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16BBNK038.pdf Restricted Access | 1.92 MB | Adobe PDF | View/Open Request a copy |
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