Audi, Jasman (2020) Bitcoin performance and its volatility. Masters thesis, Universiti Utara Malaysia.
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Abstract
Bitcoin is recognised as digital currency which uses Blockchain technology to create new unit via Bitcoin “mining”, without compromise its security and safety during pre and post-transaction. Bitcoin officially traded in 2013, since then it reached a market capitalization of more than one million U.S. Dollar. Thus, this research aims to identify the factors that determine the Bitcoin price performance. The dataset used on secondary data (time-series) from January 2010 to December 2019. The analysis based on E-views and SPSS software to do the diagnostic test, regression test, correlation test and autocorrelation test. There are five macroeconomic and Bitcoin-specific factors namely Bitcoin Supply (BS), Gold Price (GP), Internet Interest (GS), Dow Jones Industrial Average (DJIA) and Oil Price (OP) tested in this research. The finding of this research show the BS has the strongest and significant relationship with Bitcoin price performance. The finding of this research also exhibits other macroeconomic and Bitcoin-specific factors such as the GP, OP, GS and DJIA are still significant and has a strong relationship with Bitcoin price performance. As a result, the finding of this research provides implication for the investor, regulator, and public in term of identifying the significant factor that is associated with the Bitcoin price performance. Besides, policymakers might employ the findings related to Bitcoin price performance to recognise the important roles play by macroeconomic and Bitcoin-specific factor to Bitcoin price performance.
Item Type: | Thesis (Masters) |
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Supervisor : | Mat Nor, Alias |
Item ID: | 10053 |
Uncontrolled Keywords: | Bitcoin, digital currency, macroeconomic factors |
Subjects: | H Social Sciences > HF Commerce. > HF1-6182 Commerce H Social Sciences > HG Finance T Technology > T Technology (General) |
Divisions: | Othman Yeop Abdullah Graduate School of Business |
Date Deposited: | 21 Nov 2022 04:12 |
Last Modified: | 21 Nov 2022 04:12 |
Department: | Othman Yeop Abdullah Graduate School of Business |
Name: | Mat Nor, Alias |
URI: | https://etd.uum.edu.my/id/eprint/10053 |