Bitcoin performance and its volatility
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....
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | eng eng eng |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://etd.uum.edu.my/10053/1/s822709_01.pdf https://etd.uum.edu.my/10053/2/s822709_02.pdf https://etd.uum.edu.my/10053/3/s822709_references.docx |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-uum-etd.10053 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-uum-etd.100532023-10-15T07:24:58Z Bitcoin performance and its volatility 2020 Audi, Jasman Mat Nor, Alias Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HF1-6182 Commerce HG Finance T Technology (General) 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. 2020 Thesis https://etd.uum.edu.my/10053/ https://etd.uum.edu.my/10053/1/s822709_01.pdf text eng public https://etd.uum.edu.my/10053/2/s822709_02.pdf text eng public https://etd.uum.edu.my/10053/3/s822709_references.docx text eng public other masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng eng |
| advisor |
Mat Nor, Alias |
| topic |
HF1-6182 Commerce HG Finance T Technology (General) |
| spellingShingle |
HF1-6182 Commerce HG Finance T Technology (General) Audi, Jasman Bitcoin performance and its volatility |
| description |
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. |
| format |
Thesis |
| qualification_name |
other |
| qualification_level |
Master's degree |
| author |
Audi, Jasman |
| author_facet |
Audi, Jasman |
| author_sort |
Audi, Jasman |
| title |
Bitcoin performance and its volatility |
| title_short |
Bitcoin performance and its volatility |
| title_full |
Bitcoin performance and its volatility |
| title_fullStr |
Bitcoin performance and its volatility |
| title_full_unstemmed |
Bitcoin performance and its volatility |
| title_sort |
bitcoin performance and its volatility |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
Othman Yeop Abdullah Graduate School of Business |
| publishDate |
2020 |
| url |
https://etd.uum.edu.my/10053/1/s822709_01.pdf https://etd.uum.edu.my/10053/2/s822709_02.pdf https://etd.uum.edu.my/10053/3/s822709_references.docx |
| _version_ |
1783729390084947968 |