High volatility detection method using statistical process control for cryptocurrency exchange rate: a case study of bitcoin
Cryptocurrency is a digital currency designed to work as a medium of exchange using cryptography to secure the transactions, to control the creation of additional units, and to verify the transfer of assets. The objective of this study is to evaluate the volatility condition for cryptocurrency (Bitc...
| Asıl Yazarlar: | , |
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| Materyal Türü: | Makale |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | https://repo.uum.edu.my/id/eprint/26303/1/IJES%206%2011%202017%2039%2048.pdf |
| _version_ | 1825805449497149440 |
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| author | Abu Bakar, Nashirah Rosbi, Sofian |
| author_facet | Abu Bakar, Nashirah Rosbi, Sofian |
| author_sort | Abu Bakar, Nashirah |
| collection | UUM |
| description | Cryptocurrency is a digital currency designed to work as a medium of exchange using cryptography to secure the transactions, to control the creation of additional units, and to verify the transfer of assets. The objective of this study is to evaluate the volatility condition for cryptocurrency (Bitcoin) exchange rate and return. Volatility
calculated as standard deviation of logarithmic returns. This study performed normality test using Shapiro-Wilk method. Then, the high volatility detection performed using box-whisker plot and statistical process control chart. In descriptive statistical analysis, the mean for Bitcoin return is 0.006 and the deviation is 0.04458. The
standard error indicates the volatility for Bitcoin is 4.458 %. This value is considered as high value of volatility.High value of volatility indicates the investment in Bitcoin is categorical as high risk investment. The important of this study is to assist investors to develop better investment portfolio in targeting better profit and lowering the loss |
| first_indexed | 2024-07-04T06:32:29Z |
| format | Article |
| id | uum-26303 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:32:29Z |
| publishDate | 2017 |
| record_format | eprints |
| spelling | uum-263032019-08-13T07:51:18Z https://repo.uum.edu.my/id/eprint/26303/ High volatility detection method using statistical process control for cryptocurrency exchange rate: a case study of bitcoin Abu Bakar, Nashirah Rosbi, Sofian HG Finance Cryptocurrency is a digital currency designed to work as a medium of exchange using cryptography to secure the transactions, to control the creation of additional units, and to verify the transfer of assets. The objective of this study is to evaluate the volatility condition for cryptocurrency (Bitcoin) exchange rate and return. Volatility calculated as standard deviation of logarithmic returns. This study performed normality test using Shapiro-Wilk method. Then, the high volatility detection performed using box-whisker plot and statistical process control chart. In descriptive statistical analysis, the mean for Bitcoin return is 0.006 and the deviation is 0.04458. The standard error indicates the volatility for Bitcoin is 4.458 %. This value is considered as high value of volatility.High value of volatility indicates the investment in Bitcoin is categorical as high risk investment. The important of this study is to assist investors to develop better investment portfolio in targeting better profit and lowering the loss 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/26303/1/IJES%206%2011%202017%2039%2048.pdf Abu Bakar, Nashirah and Rosbi, Sofian (2017) High volatility detection method using statistical process control for cryptocurrency exchange rate: a case study of bitcoin. The International Journal of Engineering and Science (IJES), 6 (11). pp. 39-48. ISSN 2319-1805 http://www.theijes.com/Vol,6,Issue,11.html |
| spellingShingle | HG Finance Abu Bakar, Nashirah Rosbi, Sofian High volatility detection method using statistical process control for cryptocurrency exchange rate: a case study of bitcoin |
| title | High volatility detection method using statistical process control for cryptocurrency exchange rate:
a case study of bitcoin |
| title_full | High volatility detection method using statistical process control for cryptocurrency exchange rate:
a case study of bitcoin |
| title_fullStr | High volatility detection method using statistical process control for cryptocurrency exchange rate:
a case study of bitcoin |
| title_full_unstemmed | High volatility detection method using statistical process control for cryptocurrency exchange rate:
a case study of bitcoin |
| title_short | High volatility detection method using statistical process control for cryptocurrency exchange rate:
a case study of bitcoin |
| title_sort | high volatility detection method using statistical process control for cryptocurrency exchange rate a case study of bitcoin |
| topic | HG Finance |
| url | https://repo.uum.edu.my/id/eprint/26303/1/IJES%206%2011%202017%2039%2048.pdf |
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