Chan, Stephen; Chu, Jeffrey; Nadarajah, Saralees; Osterrieder, Jörg Robert (2017). A statistical analysis of cryptocurrencies Journal of Risk and Financial Management, 10(2), p. 12. MDPI 10.3390/jrfm10020012
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e analyze statistical properties of the largest cryptocurrencies (determined by market capitalization), of which Bitcoin is the most prominent example. We characterize their exchange rates versus the U.S. Dollar by fitting parametric distributions to them. It is shown that returns are clearly non-normal, however, no single distribution fits well jointly to all the cryptocurrencies analysed. We find that for the most popular currencies, such as Bitcoin and Litecoin, the generalized hyperbolic distribution gives the best fit, while for the smaller cryptocurrencies the normal inverse Gaussian distribution, generalized t distribution, and Laplace distribution give good fits. The results are important for investment and risk management purposes
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
Business School > Institute for Applied Data Science & Finance Business School |
Name: |
Chan, Stephen; Chu, Jeffrey; Nadarajah, Saralees and Osterrieder, Jörg Robert  0000-0003-0189-8636 |
Subjects: |
H Social Sciences > HG Finance |
ISSN: |
1911-8066 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Jörg Robert Osterrieder |
Date Deposited: |
29 Aug 2022 14:41 |
Last Modified: |
29 Aug 2022 14:41 |
Publisher DOI: |
10.3390/jrfm10020012 |
Uncontrolled Keywords: |
exchange rate; distributions; blockchain; Bitcoin |
ARBOR DOI: |
10.24451/arbor.17405 |
URI: |
https://arbor.bfh.ch/id/eprint/17405 |
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