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A Statistical Analysis of Cryptocurrencies

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Academic Editor: Charles S. Tapiero
J. Risk Financial Manag. 2017, 10(2), 12; https://doi.org/10.3390/jrfm10020012
Received: 7 April 2017 / Revised: 23 May 2017 / Accepted: 27 May 2017 / Published: 31 May 2017
We 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. View Full-Text
Keywords: exchange rate; distributions; blockchain; Bitcoin exchange rate; distributions; blockchain; Bitcoin
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Chan, S.; Chu, J.; Nadarajah, S.; Osterrieder, J. A Statistical Analysis of Cryptocurrencies. J. Risk Financial Manag. 2017, 10, 12.

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