Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/304064 
Year of Publication: 
2023
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 11 [Issue:] 1 [Article No.:] 2207266 [Year:] 2023 [Pages:] 1-9
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
We explore the taxonomy of cryptocurrencies and integrate our analysis with traditional ways of understanding financial assets. We thus classify cryptocurrencies using the time series and distributional properties of returns. Cryptocurrencies appear inherently speculative in nature. The result is even more clear cut when time series measures of distance are used. Results tally with wider concerns raised regarding excessive volatility of stablecoins.
Subjects: 
Bitcoin
cryptocurrency
fin tech
probability distribution
statistics
time series
JEL: 
C1
G1
G3
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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