Towards a taxonomy for crypto assets

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.

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Year of publication:	2023
Authors:	Fry, John ; Ibiloye, Olamide
Published in:	Cogent Economics & Finance. - ISSN 2332-2039. - Vol. 11.2023, 1, p. 1-9
Publisher:	Abingdon : Taylor & Francis
Subject:	Bitcoin \| cryptocurrency \| fin tech \| probability distribution \| statistics \| time series

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.1080/23322039.2023.2207266 [DOI] 1884453295 [GVK] RePEc:taf:oaefxx:v:11:y:2023:i:1:p:2207266 [RePEc]
Classification:	C1 - Econometric and Statistical Methods: General ; G1 - General Financial Markets ; G3 - Corporate Finance and Governance
Source:	EconStor

Persistent link: https://www.econbiz.de/10015074923