Towards a taxonomy for crypto assets

John Fry and Olamide Ibiloye

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. - Abingdon : Taylor & Francis, ISSN 2332-2039, ZDB-ID 2773198-4. - Vol. 11.2023, 1, Art.-No. 2207266, p. 1-9
Subject:	Bitcoin \| cryptocurrency \| fin tech \| probability distribution \| statistics \| time series \| Virtuelle Währung \| Virtual currency \| Zeitreihenanalyse \| Time series analysis \| Klassifikation \| Classification \| Blockchain

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1080/23322039.2023.2207266 [DOI] hdl:10419/304064 [Handle]
Classification:	C1 - Econometric and Statistical Methods: General ; G1 - General Financial Markets ; G3 - Corporate Finance and Governance
Source:	ECONIS - Online Catalogue of the ZBW

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