Age and market capitalization drive large price variations of cryptocurrencies.

Autor: Pessa AAB; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil., Perc M; Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan. matjaz.perc@gmail.com.; Alma Mater Europaea, Slovenska ulica 17, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Complexity Science Hub Vienna, Josefstädterstraße 39, 1080, Vienna, Austria. matjaz.perc@gmail.com.; Department of Physics, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea. matjaz.perc@gmail.com., Ribeiro HV; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil. hvr@dfi.uem.br.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Mar 30; Vol. 13 (1), pp. 3351. Date of Electronic Publication: 2023 Mar 30.
DOI: 10.1038/s41598-023-30431-3
Abstrakt: Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets has also motivated a myriad of scientific investigations focused on understanding their statistical properties, such as the distribution of price returns. However, research so far has only considered Bitcoin or at most a few cryptocurrencies, whilst ignoring that price returns might depend on cryptocurrency age or be influenced by market capitalization. Here, we therefore present a comprehensive investigation of large price variations for more than seven thousand digital currencies and explore whether price returns change with the coming-of-age and growth of the cryptocurrency market. We find that tail distributions of price returns follow power-law functions over the entire history of the considered cryptocurrency portfolio, with typical exponents implying the absence of characteristic scales for price variations in about half of them. Moreover, these tail distributions are asymmetric as positive returns more often display smaller exponents, indicating that large positive price variations are more likely than negative ones. Our results further reveal that changes in the tail exponents are very often simultaneously related to cryptocurrency age and market capitalization or only to age, with only a minority of cryptoassets being affected just by market capitalization or neither of the two quantities. Lastly, we find that the trends in power-law exponents usually point to mixed directions, and that large price variations are likely to become less frequent only in about 28% of the cryptocurrencies as they age and grow in market capitalization.
(© 2023. The Author(s).)
Databáze: MEDLINE
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