Abstract

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.

Details

Title
Age and market capitalization drive large price variations of cryptocurrencies
Author
Pessa, Arthur A. B. 1 ; Perc, Matjaž 2 ; Ribeiro, Haroldo V. 1 

 Universidade Estadual de Maringá, Departamento de Física, Maringá, Brazil (GRID:grid.271762.7) (ISNI:0000 0001 2116 9989) 
 University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, Slovenia (GRID:grid.8647.d) (ISNI:0000 0004 0637 0731); China Medical University, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan (GRID:grid.254145.3) (ISNI:0000 0001 0083 6092); Alma Mater Europaea, Maribor, Slovenia (GRID:grid.445209.e) (ISNI:0000 0004 5375 595X); Complexity Science Hub Vienna, Vienna, Austria (GRID:grid.484678.1); Kyung Hee University, Department of Physics, Seoul, Republic of Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
Pages
3351
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2792812488
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.