Literature DB >> 32113224

Competition of noise and collectivity in global cryptocurrency trading: Route to a self-contained market.

Stanisław Drożdż1, Ludovico Minati1, Paweł Oświȩcimka1, Marek Stanuszek2, Marcin Wa Torek1.   

Abstract

Cross correlations in fluctuations of the daily exchange rates within the basket of the 100 highest-capitalization cryptocurrencies over the period October 1, 2015-March 31, 2019 are studied. The corresponding dynamics predominantly involve one leading eigenvalue of the correlation matrix, while the others largely coincide with those of Wishart random matrices. However, the magnitude of the principal eigenvalue, and thus the degree of collectivity, strongly depends on which cryptocurrency is used as a base. It is largest when the base is the most peripheral cryptocurrency; when more significant ones are taken into consideration, its magnitude systematically decreases, nevertheless preserving a sizable gap with respect to the random bulk, which in turn indicates that the organization of correlations becomes more heterogeneous. This finding provides a criterion for recognizing which currencies or cryptocurrencies play a dominant role in the global cryptomarket. The present study shows that over the period under consideration, the Bitcoin (BTC) predominates, hallmarking exchange rate dynamics at least as influential as the U.S. dollar (USD). Even more, the BTC started dominating around the year 2017, while other cryptocurrencies, such as the Ethereum and even Ripple, assumed similar trends. At the same time, the USD, an original value determinant for the cryptocurrency market, became increasingly disconnected, and its related characteristics eventually started approaching those of a fictitious currency. These results are strong indicators of incipient independence of the global cryptocurrency market, delineating a self-contained trade resembling the Forex.

Year:  2020        PMID: 32113224     DOI: 10.1063/1.5139634

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  10 in total

1.  Asymmetric efficiency of cryptocurrencies during COVID19.

Authors:  Muhammad Abubakr Naeem; Elie Bouri; Zhe Peng; Syed Jawad Hussain Shahzad; Xuan Vinh Vo
Journal:  Physica A       Date:  2020-11-27       Impact factor: 3.778

2.  The Role of Entropy in the Development of Economics.

Authors:  Aleksander Jakimowicz
Journal:  Entropy (Basel)       Date:  2020-04-16       Impact factor: 2.524

3.  Complexity in Economic and Social Systems: Cryptocurrency Market at around COVID-19.

Authors:  Stanisław Drożdż; Jarosław Kwapień; Paweł Oświęcimka; Tomasz Stanisz; Marcin Wątorek
Journal:  Entropy (Basel)       Date:  2020-09-18       Impact factor: 2.524

4.  Network Analysis of Multivariate Transfer Entropy of Cryptocurrencies in Times of Turbulence.

Authors:  Andrés García-Medina; José B Hernández C
Journal:  Entropy (Basel)       Date:  2020-07-11       Impact factor: 2.524

5.  Association between COVID-19 cases and international equity indices.

Authors:  Nick James; Max Menzies
Journal:  Physica D       Date:  2020-12-23       Impact factor: 2.300

6.  Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time.

Authors:  Nick James; Max Menzies
Journal:  Nonlinear Dyn       Date:  2022-01-03       Impact factor: 5.741

7.  High frequency multiscale relationships among major cryptocurrencies: portfolio management implications.

Authors:  Walid Mensi; Mobeen Ur Rehman; Muhammad Shafiullah; Khamis Hamed Al-Yahyaee; Ahmet Sensoy
Journal:  Financ Innov       Date:  2021-09-13

8.  Testing macroecological theories in cryptocurrency market: neutral models cannot describe diversity patterns and their variation.

Authors:  Edgardo Brigatti; Estevan Augusto Amazonas Mendes
Journal:  R Soc Open Sci       Date:  2022-04-13       Impact factor: 3.653

9.  Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19.

Authors:  Nick James; Max Menzies; Jennifer Chan
Journal:  Physica A       Date:  2020-11-25       Impact factor: 3.778

10.  Cryptocurrency Market Consolidation in 2020-2021.

Authors:  Jarosław Kwapień; Marcin Wątorek; Stanisław Drożdż
Journal:  Entropy (Basel)       Date:  2021-12-13       Impact factor: 2.524

  10 in total

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