Collective behavior of cryptocurrency price changes

Digital assets termed cryptocurrencies are correlated. We analyze cross correlations between price changes of different cryptocurrencies using methods of random matrix theory and minimum spanning trees. We find that the cross correlation matrix exhibits non-trivial hierarchical structures and groupi...

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Published inPhysica A Vol. 507; pp. 499 - 509
Main Authors Stosic, Darko, Stosic, Dusan, Ludermir, Teresa B., Stosic, Tatijana
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.10.2018
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ISSN0378-4371
1873-2119
DOI10.1016/j.physa.2018.05.050

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Abstract Digital assets termed cryptocurrencies are correlated. We analyze cross correlations between price changes of different cryptocurrencies using methods of random matrix theory and minimum spanning trees. We find that the cross correlation matrix exhibits non-trivial hierarchical structures and groupings of cryptocurrency pairs, which are not present in the partial cross correlations. In sharp contrast to the predictions for other financial markets, we discover that most of the eigenvalues in the spectrum of the cross correlation matrix do not agree with the universal predictions of random matrix theory, but the few of the largest eigenvalues deviate as expected. The minimum spanning tree of cryptocurrency cross correlations reveals distinct community structures that are surprisingly stable. Collective behaviors that are present in the cryptocurrency market can be useful for the construction of portfolio of cryptocurrencies as well as for future research on the subject. •We analyze cross correlations between price changes of different cryptocurrencies.•They exhibit non-trivial groupings not present in the partial cross correlations.•Most eigenvalues do not agree with the universal predictions of random matrix theory.•We discover rather distinct community structures in their minimum spanning trees.•Collective behaviors in cryptocurrency market differ from other financial markets.
AbstractList Digital assets termed cryptocurrencies are correlated. We analyze cross correlations between price changes of different cryptocurrencies using methods of random matrix theory and minimum spanning trees. We find that the cross correlation matrix exhibits non-trivial hierarchical structures and groupings of cryptocurrency pairs, which are not present in the partial cross correlations. In sharp contrast to the predictions for other financial markets, we discover that most of the eigenvalues in the spectrum of the cross correlation matrix do not agree with the universal predictions of random matrix theory, but the few of the largest eigenvalues deviate as expected. The minimum spanning tree of cryptocurrency cross correlations reveals distinct community structures that are surprisingly stable. Collective behaviors that are present in the cryptocurrency market can be useful for the construction of portfolio of cryptocurrencies as well as for future research on the subject. •We analyze cross correlations between price changes of different cryptocurrencies.•They exhibit non-trivial groupings not present in the partial cross correlations.•Most eigenvalues do not agree with the universal predictions of random matrix theory.•We discover rather distinct community structures in their minimum spanning trees.•Collective behaviors in cryptocurrency market differ from other financial markets.
Author Stosic, Tatijana
Stosic, Dusan
Stosic, Darko
Ludermir, Teresa B.
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Keywords Cryptocurrencies
Random matrix theory
Correlation matrix
Partial correlation matrix
Minimum spanning tree
Bitcoin
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Snippet Digital assets termed cryptocurrencies are correlated. We analyze cross correlations between price changes of different cryptocurrencies using methods of...
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StartPage 499
SubjectTerms Bitcoin
Correlation matrix
Cryptocurrencies
Minimum spanning tree
Partial correlation matrix
Random matrix theory
Title Collective behavior of cryptocurrency price changes
URI https://dx.doi.org/10.1016/j.physa.2018.05.050
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