ArticleEntropy (Basel, Switzerland)2021
Cryptocurrency Market Consolidation in 2020-2021.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Digital assets: risks, regulations, mitigation.Financial innovation · 2026Article
- Information Theory Quantifiers in Cryptocurrency Time Series Analysis.Entropy (Basel, Switzerland) · 2025Article
- Cryptocurrencies Are Becoming Part of the World Global Financial Market.Entropy (Basel, Switzerland) · 2023Article
- COVID-19 Effects on the Relationship between Cryptocurrencies: Can It Be Contagion? Insights from Econophysics Approaches.Entropy (Basel, Switzerland) · 2023Article
- The impact of COVID-19 pandemic on the dynamic correlations between gold and U.S. equities: evidence from multifractal cross-correlation analysis.Quality & quantity · 2023Article
- Observing Cryptocurrencies through Robust Anomaly Scores.Entropy (Basel, Switzerland) · 2022Article
- Dynamic Linkage between Bitcoin and Traditional Financial Assets: A Comparative Analysis of Different Time Frequencies.Entropy (Basel, Switzerland) · 2022Article
- The Cryptocurrency Market in Transition before and after COVID-19: An Opportunity for Investors?Entropy (Basel, Switzerland) · 2022Article
- Blockchain Technology, Cryptocurrency: Entropy-Based Perspective.Entropy (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time series of price returns for 80 of the most liquid cryptocurrencies listed on Binance are investigated for the presence of detrended cross-correlations. A spectral analysis of the detrended correlation matrix and a topological analysis of the minimal spanning trees calculated based on this matrix are applied for different positions of a moving window. The cryptocurrencies become more strongly cross-correlated among themselves than they used to be before. The average cross-correlations increase with time on a specific time scale in a way that resembles the Epps effect amplification when going from past to present. The minimal spanning trees also change their topology and, for the short time scales, they become more centralized with increasing maximum node degrees, while for the long time scales they become more distributed, but also more correlated at the same time. Apart from the inter-market dependencies, the detrended cross-correlations between the cryptocurrency market and some traditional markets, like the stock markets, commodity markets, and Forex, are also analyzed. The cryptocurrency market shows higher levels of cross-correlations with the other markets during the same turbulent periods, in which it is strongly cross-correlated itself.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.