Cryptocurrency Market Consolidation in 2020--2021
arXiv:2112.06552 · doi:10.3390/e23121674
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.
References in corpus (8)
- Fast unfolding of communities in large networks
- Detrended Cross-Correlation Analysis: A New Method for Analyzing Two Non-stationary Time Series
- The inefficiency of Bitcoin revisited: a dynamic approach
- Complexity in economic and social systems: cryptocurrency market at around COVID-19
- The foreign exchange market: return distributions, multifractality, anomalous multifractality and Epps effect
- Signatures of crypto-currency market decoupling from the Forex
- Competition of noise and collectivity in global cryptocurrency trading: route to a self-contained market
- Financial Return Distributions: Past, Present, and COVID-19