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.
翻译:在Binance上列出的80种最液态加密中,80种最液态加密物的物价回报时间序列是为了存在分解的交叉关系而调查的。对分解相关关系矩阵的光谱分析和根据这个矩阵计算的最低横贯树木的地形分析,适用于一个移动窗口的不同位置。在它们之间,加密物价的相互关联比以前更为强烈。在特定时间尺度上,与时间尺度上的时间平均交叉关系增加,其方式类似于从过去到现在的Epp效应放大。最小的横贯树木也改变其地形学,在短时间尺度上,它们变得更加集中,增加最大节度,而在很长的时间尺度上,它们变得更加分散,同时也更加相关。除了市场之间的相互依存关系外,对内嵌货币市场与某些传统市场(如股票市场、商品市场和福克斯利克斯等)之间的相互关联性平均增加。对内嵌货币市场本身的高度动荡期也进行了分析。在与其他市场之间的高度动荡期中,对内嵌货币市场本身具有高度的相互关系。