论文标题
新兴全球加密货币市场的多尺度特征
Multiscale characteristics of the emerging global cryptocurrency market
论文作者
论文摘要
该评论介绍了加密货币的历史,并提供了背后区块链技术的描述。已经显示了加密货币与交易交易所之间的差异。中心部分调查了各种平台上加密货币价格变化的分析。将加密货币市场波动的统计特性与传统市场进行了比较。借助最新的统计物理方法,分析了加密货币市场的非线性相关性和多尺度特征。在最后一部分中,有100个具有最大资本化的加密货币之间的相关结构的共同发展被追溯。还考虑了比特币平台上加密货币网络的详细拓扑。最后,提出和讨论了对Covid-19的大流行对加密货币市场的一项有趣的观察:最近,我们目睹了加密货币的“相过渡”,这是对对冲的机会,即逃离传统市场的投资者,以成为全球市场的一部分,从而实现了传统的金融乐器,例如诸如Currencies,Currencies,Currences,Corcorsoss和Cossoptisies,Corcorsospities,Corversovers,以及商品,商品,以及商品,以及商品,以及商品。 主要的贡献是广泛的证明,即加密货币市场的结构自我组织已导致相同的复杂性特征,而复杂性特征几乎与个人时间序列水平上的外汇市场几乎没有区别。但是,加密货币平台上的汇率之间的互相关与之不同。加密货币市场的同步较少,信息流的速度较慢,这会导致更频繁的套利机会。综述中使用的方法可以检测到后者,并发现铅滞后关系。
The review introduces the history of cryptocurrencies, offering a description of the blockchain technology behind them. Differences between cryptocurrencies and the exchanges on which they are traded have been shown. The central part surveys the analysis of cryptocurrency price changes on various platforms. The statistical properties of the fluctuations in the cryptocurrency market have been compared to the traditional markets. With the help of the latest statistical physics methods the non-linear correlations and multiscale characteristics of the cryptocurrency market are analyzed. In the last part the co-evolution of the correlation structure among the 100 cryptocurrencies having the largest capitalization is retraced. The detailed topology of cryptocurrency network on the Binance platform from bitcoin perspective is also considered. Finally, an interesting observation on the Covid-19 pandemic impact on the cryptocurrency market is presented and discussed: recently we have witnessed a "phase transition" of the cryptocurrencies from being a hedge opportunity for the investors fleeing the traditional markets to become a part of the global market that is substantially coupled to the traditional financial instruments like the currencies, stocks, and commodities. The main contribution is an extensive demonstration that structural self-organization in the cryptocurrency markets has caused the same to attain complexity characteristics that are nearly indistinguishable from the Forex market at the level of individual time-series. However, the cross-correlations between the exchange rates on cryptocurrency platforms differ from it. The cryptocurrency market is less synchronized and the information flows more slowly, which results in more frequent arbitrage opportunities. The methodology used in the review allows the latter to be detected, and lead-lag relationships to be discovered.