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The evolution of the cryptocurrencies market: A complex networks approach

机译:加密货币市场的演变:复杂的网络方法

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摘要

In this paper, the price synchronization in the cryptocurrencies market is investigated, using descriptive metrics and a novel methodology both from the area of Complex Networks. The study is conducted for three consecutive years, 2016-2018. In doing so, the cross-correlation-based networks of the cryptocurrencies under examination are created and subsequently their properties for each year are analyzed and compared. The novel Threshold Weighted-Minimum Dominating Set (TW-MDS) methodology is employed in order to identify the so-called dominant cryptocurrencies for each year. In this framework, a node is identified as dominant when it can adequately describe the collective behavior of its relevant neighborhood. The empirical results provide strong evidence of an increased price synchronization. One interesting finding is that, contrary to what may be expected, the cryptocurrencies that are identified as dominant are not always the most popular that are usually the ones with the highest capitalization (such as Bitcoin or Ethereum). (C) 2020 Elsevier B.V. All rights reserved.
机译:在本文中,使用来自复杂网络区域的描述性指标和新的方法来研究加密货币市场的价格同步。该研究是连续三年进行的,2016 - 2018年。在这样做时,在检查中,在考试中的互相关基网络进行分析并进行比较它们每年的性质。采用新型阈值加权 - 最小主导集合(TW-MDS)方法,以便每年识别所谓的显性加密货币。在该框架中,当可以充分描述其相关街区的集体行为时,节点被识别为主导。经验结果提供了提高价格同步的强有力证据。一个有趣的发现是,与可能预期的相反,被确定为主导的加密货币并不总是最受流行的最受欢迎,通常是具有最高资本化的(例如比特币或者以ethereum)。 (c)2020 Elsevier B.v.保留所有权利。

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