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国际汇率信息流网络与货币影响

Information Flow Network of International Exchange Rates and Influence of Currencies.

作者信息

Cao Hongduo, Lin Fan, Li Ying, Wu Yiming

机构信息

Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China.

出版信息

Entropy (Basel). 2021 Dec 18;23(12):1696. doi: 10.3390/e23121696.

Abstract

The main purpose of the study is to investigate how price fluctuations of a sovereign currency are transmitted among currencies and what network traits and currency relationships are formed in this process under the background of economic globalization. As a universal equivalent, currency with naturally owned network attributes has not been paid enough attention by the traditional exchange rate determination theories because of their overemphasis of the attribute of value measurement. Considering the network attribute of currency, the characteristics of the information flow network of exchange rate are extracted and analyzed in order to research the impact they have on each other among currencies. The information flow correlation network between currencies is researched from 2007 to 2019 based on data from 30 currencies. A transfer entropy is used to measure the nonlinear information flow between currencies, and complex network indexes such as average shortest path and aggregation coefficient are used to analyze the macroscopic topology characteristics and key nodes of information flow-associated network. It was found that there may be strong information exchange between currencies when the overall market price fluctuates violently. Commodity currencies and currencies of major countries have great influence in the network, and local fluctuations may result in increased risks in the overall exchange rate market. Therefore, it is necessary to monitor exchange rate fluctuations of relevant currencies in order to prevent risks in advance. The network characteristics and evolution of major currencies are revealed, and the influence of a currency in the international money market can be evaluated based on the characteristics of the network. The world monetary system is developing towards diversification, and the currency of developing countries is becoming more and more important. Taking CNY as an example, it was found that the international influence of CNY has increased, although without advantage over other major international currencies since 2015, and this trend continues even if there are trade frictions between China and the United States.

摘要

本研究的主要目的是探讨主权货币的价格波动如何在货币之间传导,以及在经济全球化背景下,这一过程中会形成怎样的网络特征和货币关系。货币作为一种通用等价物,天然具有网络属性,但传统汇率决定理论因其过于强调价值衡量属性,而对其网络属性关注不足。考虑到货币的网络属性,提取并分析汇率信息流网络的特征,以研究货币之间的相互影响。基于30种货币的数据,研究了2007年至2019年货币之间的信息流关联网络。使用转移熵来衡量货币之间的非线性信息流,并使用平均最短路径和聚集系数等复杂网络指标来分析信息流关联网络的宏观拓扑特征和关键节点。研究发现,当整体市场价格剧烈波动时,货币之间可能存在强烈的信息交换。商品货币和主要国家的货币在网络中影响力较大,局部波动可能导致整体汇率市场风险增加。因此,有必要监测相关货币的汇率波动,以便提前防范风险。揭示了主要货币的网络特征和演变,并可根据网络特征评估一种货币在国际货币市场中的影响力。世界货币体系正朝着多元化发展,发展中国家的货币变得越来越重要。以人民币为例,研究发现人民币的国际影响力有所增加,尽管自2015年以来相对于其他主要国际货币并无优势,而且即使中美之间存在贸易摩擦,这一趋势仍在持续。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3483/8700969/c386645b06e6/entropy-23-01696-g001.jpg

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