{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T18:25:43Z","timestamp":1768587943344,"version":"3.49.0"},"reference-count":40,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,12,18]],"date-time":"2021-12-18T00:00:00Z","timestamp":1639785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71371200"],"award-info":[{"award-number":["71371200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71071167"],"award-info":[{"award-number":["71071167"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/e23121696","type":"journal-article","created":{"date-parts":[[2021,12,19]],"date-time":"2021-12-19T20:37:27Z","timestamp":1639946247000},"page":"1696","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Information Flow Network of International Exchange Rates and Influence of Currencies"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2178-6551","authenticated-orcid":false,"given":"Hongduo","family":"Cao","sequence":"first","affiliation":[{"name":"Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Lin","sequence":"additional","affiliation":[{"name":"Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Wu","sequence":"additional","affiliation":[{"name":"Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1257\/jel.51.4.1063","article-title":"Exchange Rate Predictability","volume":"51","author":"Rossi","year":"2013","journal-title":"J. Econ. Lit."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2391","DOI":"10.1257\/aer.101.6.2391","article-title":"Aggregation and the PPP Puzzle in a Sticky-price Model","volume":"101","author":"Carvalho","year":"2011","journal-title":"Am. Econ. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1111\/jofi.12620","article-title":"Deviations from Covered Interest Rate Parity","volume":"73","author":"Du","year":"2018","journal-title":"J. Financ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.jinteco.2008.11.001","article-title":"Out-of-sample Exchange Rate Predictability with Taylor Rule Fundamentals","volume":"77","author":"Molodtsova","year":"2009","journal-title":"J. Int. Econ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"65","DOI":"10.2307\/3872492","article-title":"Purchasing power parity and the real exchange rate","volume":"49","author":"Sarno","year":"2002","journal-title":"IMF Staff Pap."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.jimonfin.2014.12.003","article-title":"Bayesian analysis of nonlinear exchange rate dynamics and the purchasing power parity persistence puzzle","volume":"51","author":"Lo","year":"2015","journal-title":"J. Int. Money Financ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"101287","DOI":"10.1016\/j.intfin.2021.101287","article-title":"Causal and Frequency Analyses of Purchasing Power Parity","volume":"71","author":"Nagayasu","year":"2021","journal-title":"J. Int. Financ. Mark. Inst. Money"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1111\/jofi.12501","article-title":"Term structure of consumption risk premier in the cross section of currency returns","volume":"72","author":"Zviadadze","year":"2017","journal-title":"J. Financ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.econmod.2017.02.004","article-title":"On the asymmetric effects of exchange rate volatility on trade flows: New evidence from US-Malaysia trade at the industry level","volume":"63","author":"Aftab","year":"2017","journal-title":"Econ. Model."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"424","DOI":"10.2307\/1912791","article-title":"Investigating causal relations by econometric models and cross-spectral methods","volume":"37","author":"Granger","year":"1969","journal-title":"Econometrica"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2006.12.004","article-title":"Causality detection based on information-theoretic approaches in time series analysis","volume":"441","author":"Vejmelka","year":"2007","journal-title":"Phys. Rep."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"238701","DOI":"10.1103\/PhysRevLett.103.238701","article-title":"Granger causality and transfer entropy are equivalent for Gaussian variables","volume":"103","author":"Barnett","year":"2009","journal-title":"Phys. Rev. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1016\/j.jimonfin.2010.06.004","article-title":"Modeling Exchange Rate Dependence Dynamics at Different Time Horizons","volume":"29","author":"Dias","year":"2010","journal-title":"J. Int. Money Financ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"100617","DOI":"10.1016\/j.mulfin.2020.100617","article-title":"Volatility connectedness in global foreign exchange markets","volume":"54","author":"Wena","year":"2020","journal-title":"J. Multinatl. Financ. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Zou, C., Ladroue, C., Guo, S., and Feng, J. (2010). Identifying interactions in the time and frequency domains in local and global networks: A granger causality approach. BMC Bioinform., 11.","DOI":"10.1186\/1471-2105-11-337"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"052801","DOI":"10.1103\/PhysRevE.89.052801","article-title":"Networks in Financial Markets Based on the Mutual Information Rate","volume":"89","author":"Pawe","year":"2014","journal-title":"Phys. Rev. E Stat. Nonlin. Soft Matter Phys."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"266","DOI":"10.3390\/jrfm8020266","article-title":"Network Analysis of the Shanghai Stock Exchange Based on Partial Mutual Information","volume":"8","author":"Tao","year":"2015","journal-title":"J. Risk Financ. Manag."},{"key":"ref_18","first-page":"33","article-title":"Research on the Relationship between Network Correlation, Structure and Systemic Financial Risk","volume":"1","author":"Hu","year":"2018","journal-title":"China Soft Sci."},{"key":"ref_19","first-page":"81","article-title":"Information Flow Correlation Network to China\u2019s Stock Market\u2014Empirical Study based on Transfer Entropy","volume":"20","author":"Wu","year":"2018","journal-title":"J. Beijing Inst. Technol. (Soc. Sci. Ed.)"},{"key":"ref_20","first-page":"2140","article-title":"An Information Flow Among Industry Sectors in the Korean Stock Market","volume":"65","author":"Oh","year":"2014","journal-title":"J. Korean Stat. Soc."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/j.ejor.2016.06.052","article-title":"Information Diffusion, Cluster Formation and Entropy-based Network Dynamics in Equity and Commodity Markets","volume":"256","author":"Bekiros","year":"2017","journal-title":"Eur. J. Oper. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"227","DOI":"10.3390\/jrfm8020227","article-title":"Dependency Relations Among International Stock Market Indices","volume":"8","author":"Junior","year":"2015","journal-title":"J. Risk Financ. Manag."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"28007","DOI":"10.1209\/0295-5075\/97\/28007","article-title":"Asymmetric Information Flow Between Market Index and Individual Stocks in Several Stock Markets","volume":"97","author":"Kwon","year":"2012","journal-title":"Europhys. Lett."},{"key":"ref_24","first-page":"601","article-title":"Research on the Risk Contagion Among the American Industries from the Perspective of the Information Flow","volume":"444","author":"Yang","year":"2014","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_25","first-page":"85","article-title":"Using Transfer Entropy to Measure Information Flows Between Financial Markets","volume":"17","author":"Dimpfl","year":"2013","journal-title":"Stud. Nonlinear Dyn. Econom."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1103\/PhysRevLett.85.461","article-title":"Measuring Information Transfer","volume":"85","author":"Schreiber","year":"2000","journal-title":"Phys. Rev. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.physa.2015.02.081","article-title":"Information Transfer Network of Global Market Indices","volume":"430","author":"Kim","year":"2015","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_29","first-page":"1","article-title":"Analysis and Forecasting of Financial Returns Based on Symbolic Time Series Method","volume":"19","author":"Xu","year":"2011","journal-title":"Chin. J. Manag. Sci."},{"key":"ref_30","unstructured":"Cao, H., Li, Y., and Chen, J. (2013, January 22\u201324). Stock Correlation Network Based on Optimal Threshold Value. Proceedings of the International Conference on Financial Engineering, Suzhou, China."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"58","DOI":"10.4236\/jmf.2020.101006","article-title":"The Relationship Structure of Global Exchange Rate Based on Network Analysis","volume":"10","author":"Cao","year":"2020","journal-title":"J. Math. Financ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","article-title":"Emergence of Scaling in Random Networks","volume":"286","author":"Barabasi","year":"1999","journal-title":"Science"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1086\/226141","article-title":"Social Structure from Multiple Networks. Block Models of Roles and Positions","volume":"81","author":"White","year":"1976","journal-title":"Am. J. Sociol."},{"key":"ref_34","unstructured":"Liu, J. (2014). Whole Network Approach\u2014A Practical Guide to UCINET, Trust & Wisdom Press\/Shanghai People Press. [2nd ed.]."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wasserman, S., and Faust, K. (1994). Social Network Analysis: Methods and Applications, Cambridge University Press.","DOI":"10.1017\/CBO9780511815478"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.1086\/714447","article-title":"Exchange Rate Disconnect in General Equilibrium","volume":"129","author":"Itskhoki","year":"2021","journal-title":"J. Political Econ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2193","DOI":"10.1111\/iere.12334","article-title":"Identifying exchange rate common factors","volume":"59","author":"Mark","year":"2018","journal-title":"Int. Econ. Rev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3492","DOI":"10.1093\/rfs\/hhz103","article-title":"Gravity in the exchange rate factor structure","volume":"33","author":"Lustig","year":"2020","journal-title":"Rev. Financ. Stud."},{"key":"ref_39","first-page":"4215","article-title":"Monetary and Exchange Rate Policies","volume":"5","author":"Sturzenegger","year":"2010","journal-title":"Handb. Dev. Econ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.ecosys.2010.09.008","article-title":"Exchange Rate Regime Choice and Currency Crisis","volume":"35","author":"Asici","year":"2011","journal-title":"Econ. Syst."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/23\/12\/1696\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:51:18Z","timestamp":1760169078000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/23\/12\/1696"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,18]]},"references-count":40,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["e23121696"],"URL":"https:\/\/doi.org\/10.3390\/e23121696","relation":{},"ISSN":["1099-4300"],"issn-type":[{"value":"1099-4300","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,18]]}}}