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A Visibility Graph Approach to CNY Exchange Rate Networks and Characteristic Analysis
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-29
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
We find that exchange rate networks are significantly similar from the perspective of topological structure, though with relatively great differences in fluctuation characteristics from perspective of exchange rate time series.
First, we transform central parity rate time series of US dollar, Euro, Yen, and Sterling against CNY into exchange rate networks with visibility graph algorithm and find consistent topological characteristics in four exchange rate networks, with their average path lengths 5 and average clustering coefficients 0.7.
Further, we reveal that all four transformed exchange rate networks show hierarchical structure and small-world and scale-free properties, with their hierarchy indexes 0.5 and power exponents 1.5.
Both of the US dollar network and Sterling network exhibit assortative mixing features, while the Euro network and Yen network exhibit disassortative mixing features.
Finally, we research community structure of exchange rate networks and uncover the fact that the communities are actually composed by large amounts of continuous time point fractions and small amounts of discrete time point fractions.
In this way, we can observe that the spread of time series values corresponding to nodes inside communities is significantly lower than the spread of those values corresponding to nodes of the whole networks.
American Psychological Association (APA)
Yao, Can-Zhong& Lin, Ji-Nan. 2017. A Visibility Graph Approach to CNY Exchange Rate Networks and Characteristic Analysis. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1151550
Modern Language Association (MLA)
Yao, Can-Zhong& Lin, Ji-Nan. A Visibility Graph Approach to CNY Exchange Rate Networks and Characteristic Analysis. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1151550
American Medical Association (AMA)
Yao, Can-Zhong& Lin, Ji-Nan. A Visibility Graph Approach to CNY Exchange Rate Networks and Characteristic Analysis. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1151550
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151550