Visibility graph approach to exchange rate series

被引:120
|
作者
Yang, Yue [2 ]
Wang, Jianbo [1 ]
Yang, Huijie [1 ]
Mang, Jingshi [2 ]
机构
[1] Shanghai Univ Sci & Technol, Sch Management, Shanghai 200093, Peoples R China
[2] Nankai Univ, Inst Japan Studies, Tianjin 300071, Peoples R China
基金
美国国家科学基金会;
关键词
Time series analysis; Exchange rate series; Complex network; TIME-SERIES; MULTIFRACTALITY; NETWORKS;
D O I
10.1016/j.physa.2009.07.016
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
By means of a visibility graph, we investigate six important exchange rate series. It is found that the series convert into scale-free and hierarchically structured networks. The relation ship between the scaling exponents of the degree distributions and the Hurst exponents obeys the analytical prediction for fractal Brownian motions. The visibility graph can be used to obtain reliable values of Hurst exponents of the series. The characteristics are explained by using the multifractal structures of the series. The exchange rate of EURO to Japanese Yen is widely used to evaluate risk and to estimate trends in speculative investments. Interestingly. the hierarchies of the visibility graphs for the exchange rate series of these two currencies are significantly weak compared with that of the other series. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:4431 / 4437
页数:7
相关论文
共 50 条
  • [41] From the visibility graph (VG) to a complementary visibility graph (CVG) and an image complementary visibility graph (ICVG): Algorithms and applications
    Pei, Laifan
    Liu, Jie
    Cai, Zhihua
    AIP ADVANCES, 2024, 14 (01)
  • [42] Temporal Vector Visibility Graph: A Tool for Complexity Analysis of Multivariate Time Series
    Shang, Binbin
    Shang, Pengjian
    FLUCTUATION AND NOISE LETTERS, 2022, 21 (05):
  • [43] A Review of Visibility Graph Methods Research in Time Series Complex Network Analysis
    Li H.-L.
    Wang J.
    Zhou W.-H.
    Cai Y.
    Lin W.-B.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (09): : 2598 - 2622
  • [44] A novel method for forecasting time series based on fuzzy logic and visibility graph
    Zhang, Rong
    Ashuri, Baabak
    Deng, Yong
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2017, 11 (04) : 759 - 783
  • [45] Visibility graph based temporal community detection with applications in biological time series
    Minzhang Zheng
    Sergii Domanskyi
    Carlo Piermarocchi
    George I. Mias
    Scientific Reports, 11
  • [46] Forecasting Time Series through Motif Structure Analysis within Visibility Graph
    Wen, Tao
    Chen, Yu-Wang
    ICAC 2024 - 29th International Conference on Automation and Computing, 2024,
  • [47] Analysis of Aftershocks from California and Synthetic Series by Using Visibility Graph Algorithm
    Munoz-Diosdado, Alejandro
    Aguilar-Molina, Ana Maria
    Solis-Montufar, Eric Eduardo
    Zamora-Justo, Jose Alberto
    ENTROPY, 2025, 27 (02)
  • [48] An efficient non-recursive algorithm for transforming time series to visibility graph
    Ghosh, Saptorshi
    Dutta, Amlan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 514 : 189 - 202
  • [49] Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification
    Zervou, Michaela Areti
    Doutsi, Effrosyni
    Tsakalides, Panagiotis
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 1216 - 1220
  • [50] Forecasting Time Series through Motif Structure Analysis within Visibility Graph
    Wen, Tao
    Chen, Yu-wang
    2024 29TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING, ICAC 2024, 2024, : 22 - 26