The global network of payment flows

被引:0
|
作者
Cook, Samantha [1 ]
Soramki, Kimmo [1 ]
机构
[1] Financial Network Analyt Ltd, Peninsular House,30 Monument St, London EC3R 8NB, England
来源
JOURNAL OF NETWORK THEORY IN FINANCE | 2015年 / 1卷 / 02期
关键词
payment flows; SWIFT; financial transactions; modeling of financial systems; financial networks;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) provides a network for financial institutions to send and receive information about financial transactions in the form of secure standardized messages. Here we analyze the global network created by flows of a particular type of SWIFT message, MT103, between 2003 and 2013. MT103 (single customer credit transfer) is the most commonly sent SWIFT message type and therefore may be a useful measure of global economic activity. We find that certain aspects of the MT103 networks are notably affected by global political and economic events. For example, we see a large reduction in links beginning in 2007 possibly due to increased financial regulation, and we see a lasting effect of the financial crisis of 2007-9 demonstrated by a reduction in the number of messages sent. At the same time, however, the underlying structure of the MT103 networks remains quite stable during the period of study. The networks are well described by a tiered model also seen in many payment system networks, with a stable core of densely connected countries. In addition, the networks exhibit a strong community structure, the largest communities roughly corresponding to Europe, the former Soviet Union and the United States plus much of Latin American and Asia. The United States is consistently the most important country in the networks according to various metrics. The empirical analysis conducted here not only increases our understanding of the SWIFT MT103 network in particular, but also may lead to improved modeling of financial systems in general.
引用
收藏
页码:21 / 52
页数:32
相关论文
共 50 条
  • [21] Online Payment Network Design
    Avarikioti, Georgia
    Besic, Kenan
    Wang, Yuyi
    Wattenhofer, Roger
    DATA PRIVACY MANAGEMENT, CRYPTOCURRENCIES AND BLOCKCHAIN TECHNOLOGY, 2019, 11737 : 307 - 320
  • [22] A flexible framework for network payment
    Neuman, BC
    READINGS IN ELECTRONIC COMMERCE, 1997, : 229 - 243
  • [23] A strategic network choice model for global container flows: specification, estimation and application
    Tavasszy, Lorant
    Minderhoud, Michiel
    Perrin, Jean-Francois
    Notteboom, Theo
    JOURNAL OF TRANSPORT GEOGRAPHY, 2011, 19 (06) : 1163 - 1172
  • [24] Virtual CO2 Emission Flows in the Global Electricity Trade Network
    Qu, Shen
    Li, Yun
    Liang, Sai
    Yuan, Jiahai
    Xu, Ming
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2018, 52 (11) : 6666 - 6675
  • [25] The polarization of global container flows by interoceanic canals: geographic coverage and network vulnerability
    Ducruet, Cesar
    MARITIME POLICY & MANAGEMENT, 2016, 43 (02) : 242 - 260
  • [26] Global Data Association for the Probability Hypothesis Density Filter Using Network Flows
    Wojke, Nicolai
    Paulus, Dietrich
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 567 - 572
  • [27] Global tourist flows under the Belt and Road Initiative: A complex network analysis
    Shymanskyi, Oleksandr
    Wang, Jue
    Pu, Yue
    PLOS ONE, 2022, 17 (08):
  • [28] Global data association for multi-object tracking using network flows
    Zhang, Li
    Li, Yuan
    Nevatia, Ramakant
    2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 1881 - 1888
  • [29] The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System
    Qian, Xianhang
    Wang, Ying
    Zhang, Guangli
    CHINA ECONOMIC REVIEW, 2018, 50 : 175 - 186
  • [30] Global information flows
    Ojala, M
    ONLINE, 2006, 30 (03): : 46 - 48