Complex network construction of Internet finance risk

被引:34
|
作者
Xu, Runjie [1 ]
Mi, Chuanmin [1 ]
Mierzwiak, Rafal [2 ]
Meng, Runyu [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Jiangsu, Peoples R China
[2] Poznan Univ Tech, Fac Engn Management, PL-60965 Poznan, Poland
[3] Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
关键词
Complex networks; Internet finance; Risk contagion network; Systemic risk; SYSTEMIC RISK; CONTAGION; MARKET; COSTS;
D O I
10.1016/j.physa.2019.122930
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Internet finance is a new financial model that applies Internet technology to payment, capital borrowing, and lending and transaction processing. In order to study the internal risks, this paper uses the Internet finance risk elements as the network node to construct the complex network of Internet finance risk system. Different from the study of macroeconomic shocks and Finance institution data, this paper mainly adopts the perspective of a complex system to analyze the systematic risk of Internet finance. By dividing the entire financial system into Internet finance subnet, regulatory subnet, and traditional financial subnet, the paper discusses the relationship between contagion and contagion among different risk factors and concludes that risks are transmitted externally through the internal circulation of Internet finance, thus discovering potential hidden dangers of systemic risks. The results show that the nodes around the center of the whole system are the main objects of financial risk contagion in the Internet finance network. In addition, macro-prudential regulation plays a decisive role in the control of the Internet finance system and points out the reasons why the current regulatory measures are still limited. This paper summarizes a research model that is still in its infancy, hoping to open up new prospects and directions for us to understand the cascading behaviors of Internet finance risks. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] The Risk and Prevention of Internet Finance
    Ta, Lin
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ECONOMICS SYSTEM AND INDUSTRIAL SECURITY ENGINEERING (IEIS), 2017,
  • [2] Study on risk of internet finance
    Shen, Y.
    [J]. COMPUTING, CONTROL, INFORMATION AND EDUCATION ENGINEERING, 2015, : 993 - 996
  • [3] Construction on Information Security System for Internet Finance
    Cao, Wenfang
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MACHINERY, ELECTRONICS AND CONTROL SIMULATION (MECS 2017), 2017, 138 : 919 - 924
  • [4] Research on the risk of block chain technology in Internet finance supported by wireless network
    Chen, Yu
    Zhang, Yayun
    Zhou, Bo
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)
  • [5] Research on the risk of block chain technology in Internet finance supported by wireless network
    Yu Chen
    Yayun Zhang
    Bo Zhou
    [J]. EURASIP Journal on Wireless Communications and Networking, 2020
  • [6] Measurement and Management on the Risk of Internet Finance
    Gao, Xin
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ECONOMICS, MANAGEMENT, LAW AND EDUCATION, 2016, 46 : 183 - 185
  • [7] Comprehensive analysis of risk factors in Internet agricultural finance based on neural network model
    Wang, Yan
    Wang, Xueshun
    Zhang, Wenziyi
    Zheng, Ke
    Fu, Xinhong
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (04) : 6593 - 6604
  • [8] The exploration of internet finance by using neural network
    Qi, Songqiao
    Jin, Kaijun
    Li, Baisong
    Qian, Yufeng
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2020, 369
  • [9] Research on the Development and Risk Regulation of Internet Finance
    Huang, Wenjie
    Ye, Shujun
    [J]. PROCEEDINGS OF 2016 2ND INTERNATIONAL CONFERENCE ON HUMANITIES AND SOCIAL SCIENCE RESEARCH (ICHSSR 2016), 2016, 70 : 110 - 115
  • [10] IT Risk Control for Internet Finance Based on COBIT
    Huang Yubo
    [J]. 2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020), 2020, : 275 - 278