IECE - Institute of Emerging and Computer Engineers

  • Sign Up Log in
    Log in

    • -
    CiteScore
    0.8
    Impact Factor
    1. Home
    2. Journals
    3. IECE Transactions on Social Statistics and Computing
    4. Volume 1, Issue 2
    Volume 1, Issue 2, IECE Transactions on Social Statistics and Computing
    Volume 1, Issue 2, 2024
    Submit Manuscript Edit a Special Issue
    Academic Editor
    Hangyuan Guo
    Hangyuan Guo
    Innovation college, North-Chiang Mai University, Thailand
    Article QR Code
    Article QR Code
    Scan the QR code for reading
    Popular articles
    Research on A Ship Trajectory Classification Method Based on Deep Learning YOLOv7-Bw: A Dense Small Object Efficient Detector Based on Remote Sensing Image Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data Visual Feature Extraction and Tracking Method Based on Corner Flow Detection A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory Inaugural Editorial of the Chinese Journal of Information Fusion Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform A Cyber-Physical System Based on On-Board Diagnosis (OBD-II) for Smart City
    IECE Transactions on Social Statistics and Computing, 2024, Volume 1, Issue 2: 32-46

    Free Access | Research Article | 24 April 2024
    Evolutionary Game Simulation Analysis of Government Supervision of Shadow Banking in China
    by
    IECE Author Ronghui Li 1
    IECE Author Jianren Yang 2 *
    IECE Author Yixin Yan 2
    1 Software Engineering Institute of Guangzhou, Guangzhou 510980, China
    2 Jingdezhen Ceramic University, Jingdezhen 333403, China
    * Corresponding author: Jianren Yang, email: [email protected]
    DOI: 10.62762/TSSC.2024.775392
    Received: 21 March 2024, Accepted: 13 April 2024, Published: 24 April 2024  
    Abstract
    Both the shadow banking and the government regulatory agencies are bounded rational subjects, and they will constantly adjust the game according to the change of the other party's strategy when making decisions. Therefore, it has become an effective way to explore the government regulatory issues of China's shadow banking with the application of evolutionary game theory. By constructing the evolutionary game model of shadow banking and government regulatory authorities, this paper analyzes the dynamic adjustment relationship between the strategy choice of shadow banking and government regulatory authorities, and concludes that the operating income and cost of shadow banking, the intensity of rewards and punishments and the supervision cost of government regulatory authorities are the important factors affecting the decision-making of the two. It is necessary to improve the information disclosure system of shadow banking, strengthen the reward and punishment mechanism for shadow banking, innovate the ways and methods of government supervision of shadow banking, smooth and improve the channels and mechanisms for coordinating government supervision, and guide the compliance operation of shadow banking.
    Graphical Abstract
    Evolutionary Game Simulation Analysis of Government Supervision of Shadow Banking in China
    Keywords
    Shadow banking
    Government supervision
    Evolutionary game
    Simulation
    References

    ‌[1]Krugman P. Out of the Shadows[J]. New York Times, 2009, 19.

    ‌[2]Tarnanidou, C. I. (2016). EU financial collateral arrangements and re-hypothecation in the shadow of ‘shadow banking’: To further regulate or not?. Journal of Banking Regulation, 17, 200-238.

    ‌[3]Elliott, D., Kroeber, A., & Qiao, Y. (2015). Shadow banking in China: A primer. Economic Studies at Brookings, 3(2015), 1-7.

    ‌[4]Grillet-Aubert, L., Haquin, J. B., Jackson, C., Killeen, N., & Weistroffer, C. (2016). Assessing shadow banking–non-bank financial intermediation in Europe. ESRB: Occasional Paper Series, (2016/10).

    ‌[5]Kodres, L. E. (2013). What is shadow banking. Finance and Development, 50(2), 42-43.

    ‌[6]Yang, L., van Wijnbergen, S., Qi, X., & Yi, Y. (2019). Chinese shadow banking, financial regulation and effectiveness of monetary policy. Pacific-Basin Finance Journal, 57, 101169.

    ‌[7]Xu, M. (2023). The Coordination Between Macro-Prudential Supervision and Monetary Policy—From the Perspective of Financial Stability. Frontiers in Management Science, 2(4), 60-79.

    ‌[8]Thiemann, M., Birk, M., & Friedrich, J. (2018). Much Ado About Nothing? Macro-Prudential Ideas and the Post-Crisis Regulation of Shadow Banking. Kölner Zeitschrift für Soziologie und Sozialpsychologie (KZfSS), 70(1).

    ‌[9]Cai, J., & Wang, A. (2022, December). Shadow Bank Scale and Financial Risk Prevention and Control Ability An Empirical Study Based on Principal Component Analysis. In 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) (pp. 107-114). Atlantis Press.

    ‌[10]Zhang, J., & Xu, L. (2023). Local supervision of Chinese shadow banking. Journal of Banking Regulation, 24(3), 337-356.

    ‌[11]Liu, X. (2014). Shadow banking in China. Banking & Finance Law Review, 30(1), 127.

    ‌[12]Schwarcz, S. L. (2011). Regulating Shadow Banking: Inaugural Address for the Inaugural Symposium of the Review of Banking & Financial Law. Rev. Banking & Fin. L., 31, 619.

    ‌[13]Pellegrini, C. B., Cincinelli, P., Meoli, M., & Urga, G. (2022). The role of shadow banking in systemic risk in the European financial system. Journal of Banking & Finance, 138, 106422.

    ‌[14]Hachem, K. (2018). Shadow banking in China. Annual review of financial economics, 10, 287-308.

    ‌[15]Friedman, D. (1991). Evolutionary games in economics. Econometrica: journal of the econometric society, 637-666.

    ‌[16]Wan, X., Xiao, S., Li, Q., & Du, Y. (2021). Evolutionary policy of trading of blue carbon produced by marine ranching with media participation and government supervision. Marine Policy, 124, 104302.

    Cite This Article
    APA Style
    Li, R., Yang, J., & Yan, Y. (2024). Evolutionary Game Simulation Analysis of Government Supervision of Shadow Banking in China. IECE Transactions on Social Statistics and Computing, 1(2), 1–15. https://doi.org/10.62762/TSSC.2024.775392
    Article Metrics
    Citations:

    Google Scholar
    0

    Crossref

    0

    Scopus

    0

    Web of Science

    0
    Article Access Statistics:
    Views: 288
    PDF Downloads: 36
    Publisher's Note
    IECE stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
    Rights and permissions
    IECE or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
    IECE Transactions on Social Statistics and Computing

    IECE Transactions on Social Statistics and Computing

    ISSN: 2996-8488 (Online)

    Email: [email protected]

    Portico

    Portico

    All published articles are preserved here permanently:
    https://www.portico.org/publishers/iece/

    Copyright © 2024 Institute of Emerging and Computer Engineers Inc.