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ORIGINAL RESEARCH article

Front. Phys.

Sec. Social Physics

Volume 13 - 2025 | doi: 10.3389/fphy.2025.1562015

This article is part of the Research Topic Finance and Production Complex Systems View all 7 articles

Systemically important company identification based on topological characteristics of the common share pledge network

Provisionally accepted
Yuyin Ma Yuyin Ma 1Qiong Sun Qiong Sun 2Chao Wang Chao Wang 1*
  • 1 Southeast University, Nanjing, Jiangsu Province, China
  • 2 Nanjing Agricultural University, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    With the continuous development of the global securities market, share pledges as a business form are gradually emerging. However, there are also certain risks associated with share pledges. There are many common pledges between different share pledgers, which may result in financial contagion. This paper constructs a common share pledge network and proposes an identification method of systemically important listed companies by analyzing the characteristics of its network structure, to improve the stability of the financial market. The results show that the share pledges are concentrated in a certain number of large companies, exhibiting scale-free characteristics and multiple local community features. The supervision of share pledges will promote the formation of such characteristics. Although financial supervision reduces the probability of share pledge risks, it also improves the importance of companies with high centrality in the share pledge market. Compared with the traditional network characteristics the centrality of the common share pledge network will provide more information about the share pledge risk. Different characteristics of network centrality can effectively identify systemically important companies, which has important regulatory value for financial risk prevention.

    Keywords: Share pledge, network structure, Systemic importance, Stock Market, financial risk

    Received: 16 Jan 2025; Accepted: 27 Feb 2025.

    Copyright: © 2025 Ma, Sun and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Chao Wang, Southeast University, Nanjing, 210096, Jiangsu Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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