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中国管理科学 ›› 2025, Vol. 33 ›› Issue (12): 26-40.doi: 10.16381/j.cnki.issn1003-207x.2024.0427cstr: 32146.14.j.cnki.issn1003-207x.2024.0427

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信息溢出对银企担保网络流动性风险传染的影响研究

李志楠, 雷静悦(), 沈沛龙   

  1. 山西财经大学金融学院,山西 太原 030006
  • 收稿日期:2024-03-22 修回日期:2024-06-15 出版日期:2025-12-25 发布日期:2025-12-25
  • 通讯作者: 雷静悦 E-mail:Leijingyue614@163.com
  • 基金资助:
    中国哲学社会科学基金项目(20BJL016)

The Influence of Information Spillover on Liquidity Risk Contagion in Bank-firm Guarantee Network

Zhinan Li, Jingyue Lei(), Peilong Shen   

  1. School of Finance,Shanxi University of Finance and Economics,Taiyuan 030006,China
  • Received:2024-03-22 Revised:2024-06-15 Online:2025-12-25 Published:2025-12-25
  • Contact: Jingyue Lei E-mail:Leijingyue614@163.com

摘要:

本文通过构建银行间的同业借贷网络、企业间的供应链商业信用网络和供应链融资担保网络、企业与担保机构间的商业担保网络、银行和企业间的信贷网络,共同构成多层银企担保网络模型,同时,将信息分为破产信息和流动性信息,采用计算实验方法研究信息溢出对银企担保网络流动性风险传染的影响。研究表明,在无外部冲击时,信息溢出会增加银行和企业的流动性破产数量;而在有外部冲击时,信息溢出导致企业流动性破产增多、银行流动性破产减少。参数敏感性分析发现,外部环境不确定性较大时,信息溢出对银行维持自身经营稳定和防范外部风险具有积极作用;银行提高风险认知水平和风险偏好并进行积极的信息披露,可以抑制信息溢出的负面影响,降低流动性风险传染程度。银企杠杆水平较高、企业经营能力较弱时,信息溢出会加剧流动性风险传染。此外,若企业间也存在流动性信息溢出,企业可以通过及时地调整应收账款从而抑制流动性风险传染。

关键词: 信息溢出, 银企担保网络, 流动性风险, 计算实验金融

Abstract:

During China’s three default waves in 2008, 2011, and 2015, the impact of corporate defaults was transmitted to financial institutions. However, the risk did not remain contained; it further propagated to other firms. This resulted in a significant number of normally functioning firms—those that do not belong to the same industry chain and lack direct transactional relationships but are interconnected through the same bank or guarantee institution—falling into liquidity crises one after another. This phenomenon cannot be explained by existing risk transmission mechanisms. Therefore, the phenomenon is explained from the perspective of information spillover and its impact on liquidity risk contagion in the bank-firm guarantee network is explored. A multi-layer bank-firm guarantee network model is constructed including an interbank lending network, a supply chain commercial credit network, a supply chain financing guarantee network, a commercial guarantee network between firms and guarantee institutions, and a loan network between banks and firms. The information is divided into bankruptcy information and liquidity information, and computational experimental methods are used to study the influence of information spillover on liquidity risk contagion in the bank-firm guarantee network.Research indicates that in the absence of external shocks, information spillover tends to increase the number of liquidity bankruptcies for banks and firms. Conversely, during periods of external shocks, information spillover leads to an increase in firm liquidity bankruptcies while simultaneously decreasing bank liquidity bankruptcies. The parameter sensitivity analysis reveals that in highly uncertain external environments, information spillover positively influences banks by enhancing business stability and mitigating external risks. Improving banks' risk awareness and risk appetite, along with making positive information disclosure, can help mitigate the adverse effects of information spillover and reduce the extent of liquidity risk transmission. When bank-firm leverage levels are high while firm management ability is low, information spillover may exacerbate liquidity risk contagion. Furthermore, if there is a liquidity information spillover between firms, they can timely adjust accounts receivable to restrain liquidity risk contagion. The impact mechanism of information spillover on risk contagion in bank-firm guarantee networks is investigated, contributing to the research on risk contagion between banks and firms. The research findings provide theoretical insights into mitigating information asymmetry between banks and firms and reducing the adverse effects of information spillovers on liquidity risk contagion within these networks.

Key words: information spillover, bank-firm guarantee network, liquidity risk, agent-based computational finance

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