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中国管理科学 ›› 2021, Vol. 29 ›› Issue (12): 1-14.doi: 10.16381/j.cnki.issn1003-207x.2020.0803

• 论文 •    下一篇

基于多层网络的银企系统性风险研究

马钱挺, 杨文珂, 何建敏   

  1. 东南大学经济管理学院,江苏 南京211189
  • 收稿日期:2020-05-06 修回日期:2020-08-11 发布日期:2021-12-28
  • 通讯作者: 杨文珂(1994-),男(汉族),四川成都人,东南大学与荷语鲁汶大学联合培养,博士研究生,研究方向:金融复杂性与系统性风险、跨国投资与创新管理,Email: wenkeyang@seu.edu.cn. E-mail:wenkeyang@seu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(71971055,71774036);江苏省研究生科研创新计划资助项目(KYCX20_0165);中央高校基本科研业务费专项资金资助项目(3214002104D)

Investigating Bank-Firm Systemic Risk within a Multilayer Network

MA Qian-ting, YANG Wen-ke, HE Jian-min   

  1. School of Economics and Management, Southeast University, Nanjing 211189, China
  • Received:2020-05-06 Revised:2020-08-11 Published:2021-12-28
  • Contact: 杨文珂 E-mail:wenkeyang@seu.edu.cn

摘要: 考虑到鲜有学者从银企间主体关联业务的多元性角度分析银企系统性风险,本文则基于银企间不同贷款期限的借贷关系以及不同投资周期的共同资产关系,通过构建多层网络模型研究银企系统性风险。在多层网络模型基础上,分别从多层网络结构和银企主体行为两个方面深入探究其对系统性风险的影响。研究结果表明:在多层网络结构方面,多层网络共同冲击下的系统性风险显著大于任意两层网络的共同作用,多层网络节点异质性对于系统性风险具有一定的抵御能力。在银企主体行为方面,较长贷款期限和投资周期在一定程度上都会增大系统性风险而投资周期对系统性风险具有更高灵敏性,长期投资占比减少以及外部资产选择比例提高在一定程度上能够有效降低系统性风险,而拆借对象选择比例变化对系统性风险影响相对较小。本文的研究深入挖掘银企多层网络结构以及银企主体行为与系统性风险之间的内在关联,这对于维护金融市场稳定、防范系统性风险具有重要意义。

关键词: 多层网络模型;银企系统性风险;多层网络结构;银企主体行为

Abstract: Little is known about the bank-firm systemic risk from the perspective of the diversification of related businesses connections between banks and firms. To investigate the systemic risk of bank-firm system from the perspective of lending relationships with different loan terms and common asset holding relationships of different investment cycles, a multilayer network model is proposed. Based on the multilayer network model, the respective impact of multilayer network structures and the behaviors between banks and firms on the systemic risk is explored. The results are as follows. Regarding the multilayer network structures, the systemic risk under the combined impact of the multilayer network is significantly greater than the combined effect of any two-layer network, and the heterogeneities of multilayer network nodes has capability to resist the systemic risk. As for bank-firm subject behaviors, the longer loan term and the longer investment cycle increase the systemic risk to a certain extent, while the investment cycle is more sensitive. Decreasing the proportion of long-term investments and increasing the selection proportion of external assets can reduce the systemic risk, while the selection ratio of borrowing objects has little effect on the systemic risk relatively. The research of this paper is conducive to digging deep into the internal relationships among the multilayer network structures, the bank-firm subject behaviors and the systemic risk from a theoretical level. The above research results have certain theoretical reference value and practical guidance significance for the supervisory authorities to prevent the systemic risk and maintain the stability of the financial market.

Key words: multilayer network model; bank-firm systemic risk; multilayer network structures; bank-firm subject behaviors

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