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基于网络和Copula熵的脆弱性分析方法

Vulnerability Analysis Method Based on Network and Copula Entropy.

作者信息

Chen Mengyuan, Liu Jilan, Zhang Ning, Zheng Yichao

机构信息

School of Finance, Central University of Finance and Economics, Beijing 102206, China.

China Fintech Research Center, Central University of Finance and Economics, Beijing 102206, China.

出版信息

Entropy (Basel). 2024 Feb 23;26(3):192. doi: 10.3390/e26030192.

Abstract

With the deepening of the diversification and openness of financial systems, financial vulnerability, as an endogenous attribute of financial systems, becomes an important measurement of financial security. Based on a network analysis, we introduce a network curvature indicator improved by Copula entropy as an innovative metric of financial vulnerability. Compared with the previous network curvature analysis method, the CE-based curvature proposed in this paper can measure market vulnerability and systematic risk with significant advantages.

摘要

随着金融体系多元化和开放性的不断深入,金融脆弱性作为金融体系的一种内生属性,成为衡量金融安全的重要指标。基于网络分析,我们引入一种通过Copula熵改进的网络曲率指标,作为金融脆弱性的创新度量。与以往的网络曲率分析方法相比,本文提出的基于CE的曲率在衡量市场脆弱性和系统性风险方面具有显著优势。

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