债务估值因素在系统风险评估中的作用。

IF 2.4 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
K Fortuna, J Szwabiński
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引用次数: 0

摘要

金融体系的脆弱性在2023年初通过美国一系列主要银行的倒闭,包括美国历史上第二大、第三大和第四大银行的倒闭,得到了赤裸裸的证明。高度相互依赖的金融网络和相关的高系统性风险被认为是崩溃的原因。本文的目标是通过纳入必要的债务估值因素来增强现有的系统性风险分析框架。我们的结果表明,这些额外的因素实质上影响了风险评估的结果。值得注意的是,通过对利率和银行信誉之间的动态关系进行建模,我们的框架可以检测到标准方法可能忽略的潜在级联失败。建议的风险评估方法可以帮助监管机构防止未来的失败,同时也允许公司更准确地预测动荡时期,并加强其在此类事件中的生存能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of debt valuation factors in systemic risk assessment.

The fragility of financial systems was starkly demonstrated in early 2023 through a cascade of major bank failures in the United States, including the second, third, and fourth largest collapses in U.S. history. The highly interdependent financial networks and the associated high systemic risk have been deemed the cause of the crashes. The goal of this paper is to enhance existing systemic risk analysis frameworks by incorporating essential debt valuation factors. Our results demonstrate that these additional elements substantially influence the outcomes of risk assessment. Notably, by modeling the dynamic relationship between interest rates and banks' credibility, our framework can detect potential cascading failures that standard approaches might miss. The proposed risk assessment methodology can help regulatory bodies prevent future failures, while also allowing companies to more accurately predict turmoil periods and strengthen their survivability during such events.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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