违约传染和系统风险的极限定理

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED Mathematics of Operations Research Pub Date : 2023-12-27 DOI:10.1287/moor.2021.0283
Hamed Amini, Zhongyuan Cao, Agnès Sulem
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引用次数: 0

摘要

我们考虑的是受外生宏观经济冲击的异质金融网络中违约蔓延和系统性风险的一般可控模型。我们的研究表明,在某些规则性假设下,违约级联模型可以转化为由球盆模型表示的死亡过程问题。我们提出了有关违约级联最终规模的各种极限定理。在适当的程度和阈值分布假设下,我们证明了违约级联的最终规模具有渐近高斯波动。接下来,我们为不同的全系统财富聚集函数提出了极限定理,这使我们能够提供与金融网络的结构和异质性相关的系统性风险度量。最后,我们展示了社会规划者如何利用这些结果,在预算约束和金融网络部分信息的情况下,在金融危机期间进行最优化的定向干预。
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Limit Theorems for Default Contagion and Systemic Risk
We consider a general tractable model for default contagion and systemic risk in a heterogeneous financial network subjected to an exogenous macroeconomic shock. We show that under certain regularity assumptions, the default cascade model can be transformed into a death process problem represented by a balls-and-bins model. We state various limit theorems regarding the final size of default cascades. Under appropriate assumptions on the degree and threshold distributions, we prove that the final sizes of default cascades have asymptotically Gaussian fluctuations. We next state limit theorems for different system-wide wealth aggregation functions, which enable us to provide systemic risk measures in relation to the structure and heterogeneity of the financial network. Lastly, we demonstrate how these results can be utilized by a social planner to optimally target interventions during a financial crisis given a budget constraint and under partial information of the financial network.
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来源期刊
Mathematics of Operations Research
Mathematics of Operations Research 管理科学-应用数学
CiteScore
3.40
自引率
5.90%
发文量
178
审稿时长
15.0 months
期刊介绍: Mathematics of Operations Research is an international journal of the Institute for Operations Research and the Management Sciences (INFORMS). The journal invites articles concerned with the mathematical and computational foundations in the areas of continuous, discrete, and stochastic optimization; mathematical programming; dynamic programming; stochastic processes; stochastic models; simulation methodology; control and adaptation; networks; game theory; and decision theory. Also sought are contributions to learning theory and machine learning that have special relevance to decision making, operations research, and management science. The emphasis is on originality, quality, and importance; correctness alone is not sufficient. Significant developments in operations research and management science not having substantial mathematical interest should be directed to other journals such as Management Science or Operations Research.
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