On fairness of systemic risk measures

On fairness of systemic risk measures
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论系统性风险指标的公平性

DOI:
10.1007/s00780-020-00417-4
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发表时间:
2020
影响因子:
1.7
通讯作者:
Meyer-Brandis, Thilo
Meyer-Brandis, Thilo
中科院分区:
经济学2区
文献类型:
--
作者:
Biagini, Francesca;Fouque, Jean-Pierre;Frittelli, Marco;Meyer-Brandis, Thilo

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在我们之前的论文“通过接受集进行系统性风险度量的统一方法”(Mathematical Finance,2018)中,我们介绍了一类通用的系统性风险度量,允许在汇总风险之前随机分配给单个银行。在本文中,我们证明了一个特殊的子类,这样的系统性风险的措施和最优分配的存在性和唯一性的对偶表示。我们还介绍了一个相关的效用最大化问题,它具有相同的解决方案,与系统性风险措施的最小化问题。此外,对偶公式中的优化器提供了从各个金融机构的角度来看是公平的风险分配。的情况下,允许显式计算的指数效用进行了详细处理。
In our previous paper “A unified approach to systemic risk measures via acceptance sets”(Mathematical Finance, 2018), we have introduced a general class of systemic risk measures that allow random allocations to individual banks before aggregation of their risks. In the present paper, we prove a dual representation of a particular subclass of such systemic risk measures and the existence and uniqueness of the optimal allocation related to them. We also introduce an associated utility maximisation problem which has the same solution as the minimisation problem associated to the systemic risk measure. In addition, the optimiser in the dual formulation provides a risk allocation which is fair from the point of view of the individual financial institutions. The case with exponential utilities which allows explicit computation is treated in detail.
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