On fairness of systemic risk measures

被引:0
|
作者
Francesca Biagini
Jean-Pierre Fouque
Marco Frittelli
Thilo Meyer-Brandis
机构
[1] University of Munich,Department of Mathematics
[2] University of Oslo,Department of Mathematics
[3] University of California,Department of Statistics & Applied Probability
[4] Università degli Studi di Milano,Dipartimento di Matematica
来源
Finance and Stochastics | 2020年 / 24卷
关键词
Systemic risk measures; Random allocations; Risk allocation; Fairness; 60A99; 91B30; 91G10; 93D99; C690; G1;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:513 / 564
页数:51
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