Conditional Systemic Risk Measures

IF 1.4 4区 经济学 Q3 BUSINESS, FINANCE SIAM Journal on Financial Mathematics Pub Date : 2020-10-22 DOI:10.1137/20m1370616
A. Doldi, M. Frittelli
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引用次数: 11

Abstract

We investigate to which extent the relevant features of (static) systemic risk measures can be extended to a conditional setting. After providing a general dual representation result, we analyze in greater detail Conditional Shortfall Systemic Risk Measures. In the particular case of exponential preferences, we provide explicit formulas that also allow us to show a time consistency property. Finally, we provide an interpretation of the allocations associated to Conditional Shortfall Systemic Risk Measures as suitably defined equilibria. Conceptually, the generalization from static to conditional systemic risk measures can be achieved in a natural way, even though the proofs become more technical than in the unconditional framework.
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有条件系统性风险措施
我们调查(静态)系统风险措施的相关特征在多大程度上可以扩展到条件设置。在提供一般的对偶表示结果之后,我们更详细地分析了条件短缺系统风险度量。在指数偏好的特殊情况下,我们提供了显式公式,也允许我们显示时间一致性。最后,我们提供了与条件短缺系统风险措施相关的分配作为适当定义的均衡的解释。从概念上讲,从静态到有条件的系统风险措施的概括可以以自然的方式实现,即使证明比无条件框架更具技术性。
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来源期刊
SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.30
自引率
10.00%
发文量
52
期刊介绍: SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.
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