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Dual representations for systemic risk measures

Author(s): Ararat, Çağın; Rudloff, Birgit

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dc.contributor.authorArarat, Çağın-
dc.contributor.authorRudloff, Birgit-
dc.date.accessioned2020-02-24T20:30:41Z-
dc.date.available2020-02-24T20:30:41Z-
dc.date.issued2019-07-31en_US
dc.identifier.citationArarat, Ç., & Rudloff, B. (2020). Dual representations for systemic risk measures. Mathematics and Financial Economics, 14(1), 139-174.en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1p775-
dc.description.abstractThe financial crisis showed the importance of measuring, allocating and regulating systemic risk. Recently, the systemic risk measures that can be decomposed into an aggregation function and a scalar measure of risk, received a lot of attention. In this framework, capital allocations are added after aggregation and can represent bailout costs. More recently, a framework has been introduced, where institutions are supplied with capital allocations before aggregation. This yields an interpretation that is particularly useful for regulatory purposes. In each framework, the set of all feasible capital allocations leads to a multivariate risk measure. In this paper, we present dual representations for scalar systemic risk measures as well as for the corresponding multivariate risk measures concerning capital allocations. Our results cover both frameworks: aggregating after allocating and allocating after aggregation. As examples, we consider the aggregation mechanisms of the Eisenberg-Noe model as well as those of the resource allocation and network flow models.en_US
dc.format.extent1 - 36en_US
dc.language.isoen_USen_US
dc.relation.ispartofMathematics and Financial Economicsen_US
dc.rightsAuthor's manuscripten_US
dc.titleDual representations for systemic risk measuresen_US
dc.typeJournal Articleen_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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