Set-valued risk measures as backward stochastic difference inclusions and equations

buir.contributor.authorArarat, Çağın
dc.citation.epage76en_US
dc.citation.spage43en_US
dc.citation.volumeNumber25en_US
dc.contributor.authorArarat, Çağın
dc.contributor.authorFeinstein, Z.
dc.date.accessioned2022-02-03T13:11:36Z
dc.date.available2022-02-03T13:11:36Z
dc.date.issued2021-01
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractScalar dynamic risk measures for univariate positions in continuous time are commonly represented via backward stochastic differential equations. In the multivariate setting, dynamic risk measures have been defined and studied as families of set-valued functionals in the recent literature. There are two possible extensions of scalar backward stochastic differential equations for the set-valued framework: (1) backward stochastic differential inclusions, which evaluate the risk dynamics on the selectors of acceptable capital allocations; or (2) set-valued backward stochastic differential equations, which evaluate the risk dynamics on the full set of acceptable capital allocations as a singular object. In this work, the discrete-time setting is investigated with difference inclusions and difference equations in order to provide insights for such differential representations for set-valued dynamic risk measures in continuous time.en_US
dc.identifier.doi10.1007/s00780-020-00445-0en_US
dc.identifier.eissn1432-1122
dc.identifier.issn0949-2984
dc.identifier.urihttp://hdl.handle.net/11693/76996
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttps://doi.org/10.1007/s00780-020-00445-0en_US
dc.source.titleFinance and Stochasticsen_US
dc.subjectSet-valued risk measureen_US
dc.subjectDynamic risk measureen_US
dc.subjectDifference inclusionen_US
dc.subjectSet-valued difference equationen_US
dc.subjectTime-consistencyen_US
dc.titleSet-valued risk measures as backward stochastic difference inclusions and equationsen_US
dc.typeArticleen_US

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