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

Çağın Ararat () and Zachary Feinstein ()
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Çağın Ararat: Bilkent University
Zachary Feinstein: Stevens Institute of Technology

Finance and Stochastics, 2021, vol. 25, issue 1, No 3, 43-76

Abstract: Abstract Scalar 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.

Keywords: Set-valued risk measure; Dynamic risk measure; Difference inclusion; Set-valued difference equation; Time-consistency; 26E25; 28B20; 34A60; 39A50; 46A20; 91B30 (search for similar items in EconPapers)
JEL-codes: D81 G32 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00780-020-00445-0

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