Path-dependent backward stochastic Volterra integral equations with jumps, differentiability and duality principle

Abstract We study the existence and uniqueness of a solution to path-dependent backward stochastic Volterra integral equations (BSVIEs) with jumps, where path-dependence means the dependence of the free term and generator of a path of a càdlàg process. Furthermore, we prove path-differentiability of...

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Bibliographic Details
Main Authors: Ludger Overbeck, Jasmin A. L. Röder
Format: Article
Language:English
Published: Springer 2018-06-01
Series:Probability, Uncertainty and Quantitative Risk
Subjects:
Online Access:http://link.springer.com/article/10.1186/s41546-018-0030-2
Description
Summary:Abstract We study the existence and uniqueness of a solution to path-dependent backward stochastic Volterra integral equations (BSVIEs) with jumps, where path-dependence means the dependence of the free term and generator of a path of a càdlàg process. Furthermore, we prove path-differentiability of such a solution and establish the duality principle between a linear path-dependent forward stochastic Volterra integral equation (FSVIE) with jumps and a linear path-dependent BSVIE with jumps. As a result of the duality principle we get a comparison theorem and derive a class of dynamic coherent risk measures based on path-dependent BSVIEs with jumps.
ISSN:2367-0126