Backward Stochastic Differential Equations with Nonlinear Expectation Reflection

Fuente: arXiv
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1. Verfasser: Li, Hanwu
Format: Preprint
Veröffentlicht: 2025
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author Li, Hanwu
author_facet Li, Hanwu
contents In this paper, we study a kind of constrained backward stochastic differential equations (BSDEs) such that the nonlinear expectation of the composition of a loss function and the solution remains above zero. The existence and uniqueness result is established with the help of the Skorokhod problem and the method of contraction mapping. We provide the comparison properties for the pointwise value of the solutions and the expectation of the solutions, respectively. In addition, a similar BSDE with risk measure reflection is proposed, which can be applied to the superhedging for contingent claims under risk management constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2511_17049
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Backward Stochastic Differential Equations with Nonlinear Expectation Reflection
Li, Hanwu
Probability
In this paper, we study a kind of constrained backward stochastic differential equations (BSDEs) such that the nonlinear expectation of the composition of a loss function and the solution remains above zero. The existence and uniqueness result is established with the help of the Skorokhod problem and the method of contraction mapping. We provide the comparison properties for the pointwise value of the solutions and the expectation of the solutions, respectively. In addition, a similar BSDE with risk measure reflection is proposed, which can be applied to the superhedging for contingent claims under risk management constraints.
title Backward Stochastic Differential Equations with Nonlinear Expectation Reflection
topic Probability
url https://arxiv.org/abs/2511.17049