Reflected and Doubly RBSDEs with Irregular Obstacles and a Large Set of Stopping Strategies
Ihsan Arharas, Youssef Ouknine

TL;DR
This paper introduces a new formulation of reflected and doubly reflected backward stochastic differential equations (BSDEs) with irregular obstacles, extending optimal stopping problems to split stopping times and establishing existence and uniqueness results.
Contribution
It extends classical reflected BSDEs to irregular obstacles and split stopping times, providing a new framework for complex financial contracts with discontinuities.
Findings
Existence and uniqueness of solutions to irregular reflected BSDEs.
Aggregation of the value family by an optional process as the Snell envelope.
Generalization to doubly reflected BSDEs with two barriers.
Abstract
We introduce a new formulation of reflected BSDEs and doubly reflected BSDEs associated with irregular obstacles. In the first part of the paper, we consider an extension of the classical optimal stopping problem over a larger set of stopping systems than the set of stopping times (namely, the set of split stopping times), where the payoff process is irregular and in the case of a general filtration. Split stopping times are a powerful tool for modeling financial contracts and derivatives that depend on multiple conditions or triggers, and for incorporating stochastic processes with jumps and other types of discontinuities. We show that the value family can be aggregated by an optional process , which is characterized as the Snell envelope of the reward process over split stopping times. Using this, we prove the existence and uniqueness of a solution to irregular…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Economic theories and models · Risk and Portfolio Optimization
