English

Well-posedness and penalization schemes for generalized BSDEs and reflected generalized BSDEs

Probability 2022-12-27 v1 Mathematical Finance

Abstract

The paper is directly motivated by the pricing of vulnerable European and American options in a general hazard process setup and a related study of the corresponding pre-default backward stochastic differential equations (BSDE) and pre-default reflected backward stochastic differential equations (RBSDE). We work with a generic filtration \FF\FF for which the martingale representation property is assumed to hold with respect to a square-integrable martingale MM and the goal of this work is of twofold. First, we aim to establish the well-posedness results and comparison theorems for a generalized BSDE and a reflected generalized BSDE with a continuous and nondecreasing driver AA. Second, we study extended penalization schemes for a generalized BSDE and a reflected generalized BSDE in which we penalize against the driver in order to obtain in the limit either a particular optimal stopping problem or a Dynkin game in which the set of admissible exercise time is constrained to the right support of the measure generated by AA.

Keywords

Cite

@article{arxiv.2212.12854,
  title  = {Well-posedness and penalization schemes for generalized BSDEs and reflected generalized BSDEs},
  author = {Libo Li and Ruyi Liu and Marek Rutkowski},
  journal= {arXiv preprint arXiv:2212.12854},
  year   = {2022}
}
R2 v1 2026-06-28T07:52:05.473Z