Well-posedness and penalization schemes for generalized BSDEs and reflected generalized BSDEs
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 for which the martingale representation property is assumed to hold with respect to a square-integrable martingale 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 . 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 .
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}
}