• Corpus ID: 234680116

Generalized BSDEs with random time horizon in a progressively enlarged filtration

@inproceedings{Aksamit2021GeneralizedBW,
  title={Generalized BSDEs with random time horizon in a progressively enlarged filtration},
  author={Anna Aksamit and Libo Li and Marek Rutkowski},
  year={2021}
}
We study generalized backward stochastic differential equations (BSDEs) up to a random time horizon θ, which is not a stopping time, under minimal assumptions regarding the properties of θ. In contrast to existing works in this area, we do not impose specific assumptions on the random time θ and we study the existence of solutions to BSDEs and reflected BSDEs with a random time horizon through the method of reduction. In addition, we also examine BSDEs and reflected BSDEs with a làdlàg driver… 

Progressively Enlargement of Filtrations and Control Problems for Step Processes

In the present paper we address stochastic optimal control problems for a step process (X ,F) under a progressive enlargement of the filtration. The global information is obtained adding to the

References

SHOWING 1-10 OF 45 REFERENCES

Progressive Enlargement of Filtrations and Backward Stochastic Differential Equations with Jumps

This work deals with backward stochastic differential equations (BSDEs for short) with random marked jumps, and their applications to default risk. We show that these BSDEs are linked with Brownian

Optimal Stopping of Marked Point Processes and Reflected Backward Stochastic Differential Equations

We define a class of reflected backward stochastic differential equation (RBSDE) driven by a marked point process (MPP) and a Brownian motion, where the solution is constrained to stay above a given

BSDEs of counterparty risk

$$\mathbb {L}^2$$L2-solutions for reflected BSDEs with jumps under monotonicity and general growth conditions: a penalization method

In this paper, we study generalized reflected backward stochastic differential equations with a càdlàg barrier, in a general filtration that supports a Brownian motion and an independent Poisson

Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control

We address a class of backward stochastic differential equations on a bounded interval, where the driving noise is a marked, or multivariate, point process. Assuming that the jump times are totally

Reflected BSDEs with regulated trajectories

Reflected BSDEs when the obstacle is not right-continuous and optimal stopping

In the first part of the paper, we study reflected backward stochastic differential equations (RBSDEs) with lower obstacle which is assumed to be right upper-semicontinuous but not necessarily