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This paper studies stochastic control problems motivated by optimal consumption with wealth benchmark tracking. The benchmark process is modeled by a combination of a geometric Brownian motion and a running maximum process, indicating its…

Optimization and Control · Mathematics 2024-04-26 Lijun Bo , Yijie Huang , Xiang Yu

We introduce a new class of reflected backward stochastic differential equations with two c\`adl\`ag barriers, which need not satisfy any separation conditions. For that reason, in general, the solutions are not semimartingales. We prove…

Probability · Mathematics 2021-03-16 Tomasz Klimsiak

In this paper, we investigate optimal stopping problems in a continuous-time framework where only a discrete set of stopping dates is admissible, corresponding to the Bermudan option, within the so-called exploratory formulation. We…

Probability · Mathematics 2025-09-24 Noufel Frikha , Libo Li , Daniel Chee

We study a constrained optimal control problem with possibly degenerate coefficients arising in models of optimal portfolio liquidation under market impact. The coefficients can be random in which case the value function is described by a…

Mathematical Finance · Quantitative Finance 2015-07-22 Ulrich Horst , Jinniao Qiu , Qi Zhang

This paper is concerned with a Stackelberg game of backward stochastic differential equations (BSDEs), where the coefficients of the backward system and the cost functionals are deterministic, and the control domain is convex. Necessary and…

Optimization and Control · Mathematics 2019-04-18 Yueyang Zheng , Jingtao Shi

We formulate a notion of doubly reflected BSDE in the case where the barriers $\xi$ and $\zeta$ do not satisfy any regularity assumption and with a general filtration. Under a technical assumption (a Mokobodzki-type condition), we show…

Probability · Mathematics 2018-07-19 Miryana Grigorova , Peter Imkeller , Youssef Ouknine , Marie-Claire Quenez

In this paper, we study a new type of BSDE, where the distribution of the Y-component of the solution is required to satisfy an additional constraint, written in terms of the expectation of a loss function. This constraint is imposed at any…

Probability · Mathematics 2020-05-07 Philippe Briand , Romuald Elie , Ying Hu

We study the problem of existence and uniqueness of solutions of backward stochastic differential equations with two reflecting irregular barriers, $L^p$ data and generators satisfying weak integrability conditions. We deal with equations…

Probability · Mathematics 2016-11-04 Tomasz Klimsiak

This paper introduces a new recursive stochastic optimal control problem driven by a forward-backward stochastic differential equations (FBSDEs), where the ter?minal time varies according to the constraints of the state of the forward…

Optimization and Control · Mathematics 2023-04-17 Jiaqi Wang , Shuzhen Yang

We study a discrete time approximation scheme for the solution of a doubly reflected Backward Stochastic Differential Equation (DBBSDE in short) with jumps, driven by a Brownian motion and an independent compensated Poisson process.…

Probability · Mathematics 2016-12-14 Roxana Dumitrescu , Céline Labart

This paper deals with partially-observed optimal control problems for the state governed by stochastic differential equation with delay. We develop a stochastic maximum principle for this kind of optimal control problems using a variational…

Optimization and Control · Mathematics 2020-10-15 Shuaiqi Zhang , Xun Li , Jie Xiong

In this paper, we consider a class of stochastic impulse control problem when there is a fixed delay $\Delta$ between the decision and execution times. The dynamics of the controlled system between two impulses is an arbitrary adapted…

Probability · Mathematics 2026-01-23 Said Hamadène , Ibtissam Hdhiri

In this paper we study the optimal stochastic control problem for stochastic differential systems reflected in a domain. The cost functional is a recursive one, which is defined via generalized backward stochastic differential equations…

Probability · Mathematics 2013-08-26 Juan Li , Shanjian Tang

In this paper, we study a class of multi-dimensional reflected backward stochastic differential equations when the noise is driven by a Brownian motion and an independent Poisson point process, and when the solution is forced to stay in a…

Probability · Mathematics 2015-01-26 Imade Fakhouri , Youssef Ouknine , Yong Ren

How to steer a given joint state probability density function to another over finite horizon subject to a controlled stochastic dynamics with hard state (sample path) constraints? In applications, state constraints may encode safety…

Optimization and Control · Mathematics 2020-04-07 Kenneth F. Caluya , Abhishek Halder

This article deals with the starting and stopping problem under Knightian uncertainty, i.e., roughly speaking, when the probability under which the future evolves is not exactly known. We show that the lower price of a plant submitted to…

Probability · Mathematics 2007-10-05 Said Hamadene , Jianfeng Zhang

The present paper is devoted to the study of the well-posedness of mean field BSDEs with mean reflection and nonlinear resistance. By the contraction mapping argument, we first prove that the mean-field BSDE with mean reflection and…

Probability · Mathematics 2023-02-21 Peng Luo

This paper establishes a maximum principle for quasi-linear reflected backward stochastic partial differential equations (RBSPDEs for short). We prove the existence and uniqueness of the weak solution to RBSPDEs allowing for non-zero…

Analysis of PDEs · Mathematics 2016-04-11 Guanxing Fu , Ulrich Horst , Jinniao Qiu

It was shown recently that a Langevin process can be reflected at an energy absorbing boundary. Here, we establish that the law of this reflecting process can be characterized as the unique weak solution to a certain second order stochastic…

Probability · Mathematics 2007-05-23 Jean Bertoin

In this paper, we study reflected differential equations driven by continuous paths with finite $p$-variation ($1\le p<2$) and $p$-rough paths ($2\le p<3$) on domains in Euclidean spaces whose boundaries may not be smooth. We define…

Probability · Mathematics 2015-04-24 Shigeki Aida