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Related papers: Global $C^1$ Regularity of the Value Function in O…

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We explore properties of the value function and existence of optimal stopping times for functionals with discontinuities related to the boundary of an open (possibly unbounded) set $\mathcal{O}$. The stopping horizon is either random, equal…

Optimization and Control · Mathematics 2017-01-11 Jan Palczewski , Lukasz Stettner

We consider the control problem with \textit{exit time}. Unlike the Bolza and Mayer problems, in this problem the terminal time of the trajectories is not fixed, but it is the first time at which they reach a given closed subset -…

Optimization and Control · Mathematics 2017-05-10 Luong V. Nguyen

We consider the optimal stopping problem for a Gauss-Markov process conditioned to adopt a prescribed terminal distribution. By applying a time-space transformation, we show it is equivalent to stopping a Brownian bridge pinned at a random…

Probability · Mathematics 2025-05-26 Abel Azze , Bernardo D'Auria

In this paper we consider discrete and continuous time risk sensitive optimal stopping problem. Using suitable properties of the underlying Feller-Markov process we prove continuity of the optimal stopping value function and provide formula…

Optimization and Control · Mathematics 2021-03-31 Damian Jelito , Marcin Pitera , Łukasz Stettner

We give a new proof of the fact that the value function of the finite time horizon American put option for a jump diffusion, when the jumps are from a compound Poisson process, is the classical solution of a free boundary equation. We also…

Optimization and Control · Mathematics 2008-12-10 Erhan Bayraktar

Along the optimal trajectory of an optimal control problem constrained by a semilinear parabolic partial differential equation, we prove the differentiability of the value function with respect to the initial condition and, under additional…

Optimization and Control · Mathematics 2025-09-19 Alberto Domínguez Corella , Nicolai Jork , Stefan Volkwein

We obtain the first probabilistic proof of continuous differentiability of time-dependent optimal boundaries in optimal stopping problems. The underlying stochastic dynamics is a one-dimensional, time-inhomogeneous diffusion. The gain…

Probability · Mathematics 2024-05-28 Tiziano De Angelis , Damien Lamberton

Our purpose is to study a particular class of optimal stopping problems for Markov processes. We justify the value function convexity and we deduce that there exists a boundary function such that the smallest optimal stopping time is the…

Probability · Mathematics 2013-07-22 Diana Dorobantu

In this article we prove for the first time the $C^s$ boundary regularity for solutions to nonlocal elliptic equations with H\"older continuous coefficients in divergence form in $C^{1,\alpha}$ domains. So far, it was only known that…

Analysis of PDEs · Mathematics 2025-09-18 Minhyun Kim , Marvin Weidner

We consider a class of discretionary stopping problems within the $G$-framework. We first establish the well-definedness of the stopping problem under the $G$-expectation, by showing the quasi-continuity of the stopped process. We then…

Probability · Mathematics 2013-05-10 Xin Guo , Chen Pan , Shige Peng

In this paper we introduce and solve a class of optimal stopping problems of recursive type. In particular, the stopping payoff depends directly on the value function of the problem itself. In a multi-dimensional Markovian setting we show…

Optimization and Control · Mathematics 2021-06-23 Katia Colaneri , Tiziano De Angelis

We consider the optimal stopping problem consisting in, given a strong Markov process, a reward function and a discount rate, finding the stopping time such that the expected reward at the stopping time is maximum. The approach we follow,…

Probability · Mathematics 2014-05-30 Fabián Crocce

In this paper, we study the optimal multiple stopping problem under the filtration consistent nonlinear expectations. The reward is given by a set of random variables satisfying some appropriate assumptions rather than an RCLL process. We…

Probability · Mathematics 2019-08-21 Hanwu Li

We consider optimal stopping problems with finite-time horizon and state-dependent discounting. The underlying process is a one-dimensional linear diffusion and the gain function is time-homogeneous and difference of two convex functions.…

Probability · Mathematics 2022-01-19 Tiziano De Angelis

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…

Probability · Mathematics 2023-03-31 Ihsan Arharas , Youssef Ouknine

We show, under weaker assumptions than in the previous literature, that a perpetual optimal stopping game always has a value. We also show that there exists an optimal stopping time for the seller, but not necessarily for the buyer.…

Probability · Mathematics 2016-08-16 Erik Ekström , Stephane Villeneuve

We study an optimal stopping problem when the state process is governed by a general Feller process. In particular, we examine viscosity properties of the associated value function with no a priori assumption on the stochastic differential…

Optimization and Control · Mathematics 2018-03-13 Suhang Dai , Olivier Menoukeu-Pamen

We use probabilistic methods to characterise time dependent optimal stopping boundaries in a problem of multiple optimal stopping on a finite time horizon. Motivated by financial applications we consider a payoff of immediate stopping of…

Optimization and Control · Mathematics 2017-01-10 Tiziano De Angelis , Yerkin Kitapbayev

Vecer derived a degenerate parabolic equation with a boundary condition characterizing the price of Asian options with generally sampled average. It is well understood that there exists a unique probabilistic solution to such a problem but…

Analysis of PDEs · Mathematics 2016-02-08 Hongjie Dong , Seick Kim

In this article, we study the classical finite-horizon optimal stopping problem for multidimensional diffusions through an approach that differs from what is typically found in the literature. More specifically, we first prove a key…

Optimization and Control · Mathematics 2025-03-05 Andrea Cosso , Laura Perelli
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