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Consider the optimal stopping problem of a one-dimensional diffusion with positive discount. Based on Dynkin's characterization of the value as the minimal excessive majorant of the reward and considering its Riesz representation, we give…

Probability · Mathematics 2013-07-03 Fabián Crocce , Ernesto Mordecki

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

This paper develops an approach for solving perpetual discounted optimal stopping problems for multidimensional diffusions, with special emphasis on the $d$-dimensional Wiener process. We first obtain some verification theorems for…

Probability · Mathematics 2016-11-04 Sören Christensen , Fabián Crocce , Ernesto Mordecki , Paavo Salminen

This article explores an optimal stopping problem for branching diffusion processes. It consists in looking for optimal stopping lines, a type of stopping time that maintains the branching structure of the processes under analysis. By using…

Probability · Mathematics 2024-12-31 Idris Kharroubi , Antonio Ocello

We consider a one-dimensional diffusion which solves a stochastic differential equation with Borel-measurable coefficients in an open interval. We allow for the endpoints to be inaccessible or absorbing. Given a Borel-measurable function…

Probability · Mathematics 2014-01-13 Damien Lamberton , Mihail Zervos

This paper provides a full characterization of the value function and solution(s) of an optimal stopping problem for a one-dimensional diffusion with an integral criterion. The results hold under very weak assumptions, namely, the diffusion…

Probability · Mathematics 2017-03-21 Manuel Guerra , Cláudia Nunes , Carlos Oliveira

Consider a set of discounted optimal stopping problems for a one-parameter family of objective functions and a fixed diffusion process, started at a fixed point. A standard problem in stochastic control/optimal stopping is to solve for the…

Probability · Mathematics 2010-05-04 David Hobson , Martin Klimmek

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

A finite horizon optimal stopping problem for an infinite dimensional diffusion $X$ is analyzed by means of variational techniques. The diffusion is driven by a SDE on a Hilbert space $\mathcal{H}$ with a non-linear diffusion coefficient…

Optimization and Control · Mathematics 2015-02-03 M. B. Chiarolla , T. De Angelis

We investigate the stability of the equilibrium-induced optimal value in one-dimensional diffusion setting for a time-inconsistent stopping problem under non-exponential discounting. We show that the optimal value is semi-continuous with…

Probability · Mathematics 2022-10-04 Erhan Bayraktar , Zhenhua Wang , Zhou Zhou

We provide, in a general setting, explicit solutions for optimal stopping problems that involve a diffusion process and its running maximum. Besides, a new feature includes absorbing boundaries that vary with the value of the running…

Optimization and Control · Mathematics 2016-02-16 Masahiko Egami , Tadao Oryu

In this paper, we solve explicitly the optimal stopping problem with random discounting and an additive functional as cost of observations for a regular linear diffusion. We also extend the results to the class of one-sided regular Feller…

Probability · Mathematics 2012-11-06 Mamadou Cissé , Pierre Patie , Etienne Tanré

The value function of an optimal stopping problem for jump diffusions is known to be a generalized solution of a variational inequality. Assuming that the diffusion component of the process is nondegenerate and a mild assumption on the…

Optimization and Control · Mathematics 2012-03-16 Erhan Bayraktar , Hao Xing

Let $X$ be a one-dimensional diffusion and let $g\colon[0,T]\times\mathbb{R}\to\mathbb{R}$ be a payoff function depending on time and the value of $X$. The paper analyzes the inverse optimal stopping problem of finding a time-dependent…

Optimization and Control · Mathematics 2017-08-08 Thomas Kruse , Philipp Strack

For a type of employee stock option (ESO) and an American put option with a barrier, we obtain closed-form formulae for the value functions and provide a complete characterization for optimal stopping/continuation regions. Some comparison…

Probability · Mathematics 2017-08-11 Dongchao Huang , Jian Song

We provide, in a general setting, explicit solutions for optimal stopping problems that involve diffusion process and its running maximum. Our approach is to use the excursion theory for Levy processes. Since general diffusions are, in…

Optimization and Control · Mathematics 2016-09-13 Masahiko Egami , Tadao Oryu

We use the geometry of suitably generalised potentials to solve risk-sensitive Markovian optimal stopping problems. As in the linear case due to Dynkin and Yushkievich (1967), the value function is the pointwise infimum of those functions…

Optimization and Control · Mathematics 2025-06-12 Tomasz Kosmala , John Moriarty

In this paper, we introduce a modification of the free boundary problem related to optimal stopping problems for diffusion processes. This modification allows the application of this PDE method in cases where the usual regularity…

Probability · Mathematics 2008-12-18 Ludger Rüschendorf , Mikhail A. Urusov

In this paper, we propose a direct solution method for optimal switching problems of one-dimensional diffusions. This method is free from conjectures about the form of the value function and switching strategies, or does not require the…

Optimization and Control · Mathematics 2007-05-23 Masahiko Egami

In this paper we study optimal stopping problems for nonlinear Markov processes driven by a McKean-Vlasov SDE and aim at solving them numerically by Monte Carlo. To this end we propose a novel regression algorithm based on the corresponding…

Numerical Analysis · Mathematics 2018-06-26 Denis Belomestny , John Schoenmakers
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