Optimal stopping problem under random horizon
Tahir Choulli, Safa' Alsheyab

TL;DR
This paper investigates optimal stopping problems in a setting with a random horizon, such as credit risk or life insurance, analyzing how the unobservable random time impacts the solution and its mathematical structure.
Contribution
It characterizes the existence of solutions, derives the value process structure, and relates the problem to the observable filtration, advancing understanding of optimal stopping with random horizons.
Findings
Characterization of solution existence via observable processes
Mathematical structure of the value process
Connection to reflected backward stochastic differential equations
Abstract
This paper considers a pair , where is a filtration representing the "public" flow of information which is available to all agents overtime, and is a random time which might not be an -stopping time. This setting covers the case of credit risk framework where models the default time of a firm or client, and the setting of life insurance where is the death time of an agent. It is clear that random times can not be observed before their occurrence. Thus the larger filtration , which incorporates and makes observable, results from the progressive enlargement of with . For this informational setting, governed by , we analyze the optimal stopping problem in three main directions. The first direction consists of characterizing the existence of the solution to this…
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Taxonomy
TopicsStochastic processes and financial applications · Auction Theory and Applications · Risk and Portfolio Optimization
