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An Inverse Optimal Stopping Problem for Diffusion Processes

Thomas Kruse () and Philipp Strack ()
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Thomas Kruse: University of Duisburg-Essen, 45127 Essen, Germany

Mathematics of Operations Research, 2019, vol. 44, issue 2, 423-439

Abstract: Let X be a one-dimensional diffusion and let g be a real-valued function depending on time and the value of X . This article analyzes the inverse optimal stopping problem of finding a time-dependent real-valued function π depending only on time such that a given stopping time τ ⋆ is a solution of the stopping problem sup τ 𝔼 [ g ( τ , X τ ) + π ( τ ) ] .

Under regularity and monotonicity conditions, there exists such a transfer π if and only if τ ⋆ is the first time when X exceeds a time-dependent barrier b . We prove uniqueness of the solution π and derive a closed form representation. The representation is based on an auxiliary process that is a version of the original diffusion X reflected at b towards the continuation region. The results lead to a new integral equation characterizing the stopping boundary b of the stopping problem sup τ 𝔼 [ g ( τ , X τ ) ] .

Keywords: optimal stopping; reflected stochastic processes; dynamic mechanism design; dynamic implementability (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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https://doi.org/10.1287/moor.2018.0930 (application/pdf)

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Working Paper: An inverse optimal stopping problem for diffusion processes (2017) Downloads
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