Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps

<p style="text-align:justify;">We propose a class of numerical schemes for mixed optimal stopping and control of processes with infinite activity jumps and where the objective is evaluated by a nonlinear expectation. Exploiting an approximation by switching systems, piecewise consta...

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Main Authors: Dumitrescu, R, Reisinger, C, Zhang, Y
Format: Journal article
Language:English
Published: Springer Nature 2019
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author Dumitrescu, R
Reisinger, C
Zhang, Y
author_facet Dumitrescu, R
Reisinger, C
Zhang, Y
author_sort Dumitrescu, R
collection OXFORD
description <p style="text-align:justify;">We propose a class of numerical schemes for mixed optimal stopping and control of processes with infinite activity jumps and where the objective is evaluated by a nonlinear expectation. Exploiting an approximation by switching systems, piecewise constant policy timestepping reduces the problem to nonlocal semi-linear equations with different control parameters, uncoupled over individual time steps, which we solve by fully implicit monotone approximations to the controlled diffusion and the nonlocal term, and specifically the Lax–Friedrichs scheme for the nonlinearity in the gradient. We establish a comparison principle for the switching system and demonstrate the convergence of the schemes, which subsequently gives a constructive proof for the existence of a solution to the switching system. Numerical experiments are presented for a recursive utility maximization problem to demonstrate the effectiveness of the new schemes.</p>
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spelling oxford-uuid:3370f610-d151-4920-8435-f5d90b5a34d52022-03-26T13:20:21ZApproximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumpsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3370f610-d151-4920-8435-f5d90b5a34d5EnglishSymplectic Elements at OxfordSpringer Nature2019Dumitrescu, RReisinger, CZhang, Y <p style="text-align:justify;">We propose a class of numerical schemes for mixed optimal stopping and control of processes with infinite activity jumps and where the objective is evaluated by a nonlinear expectation. Exploiting an approximation by switching systems, piecewise constant policy timestepping reduces the problem to nonlocal semi-linear equations with different control parameters, uncoupled over individual time steps, which we solve by fully implicit monotone approximations to the controlled diffusion and the nonlocal term, and specifically the Lax–Friedrichs scheme for the nonlinearity in the gradient. We establish a comparison principle for the switching system and demonstrate the convergence of the schemes, which subsequently gives a constructive proof for the existence of a solution to the switching system. Numerical experiments are presented for a recursive utility maximization problem to demonstrate the effectiveness of the new schemes.</p>
spellingShingle Dumitrescu, R
Reisinger, C
Zhang, Y
Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title_full Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title_fullStr Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title_full_unstemmed Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title_short Approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
title_sort approximation schemes for mixed optimal stopping and control problems with nonlinear expectations and jumps
work_keys_str_mv AT dumitrescur approximationschemesformixedoptimalstoppingandcontrolproblemswithnonlinearexpectationsandjumps
AT reisingerc approximationschemesformixedoptimalstoppingandcontrolproblemswithnonlinearexpectationsandjumps
AT zhangy approximationschemesformixedoptimalstoppingandcontrolproblemswithnonlinearexpectationsandjumps