Portfolio optimization under a quantile hedging constraint

We study a problem of portfolio optimization under a European quantile hedging constraint. More precisely, we consider a class of Markovian optimal stochastic control problems in which two controlled processes must meet a probabilistic shortfall constraint at some terminal date. We denote by V the c...

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Main Author: Bouveret, G
Format: Journal article
Published: World Scientific Publishing 2018
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author Bouveret, G
author_facet Bouveret, G
author_sort Bouveret, G
collection OXFORD
description We study a problem of portfolio optimization under a European quantile hedging constraint. More precisely, we consider a class of Markovian optimal stochastic control problems in which two controlled processes must meet a probabilistic shortfall constraint at some terminal date. We denote by V the corresponding value function. Following the arguments introduced in the literature on stochastic target problems, we convert this problem into a state constraint one in which the constraint is defined by means of an auxiliary value function v characterizing the reachable set. This set is therefore not given a priori but is naturally integrated in v solving, in a viscosity sense, a nonlinear parabolic partial differential equation (PDE). Relying on the existing literature, we derive, in the interior of the domain, a Hamilton–Jacobi–Bellman characterization of V. However, v involves an additional controlled state variable coming from the diffusion of the probability of reaching the target and belonging to the compact set [0,1]. This leads to nontrivial boundaries for V that must be discussed. Our main result is thus the characterization of V at those boundaries. We also provide examples for which comparison results exist for the PDE solved by V on the interior of the domain.
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spelling oxford-uuid:cfbd3eca-5953-4017-83e0-efdafd3f65fe2022-03-27T07:44:49ZPortfolio optimization under a quantile hedging constraintJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cfbd3eca-5953-4017-83e0-efdafd3f65feSymplectic Elements at OxfordWorld Scientific Publishing2018Bouveret, GWe study a problem of portfolio optimization under a European quantile hedging constraint. More precisely, we consider a class of Markovian optimal stochastic control problems in which two controlled processes must meet a probabilistic shortfall constraint at some terminal date. We denote by V the corresponding value function. Following the arguments introduced in the literature on stochastic target problems, we convert this problem into a state constraint one in which the constraint is defined by means of an auxiliary value function v characterizing the reachable set. This set is therefore not given a priori but is naturally integrated in v solving, in a viscosity sense, a nonlinear parabolic partial differential equation (PDE). Relying on the existing literature, we derive, in the interior of the domain, a Hamilton–Jacobi–Bellman characterization of V. However, v involves an additional controlled state variable coming from the diffusion of the probability of reaching the target and belonging to the compact set [0,1]. This leads to nontrivial boundaries for V that must be discussed. Our main result is thus the characterization of V at those boundaries. We also provide examples for which comparison results exist for the PDE solved by V on the interior of the domain.
spellingShingle Bouveret, G
Portfolio optimization under a quantile hedging constraint
title Portfolio optimization under a quantile hedging constraint
title_full Portfolio optimization under a quantile hedging constraint
title_fullStr Portfolio optimization under a quantile hedging constraint
title_full_unstemmed Portfolio optimization under a quantile hedging constraint
title_short Portfolio optimization under a quantile hedging constraint
title_sort portfolio optimization under a quantile hedging constraint
work_keys_str_mv AT bouveretg portfoliooptimizationunderaquantilehedgingconstraint