Robust pricing and hedging of options on multiple assets and its numerics

We consider robust pricing and hedging for options written on multiple assets given market option prices for the individual assets. The resulting problem is called the multimarginal martingale optimal transport problem. We propose two numerical methods to solve such problems: using discretization an...

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Main Authors: Eckstein, S, Guo, G, Lim, T, Obłój, J
Format: Journal article
Language:English
Published: Society for Industrial and Applied Mathematics 2021
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author Eckstein, S
Guo, G
Lim, T
Obłój, J
author_facet Eckstein, S
Guo, G
Lim, T
Obłój, J
author_sort Eckstein, S
collection OXFORD
description We consider robust pricing and hedging for options written on multiple assets given market option prices for the individual assets. The resulting problem is called the multimarginal martingale optimal transport problem. We propose two numerical methods to solve such problems: using discretization and linear programming applied to the primal side and using penalization and deep neural networks optimization applied to the dual side. We prove convergence for our methods and compare their numerical performance. We show how adding further information about call option prices at additional maturities can be incorporated and narrows down the no-arbitrage pricing bounds. Finally, we obtain structural results for the case of the payoff given by a weighted sum of covariances between the assets.
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spelling oxford-uuid:05c3c181-bfdb-4231-9d28-e7ccde100e5e2022-03-26T08:58:47ZRobust pricing and hedging of options on multiple assets and its numericsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:05c3c181-bfdb-4231-9d28-e7ccde100e5eEnglishSymplectic ElementsSociety for Industrial and Applied Mathematics 2021Eckstein, SGuo, GLim, TObłój, JWe consider robust pricing and hedging for options written on multiple assets given market option prices for the individual assets. The resulting problem is called the multimarginal martingale optimal transport problem. We propose two numerical methods to solve such problems: using discretization and linear programming applied to the primal side and using penalization and deep neural networks optimization applied to the dual side. We prove convergence for our methods and compare their numerical performance. We show how adding further information about call option prices at additional maturities can be incorporated and narrows down the no-arbitrage pricing bounds. Finally, we obtain structural results for the case of the payoff given by a weighted sum of covariances between the assets.
spellingShingle Eckstein, S
Guo, G
Lim, T
Obłój, J
Robust pricing and hedging of options on multiple assets and its numerics
title Robust pricing and hedging of options on multiple assets and its numerics
title_full Robust pricing and hedging of options on multiple assets and its numerics
title_fullStr Robust pricing and hedging of options on multiple assets and its numerics
title_full_unstemmed Robust pricing and hedging of options on multiple assets and its numerics
title_short Robust pricing and hedging of options on multiple assets and its numerics
title_sort robust pricing and hedging of options on multiple assets and its numerics
work_keys_str_mv AT ecksteins robustpricingandhedgingofoptionsonmultipleassetsanditsnumerics
AT guog robustpricingandhedgingofoptionsonmultipleassetsanditsnumerics
AT limt robustpricingandhedgingofoptionsonmultipleassetsanditsnumerics
AT obłojj robustpricingandhedgingofoptionsonmultipleassetsanditsnumerics