Robust estimation of superhedging prices

We consider statistical estimation of superhedging prices using historical stock returns in a frictionless market with d traded assets. We introduce a plug-in estimator based on empirical measures and show it is consistent but lacks suitable robustness. To address this, we propose novel estimators...

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Main Authors: Obloj, J, Wiesel, J
Format: Journal article
Language:English
Published: Institute of Mathematical Statistics 2021
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author Obloj, J
Wiesel, J
author_facet Obloj, J
Wiesel, J
author_sort Obloj, J
collection OXFORD
description We consider statistical estimation of superhedging prices using historical stock returns in a frictionless market with d traded assets. We introduce a plug-in estimator based on empirical measures and show it is consistent but lacks suitable robustness. To address this, we propose novel estimators which use a larger set of martingale measures defined through a tradeoff between the radius of Wasserstein balls around the empirical measure and the allowed norm of martingale densities. We then extend our study, in part, to estimation of risk measures, to the case of markets with traded options, to a multi-period setting and to settings with model uncertainty. We also study convergence rates of estimators and convergence of super-hedging strategies.
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spelling oxford-uuid:7836742d-2df3-4996-b2cd-66d408086c4e2022-03-26T20:29:17ZRobust estimation of superhedging pricesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7836742d-2df3-4996-b2cd-66d408086c4eEnglishSymplectic ElementsInstitute of Mathematical Statistics2021Obloj, JWiesel, JWe consider statistical estimation of superhedging prices using historical stock returns in a frictionless market with d traded assets. We introduce a plug-in estimator based on empirical measures and show it is consistent but lacks suitable robustness. To address this, we propose novel estimators which use a larger set of martingale measures defined through a tradeoff between the radius of Wasserstein balls around the empirical measure and the allowed norm of martingale densities. We then extend our study, in part, to estimation of risk measures, to the case of markets with traded options, to a multi-period setting and to settings with model uncertainty. We also study convergence rates of estimators and convergence of super-hedging strategies.
spellingShingle Obloj, J
Wiesel, J
Robust estimation of superhedging prices
title Robust estimation of superhedging prices
title_full Robust estimation of superhedging prices
title_fullStr Robust estimation of superhedging prices
title_full_unstemmed Robust estimation of superhedging prices
title_short Robust estimation of superhedging prices
title_sort robust estimation of superhedging prices
work_keys_str_mv AT oblojj robustestimationofsuperhedgingprices
AT wieselj robustestimationofsuperhedgingprices