Superhedging under Proportional Transaction Costs in Continuous Time

Fuente: arXiv
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Main Authors: Almuzaini, Atiqah, Ararat, Çağın, Ma, Jin
Format: Preprint
Published: 2025
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author Almuzaini, Atiqah
Ararat, Çağın
Ma, Jin
author_facet Almuzaini, Atiqah
Ararat, Çağın
Ma, Jin
contents We revisit the well-studied superhedging problem under proportional transaction costs in continuous time using the recently developed tools of set-valued stochastic analysis. By relying on a simple Black-Scholes-type market model for mid-prices and using continuous trading schemes, we define a dynamic family of superhedging sets in continuous time and express them in terms of set-valued integrals. We show that these sets, defined as subsets of Lebesgue spaces at different times, form a dynamic set-valued risk measure with multi-portfolio time-consistency. Finally, we transfer the problem formulation to a path-space setting and introduce approximate versions of superhedging sets that will involve relaxing the superhedging inequality, the superhedging probability, and the solvency requirement for the superhedging strategy with a predetermined error level. In this more technical framework, we are able to relate the approximate superhedging sets at different times by means of a set-valued Bellman's principle, which we believe will pave the way for a set-valued differential structure that characterizes the superhedging sets.
format Preprint
id arxiv_https___arxiv_org_abs_2511_18169
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Superhedging under Proportional Transaction Costs in Continuous Time
Almuzaini, Atiqah
Ararat, Çağın
Ma, Jin
Risk Management
Optimization and Control
Probability
26E25, 28B20, 60H10, 91G70, 93E20
We revisit the well-studied superhedging problem under proportional transaction costs in continuous time using the recently developed tools of set-valued stochastic analysis. By relying on a simple Black-Scholes-type market model for mid-prices and using continuous trading schemes, we define a dynamic family of superhedging sets in continuous time and express them in terms of set-valued integrals. We show that these sets, defined as subsets of Lebesgue spaces at different times, form a dynamic set-valued risk measure with multi-portfolio time-consistency. Finally, we transfer the problem formulation to a path-space setting and introduce approximate versions of superhedging sets that will involve relaxing the superhedging inequality, the superhedging probability, and the solvency requirement for the superhedging strategy with a predetermined error level. In this more technical framework, we are able to relate the approximate superhedging sets at different times by means of a set-valued Bellman's principle, which we believe will pave the way for a set-valued differential structure that characterizes the superhedging sets.
title Superhedging under Proportional Transaction Costs in Continuous Time
topic Risk Management
Optimization and Control
Probability
26E25, 28B20, 60H10, 91G70, 93E20
url https://arxiv.org/abs/2511.18169