December 2023 Stability of the weak martingale optimal transport problem
Mathias Beiglböck, Benjamin Jourdain, William Margheriti, Gudmund Pammer
Author Affiliations +
Ann. Appl. Probab. 33(6B): 5382-5412 (December 2023). DOI: 10.1214/23-AAP1950

Abstract

While many questions in (robust) finance can be posed in the martingale optimal transport (MOT) framework, others require to consider also nonlinear cost functionals. Following the terminology of Gozlan, Roberto, Samson and Tetali (J. Funct. Anal. 273 (2017) 3327–3405) for classical optimal transport, this corresponds to weak martingale optimal transport (WMOT).

In this article we establish stability of WMOT which is important since financial data can give only imprecise information on the underlying marginals. As application, we deduce the stability of the superreplication bound for VIX futures as well as the stability of the stretched Brownian motion and we derive a monotonicity principle for WMOT.

Funding Statement

MB acknowledges support from FWF through grant no. Y00782. WM acknowledges support from the “Chaire Risques Financiers”, Fondation du Risque. GP acknowledges support from the Austrian Science Fund (FWF) through grant number W1245.

Citation

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Mathias Beiglböck. Benjamin Jourdain. William Margheriti. Gudmund Pammer. "Stability of the weak martingale optimal transport problem." Ann. Appl. Probab. 33 (6B) 5382 - 5412, December 2023. https://doi.org/10.1214/23-AAP1950

Information

Received: 1 April 2022; Revised: 1 November 2022; Published: December 2023
First available in Project Euclid: 13 December 2023

MathSciNet: MR4677736
Digital Object Identifier: 10.1214/23-AAP1950

Subjects:
Primary: 49Q22 , 60G42 , 91G80

Keywords: Convex order , martingale couplings , Martingale optimal transport , robust finance , stability , VIX futures , weak optimal transport

Rights: Copyright © 2023 Institute of Mathematical Statistics

Vol.33 • No. 6B • December 2023
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