Bid--Ask Martingale Optimal Transport

Fuente: arXiv
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Hauptverfasser: Liang, Bryan, Nutz, Marcel, Sheng, Shunan, Tissot-Daguette, Valentin
Format: Preprint
Veröffentlicht: 2026
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author Liang, Bryan
Nutz, Marcel
Sheng, Shunan
Tissot-Daguette, Valentin
author_facet Liang, Bryan
Nutz, Marcel
Sheng, Shunan
Tissot-Daguette, Valentin
contents Martingale Optimal Transport (MOT) provides a framework for robust pricing and hedging of illiquid derivatives. Classical MOT enforces exact calibration of model marginals to the mid-prices of vanilla options. Motivated by the industry practice of fitting bid and ask marginals to vanilla prices, we introduce a relaxation of MOT in which model-implied volatilities are only required to lie within observed bid--ask spreads; equivalently, model marginals lie between the bid and ask marginals in convex order. The resulting Bid--Ask MOT (BAMOT) yields realistic price bounds for illiquid derivatives and, via strong duality, can be interpreted as the superhedging price when short and long positions in vanilla options are priced at the bid and ask, respectively. We further establish convergence of BAMOT to classical MOT as bid--ask spreads vanish, and quantify the convergence rate using a novel distance intrinsically linked to bid--ask spreads. Finally, we support our findings with several synthetic and real-data examples.
format Preprint
id arxiv_https___arxiv_org_abs_2603_24605
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Bid--Ask Martingale Optimal Transport
Liang, Bryan
Nutz, Marcel
Sheng, Shunan
Tissot-Daguette, Valentin
Mathematical Finance
Functional Analysis
Optimization and Control
Probability
Pricing of Securities
Martingale Optimal Transport (MOT) provides a framework for robust pricing and hedging of illiquid derivatives. Classical MOT enforces exact calibration of model marginals to the mid-prices of vanilla options. Motivated by the industry practice of fitting bid and ask marginals to vanilla prices, we introduce a relaxation of MOT in which model-implied volatilities are only required to lie within observed bid--ask spreads; equivalently, model marginals lie between the bid and ask marginals in convex order. The resulting Bid--Ask MOT (BAMOT) yields realistic price bounds for illiquid derivatives and, via strong duality, can be interpreted as the superhedging price when short and long positions in vanilla options are priced at the bid and ask, respectively. We further establish convergence of BAMOT to classical MOT as bid--ask spreads vanish, and quantify the convergence rate using a novel distance intrinsically linked to bid--ask spreads. Finally, we support our findings with several synthetic and real-data examples.
title Bid--Ask Martingale Optimal Transport
topic Mathematical Finance
Functional Analysis
Optimization and Control
Probability
Pricing of Securities
url https://arxiv.org/abs/2603.24605