Approximation of martingale couplings on the line in the adapted weak topology

Author:

Beiglböck M.,Jourdain B.,Margheriti W.,Pammer G.ORCID

Abstract

AbstractOur main result is to establish stability of martingale couplings: suppose that $$\pi $$ π is a martingale coupling with marginals $$\mu , \nu $$ μ , ν . Then, given approximating marginal measures $$\tilde{\mu }\approx \mu , \tilde{\nu }\approx \nu $$ μ ~ μ , ν ~ ν in convex order, we show that there exists an approximating martingale coupling $$\tilde{\pi }\approx \pi $$ π ~ π with marginals $$\tilde{\mu }, \tilde{\nu }$$ μ ~ , ν ~ . In mathematical finance, prices of European call/put option yield information on the marginal measures of the arbitrage free pricing measures. The above result asserts that small variations of call/put prices lead only to small variations on the level of arbitrage free pricing measures. While these facts have been anticipated for some time, the actual proof requires somewhat intricate stability results for the adapted Wasserstein distance. Notably the result has consequences for several related problems. Specifically, it is relevant for numerical approximations, it leads to a new proof of the monotonicity principle of martingale optimal transport and it implies stability of weak martingale optimal transport as well as optimal Skorokhod embedding. On the mathematical finance side this yields continuity of the robust pricing problem for exotic options and VIX options with respect to market data. These applications will be detailed in two companion papers.

Funder

Austrian Science Fund

Fondation du Risque

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Reference55 articles.

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1. Stability of the weak martingale optimal transport problem;The Annals of Applied Probability;2023-12-01

2. Lipschitz continuity of the Wasserstein projections in the convex order on the line;Electronic Communications in Probability;2023-01-01

3. One Dimensional Martingale Rearrangement Couplings;ESAIM: Probability and Statistics;2022

4. Instability of martingale optimal transport in dimension d≥2;Electronic Communications in Probability;2022-01-01

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