activity
20242026
collaborators

5 papers

math.OC2026

Higher-Order Sensitivity Analysis of Wasserstein and Adapted Wasserstein Distributionally Robust Optimization Problems

Nathan Sauldubois

We investigate the higher-order expansions of the sensitivities of functionals of probability measures. Building on the work of \citeauthor{bartl2021sensitivity} \cite{bartl2021sen…

math.PR2026

Projected McKean--Vlasov Dynamics for Entropic Weak Optimal Transport

Nathan Sauldubois, Xin Zhang

Unlike classical optimal transport, weak transport costs depend nonlinearly on the conditional law of couplings. This feature is essential in problems involving barycenter, conditi…

math.PR2026

Model Risk Static-Hedging a Constrained Distributionally Robust Optimization approach

Nathan Sauldubois

We investigate model risk and distributionally robust optimization (DRO) under marginal and martingale constraints. Building on our previous work, we address the previously open ca…

math.OC2025

Sensitivity Analysis of Distributionally Robust BSDEs and RBSDEs

Arthur Compoint, Nathan Sauldubois, Nizar Touzi

We examine the sensitivity properties of backward stochastic differential equations and reflected backward stochastic differential equations, which naturally arise in the context o…

q-fin.MF2024

First order Martingale model risk and semi-static hedging

Nathan Sauldubois, Nizar Touzi

We investigate model risk distributionally robust sensitivities for functionals on the Wasserstein space when the underlying model is constrained to the martingale class and/or is…