activity
20152021
most citedSuper-replication with proportional transaction cost under model uncertainty

12 citations · 16 across the 4 of their papers we have counts for

collaborators

11 papers

math.AP2021

Approximate viscosity solutions of path-dependent PDEs and Dupire's vertical differentiability

Bruno Bouchard, Grégoire Loeper, Xiaolu Tan

We introduce a notion of approximate viscosity solution for a class of nonlinear path-dependent PDEs (PPDEs), including the Hamilton-Jacobi-Bellman type equations. Existence, compa…

math.OC2020

A quasi-sure optional decomposition and super-hedging result on the Skorokhod space

Bruno Bouchard, Xiaolu Tan

We prove a robust super-hedging duality result for path-dependent options on assets with jumps, in a continuous time setting. It requires that the collection of martingale measures…

math.PR20203 cited

Understanding the dual formulation for the hedging of path-dependent options with price impact

Bruno Bouchard, Xiaolu Tan

We consider a general path-dependent version of the hedging problem with price impact of Bouchard et al. (2019), in which a dual formulation for the super-hedging price is obtained…

math.OC2020

McKean-Vlasov optimal control: limit theory and equivalence between different formulations

Fabrice Mao Djete, Dylan Possamaï, Xiaolu Tan

We study a McKean-Vlasov optimal control problem with common noise, in order to establish the corresponding limit theory, as well as the equivalence between different formulations,…

math.OC20191 cited

Mean Field Games with Branching

Julien Claisse, Zhenjie Ren, Xiaolu Tan

Mean field games are concerned with the limit of large-population stochastic differential games where the agents interact through their empirical distribution. In the classical set…

math.OC2019

McKean-Vlasov optimal control: the dynamic programming principle

Mao Fabrice Djete, Dylan Possamaï, Xiaolu Tan

We study the McKean-Vlasov optimal control problem with common noise in various formulations, namely the strong and weak formulation, as well as the Markovian and non-Markovian for…