activity
20152021
most citedMarket making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

8 citations · 8 across the 2 of their papers we have counts for

collaborators

12 papers

math.PR2021

On Z-mean reflected BSDEs

Joffrey Derchu, Thibaut Mastrolia

In this paper we provide conditions for the existence of supersolutions to BSDEs with mean-reflections on the component. We show that, contrary to BSDEs with mean-reflections o…

q-fin.TR2020

AHEAD : Ad-Hoc Electronic Auction Design

Joffrey Derchu, Philippe Guillot, Thibaut Mastrolia +1

We introduce a new matching design for financial transactions in an electronic market. In this mechanism, called ad-hoc electronic auction design (AHEAD), market participants can t…

q-fin.MF20198 cited

Market making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

Bastien Baldacci, Iuliia Manziuk, Thibaut Mastrolia +1

We consider the issue of a market maker acting at the same time in the lit and dark pools of an exchange. The exchange wishes to establish a suitable make-take fees policy to attra…

math.PR2019

Scaling limit for stochastic control problems in population dynamics

Paul Jusselin, Thibaut Mastrolia

Going from a scaling approach for birth/death processes, we investigate the scaling limit of solutions to non-Markovian stochastic control problems by studying the convergence of s…

math.PR2019

Regulation of renewable resource exploitation

Idris Kharroubi, Thomas Lim, Thibaut Mastrolia

We investigate the impact of a regulation policy imposed on an agent exploiting a possibly renewable natural resource. We adopt a principal-agent model in which the Principal looks…

q-fin.TR2019

Optimal auction duration: A price formation viewpoint

Paul Jusselin, Thibaut Mastrolia, Mathieu Rosenbaum

We consider an auction market in which market makers fill the order book during a given time period while some other investors send market orders. We define the clearing price of t…