activity
20132021
most citedA Mean Field Game of Portfolio Trading and Its Consequences On Perceived Correlations

20 citations · 24 across the 3 of their papers we have counts for

collaborators

8 papers

q-fin.TR2021

Phase Transitions in Kyle's Model with Market Maker Profit Incentives

Charles-Albert Lehalle, Eyal Neuman, Segev Shlomov

We consider a stochastic game between three types of players: an inside trader, noise traders and a market maker. In a similar fashion to Kyle's model, we assume that the insider f…

math.OC2020

Learning a functional control for high-frequency finance

Laura Leal, Mathieu Laurière, Charles-Albert Lehalle

We use a deep neural network to generate controllers for optimal trading on high frequency data. For the first time, a neural network learns the mapping between the preferences of…

q-fin.TR201920 cited

A Mean Field Game of Portfolio Trading and Its Consequences On Perceived Correlations

Charles-Albert Lehalle, Charafeddine Mouzouni

This paper goes beyond the optimal trading Mean Field Game model introduced by Pierre Cardaliaguet and Charles-Albert Lehalle in [Cardaliaguet, P. and Lehalle, C.-A., Mean field ga…

q-fin.TR2018

Optimal trading using signals

Hadrien De March, Charles-Albert Lehalle

In this paper we propose a mathematical framework to address the uncertainty emergingwhen the designer of a trading algorithm uses a threshold on a signal as a control. We rely ona…

q-fin.TR2018

Co-impact: Crowding effects in institutional trading activity

Frédéric Bucci, Iacopo Mastromatteo, Zoltán Eisler +3

This paper is devoted to the important yet unexplored subject of crowding effects on market impact, that we call "co-impact". Our analysis is based on a large database of metaorder…

q-fin.TR2018

Optimal liquidity-based trading tactics

Charles-Albert Lehalle, Othmane Mounjid, Mathieu Rosenbaum

We consider an agent who needs to buy (or sell) a relatively small amount of asset over some fixed short time interval. We work at the highest frequency meaning that we wish to fin…