activity
20092026
most citedDealing with the Inventory Risk. A solution to the market making problem

218 citations · 393 across the 16 of their papers we have counts for

collaborators

25 papers

q-fin.ST2026

The Fundamental Structure of Risk: From Characteristics to Covariance

Alexandre Alouadi, Charles-Albert Lehalle

Estimating the covariance structure of financial assets typically relies on historical returns, making risk models dependent on noisy and asset-specific time series. We propose the…

q-fin.ST2021

Do Word Embeddings Really Understand Loughran-McDonald's Polarities?

Mengda Li, Charles-Albert Lehalle

In this paper we perform a rigorous mathematical analysis of the word2vec model, especially when it is equipped with the Skip-gram learning scheme. Our goal is to explain how embed…

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…

cs.LG2019★ 2 cited

Improving reinforcement learning algorithms: towards optimal learning rate policies

Othmane Mounjid, Charles-Albert Lehalle

This paper investigates to what extent one can improve reinforcement learning algorithms. Our study is split in three parts. First, our analysis shows that the classical asymptotic…

q-fin.ST2019★ 1 cited

Transaction Cost Analytics for Corporate Bonds

Xin Guo, Charles-Albert Lehalle, Renyuan Xu

The electronic platform has been increasingly popular for executing large corporate bond orders by asset managers, who in turn have to assess the quality of their executions via Tr…

q-fin.TR2019★ 20 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★ 1 cited

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…

q-fin.TR2017★ 4 cited

Incorporating Signals into Optimal Trading

Charles-Albert Lehalle, Eyal Neuman

Optimal trading is a recent field of research which was initiated by Almgren, Chriss, Bertsimas and Lo in the late 90's. Its main application is slicing large trading orders, in th…

q-fin.TR2016

Mean Field Game of Controls and An Application To Trade Crowding

Pierre Cardaliaguet, Charles-Albert Lehalle

In this paper we formulate the now classical problem of optimal liquidation (or optimal trading) inside a Mean Field Game (MFG). This is a noticeable change since usually mathemati…

q-fin.TR2016

Limit Order Strategic Placement with Adverse Selection Risk and the Role of Latency

Charles-Albert Lehalle, Othmane Mounjid

This paper is split in three parts: first we use labelled trade data to exhibit how market participants accept or not transactions via limit orders as a function of liquidity imbal…

q-fin.TR2015★ 1 cited

How to predict the consequences of a tick value change? Evidence from the Tokyo Stock Exchange pilot program

Weibing Huang, Charles-Albert Lehalle, Mathieu Rosenbaum

The tick value is a crucial component of market design and is often considered the most suitable tool to mitigate the effects of high frequency trading. The goal of this paper is t…

q-fin.TR2014

Market impacts and the life cycle of investors orders

Emmanuel Bacry, Adrian Iuga, Matthieu Lasnier +1

In this paper, we use a database of around 400,000 metaorders issued by investors and electronically traded on European markets in 2010 in order to study market impact at different…

q-fin.TR2013★ 3 cited

Simulating and analyzing order book data: The queue-reactive model

Weibing Huang, Charles-Albert Lehalle, Mathieu Rosenbaum

Through the analysis of a dataset of ultra high frequency order book updates, we introduce a model which accommodates the empirical properties of the full order book together with…

q-fin.TR2013

Efficiency of the Price Formation Process in Presence of High Frequency Participants: a Mean Field Game analysis

Aimé Lachapelle, Jean-Michel Lasry, Charles-Albert Lehalle +1

This paper deals with a stochastic order-driven market model with waiting costs, for order books with heterogenous traders. Offer and demand of liquidity drives price formation and…

q-fin.TR2013★ 1 cited

Realtime market microstructure analysis: online Transaction Cost Analysis

Robert Azencott, Arjun Beri, Yutheeka Gadhyan +3

Motivated by the practical challenge in monitoring the performance of a large number of algorithmic trading orders, this paper provides a methodology that leads to automatic discov…

q-fin.TR2013★ 3 cited

Market Microstructure Knowledge Needed for Controlling an Intra-Day Trading Process

Charles-Albert Lehalle

A great deal of academic and theoretical work has been dedicated to optimal liquidation of large orders these last twenty years. The optimal split of an order through time (`optima…

q-fin.TR2012

Optimal starting times, stopping times and risk measures for algorithmic trading: Target Close and Implementation Shortfall

Mauricio Labadie, Charles-Albert Lehalle

We derive explicit recursive formulas for Target Close (TC) and Implementation Shortfall (IS) in the Almgren-Chriss framework. We explain how to compute the optimal starting and st…

q-fin.TR2012★ 1 cited

General Intensity Shapes in Optimal Liquidation

Olivier Guéant, Charles-Albert Lehalle

The classical literature on optimal liquidation, rooted in Almgren-Chriss models, tackles the optimal liquidation problem using a trade-off between market impact and price risk. Th…

q-fin.TR2011★ 2 cited

Optimal posting price of limit orders: learning by trading

Sophie Laruelle, Charles-Albert Lehalle, Gilles Pagès

Considering that a trader or a trading algorithm interacting with markets during continuous auctions can be modeled by an iterating procedure adjusting the price at which he posts…

q-fin.TR2011★ 135 cited

Optimal Portfolio Liquidation with Limit Orders

Olivier Guéant, Charles-Albert Lehalle, Joaquin Fernandez Tapia

This paper addresses the optimal scheduling of the liquidation of a portfolio using a new angle. Instead of focusing only on the scheduling aspect like Almgren and Chriss, or only…

q-fin.TR2011★ 218 cited

Dealing with the Inventory Risk. A solution to the market making problem

Olivier Guéant, Charles-Albert Lehalle, Joaquin Fernandez Tapia

Market makers continuously set bid and ask quotes for the stocks they have under consideration. Hence they face a complex optimization problem in which their return, based on the b…