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20192024
most citedMarket making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

8 citations · 12 across the 14 of their papers we have counts for

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9 papers · 1 filter

q-fin.TR2021

Optimal Turnover, Liquidity, and Autocorrelation

Bastien Baldacci, Jerome Benveniste, Gordon Ritter

The steady-state turnover of a trading strategy is of clear interest to practitioners and portfolio managers, as is the steady-state Sharpe ratio. In this article, we show that in…

q-fin.TR2020

Optimal trading without optimal control

Bastien Baldacci, Jerome Benveniste, Gordon Ritter

A hypothetical risk-neutral agent who trades to maximize the expected profit of the next trade will approximately exhibit long-term optimal behavior as long as this agent uses the…

q-fin.TR2020

High-frequency dynamics of the implied volatility surface

Bastien Baldacci

We present a Hawkes modeling of the volatility surface's high-frequency dynamics and show how the Hawkes kernel coefficients govern the surface's skew and convexity. We provide sim…

q-fin.TR2020★ 1 cited

An approximate solution for options market-making in high dimension

Bastien Baldacci, Joffrey Derchu, Iuliia Manziuk

Managing a book of options on several underlying involves controlling positions of several thousands of financial assets. It is one of the most challenging financial problems invol…

q-fin.TR2020

Adaptive trading strategies across liquidity pools

Bastien Baldacci, Iuliia Manziuk

In this article, we provide a flexible framework for optimal trading in an asset listed on different venues. We take into account the dependencies between the imbalance and spread…

q-fin.TR2020

A note on Almgren-Chriss optimal execution problem with geometric Brownian motion

Bastien Baldacci, Jerome Benveniste

We solve explicitly the Almgren-Chriss optimal liquidation problem where the stock price process follows a geometric Brownian motion. Our technique is to work in terms of cash and…