TY - JOUR
T1 - Optimal inventory management and order book modeling
AU - Baradel, Nicolas
AU - Bouchard, Bruno
AU - Evangelista, David
AU - Mounjid, Othmane
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research is part of a Cemracs 2017 project and benefited from the support of the Initiative de Recherche from Kepler-Chevreux and Collège de France. We are very grateful for the support of P. Besson and his team.
PY - 2019/4/2
Y1 - 2019/4/2
N2 - We model the behavior of three agent classes acting dynamically in a limit order book of a financial asset. Namely, we consider market makers (MM), high-frequency trading (HFT) firms, and institutional brokers (IB). Given a prior dynamic of the order book, similar to the one considered in the Queue-Reactive models [12, 18, 19], the MM and the HFT define their trading strategy by optimizing the expected utility of terminal wealth, while the IB has a prescheduled task to sell or buy many shares of the considered asset. We derive the variational partial differential equations that characterize the value functions of the MM and HFT and explain how almost optimal control can be deduced from them. We then provide a first illustration of the interactions that can take place between these different market participants by simulating the dynamic of an order book in which each of them plays his own (optimal) strategy.
AB - We model the behavior of three agent classes acting dynamically in a limit order book of a financial asset. Namely, we consider market makers (MM), high-frequency trading (HFT) firms, and institutional brokers (IB). Given a prior dynamic of the order book, similar to the one considered in the Queue-Reactive models [12, 18, 19], the MM and the HFT define their trading strategy by optimizing the expected utility of terminal wealth, while the IB has a prescheduled task to sell or buy many shares of the considered asset. We derive the variational partial differential equations that characterize the value functions of the MM and HFT and explain how almost optimal control can be deduced from them. We then provide a first illustration of the interactions that can take place between these different market participants by simulating the dynamic of an order book in which each of them plays his own (optimal) strategy.
UR - http://hdl.handle.net/10754/627529
UR - https://www.esaim-proc.org/10.1051/proc/201965145
U2 - 10.1051/proc/201965145
DO - 10.1051/proc/201965145
M3 - Article
SN - 2267-3059
VL - 65
SP - 145
EP - 181
JO - ESAIM: Proceedings and Surveys
JF - ESAIM: Proceedings and Surveys
ER -