Volume 65, 2019CEMRACS 2017 - Numerical methods for stochastic models: control, uncertainty quantification, mean-field
|Page(s)||145 - 181|
|Published online||02 April 2019|
Optimal inventory management and order book modeling *
Université Paris-Dauphine, PSL University, CNRS, CEREMADE, Paris and ENSAE-ParisTech, CREST
2 Université Paris-Dauphine, PSL University, CNRS, CEREMADE, Paris
e-mail: firstname.lastname@example.org Research of B. Bouchard partially supported by ANR CAESARS (ANR-15-CE05- 0024)
3 King Abdullah University of Science and Technology (KAUST), CEMSE Division, Thuwal 23955-6900. Saudi Arabia
e-mail: email@example.com D. Evangelista was partially supported by KAUST baseline funds and KAUST OSR-CRG2017-3452
4 CMAP, École Polytechnique
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.
Mathematics Subject Classification: 49L20 / 49L25
Key words: Optimal trading / market impact / optimal control
© EDP Sciences, SMAI 2019
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