KAUST DepartmentApplied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/627529
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AbstractWe 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.
CitationBaradel, N., Bouchard, B., Evangelista, D., & Mounjid, O. (2019). Optimal inventory management and order book modeling. ESAIM: Proceedings and Surveys, 65, 145–181. doi:10.1051/proc/201965145
SponsorsThis 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.
JournalESAIM: Proceedings and Surveys
Except where otherwise noted, this item's license is described as Archived with thanks to ESAIM: Proceedings and Surveys