Optimal Strategy for Limit Order Book Submissions in High Frequency Trading

被引:0
|
作者
Song, Na [1 ]
Xie, Yue [2 ]
Ching, Wai-Ki [2 ]
Siu, Tak-Kuen [3 ]
Yiu, Cedric Ka-Fai [4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610054, Peoples R China
[2] Univ Hong Kong, Dept Math, Adv Modeling & Appl Comp Lab, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
[3] Macquarie Univ, Fac Business & Econ, Dept Appl Finance & Actuarial Studies, Sydney, NSW 2109, Australia
[4] Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
关键词
High-frequency trading; Limit Order Book (LOB); Diffusion Approximation; Hamilton-Jacobi-Bellman (HJB) Equation; APPROXIMATION;
D O I
10.4208/eajam.230515.160316a
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
An optimal selection problem for bid and ask quotes subject to a stock inventory constraint is investigated, formulated as a constrained utility maximisation problem over a finite time horizon. The arrivals of buy and sell orders are governed by Poisson processes, and a diffusion approximation is employed on assuming the Poisson arrivals intensity is sufficiently large. Using the dynamic programming principle, we adopt an efficient numerical procedure to solve this constrained utility maximisation problem based on a successive approximation algorithm, and conduct numerical experiments to analyse the impacts of the inventory constraint on a dealer's terminal profit and stock inventory level. It is found that the stock inventory constraint significantly affects the terminal stock inventory level.
引用
收藏
页码:222 / 234
页数:13
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