Market-making strategy with asymmetric information and regime-switching

被引:4
|
作者
Yang, Qing-Qing [1 ]
Ching, Wai-Ki [1 ,2 ,3 ]
Gu, Jia-Wen [4 ]
Siu, Tak-Kuen [5 ]
机构
[1] Univ Hong Kong, Dept Math, Adv Modeling & Appl Comp Lab, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
[2] Hughes Hall,Wollaston Rd, Cambridge, England
[3] Beijing Univ Chem Technol, Sch Econ & Management, North Third Ring Rd, Beijing, Peoples R China
[4] Southern Univ Sci & Technol, Dept Math, Shenzhen, Peoples R China
[5] Macquarie Univ, Fac Business & Econ, Dept Actuarial Studies & Business Analyt, Sydney, NSW 2109, Australia
基金
中国国家自然科学基金;
关键词
Triggering events; Asymmetric information; Regime shifts; Optimal market-marking strategies; Information delay; PRICES; MODEL; ASK;
D O I
10.1016/j.jedc.2018.04.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
An event-triggered regime-switching jump-diffusion model is introduced with a view to incorporating the impact of asymmetric information on optimal trading decisions. The modeling structure is novel in the sense that it can disentangle the optimizing behavior of different types of traders, namely uninformed, partially informed and informed traders. Instead of establishing equilibrium results, all of the three types of traders are supposed to be price takers and determine their optimal trading strategies based on an "exogenously" given mid-price process. It is shown that traders, who have an access to more information about potential market turmoils, such as triggering events, are more aggressive on trading profits which are reflected in higher required liquidity premiums. The informed traders are more cautious in inventory controls through lowering their trading positions prior to the triggering events. With potential regime shifts, the feature of "information delay" about market efficiency is captured by allowing that the security market has a response time for a market shock. It is also shown that traders, who are informed about the information delay, not only gain a higher return, but also a higher level of standard deviation than traders who do not have the information. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:408 / 433
页数:26
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