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
相关论文
共 50 条
  • [41] Optimal market-Making strategies under synchronised order arrivals with deep neural networks
    Choi, So Eun
    Jang, Hyun Jin
    Lee, Kyungsub
    Zheng, Harry
    JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2021, 125
  • [42] RISK SENSITIVE PORTFOLIO OPTIMIZATION WITH DEFAULT CONTAGION AND REGIME-SWITCHING
    Bo, Lijun
    Liao, Huafu
    Yu, Xiang
    SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2019, 57 (01) : 366 - 401
  • [43] Dynamic Commodity Portfolio Management: A Regime-switching VAR Model
    Singhal, Shelly
    Biswal, Pratap Chandra
    GLOBAL BUSINESS REVIEW, 2021, 22 (02) : 532 - 549
  • [44] Option pricing in regime-switching frameworks with the Extended Girsanov Principle
    Godin, Frederic
    Trottier, Denis-Alexandre
    INSURANCE MATHEMATICS & ECONOMICS, 2021, 99 : 116 - 129
  • [45] Military spending and economic growth in China: a regime-switching analysis
    Ali, F. Menla
    Dimitraki, O.
    APPLIED ECONOMICS, 2014, 46 (28) : 3408 - 3420
  • [46] A MARKOV REGIME-SWITCHING ARMA APPROACH FOR HEDGING STOCK INDICES
    Chen, Chao-Chun
    Tsay, Wen-Jen
    JOURNAL OF FUTURES MARKETS, 2011, 31 (02) : 165 - 191
  • [47] Investments, credit guarantees, and government subsidies in a regime-switching framework
    Liu, Xiang
    Yang, Zhaojun
    MACROECONOMIC DYNAMICS, 2024, 29
  • [48] Analytical Pricing Formulas for Hybrid Variance Swaps with Regime-Switching
    Roslan, Teh Raihana Nazirah
    Cao, Jiling
    Zhang, Wenjun
    13TH IMT-GT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA2017), 2017, 1905
  • [49] A regime-switching model of stock returns with momentum and mean reversion
    Giner, Javier
    Zakamulin, Valeriy
    ECONOMIC MODELLING, 2023, 122
  • [50] Are cryptocurrencies a safe haven for stock investors? A regime-switching approach
    Li, Leon
    Miu, Peter
    JOURNAL OF EMPIRICAL FINANCE, 2023, 70 : 367 - 385