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Optimal Market Making in the Chinese Stock Market: A Stochastic Control and Scenario Analysis

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  • Shiqi Gong
  • Shuaiqiang Liu
  • Danny D. Sun

Abstract

Market making plays a crucial role in providing liquidity and maintaining stability in financial markets, making it an essential component of well-functioning capital markets. Despite its importance, there is limited research on market making in the Chinese stock market, which is one of the largest and most rapidly growing markets globally. To address this gap, we employ an optimal market making framework with an exponential CARA-type (Constant Absolute Risk Aversion) utility function that accounts for various market conditions, such as price drift, volatility, and stamp duty, and is capable of describing 3 major risks (i.e., inventory, execution and adverse selection risks) in market making practice, and provide an in-depth quantitative and scenario analysis of market making in the Chinese stock market. Our numerical experiments explore the impact of volatility on the market maker's inventory. Furthermore, we find that the stamp duty rate is a critical factor in market making, with a negative impact on both the profit of the market maker and the liquidity of the market. Additionally, our analysis emphasizes the significance of accurately estimating stock drift for managing inventory and adverse selection risks effectively and enhancing profit for the market maker. These findings offer valuable insights for both market makers and policymakers in the Chinese stock market and provide directions for further research in designing effective market making strategies and policies.

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  • Shiqi Gong & Shuaiqiang Liu & Danny D. Sun, 2023. "Optimal Market Making in the Chinese Stock Market: A Stochastic Control and Scenario Analysis," Papers 2306.02764, arXiv.org.
    • Handle: RePEc:arx:papers:2306.02764
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    References listed on IDEAS

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    1. Olivier Gu'eant & Charles-Albert Lehalle & Joaquin Fernandez Tapia, 2011. "Dealing with the Inventory Risk. A solution to the market making problem," Papers 1105.3115, arXiv.org, revised Aug 2012.
    2. Cong, F. & Oosterlee, C.W., 2016. "Multi-period mean–variance portfolio optimization based on Monte-Carlo simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 23-38.
    3. Fabien Guilbaud & Huyên Pham, 2013. "Optimal high-frequency trading with limit and market orders," Quantitative Finance, Taylor & Francis Journals, vol. 13(1), pages 79-94, January.
    4. Marco Avellaneda & Sasha Stoikov, 2008. "High-frequency trading in a limit order book," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 217-224.
    5. Bessler, Wolfgang & Vendrasco, Marco, 2021. "The 2020 European short-selling ban and the effects on market quality," Finance Research Letters, Elsevier, vol. 42(C).
    6. Liu, Wei, 2021. "Can HFT profit in Chinese stock market?," Economics Letters, Elsevier, vol. 209(C).
    7. Li, Wei & Wang, Steven Shuye, 2010. "Daily institutional trades and stock price volatility in a retail investor dominated emerging market," Journal of Financial Markets, Elsevier, vol. 13(4), pages 448-474, November.
    8. Olivier Gu'eant, 2016. "Optimal market making," Papers 1605.01862, arXiv.org, revised May 2017.
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