Zhongtai Securities(SH:600918) 清华金融评论·2025-07-07 11:37Core Viewpoint - The article emphasizes the importance of regulating quantitative trading to enhance market liquidity and reduce volatility, while balancing market efficiency and fairness [3][4][5]. Summary by Sections Overview of Quantitative Trading - Quantitative trading refers to the use of mathematical models, statistical analysis, and computer technology for securities investment, aiming to reduce emotional interference and improve trading efficiency [7]. - The development of quantitative trading in China has been driven by policy evolution and technological breakthroughs over the past two decades, with significant milestones including the introduction of futures and regulatory frameworks [8][9]. Impact of Quantitative Trading on the Market - Positive impacts include increased market liquidity, reduced volatility, and improved pricing efficiency. Quantitative trading generates numerous orders, enhancing market depth and narrowing bid-ask spreads [15][16][17]. - Negative impacts may involve market manipulation, exacerbation of volatility during extreme conditions, and potential fairness issues due to the speed of high-frequency trading [18][19][20]. Regulatory Framework for Quantitative Trading - China's regulatory approach focuses on automated and programmatic aspects of quantitative trading, with specific regulations for high-frequency trading established under the "Securities Market Programmatic Trading Management Measures" [21][22]. - Internationally, the U.S. and Germany have implemented strict regulations to prevent market disruption and ensure fair trading practices, with specific measures for high-frequency trading [23][24][25]. Recommendations for Healthy Development of Quantitative Trading - Suggestions include optimizing the regulatory framework with differentiated access for high-frequency and other quantitative institutions, enhancing risk control measures, and balancing market efficiency with fairness [26][27][28].