Core Viewpoint - Quantitative investment products have become a significant choice for investors seeking excess returns amid market fluctuations, particularly among large private equity firms with mature strategies and technical capabilities [3] Group 1: Performance Metrics - The average excess return for quantitative products under large private equity firms (over 10 billion) is 13.90% for 2025, with an excess win rate of 61.01% [4] - The average return for quantitative products across different asset sizes shows that those over 100 billion have the highest average return of 38.60% [4] - The overall average excess return across all private equity products is 11.33%, with an average excess win rate of 56.20% [4] Group 2: Top Performers in Different Indices - In the CSI 300 index enhancement category, Mingxuan Investment leads with an excess win rate of 66.25% and an average return of 30.05% for 2025 [5] - The top products in the CSI 500 index enhancement category include Wanyan Asset with a leading excess win rate of 66.12% and an average return of 50.84% [8] - For the CSI 1000 index enhancement, Micron Bo Yi leads with an impressive excess win rate of 72.71% and an average return of 55.96% [11] Group 3: Notable Companies and Strategies - Mingxuan Investment, established in 2014, has a strong team with backgrounds from top universities and has successfully applied AI technology in financial markets [7] - Wanyan Asset, founded in 2015, focuses on high liquidity assets and has made significant investments in AI to enhance market prediction accuracy [10] - Micron Bo Yi, also established in 2015, utilizes a data-driven approach and has a team of experts from prestigious institutions, focusing on extracting effective information from vast data [13] Group 4: Other Noteworthy Products - In the category of other index enhancements, Montrose Investment leads with a high excess win rate of 65.83% and an average return of 46.44% [14] - Square and Investment's product in the CSI 2000 index enhancement category has shown a strong performance with an excess win rate of 43 out of 53 weeks in 2025 [16]

Core Insights - The article discusses the performance of quantitative private equity funds in the context of increasing market volatility, emphasizing the importance of "excess win rate" as a key metric for evaluating the stability of quantitative strategies [2][4] - Billion-dollar quantitative private equity funds leverage advantages in AI technology, computing power, talent, and risk control to maintain their ability to generate excess returns [2][4] Summary by Categories Billion-Dollar Quantitative Funds - As of November, billion-dollar quantitative private equity funds achieved an average excess win rate of 62.28% and an average excess return of 14.15% from January to November [4][5] - The top three funds in terms of excess win rate are Tianyan Capital, Chaoliang Quantum Fund, and Mengxi Investment [4][5] 50-100 Billion Category - Funds in the 50-100 billion category had an average excess win rate of 57.43% and an average excess return of 10.75% [9] - The leading funds in this category are Mingxi Capital, Dayan Capital, and Qianshu Investment [9] 20-50 Billion Category - Funds in the 20-50 billion category reported an average excess win rate of 56.23% and an average excess return of 10.59% [16] - The top three funds are Pengjin Zhongyang, Xiangmu Asset, and Yanhhe Investment [16] 10-20 Billion Category - The 10-20 billion category had an average excess win rate of 55.87% and an average excess return of 10.08% [24] - Leading funds include Yangshi Asset, Yanbo Chengfeng, and Xingkuo Investment [24] 5-10 Billion Category - Funds in the 5-10 billion category achieved an average excess win rate of 53.23% and an average excess return of 8.33% [29] - The top three funds are Juyuan Balanced Fund, Huacheng Private Fund, and Wuzhi Investment [29] 0-5 Billion Category - The 0-5 billion category reported an average excess win rate of 54.01% and an average excess return of 12.37% [36] - The leading funds are Hongtong Investment, Jingying Zhito, and Quancheng Fund [36]