半年度基金经理量化榜揭晓！稳博投资殷陶夺冠百亿！王一平、朱晓康、牟鹏等领衔！

Core Insights - The article highlights the strong performance of quantitative products in the private equity sector, with an average return of 8.45% in the first half of 2025, significantly outperforming the Shanghai and Shenzhen 300 Index, which only saw a 0.03% increase [2][5]. Group 1: Performance Overview - As of June 30, 2025, there were 1,417 quantitative products with a total scale of approximately 101.33 billion yuan, achieving an average return of 8.45% [2]. - Among private equity firms with over 10 billion yuan in assets, the average return for quantitative products was 11.99%, with only one product showing negative returns [5][8]. Group 2: Leading Fund Managers - The top-performing fund manager in the over 10 billion yuan category was Yin Tao from Stable Investment, with an average return of ***% across 7 products totaling approximately 297.08 million yuan [8][9]. - Wang Yiping from Evolutionary Asset Management ranked second, managing 8 products with a total scale of about 748.20 million yuan and an average return of ***% [8][9]. Group 3: Mid-Size Private Equity Performance - For private equity firms with 50-100 billion yuan, the average return was 8.15%, with 93.85% of products showing positive returns [9][10]. - The top fund manager in this category was Guo Qitian from Qianyan Private Equity, managing 3 products with a total scale of approximately 399.43 million yuan and an average return of ***% [10][11]. Group 4: Smaller Private Equity Performance - In the 20-50 billion yuan category, the average return was 8.01%, with 87.43% of products achieving positive returns [13]. - The leading fund manager was Shi En from Yunqi Quantitative, managing 3 products with a total scale of about 287 million yuan and an average return of ***% [13][14]. Group 5: Emerging Trends - The article notes the increasing impact of artificial intelligence on quantitative investment strategies, contributing to the strong performance of these funds [5][8]. - Fund managers are increasingly integrating logical factors into their quantitative models to enhance stability and control risks [8][9].