Core Viewpoint - The article highlights the strong performance of the GF Quantitative Multi-Factor Mixed Fund (005225), which has achieved a cumulative return of 109.93% since its inception on March 21, 2018, significantly outperforming its benchmark across various time frames [1]. Group 1: Fund Performance - The GF Quantitative Multi-Factor Fund has a high equity position of 91.75%, with a diversified portfolio that includes six stocks with a total market capitalization below 10 billion, accounting for 8.35% of the fund's net asset value [2]. - Over the past year, the GF Quantitative Multi-Factor Fund has outperformed the National Securities 2000 Index by 30 percentage points, achieving a return of 54.33% compared to the index's performance [2]. - The fund's monthly win rate against the National Securities 2000 Index is 81%, with an average monthly excess return of 1.20% since the current fund managers took over [3]. Group 2: Investment Strategy - The fund employs a dual-engine model combining traditional quantitative multi-factor models with advanced machine learning techniques to enhance factor discovery and integration [4][5]. - The fund managers utilize AI tools to identify hidden pricing patterns and improve the efficiency of alpha factor extraction, addressing the limitations of traditional models [5]. Group 3: Other Quantitative Funds - The article also discusses other quantitative funds under GF, such as the GF Multi-Factor Mixed Fund (002943), which has consistently outperformed major indices over the past seven years [6][7]. - GF has a diverse range of quantitative products, including Smart Beta strategies, which focus on small-cap style enhancement [7]. Group 4: Dividend and Value Strategies - The GF Stable Strategy Fund (006780) employs a combination of subjective and quantitative approaches to capture dividend opportunities, achieving a return of 25.93% in 2024, outperforming the benchmark by 7.17% [10]. - The GF High Dividend Preferred Fund (008704) focuses on high-dividend, low-valuation stocks, achieving a year-to-date return of 12.10%, significantly surpassing the performance of the benchmark indices [14][15].

Group 1 - The report identifies six main categories of public quantitative products, totaling 919 products with a combined scale of 386.87 billion yuan, with the largest categories being index enhancement, active quantitative, and absolute return funds [4][10][11] - Active quantitative funds have shown a higher correlation with quality, growth, and small-cap factors in 2020, shifting to a stronger correlation with small-cap factors after 2022 [4][22] - The report outlines four main strategies for active quantitative funds, including equity fund enhancement, SmartBeta style strategies, industry rotation/all-industry quantitative stock selection strategies, and quantitative strategies from active equity teams [4][12][17] Group 2 - The report details the distribution of public quantitative products by strategy, highlighting that index enhancement funds account for 374 products with a scale of 194.32 billion yuan, while active quantitative funds consist of 343 products totaling 91.39 billion yuan [10][11] - The active quantitative fund strategies include equity fund enhancement represented by products like Baodao Qihang and Baodao Yuhang, SmartBeta strategies focusing on small-cap and dividend strategies, and industry rotation products like Huashan Event-Driven Quantitative Strategy [4][12][17] - The report emphasizes the differences in active quantitative product layouts among various fund companies, with specific companies focusing on different strategies such as full-industry quantitative stock selection or style funds [13][14] Group 3 - The report lists the top 20 active quantitative products by scale, with notable products including Zhao Shang Quantitative Selection A and Guojin Quantitative Multi-Factor A, highlighting their respective strategies and performance metrics [15][24] - It notes that many of the top-performing active quantitative products in 2025 have a tendency to invest in small-cap stocks, indicating a market trend towards smaller market capitalization [25][26] - The report also discusses the environmental adaptability of different strategies within active quantitative funds, indicating varying performance based on market conditions [26]