Core Insights - The article highlights the rapid advancement of AI in quantitative investment, with Minsheng Jianyin Fund as a pioneer in this "AI race" [1] - The firm has developed a "data-feature-strategy-portfolio" closed-loop system over four years, creating a unique competitive advantage in AI-driven quantitative investment [1][6] Group 1: AI Quantitative Investment Strategy - Minsheng Jianyin's AI quantitative strategy integrates market perception, engineering capabilities, and advanced algorithm applications [1] - The transition from traditional quantitative models to AI models allows for the capture of complex non-linear market relationships, enhancing predictive accuracy [5][7] - The firm emphasizes the necessity of AI in the survival of public funds, predicting a future ecosystem dominated by "AI-led quantification and tool-based index products" [10] Group 2: Market Opportunities and Performance - The National Securities 2000 Index is viewed as a valuable asset for technology upgrades and quantitative enhancement, with significant structural opportunities in AI and high-end manufacturing [2][8] - The Minsheng Jianyin National Securities 2000 Index Enhanced Fund has outperformed its benchmark, achieving returns of 17.18% and 49.66% over six months and one year, respectively [8] - The index's diverse composition and low pricing efficiency provide fertile ground for capturing alpha through quantitative strategies [8] Group 3: Challenges and Risk Management - AI models are not infallible; they rely on historical data and may face challenges during extreme market conditions, highlighting the importance of risk management [9] - The firm maintains that AI enhances human cognitive boundaries rather than replacing human judgment, allowing for the analysis of complex relationships among thousands of stocks [9]

Core Viewpoint - The article emphasizes that AI-driven quantitative investment is becoming essential for public funds, with Minsheng Jianyin Fund leading the way in this transformation through a comprehensive AI quantitative strategy development over the past four years [1][6][14]. Group 1: AI Quantitative Investment Strategy - Minsheng Jianyin Fund's quantitative investment director, He Jiang, initiated a focus on AI quantitative investment strategies in 2021, creating a "data-feature-strategy-portfolio" closed-loop system that is evolving into a unique competitive advantage [1][10]. - The core barrier of Minsheng Jianyin's AI quantitative strategy lies in effectively converting subjective insights into machine-learnable optimization mechanisms, continuously refining investment rules in high-dimensional space [10][11]. - The shift from traditional linear models to AI models allows for the capture of complex non-linear market relationships, significantly enhancing predictive capabilities and investment returns [9][11]. Group 2: Motivations for Focusing on AI - Traditional quantitative strategies face limitations, with the average excess return of the CSI 500 index-enhanced public funds dropping below 3% in 2022, indicating a need for innovation [6][14]. - The explosion of AI technology, driven by improved computing power and algorithm advancements, enables models to uncover complex market relationships that are difficult for the human brain to analyze [6][11]. - Minsheng Jianyin possesses unique internal research data, which has been integrated to create a proprietary fundamental feature database, enhancing their AI model's effectiveness [7][11]. Group 3: Performance and Future Outlook - The Minsheng Jianyin CSI 2000 index-enhanced fund, managed by He Jiang, has shown impressive returns, with a six-month return of 17.18% and a one-year return of 49.66%, significantly outperforming the benchmark [13]. - The CSI 2000 index is viewed as a valuable asset for long-term investment due to its structural opportunities in technology upgrades, including AI, semiconductor growth, and high-end manufacturing [13][14]. - The future of public funds is expected to evolve into an "AI-led quantitative + tool-based index product" ecosystem, with technology finance becoming a fundamental aspect of the industry [14].