民生加银基金何江：AI重塑量化投资内核

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].