创价值·塑生态·启新程——上海公募基金高质量发展在行动 | 以“工业化”提升核心投研能力 为投资者创造长期价值

Core Insights - The public fund industry in China is transitioning from scale expansion to quality improvement, with a focus on enhancing core investment research capabilities and adopting new technologies like AI and big data [1][4][8] - The industry has seen significant growth, with assets under management increasing from 8.4 trillion yuan in 2015 to 36.74 trillion yuan by September 2025, but faces challenges such as investor satisfaction and structural imbalances [2][3] - China Securities Regulatory Commission has issued guidelines to improve product positioning and enhance investor experience, addressing the gap between fund performance and actual investor returns [3][4] Industry Growth and Challenges - The public fund industry has achieved rapid growth over the past decade, with a management scale increase of over 400% [2] - Despite growth, challenges include inadequate investor satisfaction, unclear product positioning, and insufficient educational outreach [2][3] - Actual annualized returns for investors from 2020 to 2024 were significantly lower than fund performance, highlighting a disconnect [2] Investment Research System Upgrade - The industry is urged to adopt a "professional, industrialized, and intelligent" investment research system to enhance core capabilities and ensure quality [4][5] - Middle European Fund has implemented a specialized research approach, dividing investment research into over 80 subfields to ensure deep expertise [5][6] - The company emphasizes long-term talent development, requiring a decade of research and investment experience for fund managers [5][6] Industrialization and Efficiency - Industrialization aims to improve collaboration and efficiency in the investment process, transforming individual insights into collective investment outcomes [6][7] - The company has developed standardized tools and processes to enhance communication and efficiency among research teams [6] - The "MARS Factory" model exemplifies this industrialization, streamlining the management of multi-asset solutions through a structured process [6][7] Digitalization and Data Utilization - Digitalization and intelligent systems are crucial for managing large-scale funds, converting historical data into structured assets [7] - The integration of AI is transforming investment research, enhancing data processing and predictive capabilities [7] - The company is encouraged to leverage AI and emerging technologies to improve research efficiency and accuracy [7] Long-term Commitment to Investor Satisfaction - The company is committed to enhancing investor experience through a long-term service approach, focusing on continuous engagement and communication [8][9] - Initiatives include hosting over 3,000 offline events and utilizing various media formats to keep investors informed [8][9] - The company aims to innovate products based on investor needs, ensuring alignment with market conditions and investor expectations [9][10]