矩阵思维
Search documents
永赢基金蔡路平:从“切蛋糕”到“矩阵思维” 永赢指数业务步入2.0时代
Zhong Guo Zheng Quan Bao· 2025-09-08 00:22
Core Viewpoint - Yongying Fund has differentiated itself in the ETF market by innovating and exploring various index products, achieving a management scale of over 15 billion yuan as of September 4 this year [2] Group 1: Business Development - Yongying Fund's index business began with broad-based indices like the CSI 300 and ChiNext Index, and later focused on niche sectors such as medical devices, which was established during a significant market trend in the pharmaceutical sector in 2020 [3] - The company employs a "cake-cutting" strategy to identify potential sectors by focusing on government-recommended strategic directions, such as general aviation and satellite industries [3][4] - The company emphasizes a flat organizational structure that enhances cross-departmental collaboration, allowing for efficient idea generation and product development [4] Group 2: Product Expansion - In 2023, Yongying Fund significantly accelerated its index product offerings, launching seven new ETF products, including the Yongying CSI A500 ETF and the Yongying CSI Hong Kong Medical Theme ETF [5] - The company plans to continue enriching its product matrix across various sectors, including consumption, manufacturing, technology, and finance, while enhancing its infrastructure to adapt to different market conditions [5][6] Group 3: Investor Services and Quantitative Investment - Yongying Fund is committed to improving investor services by developing quantitative models that enhance decision-making capabilities, focusing on educational content related to gold and gold stocks [6] - The company is also expanding its quantitative investment strategies, incorporating fundamental quant, multi-factor quant, and machine learning techniques, supported by significant hardware resources [6][7] - The team aims to refine strategy systems to improve timing success rates and asset allocation effectiveness, ensuring that products align with investor risk-return preferences [7]