Workflow
减少“拍脑袋”式决策 公募基金雕琢多元配置业绩比较基准
Zhong Guo Zheng Quan Bao·2025-08-20 22:19

Core Viewpoint - The public fund industry is increasingly focusing on the role of performance benchmarks in investment constraints, leading to a more detailed approach in setting benchmarks for multi-asset portfolio products [1][6]. Group 1: Performance Benchmark Details - Recent multi-asset products have significantly enhanced the richness of performance benchmarks, incorporating various asset classes such as U.S. stocks, Hong Kong stocks, commodities, and deposits [2][3]. - The performance benchmark for the newly launched Yongying Yuan Ying Stable Multi-Asset 90-Day Holding product consists of six components, including 70% domestic bonds, 10% A-shares, 5% U.S. stocks, 5% Hong Kong stocks, 5% commodities, and 5% deposits [2][3]. Group 2: Investment Strategy and Philosophy - The detailed benchmarks reflect a shift in investment philosophy from a simple stock-bond pairing to a more diversified and global asset allocation system, especially in the current low-interest-rate environment [1][6]. - The trend towards detailed performance benchmarks indicates a recognition within the asset management industry of the need for a more complex and varied approach to asset allocation [6][7]. Group 3: Communication and Transparency - The refined benchmarks serve as a communication bridge between investors and fund managers, clarifying investment strategies, styles, and performance measurement [5][6]. - Clear asset composition enhances product transparency, helping investors understand risk sources and return drivers, thereby establishing reasonable expectations [4][5]. Group 4: Future Implications - The introduction of multi-asset strategies is expected to transform performance benchmarks from passive references to active guides, influencing strategy design, management constraints, and performance attribution [7]. - The industry is moving towards a more systematic and process-oriented approach to multi-asset research and decision-making, reducing reliance on ad-hoc strategies [4][6].