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为什么红利增强基金,很难做出显著超额?
雪球· 2025-06-26 07:51
Core Viewpoint - The article discusses the challenges and performance of dividend-enhanced strategies compared to broader indices, highlighting that achieving excess returns in dividend indices is more difficult than in broader indices like the CSI 2000 [2][4]. Group 1: Dividend Indices Performance - The speaker, Deng Tong, notes that the excess return of the CSI 2000 index can exceed 30%, while the excess return for dividend indices is modest, often just a few percentage points [2][3]. - The article compares three main dividend indices: CSI Dividend, Low Volatility Dividend, and Hong Kong Dividend, revealing significant performance differences among them [9]. - The CSI Dividend index showed a 3-year return of 5.75%, while the Hong Kong Dividend index had a much stronger performance with a 3-year return of 16.97% [9]. Group 2: Active Management of Dividend Strategies - The analysis of several actively managed dividend strategy funds indicates that they do not consistently outperform the Low Volatility Dividend index, supporting Deng's assertion [13]. - The article highlights that if fund managers make poor stock selections, the funds may underperform, as seen with the "Huashang Dividend Preferred" fund [14]. - The "Guangfa Stable Strategy" fund has shown significant excess returns this year, attributed to the use of unique factors like "economic cycle factor" and "price-volume factor" [15]. Group 3: Investment Recommendations - For high Beta indices like the Low Volatility Dividend, it is suggested that investors may achieve better results by directly purchasing ordinary index funds or ETFs rather than relying on randomly selected active funds [15]. - The article emphasizes that the current trend in dividend index funds includes monthly distributions, contrasting with actively managed funds that typically do not distribute dividends [16]. - For lower Beta indices such as the CSI 2000 and CSI 300, it is recommended to prioritize index-enhanced funds to avoid stagnation in long-term performance [16].