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公募基金规模再创历史新高 股票ETF成吸金主力
Zhong Guo Zheng Quan Bao·2025-09-28 22:14

Core Insights - The total scale of public funds in China reached a historic high of 36.25 trillion yuan as of the end of August, marking the first time it has surpassed 36 trillion yuan [2][4] - The significant increase in public fund scale, nearly 1.2 trillion yuan in August alone, reflects a notable recovery in investor confidence, particularly in stock funds [1][2] - Stock funds saw a monthly growth of over 600 billion yuan, primarily driven by stock ETFs, while mixed funds faced redemption pressures [1][3] Fund Scale and Composition - As of the end of August, the net asset value of public funds totaled 36.25 trillion yuan, with closed-end funds at 3.72 trillion yuan and open-end funds at 32.53 trillion yuan [2] - Open-end stock fund scale reached 5.55 trillion yuan, up from 4.92 trillion yuan at the end of July, indicating a growth of over 600 billion yuan [2] - Mixed funds increased to 4.16 trillion yuan from 3.83 trillion yuan, showing a growth of over 300 billion yuan [2] ETF Performance - Stock ETFs contributed significantly to the growth, with their scale increasing by 394.2 billion yuan and their shares rising by 24.071 billion [3] - Despite the overall growth in mixed funds, their share decreased, indicating some investors opted for "sell at breakeven" strategies [3] Bond Fund Trends - Bond funds experienced a decline in both scale and share, with negative returns reported for several bond funds in August [4] - However, certain bond ETFs, particularly convertible bond ETFs and 30-year treasury bond ETFs, saw growth, with the former contributing over 21 billion yuan to the scale increase [4] Market Outlook - The public fund scale is expected to continue rising, supported by ongoing inflows of incremental capital and a positive market cycle characterized by increasing returns and stable market conditions [1][6] - The A-share market is anticipated to benefit from macroeconomic improvements and the ongoing development of technology sectors, particularly artificial intelligence [6]