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半年考上演“过山车”!多只基金规模暴涨又“高台跳水”,什么情况?
券商中国·2025-07-14 06:47

Core Viewpoint - The public fund industry experienced significant fluctuations in the scale of the CSI A500 ETF around the mid-year mark, with a notable increase in net subscriptions followed by a sharp decline in scale shortly after June 30 [1][4]. Group 1: Fund Performance and Market Dynamics - As of June 30, a large public fund's CSI A500 ETF saw a dramatic increase of 11.8 billion shares, reaching a peak scale of 22.64 billion yuan, making it the largest ETF in its category, surpassing the second-largest by nearly 4 billion yuan [3]. - However, after entering the second half of the year, the net subscription trend halted, leading to a significant drop in scale, with a reduction of 2.22 billion shares on July 1, equating to over 2.2 billion yuan in outflows [5][4]. - By July 11, the fund's scale had decreased by 4.4 billion yuan, indicating a volatile market environment for ETFs [5]. Group 2: Reasons Behind Scale Fluctuations - Industry insiders suggest that the mid-year surge in ETF scale may be attributed to internal assessments and promotional needs within fund companies, with a focus on "scale chasing" during key evaluation periods [2][6]. - The increase in scale is also linked to market performance, as the ETF's trading advantages attracted investors looking to capitalize on short-term market movements [8]. - The phenomenon of "scale chasing" is seen as a strategic move by fund companies to enhance liquidity and prepare for future investments from institutional players [7][9]. Group 3: Implications of "Help Funds" - The presence of "help funds" during the ETF's scale fluctuations indicates a complex industry logic, where such funds are often sourced from market makers who can hedge risks effectively [10]. - While the costs associated with "help funds" are borne by fund companies, this practice can lead to significant volatility in ETF scales, potentially misleading investors about the product's true performance [11][12]. - Observers note that the costs incurred from "help funds" could detract from resources that could otherwise enhance the fund's research capabilities, ultimately harming the interests of ordinary investors [12].