Group 1 - The A-share market continued its "small spring" trend in July, with the Shanghai Composite Index surpassing 3600 points and a year-to-date increase of over 6.6%, led by sectors such as building materials, rare earths, and innovative pharmaceuticals [1] - Despite the overall market performance, some funds experienced significant losses, with certain products down nearly 20% year-to-date, highlighting a stark contrast to the market's gains [1] - The performance of actively managed funds has been disappointing, with fund managers failing to demonstrate effective operational capabilities in the face of market fluctuations [1] Group 2 - The Qianhai Kaiyuan AI-themed mixed fund reported a year-to-date loss of 19.15% as of the end of July, ranking low among its peers [2] - This fund underwent a significant portfolio adjustment at the beginning of the year, shifting from established AI leaders to smaller chip companies, which has been viewed as a "dark horse gamble" [2] - The fund's strategy has been criticized for not including leading AI companies, and its performance continued to decline despite further changes in the second quarter [2] Group 3 - Star fund manager Qu Yang stepped down in June after managing the fund for nine years, with the fund's assets shrinking from 600 billion yuan at its peak in 2021 to 144 billion yuan [3] - The fund's return during the dual management period with Wei Chun was -41.32%, contrasting sharply with the 93.3% return during Qu Yang's sole management [3] Group 4 - The Jianxin China Manufacturing 2025 fund, managed by Sun Sheng, also faced a loss of over 15% year-to-date, attributed to poor timing in its investment strategy [4] - The fund made significant changes to its top holdings, reflecting a shift towards computing infrastructure, but suffered from a market pullback in the first quarter [4] - The fund's performance continued to lag in the second quarter, with a net asset value decline of 6.43% due to weaker-than-expected domestic AI development [4] Group 5 - The Vanguard funds managed by Liu Zhiqiang also revealed inconsistencies between strategy and performance, with both funds experiencing net value declines exceeding 14% in the first quarter [5] - The funds claimed to maintain a flexible strategy for stable returns, yet their actual performance significantly lagged behind the benchmark [5] - Many of these funds are labeled as "thematic funds," but their performance benchmarks are tied to broad market indices, raising questions about their investment focus [5] Group 6 - Industry experts noted that aggressive portfolio adjustments can lead to repeated mistakes, particularly for funds that have not aligned their strategies with market trends [6] - Many underperforming funds made extensive adjustments in the first quarter, attempting to follow market shifts, but ended up underperforming their benchmarks [6] - The trend of frequent and aggressive adjustments has resulted in further declines in net asset values, illustrating the risks of misjudging market directions [6] Group 7 - Despite the challenges faced by some active funds, there are still a number of successful actively managed funds that have generated significant excess returns through deep industry insights and precise stock selection [7] - Investors are advised to adopt a more rational "core-satellite" strategy, combining broad market index ETFs for stability with selectively chosen active funds for potential alpha returns [7] - This structured approach can help mitigate risks while allowing for a more measured response to market fluctuations and the short-term volatility of certain active funds [7]

本报（chinatimes.net.cn）记者栗鹏菲 叶青 北京报道 7月的A股市场延续了年内的"小阳春"行情。上证指数一度突破3600点，年内累计涨幅超6.6%，建材、 稀土、创新药等板块轮番领涨，港股创新药ETF单周成交额甚至突破499.56亿元。 然而，市场的暖风并未惠及所有基金，部分产品年内亏损竟接近20%，与大盘的"飘红"形成刺眼反差。 业内人士表示，在今年以来亏损比较大的主动基金产品中，基金经理并未体现出较好的操作能力。 赌黑马，AI基金年内亏损19.15% 在主动权益类基金的业绩榜单末端，前海开源人工智能主题混合基金格外醒目。Wind数据显示，截至7 月底，其A类份额年内亏损19.15%，同类排名靠后。 这只成立超9年的老牌主题基金，年初经历了一场近乎颠覆的调仓：截至2025年一季度末，该基金的前 十大重仓股与2024年底完全不同，此前的工业富联、光迅科技、中际旭创等人工智能相关龙头股已不在 前十大名单中，转而重仓押注芯原股份、瑞芯微等中小市值芯片企业，但未布局寒武纪、中科曙光等 AI产业龙头。 这一策略被业内视为"黑马赌局"。某头部券商TMT分析师指出，AI产业具有"赢家通吃"特性，头部企业 ...