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科创半导体设备ETF联接基金(A类024974/C类024975)
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韩国半导体出口同比增长超100%或印证下游需求强劲!科创半导体设备ETF(588710)连续3个交易日获资金净流入
Xin Lang Cai Jing· 2026-02-02 04:47
Group 1 - The semiconductor industry is experiencing high prosperity, with South Korea's semiconductor exports in January 2026 showing a significant year-on-year increase of 102.7%, reaching $20.5 billion, marking the second-highest monthly record in history [1][3] - Demand for AI continues to grow faster than production capacity expansion, leading to price increases in consumer and niche storage segments, benefiting multiple links in the domestic storage industry chain this year [1][3] - The Kexin Semiconductor Equipment ETF (588710) has gained significant attention due to AI demand and price increases, achieving net inflows for three consecutive trading days, with its latest shares and scale reaching 994 million shares and 1.857 billion yuan respectively [1][3] Group 2 - The Kexin Semiconductor Equipment ETF (588710) and its connected funds are positioned at the intersection of the AI hardware wave and domestic substitution, with the semiconductor equipment and materials sector accounting for 84.8% of the underlying index [2][4] - Since 2025, the Kexin Semiconductor Materials and Equipment Index has seen a cumulative increase of 90.72%, outperforming the CSI Semiconductor Materials and Equipment Index, which increased by 84.30% during the same period [2][4] - The fund manager, Huatai-PB Fund, is one of the first ETF managers in China, with leading products in the market and a low-cost fee structure, which supports investors in cost-effective investments [2][4]
存储龙头靓丽业绩或印证行业景气度!科创半导体设备ETF(588710)助力把握上游环节长期机遇
Xin Lang Cai Jing· 2026-01-29 05:40
芯片龙头的靓丽业绩凸显出人工智能浪潮的深度,进一步提振了市场对半导体产业链发展的长期信心, 资金对这一高成长赛道的关注持续且深入。相关产品科创半导体设备ETF(588710)在今年以来的18个 交易日中有13日获资金净流入,区间累计"吸金"8.04亿元,大幅超越其2025年全年1.99亿元的资金净流 入水平,助推其规模和份额分别攀升至19.01亿元和9.72亿份。(数据来源:Wind、交易所,截至 26/1/28) 近期,"涨价"正成为贯穿半导体产业链的关键现象,这或为板块景气度提供了基本面支撑。其核心逻辑 在于供需双侧共振:需求侧,AI芯片对先进制程和先进封装的强劲需求,正引发从设计到制造、封测 的全产业链"涨价潮", 行业盈利能力有望迎来修复契机;供给侧,以台积电为代表的全球龙头积极扩 充,有望直接拉动上游设备需求。在此背景下,位于产业链上游、扩产确定性高的半导体设备与核心材 料环节,有望成为半导体产业景气度传导的深度受益者。 科创半导体设备ETF(588710)及其联接基金(A类024974/C类024975)卡位AI硬件浪潮和国产替代的 关键交汇点,其标的指数上证科创板半导体材料设备主题指数中"半导体 ...
千问旗舰推理模型亮相!机构看好AI驱动与国产扩产,科创半导体设备ETF(588710)获资金持续加码
Mei Ri Jing Ji Xin Wen· 2026-01-27 03:54
AI驱动与国产扩产利好催化,推动半导体材料设备板块今日(26/1/27)早盘活跃。Wind数据显示,科 创半导体设备ETF(588710)近22个交易日中有17日获得资金净流入,累计金额达9.31亿元,助推其规 模和份额增长至19.06亿元和10.18亿份,份额创历史新高。 (文章来源:每日经济新闻) 行业基本面与产业动态持续提供支撑。国内AI领域近日迎来重要进展——千问旗舰推理模型Qwen3- Max-Thinking正式发布,在多项权威评测中创下全球新纪录,性能已可比肩GPT-5.2与Gemini 3 Pro,成 为目前最接近国际顶尖水平的国产AI大模型,有望带动新一轮的大模型竞争并带来更多的算力基建需 求。 科创半导体设备ETF(588710)及其联接基金(A类024974/C类024975)卡位AI硬件浪潮和国产替代的 关键交汇点,截至最新,2025年以来科创半导体材料设备指数累计涨幅达91.18%,优于同期中证半导 体材料设备主题指数86.47%的表现,或是把握算力基建需求澎湃的重要工具之一。 与此同时,半导体设备领域订单落地印证需求景气。国内半导体测试设备企业近期签订一笔13.11亿元 销售合同, ...
多家外资青睐半导体材料设备领域!科创半导体设备ETF(588710)迎资金五连增
Mei Ri Jing Ji Xin Wen· 2026-01-22 05:45
Group 1 - The core viewpoint of the articles highlights a positive outlook for the semiconductor materials and equipment sector, driven by AI infrastructure development and a cyclical recovery in the storage segment [1][2] - Morgan Stanley identifies three key trends: AI infrastructure as a growth engine, cyclical recovery in the storage sector, and advancements in wafer manufacturing and packaging technologies [1] - KeyBanc Capital Markets notes that the global demand for AI computing infrastructure and the "super cycle" in storage chips will likely benefit semiconductor equipment manufacturers [1] Group 2 - CITIC Securities points out that the storage chip market is experiencing a price increase due to surging AI demand and supply-side contractions, which may lead to significant performance growth for global storage industry companies [2] - The domestic semiconductor equipment and packaging sectors are expected to see investment opportunities as domestic production rates increase and capital expenditure cycles begin [2] - The Sci-Tech Innovation Semiconductor Equipment ETF (588710) has seen a cumulative inflow of 781 million yuan since 2026, reaching a historical high in both scale and share [1][2]