- The report does not contain any quantitative models or factors related to quantitative investment analysis. The content primarily focuses on ETF performance, scale changes, valuation, financing, and other market-related data[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84]

- The report primarily focuses on ETF performance, scale changes, and valuation metrics, with no mention of quantitative models or factors[1][2][3][4] - It provides detailed data on ETF weekly returns, net subscriptions/redemptions, and valuation percentiles across various categories like broad-based, sector, and thematic ETFs[2][3][36] - Specific thematic ETFs such as AI, chip, and photovoltaic ETFs are highlighted for their performance and valuation metrics, but no quantitative models or factors are discussed[19][36][45]

1. Report Industry Investment Rating - No information provided regarding the report industry investment rating 2. Core Viewpoints of the Report - Last week (from February 2, 2026, to February 6, 2026), the median weekly return of equity ETFs was -1.71%. Among broad - based ETFs, the Shanghai Stock Exchange 50 ETF had the smallest decline, and among sector ETFs, consumer ETFs had the highest return. Among hot - topic ETFs, photovoltaic ETFs had the highest return. Last week, equity ETFs had a net redemption of 2.056 billion yuan, with the Science and Technology Innovation Board ETF having the highest net subscription among broad - based ETFs, technology ETFs having the highest net subscription among sector ETFs, and AI ETFs having the highest net subscription among topic - based ETFs. As of last Friday, Huaxia, E Fund, and Huatai - Peregrine ranked in the top three in terms of the total scale of listed, non - monetary ETFs [1][2][61] 3. Summary According to Relevant Catalogs ETF Performance - The median weekly return of equity ETFs last week was -1.71%. Among broad - based ETFs, the Shanghai Stock Exchange 50 ETF had a median change of -0.82%, the smallest decline. By sector, consumer ETFs had a median change of 0.10%, the highest return. By topic, photovoltaic ETFs had a median change of 3.09%, the highest return. The median changes of bond, money - market, cross - border, and commodity ETFs were 0.02%, 0.02%, -2.19%, and -6.07% respectively [1][12][18] ETF Scale Changes and Net Subscriptions/Redeemptions - As of last Friday, the scales of equity, cross - border, and bond ETFs were 3.097 trillion yuan, 1.0195 trillion yuan, and 721.3 billion yuan respectively. The scales of commodity and money - market ETFs were relatively small, at 322.9 billion yuan and 160 billion yuan respectively. Among broad - based ETFs, the CSI 300 and A500 ETFs had relatively large scales. Last week, equity ETFs had a net redemption of 2.056 billion yuan and a total scale reduction of 80.468 billion yuan; money - market ETFs had a net subscription of 6.311 billion yuan and a total scale increase of 6.325 billion yuan. Among broad - based ETFs, the Science and Technology Innovation Board ETF had the highest net subscription of 5.501 billion yuan, and its scale decreased by 5.248 billion yuan; the CSI 500 ETF had the highest net redemption of 11.647 billion yuan, and its scale decreased by 15.917 billion yuan. By sector, technology ETFs had the highest net subscription of 10.405 billion yuan, and their scale decreased by 18.479 billion yuan; cyclical ETFs had the highest net redemption of 9.527 billion yuan, and their scale decreased by 21.091 billion yuan. By hot - topic, AI ETFs had the highest net subscription of 4.472 billion yuan, and their scale decreased by 3.271 billion yuan; photovoltaic ETFs had the highest net redemption of 0.8 billion yuan, and their scale decreased by 0.198 billion yuan [2][22][29] ETF Benchmark Index Valuation - As of last Friday, in the broad - based ETFs, the ChiNext and Shanghai Stock Exchange 50 ETFs had relatively low valuation quantiles. By sector, the large - finance and consumer ETFs had relatively moderate valuation quantiles. By sub - topic, the wine and new energy vehicle ETFs had relatively low valuation quantiles. Compared with the previous week, the valuation quantile of the wine ETF increased significantly [3][44][47] ETF Margin Trading - From last Monday to Thursday, the margin trading balance of equity ETFs decreased from 52.343 billion yuan in the previous week to 52.046 billion yuan, and the short - selling volume increased from 2.205 billion shares in the previous week to 2.312 billion shares. Among the top 10 ETFs in terms of average daily margin purchases and short - selling volumes, the securities ETFs and Science and Technology Innovation Board ETFs had relatively high average daily margin purchases, and the CSI 1000 ETFs and CSI 500 ETFs had relatively high average daily short - selling volumes [4][51][54] ETF Managers - As of last Friday, Huaxia Fund ranked first in the total scale of listed, non - monetary ETFs, with a relatively high management scale in multiple sub - fields such as scale - based index ETFs, topic - based, style, and strategy - based index ETFs, and cross - border ETFs. E Fund ranked second, with a relatively high management scale in scale - based index ETFs and cross - border ETFs. Huatai - Peregrine Fund ranked third, with a relatively high management scale in scale - based index ETFs and topic - based, style, and strategy - based index ETFs [55]

Group 1: Strategic Asset Pool Definition and Long-Term Characteristics - The report defines a global strategic asset allocation framework, covering equity, fixed income, alternative assets, and cash[1] - It analyzes long-term characteristics of equity assets in global, developed, and emerging markets, including sovereign and credit bonds, real estate, commodities, and private equity[1] - The analysis provides a solid data and theoretical foundation for subsequent return forecasts and portfolio construction[1] Group 2: Long-Term Economic Assumptions and Return Forecast Models - The report establishes long-term economic assumptions and return forecast models based on key macroeconomic variables such as economic growth, inflation, and interest rates[2] - It creates corresponding long-term return prediction models for various asset classes and estimates correlations and potential risk scenarios among different assets[2] Group 3: Strategic Portfolio Construction and Optimization - Strategic portfolio construction considers investor constraints and goal settings, including return targets, risk tolerance, liquidity needs, and regulatory/tax constraints[3] - Optimization methods include the classic mean-variance model, Black-Litterman model, Kelly-CVaR model, and risk parity model, with the mean-variance model and Kelly-CVaR showing superior long-term returns compared to single asset strategies[3] - The report emphasizes the importance of establishing a global market-weighted portfolio as a benchmark for strategic asset allocation[3] Group 4: Market Trends and Performance Metrics - The MSCI indices indicate that the U.S. market dominates with a weight of 64% in the MSCI ACWI index, followed by Japan at 4.9% and the UK at 3.3%[15] - The report highlights that the long-term volatility of MSCI EM is significantly higher than that of MSCI World, with both indices showing similar return patterns over time[23] - The Sharpe ratio for MSCI World and MSCI EM is similar, with long-term limits around -0.5 to +0.8, indicating comparable risk-adjusted returns[23]

Investment Rating - The report maintains an "Outperform" rating for the company [6][3]. Core Insights - The company reported a revenue of $2.489 billion in Q4 2025, exceeding guidance and achieving a year-over-year growth of 12.8% [1]. - The gross margin decreased to 19.2% due to increased depreciation, which aligns with guidance [1]. - The company expects revenue growth in 2026 to surpass the average growth of comparable peers [1]. - The company plans to acquire 49% of the minority stake in SMIC North and increase its stake in SMIC South from 38.515% to 41.561% [3]. - The revenue from the industrial and automotive sectors grew significantly, with year-over-year increases of 81.4% and 43.4%, respectively [2]. Financial Performance - Q4 2025 sales revenue reached $2.489 billion, with wafer revenue accounting for 92.4% of total revenue [1]. - The company shipped 2.51 million 8-inch wafers in Q4 2025, a year-over-year increase of 26.3% [1]. - Capital expenditures for Q4 2025 were $2.408 billion, a 45% increase year-over-year [1]. - The company expects capital expenditures in 2026 to remain approximately the same as in 2025, around $8.1 billion [1]. Revenue and Profit Forecast - The company forecasts revenues of $9.327 billion, $11.008 billion, and $12.532 billion for 2025, 2026, and 2027, respectively, with growth rates of 16.2%, 18.0%, and 13.8% [5]. - Net profit estimates for 2025, 2026, and 2027 are $685 million, $876 million, and $1.031 billion, respectively, reflecting growth rates of 39.1%, 27.8%, and 17.7% [5].

经济研究·宏观快评 证券研究报告 | 2026年02月11日 通胀数据快评 PPI 环比显著走强 | 证券分析师： | 邵兴宇 | 010-88005483 | shaoxingyu@guosen.com.cn | 执证编码：S0980523070001 | | --- | --- | --- | --- | --- | | 证券分析师： | 田地 | 0755-81982035 | tiandi2@guosen.com.cn | 执证编码：S0980524090003 | | 证券分析师： | 董德志 | 021-60933158 | dongdz@guosen.com.cn | 执证编码：S0980513100001 | 事项： 2 月 11 日，国家统计局发布了 2026 年 1 月份全国 CPI 和 PPI 数据。2026 年 1 月，中国 CPI 同比+0.2%（前 值+0.8%），万得一致预期+0.15%，核心 CPI 同比+0.8%（前值+1.2%）；PPI 同比-1.4%（前值-1.9%），万 得一致预期-1.5%。 评论： 2026 年 1 月的通胀数据呈现出鲜明的分化特征：一方面，受春节错 ...

| 证券分析师： | 邵兴宇 | 010-88005483 | shaoxingyu@guosen.com.cn | 执证编码：S0980523070001 | | --- | --- | --- | --- | --- | | 证券分析师： | 田地 | 0755-81982035 | tiandi2@guosen.com.cn | 执证编码：S0980524090003 | | 证券分析师： | 董德志 | 021-60933158 | dongdz@guosen.com.cn | 执证编码：S0980513100001 | 事项： 2 月 11 日，国家统计局发布了 2026 年 1 月份全国 CPI 和 PPI 数据。2026 年 1 月，中国 CPI 同比+0.2%（前 值+0.8%），万得一致预期+0.15%，核心 CPI 同比+0.8%（前值+1.2%）；PPI 同比-1.4%（前值-1.9%），万 得一致预期-1.5%。 证券研究报告 | 2026年02月11日 通胀数据快评 PPI 环比显著走强 经济研究·宏观快评 评论： 2026 年 1 月的通胀数据呈现出鲜明的分化特征：一方面，受春节错 ...

Investment Rating - The report assigns an "Outperform" rating for the company [4] Core Views - The company is a subsidiary of China National Nuclear Corporation, focusing on the comprehensive utilization of natural uranium and radioactive associated mineral resources [1][12] - The company plans to raise 4.4 billion yuan through its IPO, with 2.2 billion yuan allocated for natural uranium capacity projects and 700 million yuan for the comprehensive utilization of radioactive associated mineral resources [22] - The company is expected to produce 2,659 tons of U3O8 (equivalent to 2,255 tons of metal) from overseas sources in 2024, with an estimated domestic production of 1,700 tons, totaling 3,955 tons, which represents 6.4% of the global production of approximately 61,615 tons in 2024 [1][12] Summary by Sections Natural Uranium Business - The company has a dominant position in domestic natural uranium production, holding 17 mining rights for domestic natural uranium or uranium-molybdenum mines [1][59] - The natural uranium business is divided into self-produced uranium product sales, purchased uranium product sales, and international uranium trade [1][38] - The demand for natural uranium is expected to grow steadily, with supply constraints leading to a long-term bullish price outlook [1][39] Comprehensive Utilization of Radioactive Associated Mineral Resources - The company focuses on the comprehensive utilization of monazite, uranium-molybdenum, and tantalum-niobium [2] - The comprehensive utilization of monazite produces rare earth chlorides and sodium phosphate/carbonate as by-products, while uranium-molybdenum and tantalum-niobium processing yield ammonium paratungstate and tantalum/niobium oxides, respectively [2][27] Financial Forecast and Valuation - The company is projected to achieve net profits of 1.66 billion yuan, 3.49 billion yuan, and 4.87 billion yuan for the years 2025, 2026, and 2027, respectively, representing growth rates of 14%, 110%, and 40% [3][4] - The estimated reasonable valuation for the company is between 108.3 and 120.9 yuan, indicating a premium of 17% to 31% over the current stock price of 92.59 yuan [4]

证券研究报告 | 2026年02月11日 优于大市 哔哩哔哩-W（09626.HK） 游戏大年及AI 应用推广有望助力公司 26 年广告收入与利润高 增长 公司研究·海外公司快评 传媒·数字媒体 投资评级：优于大市（维持） | 证券分析师： | 张伦可 | 0755-81982651 | zhanglunke@guosen.com.cn | 执证编码：S0980521120004 | | --- | --- | --- | --- | --- | | 证券分析师： | 张衡 | 021-60875160 | zhangheng2@guosen.com.cn | 执证编码：S0980517060002 | | 证券分析师： | 王颖婕 | 0755-81983057 | wangyingjie1@guosen.com.cn | 执证编码：S0980525020001 | 事项： 2026 年是游戏大年和 AI 应用投放大年，哔哩哔哩有望承接更多游戏及 AI 应用广告主投放预算。 国信互联网观点：哔哩哔哩有望承接更多游戏及 AI 应用广告主投放预算，带动收入与利润增长。需求看， B 站广告聚焦科技与游戏等垂类，我 ...

Investment Rating - The report assigns a "Neutral" investment rating for the AI industry in 2026 [1]. Core Insights - Major companies are significantly increasing their investments in AI, focusing on talent acquisition, computing power infrastructure, and marketing expenditures. The competition for consumer-facing AI Agent products is expected to intensify during the Spring Festival period in China [2]. - The report suggests focusing on companies with the most certainty in computing power and large models, including Alibaba, Baidu, and Tencent [2]. Summary by Sections Company Dynamics - SpaceX has fully acquired xAI, with a post-merger valuation of $1.25 trillion. The merger will allow xAI to operate as a subsidiary of SpaceX, integrating its Grok model with Starlink satellite data [17]. - Meta has launched a series of AI advertising tools, including AI Video Generation 2.0, which simplifies the creative production process for advertisers [20]. - Kunlun Technology has released the Skywork desktop version, a local multi-model AI office agent that emphasizes data security and ease of use [21]. - OpenAI has launched two core products, including an upgraded programming model and an enterprise-level AI platform [22]. - Meta is testing an independent AI video application called Vibes, focusing on AI-generated content [23]. - Google, Amazon, Meta, and Microsoft have announced a combined investment of $610 billion in AI infrastructure for 2026 [24]. Underlying Technology - Step 3.5 Flash model by Step Star has been released, utilizing a sparse MoE architecture to address computing power challenges [25]. - Alibaba's Tongyi Qianwen team has open-sourced the Qwen3-Coder-Next programming model, achieving high performance with low computational costs [26]. - Anthropic has released Claude Opus 4.6, significantly expanding the context window to 1 million tokens [26]. - The Chinese Academy of Sciences has introduced the "Feiyu-1.0" model, focusing on coupled computing technology for environmental research [27]. Industry Policy - The Ministry of Industry and Information Technology has issued a notice to enhance AI computing power infrastructure through a national interconnected node system [28]. Investment Recommendations - The report emphasizes the importance of monitoring companies with strong positions in computing power and large models, particularly during the rapid deployment of AI Agent products [29].