拆解省政府工作报告，信用债有哪些机会 [Table_Authors] 王宇辰(分析师) 信用债市场周度回顾 260208 本报告导读： 2026 年将成为隐债清零和退平台的大年，后续转型依赖区域资源禀赋。 投资要点： | | 010-83939801 | | --- | --- | | | wangyuchen4@gtht.com | | 登记编号 | S0880523020004 | | | 张紫睿(分析师) | | | 021-23185652 | [Table_Report] 相关报告 券 研 究 市 场 策 略 高位震荡，低估值因子占优 2026.02.07 2 月抓住资金层面的确定性 2026.02.03 纯债 ETF 持续净赎回，债基策略趋防御 2026.02.02 首批商业不动产 REITs 集中申报 2026.02.01 信用债修复下半场：票息主导，攻守兼备 2026.02.01 证 券 研 究 报 告 请务必阅读正文之后的免责条款部分 债 周 报 债券研究 /[Table_Date] 2026.02.08 zhangzirui@gtht.com 登记编号 S0880525040068 [Ta ...

Investment Rating - The report assigns an "Accumulate" rating for the cosmetics industry, indicating a positive outlook for selected companies within the sector [5]. Core Insights - The beauty industry is expected to maintain steady growth in 2026, driven by product innovation and the rising trend of domestic brands. The report suggests a bottom-up selection of high-growth products and brands with strong potential, as well as companies that exhibit resilience amid product and channel changes [2][5]. Summary by Sections Industry Overview - The report highlights that the cosmetics sales during the off-peak season have shown marginal improvement. It suggests focusing on products and brands with strong growth momentum and resilience in the face of changing product and channel dynamics [2]. Key Investment Points - The report identifies two main lines of investment: 1. **High-Growth Companies**: Companies like RuYuchen, BeiJiaJie, MaoGePing, LinQingXuan, and ShangMei are expected to perform well due to strong fundamentals and product innovation [5]. 2. **Brands with Strong Asset Value**: Companies such as BeiTaiNi and PoLaiYa are anticipated to see marginal improvements following adjustments in their channels and product structures [5]. Market Performance - According to data from the National Bureau of Statistics, the retail sales of cosmetics in December 2025 grew by 8.8% year-on-year, significantly outpacing the overall retail growth of 0.9%. The annual retail sales for cosmetics in 2025 reached 465.3 billion yuan, reflecting a 5.1% year-on-year increase [5]. Company Valuations - The report provides a valuation table for key companies, indicating their earnings per share (EPS) and price-to-earnings (PE) ratios for 2025E, 2026E, and 2027E. For instance, RuYuchen has an EPS of 0.59 yuan for 2025E with a PE of 60, while BeiTaiNi has an EPS of 1.10 yuan for 2025E with a PE of 43 [7].

计算机周观点第 33 期：底层基础设施迭 代加速，AI 原生力量重塑软件产业格局 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 杨林(分析师) | 021-23183969 | yanglin2@gtht.com | S0880525040027 | | 杨蒙(分析师) | 021-23185700 | yangmeng@gtht.com | S0880525040072 | | 钟明翰(研究助理) | 021-38031383 | zhongminghan@gtht.com | S0880124070047 | 本报告导读： 本周，SpaceX 确认与 xAI 合并，其 100 万颗卫星申请获受理；Claude Cowork 更新 11款插件，动摇传统 SaaS 软件核心护城河；质变科技发布记忆湖产品 MemoryLake。 投资要点： 请务必阅读正文之后的免责条款部分 [Table_Report] 相关报告 计算机《未来产业之脑机接口：资本与政策赋 能，迎产业窗口期》2026.02.05 计算机《政策注入消费动能，看好 ...

Investment Rating - The report maintains an "Overweight" rating for the industry, recommending investments in AI computing, cloud vendors, AI applications, and AI social sectors [5]. Core Insights - The AI model competition is intensifying, with major players deepening capital ties. TSMC is upgrading its processes in Japan, while Meituan is consolidating its instant retail operations. SpaceX's acquisition of xAI marks the beginning of a new narrative in "orbital AI" [2]. - Alphabet reported Q4 2025 earnings of $113.83 billion, a year-on-year increase of 18%, with net profit reaching $34.46 billion, up 30%. The company expects significant capital expenditures in 2026 to meet existing customer demand [5][8]. - OpenAI launched GPT-5.3-Codex, claiming it to be the strongest programming agent to date, achieving a score of 77.3% on the Terminal-Bench 2.0 benchmark, a 13 percentage point improvement over its predecessor [9]. - SpaceX confirmed the acquisition of AI company xAI, aiming to integrate AI with rocket and satellite communications, with an estimated post-acquisition valuation of $1.25 trillion [10]. Summary by Sections Weekly Overview - Alphabet's Q4 2025 revenue reached $113.83 billion, with a net profit of $34.46 billion, marking a significant year-on-year growth. The company anticipates higher capital expenditures in 2026 to support AI investments and infrastructure [8]. AI Industry News - Anthropic released Claude Opus 4.6, enhancing long text processing capabilities and introducing adaptive reasoning features. Amazon is considering a significant investment in OpenAI to develop customized AI models [23]. - TSMC plans to produce 3nm chips in Japan, increasing its investment from $12.2 billion to $17 billion, supported by the Japanese government [24]. - Meituan acquired Dingdong Maicai for approximately $717 million, aligning with its long-term strategy in grocery retail [24]. Investment Recommendations - Recommended stocks include NVIDIA (NVDA.O), TSMC (TSM.N), ASML (ASML.O), and Broadcom (AVGO.O) in the computing sector. For cloud vendors, Microsoft (MSFT.O), Amazon (AMZN.O), and Google (GOOGL.O) are highlighted. In AI applications, Apple (AAPL.O), Qualcomm (QCOM.O), and Xiaomi (1810.HK) are recommended [25].

股 票 研 究 工程机械销量高增，SpaceX 规划给予光伏设备增量空间 [Table_Industry] 机械行业 机械行业周报 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 肖群稀(分析师) | 0755-23976830 | xiaoqunxi@gtht.com | S0880522120001 | | 刘麒硕(分析师) | 0755-23976666 | liuqishuo@gtht.com | S0880525080005 | 本报告导读： 上周（2026/2/2-2026/2/6）机械设备指数涨跌幅为+0.57%。挖机、装载机销量高增； SpaceX 收购 xAI，申请部署百万颗卫星，太空光伏打开设备增量空间。 投资要点： [Table_Report] 相关报告 机械行业《马斯克将 Optimus 上升至星级文明高 度，力控技术助力机器人更会动》2026.02.07 机械行业《出口链月度跟踪：汇率与运价边际回 落，海外需求结构分化》2026.02.04 机械行业《杭汽轮自主燃机获取商业化合同， "B 转 A"加 ...

Quantitative Models and Construction Methods 1. Model Name: Sentiment Model - **Model Construction Idea**: The sentiment model is designed to measure the strength of market sentiment using factors related to limit-up and limit-down stocks[14] - **Model Construction Process**: The model uses factors such as the proportion of net limit-up stocks, next-day returns of limit-down stocks, proportion of limit-up stocks, proportion of limit-down stocks, and high-frequency board-hitting returns. These factors are aggregated to calculate a sentiment score, with a maximum score of 5. The sentiment score for the current period is 0[14][18] - **Model Evaluation**: The sentiment model indicates that the market sentiment remains low, reflecting weak investor confidence[14][18] 2. Model Name: Moving Average Strength Index - **Model Construction Idea**: This model evaluates the strength of market trends by calculating the moving average strength index based on secondary industry indices[14] - **Model Construction Process**: The moving average strength index is calculated using the performance of secondary industry indices. The current market score is 181, which corresponds to the 62.50th percentile since 2023[14] - **Model Evaluation**: The index suggests that there is still significant room for downward movement in the market[14] 3. Model Name: High-Frequency Capital Flow Model - **Model Construction Idea**: This model uses high-frequency capital flow data to generate buy and sell signals for major broad-based indices[14] - **Model Construction Process**: The model tracks the capital flow trends of indices such as CSI 300, CSI 500, CSI 1000, and CSI 2000. The signals for all indices are currently negative, indicating a bearish outlook[14][18] - **Model Evaluation**: The model shows that all major broad-based indices have turned negative, reflecting weak market conditions[14][18] --- Model Backtesting Results 1. Sentiment Model - Sentiment score: 0 (out of 5)[14][18] 2. Moving Average Strength Index - Current score: 181 (62.50th percentile since 2023)[14] 3. High-Frequency Capital Flow Model - CSI 300: Negative signal - CSI 500: Negative signal - CSI 1000: Negative signal - CSI 2000: Negative signal[14][18] --- Quantitative Factors and Construction Methods 1. Factor Name: Factor Crowding Index - **Factor Construction Idea**: The factor crowding index measures the degree of crowding in specific factors, which can serve as a warning for factor inefficiency[19] - **Factor Construction Process**: The index is calculated using four metrics: valuation spread, pairwise correlation, long-term return reversal, and factor volatility. The composite score is derived from these metrics. For example, the crowding scores for small-cap, low-valuation, high-profitability, and high-growth factors are 0.06, -0.31, -0.01, and 0.28, respectively[19][20] - **Factor Evaluation**: The crowding index provides insights into the potential inefficiency of factors due to excessive capital allocation[19] --- Factor Backtesting Results 1. Factor Crowding Index - Small-cap factor crowding score: 0.06 - Low-valuation factor crowding score: -0.31 - High-profitability factor crowding score: -0.01 - High-growth factor crowding score: 0.28[19][20]

Quantitative Models and Construction Methods 1. Model Name: Sentiment Model - **Model Construction Idea**: The sentiment model is designed to measure the strength of market sentiment using factors related to limit-up and limit-down stocks[14] - **Model Construction Process**: The model incorporates factors such as the proportion of net limit-up stocks, next-day returns of limit-down stocks, proportion of limit-up stocks, proportion of limit-down stocks, and high-frequency board-hitting returns. These factors are aggregated to generate a sentiment score, with a maximum score of 5. The sentiment score for the current period is 0[14][18] - **Model Evaluation**: The sentiment model indicates weak market sentiment, as reflected by the score of 0[14][18] 2. Model Name: Moving Average Strength Index - **Model Construction Idea**: This model evaluates the strength of market trends by calculating the moving average strength index based on secondary industry indices[14] - **Model Construction Process**: The moving average strength index is calculated using the performance of secondary industry indices. The current market score is 181, which corresponds to the 62.50th percentile since 2023[14] - **Model Evaluation**: The model suggests that the market still has significant downside potential[14] 3. Model Name: High-Frequency Capital Flow Model - **Model Construction Idea**: This model uses high-frequency capital flow trends to generate buy and sell signals for major broad-based indices[14] - **Model Construction Process**: The model tracks high-frequency capital flows and generates signals for indices such as CSI 300, CSI 500, CSI 1000, and CSI 2000. The signals for all indices are currently negative, indicating a bearish outlook[14][18] - **Model Evaluation**: The model shows a bearish signal across all major indices, reflecting weak market conditions[14][18] --- Model Backtesting Results 1. Sentiment Model - Sentiment score: 0 (out of 5)[14][18] 2. Moving Average Strength Index - Current score: 181 (62.50th percentile since 2023)[14] 3. High-Frequency Capital Flow Model - CSI 300: Negative signal - CSI 500: Negative signal - CSI 1000: Negative signal - CSI 2000: Negative signal[14][18] --- Quantitative Factors and Construction Methods 1. Factor Name: Factor Crowding Indicator - **Factor Construction Idea**: The factor crowding indicator measures the degree of crowding in specific factors, which can serve as a warning for factor underperformance[19] - **Factor Construction Process**: The indicator is calculated using four metrics: valuation spread, pairwise correlation, long-term return reversal, and factor volatility. These metrics are aggregated to produce a composite crowding score for each factor. For example: - Small-cap factor crowding score: 0.06 - Low-valuation factor crowding score: -0.31 - High-profitability factor crowding score: -0.01 - High-growth factor crowding score: 0.28[19][20] - **Factor Evaluation**: The crowding scores indicate varying levels of crowding across factors, with low-valuation and high-profitability factors showing negative scores, suggesting potential underperformance[19][20] --- Factor Backtesting Results 1. Factor Crowding Indicator - Small-cap factor crowding score: 0.06 - Low-valuation factor crowding score: -0.31 - High-profitability factor crowding score: -0.01 - High-growth factor crowding score: 0.28[19][20]

Investment Rating - The report maintains a positive outlook on the communication equipment and services industry, particularly focusing on investment opportunities in CPO and related supply chain companies [3][11]. Core Insights - North American cloud vendors have reported better-than-expected earnings, with significant capital expenditure guidance increases from major players like Google and Amazon, indicating strong growth in the AI computing industry chain [3][11]. - The report highlights the rapid growth of the optical communication industry driven by AI applications, with leading companies achieving record highs in stock performance [6][9]. - The transition from Scale-OUT to Scale-UP in optical applications is emphasized, suggesting a broadening of application scenarios and increased demand for optical modules and components [6][9]. Summary by Sections Weekly Viewpoint - The optical communication sector is experiencing unprecedented growth, with major cloud companies significantly increasing capital expenditures, leading to a strong performance in the optical communication supply chain [9]. - The report notes that while the market is currently experiencing fluctuations, long-term investment opportunities are becoming more apparent, particularly in the context of rising prices for optical fibers and components [9]. Industry News - Major cloud service providers like Google and Amazon have substantially raised their capital expenditure forecasts for 2026, with Google estimating between $175 billion and $185 billion, nearly double that of 2025, and Amazon projecting around $200 billion, a 50% increase from the previous year [11][24][25]. - The report discusses the implications of a recent tax increase on value-added services in China, which may impact the revenue and profit margins of major telecom operators [12]. Investment Highlights - The report indicates that the proportion of holdings in the optical communication sector has increased, reflecting a positive market sentiment driven by AI-related infrastructure investments [11][41]. - The domestic new generation computing infrastructure is set to enter a new cycle, with significant opportunities arising from the ongoing global infrastructure wave [11][41]. - The report suggests that the AI-driven network upgrades will enhance communication capabilities, leading to rapid advancements in network innovation and technology applications [11][41].

Investment Rating - The report rates the industry as "Buy" [4] Core Insights - Optimus is expected to become the first von Neumann machine, with a target annual production of one million units by 2026, marking a significant advancement in the robotics industry [2][5] - The report emphasizes the transition of robots from "being able to move" to "being able to act" through the development of force control technology, which is crucial for human-like robots [5][34] - Investment focus should be on robot manufacturers and core component suppliers, including actuators, motors, reducers, and sensors, highlighting specific companies for potential investment [5][46] Summary by Sections Industry News and Company Dynamics - Tesla's Optimus is set to be the first von Neumann machine, capable of establishing civilization on suitable planets, with a significant upgrade in its learning capabilities through observation of human behavior [8] - The Indian company Muks Robotics has launched its first humanoid robot, SPACEO-M1, indicating a global expansion of humanoid robot development [9] - Faraday Future has entered the robotics sector with three new products, aiming to deliver them immediately, marking a strategic shift for the company [11] Investment Recommendations - The report suggests focusing on key robot manufacturers and core component suppliers, recommending specific companies for investment in various categories such as actuators, reducers, and sensors [5][46] - Notable recommended companies include Zhaowei Electric, Hengli Hydraulic, and Unibot, among others [5][46] Force Control Technology - Force control technology is identified as a critical support for humanoid robots, enabling them to interact with their environment more effectively [34][35] - The report discusses two main technical solutions for force control: current loop-based and torque sensor-based, with the latter expected to dominate in humanoid robotics due to its higher precision [36][37] Financing Dynamics - Significant financing activities are noted in the robotics sector, with companies like LingMonkey Robotics and LimX Dynamics securing substantial funding to enhance their technological capabilities and production capacity [31][33]

Investment Rating - The report assigns an "Accumulate" rating for the food and beverage industry [1] Core Insights - Recent policies have strengthened consumer expectations, leading to marginal improvements in consumption during the Spring Festival season. The performance of high-end liquor, particularly Moutai, has rebounded, boosting market confidence. The focus is on growth in consumer staples and the recovery of the Consumer Price Index (CPI) [3][4] Summary by Sections Investment Recommendations - The report suggests that with the stabilization of real estate expectations and positive changes in cyclical consumption, the following stocks are recommended: 1. High-end liquor with price elasticity: Guizhou Moutai, Wuliangye, Luzhou Laojiao, and potential clearance stocks: Yingjia Gongjiu, Gujing Gongjiu, Shanxi Fenjiu, Jianshiyuan, Zhenjiu Lidu, Shede Liquor, and Jinhui Liquor 2. Beverages benefiting from travel: Dongpeng Beverage, Nongfu Spring (Hong Kong), with a focus on undervalued high-dividend stocks: China Foods (Hong Kong), Master Kong Holdings (Hong Kong), and Uni-President China (Hong Kong) 3. Growth stocks in snacks and food raw materials: Recommended are Bailong Chuangyuan, Weilong Delicious (Hong Kong), Yanjinpuzi, and Ximai Foods 4. Beer recommendations include Qingdao Beer, Zhujiang Beer, and Bairun Co., with China Resources Beer (Hong Kong) 5. Seasoning and catering are expected to recover, with recommendations for Qianhe Flavor Industry, Baoli Foods, Babi Foods, Anjii Foods, Haitian Flavoring, Angel Yeast, Yili Group, New Dairy, Youran Pastoral (Hong Kong), and Modern Dairy (Hong Kong) [4][7] Liquor Sector - The high-end liquor sector is leading the market, with Moutai's sales boosting confidence. The report notes that the liquor sector has seen significant gains recently, attributed to positive data and market sentiment. Moutai's monthly active users exceeded 15.31 million in January, with over 2.12 million transactions, indicating a recovery in channel sentiment [8][9] - The report anticipates that the liquor industry is at the bottom of its cycle, with potential catalysts for stock prices from improvements in market conditions, price increases, and inventory reductions. If positive trends in price, sales, and inventory continue post-Spring Festival, further catalysts may emerge [9] Consumer Staples - The approval of D-allohexose-3-epimerase as a food additive is expected to expand the domestic market for allulose, benefiting leading companies like Bailong Chuangyuan. The report highlights the potential for growth driven by health-conscious consumption trends [10][11] - The catering supply chain is expected to recover, with the report noting that the competition in the catering industry has reached a low point, and demand is anticipated to improve. The report also mentions that Babi Foods has shown positive growth, with a revenue of 1.859 billion in 2025, up 11.22% year-on-year, and a net profit of 245 million, up 16.49% year-on-year [11]