Report Industry Investment Rating - Not provided in the given content Core Viewpoints of the Report - Trump-nominated next Fed Chair Wash has monetary - policy characteristics including monetarism, fiscal hawkishness, and a "vision" of rate cuts. If Wash takes office, he may review past Fed policies and establish a monetarist - like policy concept. The realization of his rate - cut "vision" depends on the coordination of fiscal policy. If the coordination fails, the interest - rate outlook may be more volatile. If the coordination is successful, the Fed may gradually shrink its balance sheet, and inflation may further decline [3]. - Upstream price indicators continue to rise. In the week of February 6, the average wholesale price of pork decreased by 1.12% week - on - week, the average wholesale price of 28 key - monitored vegetables decreased by 1.46% week - on - week, and the price index of edible agricultural products increased by 0.20% week - on - week on January 30. Domestic cement price index decreased by 0.52% week - on - week, South China Iron Ore Index decreased by 1.89% week - on - week, the operating rate of coking enterprises with a capacity of over 2 million tons increased by 0.18% week - on - week, the inventory index of rebar increased by 12.05% week - on - week, and the blast - furnace operating rate of 247 domestic steel mills increased by 0.67% week - on - week. The price index of production materials increased by 0.90% week - on - week on January 30 [3]. - In the US - Iran negotiations, tough stances and opportunities for easing are intertwined. In this week, the average prices of Brent and WTI crude - oil futures decreased by 1.25% and increased by 0.15% week - on - week respectively. The average weekly price of LME copper spot decreased by 1.79%, the average weekly price of aluminum spot decreased by 4.99%, and the copper - to - gold ratio increased by 3.93% week - on - week [3]. Summary by Directory High - Frequency Data Scanning - Wash's policy concept features include monetarism, fiscal hawkishness, and a rate - cut "vision". The realization of the rate - cut "vision" depends on the coordination of fiscal policy [1][3]. - Upstream price indicators: In the week of February 6, the average wholesale price of pork decreased by 1.12% week - on - week, the average wholesale price of 28 key - monitored vegetables decreased by 1.46% week - on - week, and the price index of edible agricultural products increased by 0.20% week - on - week on January 30. Domestic cement price index decreased by 0.52% week - on - week, South China Iron Ore Index decreased by 1.89% week - on - week, the operating rate of coking enterprises with a capacity of over 2 million tons increased by 0.18% week - on - week, the inventory index of rebar increased by 12.05% week - on - week, and the blast - furnace operating rate of 247 domestic steel mills increased by 0.67% week - on - week. The price index of production materials increased by 0.90% week - on - week on January 30 [3]. - US - Iran negotiations: In this week, the average prices of Brent and WTI crude - oil futures decreased by 1.25% and increased by 0.15% week - on - week respectively. The average weekly price of LME copper spot decreased by 1.79%, the average weekly price of aluminum spot decreased by 4.99%, and the copper - to - gold ratio increased by 3.93% week - on - week [3]. High - Frequency Data Panoramic Scanning - Provides week - on - week changes of various high - frequency data, including food, other consumer goods, bulk commodities, energy, non - ferrous metals, ferrous metals, real estate, and shipping. For example, the average wholesale price of pork decreased by 1.12% week - on - week, and the price index of production materials increased by 0.90% week - on - week [17]. - Presents the latest values and historical data of high - frequency indicators related to important macro - indicators, such as LME copper spot settlement price year - on - year, crude - steel daily output year - on - year, etc. [18]. Comparison of High - Frequency Data and Important Macro - Indicator Trends - Shows the relationship between high - frequency data and important macro - indicators through multiple charts, such as the relationship between RJ/CRB price index year - on - year and export amount year - on - year, and the relationship between production materials price index year - on - year and PPI industrial year - on - year [22]. Important High - Frequency Indicators in the US, Europe, and Japan - Displays the relationship between US weekly economic indicators and actual economic growth rate, US initial jobless claims and unemployment rate, etc. through charts [87]. Seasonal Trends of High - Frequency Data - Analyzes the seasonal trends of high - frequency data, including the seasonal trends of 30 large - and medium - sized cities' commercial - housing transaction area, LME copper spot settlement price, etc. [102]. High - Frequency Traffic Data in Beijing, Shanghai, Guangzhou, and Shenzhen - Presents the year - on - year changes of subway passenger volume in Beijing, Shanghai, Guangzhou, and Shenzhen [149].

金融工程 | 证券研究报告 — 周报 2026 年 2 月 6 日 中银量化多策略行业轮动 周报 – 20260205 当前（2026年 2月 5日）中银多策略行业配置系统仓位：通信（17.0%）、 基础化工（15.1%）、电力设备及新能源（10.7%）、煤炭（10.2%）、医 药（7.9%）、建材（7.0%）、电子（4.2%）、计算机（4.2%）、非银行 金融（4.0%）、消费者服务（3.8%）、综合（3.8%）、银行（3.0%）、 家电（3.0%）、建筑（3.0%）、石油石化（3.0%）。 S5 传统多因子打分策略（季度）超额收益为-2.7% 相关研究报告 《中银证券量化行业轮动系列（七）：如何把 握市场"未证伪情绪"构建行业动量策略》 20220917 《中银证券量化行业轮动系列（八）："估值泡 沫保护"的高景气行业轮动策略》20221018 《中银证券宏观基本面行业轮动新框架：对传 统自上而下资产配置困境的破局》20230518 《中银证券量化行业轮动系列（九）：长期反 转-中期动量-低拥挤"行业轮动策略》20240914 《中银证券量化行业轮动系列（十）：如何基 于资金流构建行业轮动策略？》2025 ...

策略研究 | 证券研究报告 — 总量点评 2026 年 2 月 6 日 策略点评 2025 年 A 股业绩预告 整体景气延续修复，扩散度上行，景气行业趋势延续。 中银国际证券股份有限公司 具备证券投资咨询业务资格 策略研究 证券分析师：王君 (8610)66229061 jun.wang@bocichina.com 证券投资咨询业务证书编号：S1300519060003 证券分析师：徐亚 （8621）20328506 ya.xu@bocichina.com 证券投资咨询业务证书编号：S1300521070003 ◼ 截至 2026 年 2 月 5 日，全 A 共有 3 家公司披露 2025 年年报，84 家公司 发布业绩快报，2950 家公司发布业绩预告，合计披露 2025 年经营数据的 公司数为 3037 家，整体披露率 58.8%。 ◼ 样本公司 2025 年整体法口径下，盈利增速为 36.9%，较 2025Q3 的 14.3% 有所上行。中位数法口径下，盈利增速为 15.7%，较 2025Q3 的 3.2%有所 上行。 ◼ 样本公司（非金融）整体法口径下，2025 年整体法盈利增速为 247.0%， 较 ...

Core Insights - The report emphasizes that the recent pullback in the AI industry is a necessary phase in the deep integration of AI technology into various sectors, rather than a fundamental threat to the industry's future [1][6] - It suggests that the current market concerns regarding the uncertainty of AI application business models and hardware demand are part of the industry's evolution, and that this pullback presents investment opportunities in AI applications, cloud services, and storage [2][6] Market Trends - Since mid-January 2026, the AI industry chain has experienced a continuous pullback, exacerbated by several events in early February, including Microsoft's financial report revealing dual concerns about growth dependency and investment returns [2][3] - Microsoft's Q2 2026 financial report indicated a slowdown in Azure cloud computing growth and projected capital expenditures exceeding $100 billion, with approximately 45% of its cloud business backlog dependent on OpenAI [3] - Concerns were also raised regarding NVIDIA's investment stance on OpenAI, with CEO Jensen Huang indicating a cautious approach to investment, despite previous indications of a potential $100 billion investment [4] Business Model Uncertainty - The report identifies dual uncertainties in the market: the uncertainty of AI application business models and the uncertainty of real demand [5][6] - It highlights that traditional SaaS companies may face challenges as enterprises consider building their own AI tools, potentially undermining SaaS profitability [5][6] - The report argues that the market's valuation logic is shifting from paying premiums for future potential to assessing current realities and investment returns [5] Long-term Outlook - The report posits that the concerns regarding business model and demand uncertainties are part of the necessary evolution towards deeper integration of AI technology, rather than a fundamental threat to the industry's prospects [6] - It suggests that traditional application vendors can leverage their industry knowledge and data advantages to build new barriers in the AI era, and that early movers may see valuation increases [6][7] - The demand for hardware is expected to grow in tandem with the maturity of software applications, as AI applications transition from "technology demonstrations" to "production tools" [7]

Core Insights - The report highlights the contradiction faced during the "14th Five-Year Plan" period, where carbon reduction pressures are increasing while the growth rate of new energy installations is slowing down. The introduction of a national capacity price policy is expected to open up space for new energy installations and support high-yield investment options for power companies during the "14th Five-Year Plan" investment intensity [5][6][9]. Group 1: Energy Storage Industry - The national capacity price policy, issued on January 30, 2026, aims to establish a mechanism that balances power supply stability, green energy transformation, and efficient resource allocation. This policy is expected to support the development of adjustable power sources and enhance the installation of new energy [7][9]. - The report estimates that the demand for energy storage will show a high growth trend, with new energy storage installations expected to reach 66.43 GW and 189.48 GWh in 2025, representing year-on-year increases of 52% and 73% respectively [8][9]. - The capacity price policy is seen as the final piece needed for energy storage development, potentially increasing project returns from approximately 6.5% to over 8% under current subsidy conditions. This is expected to stimulate investment interest from state-owned enterprises in new energy storage projects [8][9]. Group 2: Investment Recommendations - The report suggests prioritizing investments in leading companies involved in energy storage integration and upstream battery cells, recommending firms such as Sungrow Power Supply, Trina Solar, LONGi Green Energy, JinkoSolar, CATL, and Eve Energy. It also advises monitoring companies like Haisum, Sungrow Electric, Canadian Solar, and Penghui Energy [9].

Core Insights - The report introduces a macro factor assetization framework for timing strategies in government bond futures, demonstrating robust return characteristics and strong risk resistance through backtesting [1][2]. Group 1: Macro Real-Time (PIT) Indicator Library Construction - The macro factor assetization strategy utilizes real-time macro data, contrasting with traditional models that lag by 1-2 months, by employing a precise macroeconomic calendar to obtain macro data disclosure dates and times [4][19]. - The PIT macro indicators are designed across four dimensions: economic growth, inflation, monetary credit policy, and central bank open market operations, creating a macro factor library [4][19]. Group 2: Strategy Construction and Backtesting - The strategy framework consists of three main steps: macro factor construction, macro trading logic net value realization, and dynamic factor selection and combination [4][29]. - The model achieved a post-fee Sharpe ratio of approximately 1.3 and a Calmar ratio of about 1.1, indicating strong performance despite challenges in capturing significant excess returns during the bull market from 2021 to 2024 [4][29]. - The model's performance is relatively insensitive to the lag parameter n, with optimal settings found between 10 to 30 minutes, leading to a standardized approach of a 10-minute lag for all signals [4][29]. Group 3: Factor Dynamic Selection and Combination - The macro factors are categorized into four types: economic growth, inflation, monetary credit, and open market operations, with each factor's performance analyzed for effective timing signals [4][29]. - The report emphasizes the importance of dynamic factor selection to enhance model performance, utilizing momentum factor selection methods to optimize the factor pool [4][29][56]. - The empirical results indicate that the combined signals from multiple factors significantly improve timing effectiveness compared to single-factor performance [4][29][74].

Investment Rating - The report maintains an "Outperform" rating for the energy storage industry, indicating expected performance above the market benchmark over the next 6-12 months [2][44]. Core Insights - During the "14th Five-Year Plan" period, China is expected to face increased carbon reduction pressures while experiencing a slowdown in new energy installation growth. The introduction of a national capacity pricing policy in January 2026 is anticipated to open up new installation space for renewable energy and support high-yield investment opportunities for power companies [2][4][12]. - The demand for energy storage is projected to grow significantly, with new energy storage installations expected to reach 66.43 GW and 189.48 GWh in 2025, representing year-on-year increases of 52% in power scale and 73% in energy scale [31][37]. Summary by Sections Investment Recommendations - The report suggests prioritizing investments in leading companies involved in energy storage integration and upstream battery cells, recommending firms such as Sungrow Power Supply, Trina Solar, LONGi Green Energy, JinkoSolar, CATL, and EVE Energy. It also advises monitoring companies like Haibo Technology, Sungrow Electric, Canadian Solar, and Penghui Energy [4][37]. Policy Impact - The national capacity pricing policy aims to stabilize investment returns for energy storage projects, potentially increasing project profitability to over 8% under favorable conditions. This policy is seen as a crucial element for driving investment enthusiasm among state-owned enterprises in the energy sector [4][23][37]. Market Dynamics - The report highlights that the share of energy storage in new energy installations is expected to rise, with energy storage becoming a core investment direction for power state-owned enterprises during the "15th Five-Year Plan" period. The report anticipates a shift in demand for energy storage beyond just the northern regions of China, with central and eastern provinces also likely to see increased demand [22][24][37]. Growth Projections - The energy storage market is expected to experience high growth, with projections indicating that from 2026 to 2027, domestic energy storage installations will maintain a high level of activity. The report emphasizes the importance of energy storage in supporting the stability of renewable energy sources like wind and solar [31][37].

Group 1: Computer Industry Insights - The merger of SpaceX and xAI aims to integrate space and AI businesses, with plans for an IPO before June 2026 [8] - Meta plans to significantly increase its capital expenditure to $115-135 billion in 2026, nearly doubling its 2025 spending, to support AI infrastructure and core business growth [9][10] - Nvidia, Amazon, and Microsoft are negotiating to invest up to $60 billion in OpenAI, with SoftBank considering an additional $30 billion investment [10] Group 2: Real Estate Industry Insights - New home transaction area saw a significant increase, with a 15.9% month-on-month rise and a 240.1% year-on-year increase, attributed to the previous year's Spring Festival [14] - Second-hand home transaction area decreased by 5.6% month-on-month but increased by 793.2% year-on-year, indicating a shift in market dynamics [14] - The inventory of new homes increased by 0.2% month-on-month but decreased by 5.9% year-on-year, with a de-stocking cycle of 17.6 months [15] Group 3: Investment Recommendations - The report suggests focusing on companies related to space computing, such as Jiayuan Technology and Shanghai Huanxun, due to the anticipated growth from the SpaceX and xAI merger [11] - In the real estate sector, it is recommended to pay attention to firms with stable fundamentals in core cities, such as China Resources Land and China Merchants Shekou, as well as smaller firms that have shown significant breakthroughs in sales and land acquisition [18]

政策 ◼ 1）根据上交所官网，1 月 29 日-30 日，已有 8 只商业不动产 REITs 申报至交易 所（分别为华安锦江商业、中金唯品会商业、汇添富上海地产商业、国泰海通砂 之船商业、华安陆家嘴商业、华夏凯德商业、华夏银泰百货商业、华夏保利发展 商业不动产 REITs），预计募集总额 314.7 亿元，涵盖酒店、写字楼与配套商业、 奥特莱斯、购物中心、服务式公寓等多种商业业态，原始权益人有保利发展、上 海地产、陆家嘴、凯德投资、银泰百货、锦江国际、唯品会、砂之船（西安）。 2）根据财联社报道，多家房企目前已经不被监管部分要求每月上报"三条红线"指 标，不过部分出险房企被要求向总部所在城市专班组定期汇报资产负债率等财务 指标。2020 年 8 月，监管部门为控制房企有息负债规模，对房企设置了融资"三条 红线"，不过近几年基本已经不被提及。 投资建议 房地产行业 | 证券研究报告 — 行业周报 2026 年 2 月 3 日 房地产行业第 5 周周报（2026 年 1 月 24 日-2026 年 1 月 30 日） 受去年同期为春节的影响，楼市成交同比正增长；首批 商业不动产 REITs 已申报至交易所 新房成 ...

Investment Rating - The industry investment rating is "Outperform the Market," indicating that the industry index is expected to perform better than the benchmark index over the next 6-12 months [31]. Core Insights - The potential merger between SpaceX and xAI aims to create a "Space AI" empire, integrating various technologies and services, which could significantly advance the space computing industry [12][13]. - Meta's financial results exceeded expectations, leading to a substantial increase in capital expenditure for AI infrastructure, signaling a strategic shift towards AI from its previous focus on the metaverse [14][15]. - OpenAI is in discussions for significant investments totaling up to $600 billion, but concerns about a "circular financing" model may pose challenges to its long-term sustainability [16][17]. Summary by Sections Industry Developments - SpaceX and xAI are planning a merger to enhance their capabilities in space computing, with a valuation of SpaceX at $800 billion and a goal for an IPO by June [12][13]. - Meta's projected capital expenditure for 2026 is between $115 billion and $135 billion, nearly double its 2025 spending, reflecting a strong commitment to AI development [14][15]. - OpenAI is negotiating investments from major tech companies, including NVIDIA and Amazon, which could provide essential funding amid competitive pressures [16][17]. Company Dynamics - The report highlights various companies in the space computing sector that may benefit from the merger, including佳缘科技, 上海瀚讯, and others [3]. - Meta's strategic shift includes layoffs in its Reality Labs division and a focus on AI talent acquisition, indicating a reallocation of resources towards AI [14][15]. - Concerns regarding OpenAI's funding model suggest that the investments may not significantly improve its financial independence, raising questions about its long-term viability [16][17].