Investment Rating - The report gives an "Overweight" rating for the construction materials industry, indicating a positive outlook for the sector's performance relative to the overall market [30]. Core Insights - The construction materials industry is increasingly focused on ESG (Environmental, Social, and Governance) criteria, with a particular emphasis on green materials and carbon constraints. This report is part of a series aimed at developing an ESG evaluation system for state-owned enterprises in the construction materials sector [3][8]. - Recent policies have heightened the requirements for low-carbon, green, and environmentally responsible practices within the construction materials industry, leading to the establishment of industry standards and guidelines [3][9]. - The report outlines a comprehensive ESG evaluation framework that includes specific indicators tailored to the construction materials sector, emphasizing the importance of product quality and green materials [3][13]. Summary by Sections 1. ESG Policies for Construction Materials State-Owned Enterprises - The construction materials industry is a critical component of the national economy, with increasing policy demands for low-carbon and green practices. Recent initiatives include the establishment of a certification framework for green materials and the promotion of sustainable development practices [9][10]. - Key policies include the introduction of green material product certifications and the promotion of carbon peak strategies, with significant milestones set for 2025 [9][10]. 2. Construction Materials ESG Evaluation System - The ESG evaluation system for state-owned enterprises in the construction materials sector incorporates additional indicators such as "green materials" and "product quality," reflecting the industry's substantial carbon emissions [13][23]. - The evaluation framework consists of five categories of positive indicators and one category of negative indicators, with a total of 18 primary indicators and 51 secondary indicators [13][23]. - Specific areas of focus include importance assessment, environmental impact, climate change response, social responsibility, and corporate governance, each with defined scoring metrics [13][23][24]. 3. Detailed Indicator Breakdown - **Importance Assessment**: This is a core component of the evaluation, emphasizing the assessment process for significant issues, with a total score of 9 points available [14][25]. - **Environmental Indicators**: These are aligned with green development principles, including a new indicator for "green materials," with a total score of 17 points [15][17]. - **Climate Change Response**: This section includes 4 primary indicators and 18 secondary indicators, with a total score of 18 points, focusing on climate governance and management [18][19]. - **Social Responsibility**: This includes a new indicator for "quality responsibility," with a total score of 22 points, reflecting the industry's commitment to product safety and quality [20][21]. - **Governance Indicators**: These emphasize the importance of governance mechanisms, with a total score of 34 points available [23][24]. 4. Conclusion - The report highlights the growing importance of ESG practices in the construction materials industry, driven by regulatory requirements and market expectations. The establishment of a robust ESG evaluation framework is expected to enhance the industry's sustainability and competitiveness [3][12].

Market Overview - On October 10, A-shares saw all three major indices decline, with the Shanghai Composite Index down 0.94%, the Shenzhen Component Index down 2.70%, and the ChiNext Index down 4.55% [1] - The STAR 50 Index experienced the largest drop at 5.61% [1] - Approximately 2,770 stocks in the market rose, while the total trading volume in the Shanghai and Shenzhen markets was 25,156 billion RMB, showing a slight decrease compared to the previous trading day [1] - The financing balance reached a new high of 24,257 billion RMB on October 10 [1] Index Performance - The daily and year-to-date performance of major indices is as follows: - Shanghai Composite Index: -0.94%, +16.27% YTD - Shenzhen Component Index: -2.70%, +28.24% YTD - ChiNext Index: -4.55%, +45.37% YTD - STAR 50 Index: -5.61%, +46.89% YTD [2] Sector Performance - The top-performing sectors included: - Building Materials: +1.92% - Coal: +1.37% - Textile and Apparel: +1.30% - The sectors with the largest declines were: - Electronics: -4.71% - Electrical Equipment: -4.46% - Computers: -3.70% [6] Fund Flow Analysis - On the previous trading day, the ETF market saw a significant net inflow of 27.956 billion RMB, primarily driven by stock ETFs, which accounted for 27.461 billion RMB of the inflow [7] - The inflow for thematic ETFs was particularly strong at 18.658 billion RMB, while broad-based and sector ETFs saw inflows of 5.180 billion RMB and 4.120 billion RMB, respectively [8] - Notably, the semiconductor chip ETF and the STAR 50 ETF were among the top beneficiaries of fund inflows, receiving 7.077 billion RMB and 5.857 billion RMB, respectively [9] Industry Insights - In the chemical sector, a new policy aims for an average annual growth of over 5% in the value added of the petrochemical industry from 2025 to 2026, which could improve the long-term supply-demand dynamics and profitability of cyclical products [10] - In the livestock sector, there is an increasing expectation of a market reversal as the price of live pigs decreased by 4.6% in late September, prompting analysts to recommend focusing on high-quality pig farming companies with strong financials [11] - The insurance sector reported a 2.4% year-on-year increase in health insurance premium income, indicating potential for recovery in insurance stocks following a period of adjustment [12]

Market Overview - After the National Day holiday, the Shanghai Composite Index experienced fluctuations, initially surpassing 3900 points before retreating, indicating a market adjustment phase [1] - The construction materials and public utilities sectors showed resilience, prompting discussions about a potential shift in market style [1] Institutional Investment Trends - Recent disclosures from listed companies' Q3 reports and share buyback announcements revealed significant repositioning by well-known fund managers [1] - On October 10, major indices in A-shares collectively retreated, while the construction materials sector strengthened, with Huanxin Cement (600801) seeing a notable increase in shareholding by institutional investors [1] - Huanxin Cement's stock price surged over 70% since July, correlating with increased institutional interest, as evidenced by the entry of the Fuguo Tianhui Select Growth Fund as its eighth-largest shareholder [1] Specific Company Movements - Flagship glass company Qibin Group (601636) saw increased holdings from fund managers Zheng Chengran and Yang Ruiwen, with a notable rise in share price of over 40% since July [2] - Other companies like Jinling Mining (000655) and Daoshi Technology (300409) also experienced significant stock price increases of 44.89% and 56.49%, respectively, attracting public fund investments [2] Technology Sector Adjustments - In the technology sector, companies like Xindian Software and Chip Origin faced reductions in holdings from institutional investors, indicating a cautious approach towards tech growth stocks [3] - Despite reductions, Chip Origin's stock price increased by over 15% since late August, suggesting resilience in the face of institutional selling [3] - The technology sector remains under scrutiny, with some analysts suggesting that the high valuations may lead to profit-taking, yet there is potential for continued investment opportunities in AI applications and advanced semiconductor processes [3]

天眼查App显示，近日，信宜市世科建筑材料有限公司成立，注册资本100万人民币，经营范围为一般 项目：建筑材料销售；建筑装饰材料销售；建筑物清洁服务；住宅水电安装维护服务；金属门窗工程施 工；专业保洁、清洗、消毒服务；技术服务、技术开发、技术咨询、技术交流、技术转让、技术推广； 园林绿化工程施工；建筑防水卷材产品销售；林业有害生物防治服务；白蚁防治服务；环境卫生公共设 施安装服务；家用电器安装服务；家用电器零配件销售；家用电器销售；五金产品零售；五金产品批 发；金属制品销售；建筑用金属配件销售；劳务服务（不含劳务派遣）；机械设备租赁；灯具销售；照 明器具销售；建筑陶瓷制品销售；日用百货销售。（除依法须经批准的项目外，凭营业执照依法自主开 展经营活动）许可项目：建设工程施工；住宅室内装饰装修。（依法须经批准的项目，经相关部门批准 后方可开展经营活动，具体经营项目以相关部门批准文件或许可证件为准）。 ...

Group 1: Investment Activity - Notable fund manager Zhu Shaoxing's "Dumeng Fund" Fu Guo Tian Hui LOF increased its stake in cement leader Huaxin Cement, holding 9.781 million shares as of September 30, up from 500,000 shares at the end of June [2][3] - Glass leader Qibin Group also saw increased holdings from well-known fund managers, with Zheng Chengran's fund entering the top ten shareholders with 31.82 million shares [4] Group 2: Market Trends - The recent rebound in the commodity market is primarily driven by expectations surrounding the "anti-involution" policy, particularly in the building materials sector where capacity control policies have been clarified [5][6] - The current commodity market is characterized by a "strong expectation, weak reality" dynamic, indicating potential for future policy developments to impact market sentiment [5][6] Group 3: Sector Performance - The construction materials sector, including cement and glass, has shown significant performance, with Huaxin Cement's stock price increasing over 70% since July and Qibin Group's stock rising over 42% [2][4] - The real estate sector is showing signs of stabilization, which may positively influence the performance of traditional building materials like cement and coatings [5][6]

Core Viewpoint - A new company, Chengde Qika Building Materials Co., Ltd., has been established with a registered capital of 100,000 RMB, focusing on various construction and chemical product manufacturing and sales [1] Company Summary - The legal representative of the newly established company is Yu Lihua [1] - The registered capital of the company is 100,000 RMB [1] - The company’s business scope includes the manufacturing of cement products and specialized chemical products (excluding hazardous chemicals) [1] - The company is also involved in the sales of building materials and chemical products (excluding licensed chemical products) [1] - The company will engage in the research and development of bio-chemical products and provide information technology consulting services [1] Industry Summary - The company is permitted to conduct road cargo transportation (excluding hazardous goods), subject to approval from relevant authorities [1] - The operational activities of the company will be conducted in accordance with the business license and relevant approval documents [1]

天眼查App显示，近日，内蒙古盛世能源科技有限公司成立，法定代表人为钱巨胜，注册资本500万人 民币，经营范围为一般项目：轻质建筑材料制造；新型建筑材料制造（不含危险化学品）；非金属矿物 材料成型机械制造；模具制造；石油制品制造（不含危险化学品）；矿物洗选加工；建筑用石加工；非 金属矿及制品销售；耐火材料生产；耐火材料销售；土地整治服务；林业专业及辅助性活动；信息咨询 服务（不含许可类信息咨询服务）；园林绿化工程施工；建筑材料销售；公共事业管理服务；机械设备 销售；机械设备租赁；土石方工程施工；生态恢复及生态保护服务；土壤污染治理与修复服务；土壤环 境污染防治服务；国内贸易代理；装卸搬运；运输货物打包服务；石油天然气技术服务。（除依法须经 批准的项目外，凭营业执照依法自主开展经营活动）。 ...

Group 1: Demand - New housing transaction volume in 20 cities decreased by 61% week-on-week and 48% year-on-year, remaining below seasonal levels [13][15][29] - First-tier cities saw significant declines in new housing transactions, with Beijing, Shanghai, Guangzhou, and Shenzhen experiencing week-on-week drops of 78%, 72%, 61%, and 85% respectively [13][15] - Automotive consumption showed a notable increase, with average daily retail sales of passenger cars rising by 49.3% week-on-week, despite a year-on-year decline of 4.8% [38] Group 2: Production - PTA operating rate remained stable at 77.7%, while the operating rate for rebar decreased by 0.3 percentage points to 40.0% [47] - The operating rate for asphalt facilities increased to a year-to-date high of 40.1%, reflecting a 5.7 percentage point rise [47] - Downstream production rates for automotive tires decreased significantly, with full steel tire operating rates dropping by 14.9% and semi-steel tire rates by 18.3% [47][59] Group 3: Investment - Apparent consumption of rebar fell by 39.4% week-on-week to 146.0 million tons, with prices slightly decreasing to 3260.0 yuan per ton [62] - Cement shipment rates decreased week-on-week, with the cement price index dropping by 0.6% to 104.9 points [62][70] - The implementation of 500 billion yuan in new policy financial tools is expected to accelerate infrastructure investment in the fourth quarter [1] Group 4: Trade - Port container throughput increased by 8.8% week-on-week, surpassing last year's levels, while the CCFI comprehensive index fell by 6.7% [73] - Export shipping prices continued to decline, with significant drops in rates for European and American routes [73][77] - The BDI index also experienced a decline of 4.4% week-on-week [73] Group 5: Prices - Agricultural product wholesale prices saw a slight decrease, with the 200 index dropping by 0.1% [83] - Pork prices fell by 2.7% week-on-week, while vegetable prices decreased by 2.9% [83][86] - The PPI for industrial products decreased by 0.2%, with Brent crude oil prices falling by 0.6% [87] Group 6: Interest Rate Bonds - As of October 10, the cumulative issuance progress of replacement bonds reached 99.3%, with a total issuance of 19,862 billion yuan [102][104] - New general bonds issued totaled 6,717 billion yuan, with a cumulative issuance progress of 84.0% [107] - The total issuance of government bonds for the year was 121,835 billion yuan, with a net financing scale of 55,837 billion yuan [109]

Core Conclusions - The overall valuation of A-shares has expanded this week, with the non-ferrous metals industry continuing to lead the market [1] - During the National Day holiday, favorable factors for the non-ferrous industry have emerged, contributing to its ongoing leadership [1] - The current overall PB (LF) of the non-ferrous metals industry is at the historical 87.8 percentile, with specific sectors like copper, aluminum, lithium, and gold at 92.1%, 96.3%, 40.7%, and 83.6% percentiles respectively, indicating greater valuation upside potential for lithium [1] A-share Valuation Overview - The overall PE (TTM) of A-shares increased from 22.36 times last week to 22.78 times this week, while PB (LF) rose from 2.17 times to 2.21 times [10] - The PE (TTM) of the ChiNext board increased from 81.61 times to 82.22 times, while its PB (LF) remained stable at 4.88 times [19] - The PE (TTM) of the Sci-Tech Innovation Board rose from 272.77 times to 276.66 times, with PB (LF) increasing from 6.72 times to 6.81 times [21] Industry Valuation Levels - From a static PE (TTM) perspective, major industries such as consumer discretionary, midstream manufacturing, and cyclical sectors have absolute and relative valuations above historical medians, with consumer discretionary and midstream manufacturing exceeding the 90th percentile [27] - In terms of PB (LF), TMT, midstream manufacturing, and consumer discretionary also show absolute and relative valuations above historical medians, while financial services and consumer staples are below historical medians [29] - The overall valuation of key companies in A-shares based on dynamic PE increased from 15.17 times to 15.19 times this week [14] Relative Valuation Expansion - The relative PE (TTM) for computing infrastructure, excluding operators and resource categories, decreased from 5.80 times to 5.66 times, while relative PB (LF) fell from 5.69 times to 5.54 times [23] - The current comparison of odds (PB historical percentiles) and win rates (ROE historical percentiles) indicates that industries like oil and petrochemicals, as well as agriculture, forestry, animal husbandry, and fishery, exhibit characteristics of low valuation and high profitability [2] ERP and Equity-Debt Yield Spread - The non-financial ERP of A-shares decreased from 0.80% to 0.76%, while the equity-debt yield spread fell from -0.19% to -0.24% [60] - The dynamic ERP of key non-financial companies in A-shares increased from 2.76% to 2.77% this week [64]

Quantitative Models and Construction - **Model Name**: PB-ROE-50 **Model Construction Idea**: The model combines Price-to-Book ratio (PB) and Return on Equity (ROE) to construct a stock selection strategy[25] **Model Construction Process**: The PB-ROE-50 model selects stocks based on their PB and ROE metrics. Stocks with favorable PB and ROE values are included in the portfolio. The model uses a monthly rebalancing approach to optimize the portfolio[25][26] **Model Evaluation**: The model demonstrates positive excess returns in most stock pools, indicating its effectiveness in capturing value and profitability factors[25][26] - **Model Name**: Institutional Research Tracking Strategy **Model Construction Idea**: This strategy leverages institutional research activities (public and private) to identify stocks with potential excess returns[27] **Model Construction Process**: The strategy tracks stocks that are frequently researched by public and private institutions. Stocks with higher research frequency are included in the portfolio. The portfolio is rebalanced periodically to reflect updated research trends[27][28] **Model Evaluation**: The strategy shows consistent positive excess returns, suggesting that institutional research activities can be a reliable indicator for stock selection[27][28] - **Model Name**: Block Trade Strategy **Model Construction Idea**: The strategy identifies stocks with high block trade activity and low volatility to construct a portfolio[31] **Model Construction Process**: Stocks are selected based on two criteria: high block trade transaction ratios and low 6-day transaction volatility. The portfolio is rebalanced monthly to maintain these characteristics[31][32] **Model Evaluation**: The strategy has mixed results, with negative excess returns in the recent 2-week period, but positive performance over the year[31][32] - **Model Name**: Directed Issuance Strategy **Model Construction Idea**: The strategy focuses on stocks involved in directed issuance events to capture potential investment opportunities[36] **Model Construction Process**: Stocks are selected based on the announcement date of directed issuance events. The strategy considers market capitalization, rebalancing frequency, and position control to construct the portfolio[36][37] **Model Evaluation**: The strategy shows negative excess returns in the recent 2-week period, raising questions about its effectiveness under current market conditions[36][37] Model Backtesting Results - **PB-ROE-50 Model**: - Excess return in CSI 500: -0.82% - Excess return in CSI 800: 1.45% - Excess return in the entire market: 0.75%[25][26] - **Institutional Research Tracking Strategy**: - Public research excess return: 1.03% - Private research excess return: 1.89%[27][28] - **Block Trade Strategy**: - Excess return relative to CSI All Index: -0.57%[31][32] - **Directed Issuance Strategy**: - Excess return relative to CSI All Index: -1.13%[36][37] Quantitative Factors and Construction - **Factor Name**: Liquidity Factor **Factor Construction Idea**: Measures the liquidity of stocks to identify those with higher trading activity[20] **Factor Construction Process**: The liquidity factor is calculated using metrics such as turnover rate and trading volume. Stocks with higher liquidity scores are assigned positive weights[20] **Factor Evaluation**: The factor shows positive returns in the recent 2-week period, indicating its effectiveness in capturing market liquidity trends[20] - **Factor Name**: Leverage Factor **Factor Construction Idea**: Evaluates the financial leverage of companies to identify those with higher risk-adjusted returns[20] **Factor Construction Process**: The leverage factor is derived from financial ratios such as debt-to-equity and interest coverage. Companies with optimal leverage levels are favored[20] **Factor Evaluation**: The factor demonstrates positive returns, suggesting its utility in identifying financially stable companies[20] - **Factor Name**: Profitability Factor **Factor Construction Idea**: Captures the profitability of companies to identify those with strong earnings performance[20] **Factor Construction Process**: The profitability factor is calculated using metrics such as ROE, ROA, and net profit margin. Stocks with higher profitability metrics are given positive weights[20] **Factor Evaluation**: The factor shows positive returns, indicating its effectiveness in identifying profitable companies[20] - **Factor Name**: Valuation Factor **Factor Construction Idea**: Measures the relative valuation of stocks to identify undervalued opportunities[20] **Factor Construction Process**: The valuation factor is derived from metrics such as Price-to-Earnings (P/E) and Price-to-Book (P/B) ratios. Stocks with lower valuation scores are assigned positive weights[20] **Factor Evaluation**: The factor demonstrates positive returns, supporting its use in identifying undervalued stocks[20] - **Factor Name**: Non-linear Market Capitalization Factor **Factor Construction Idea**: Captures the non-linear relationship between market capitalization and stock returns[20] **Factor Construction Process**: The factor is constructed using a non-linear transformation of market capitalization data. Stocks with optimal market capitalization are assigned positive weights[20] **Factor Evaluation**: The factor shows positive returns, indicating its ability to capture market capitalization trends effectively[20] - **Factor Name**: Beta Factor **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market movements[20] **Factor Construction Process**: The beta factor is calculated using historical return data and market indices. Stocks with lower beta values are assigned positive weights[20] **Factor Evaluation**: The factor shows negative returns, suggesting its limited effectiveness in the current market environment[20] - **Factor Name**: Residual Volatility Factor **Factor Construction Idea**: Evaluates the idiosyncratic risk of stocks to identify those with stable performance[20] **Factor Construction Process**: The residual volatility factor is derived from the standard deviation of residuals in a regression model of stock returns against market returns[20] **Factor Evaluation**: The factor shows negative returns, indicating its limited utility in the recent market conditions[20] - **Factor Name**: Growth Factor **Factor Construction Idea**: Captures the growth potential of companies based on their financial performance[20] **Factor Construction Process**: The growth factor is calculated using metrics such as revenue growth and earnings growth. Stocks with higher growth rates are assigned positive weights[20] **Factor Evaluation**: The factor shows negative returns, suggesting its limited effectiveness in the current market environment[20] Factor Backtesting Results - **Liquidity Factor**: Return: 0.36%[20] - **Leverage Factor**: Return: 0.34%[20] - **Profitability Factor**: Return: 0.27%[20] - **Valuation Factor**: Return: 0.18%[20] - **Non-linear Market Capitalization Factor**: Return: 0.18%[20] - **Market Capitalization Factor**: Return: 0.11%[20] - **Beta Factor**: Return: -0.65%[20] - **Residual Volatility Factor**: Return: -0.55%[20] - **Growth Factor**: Return: -0.21%[20]