Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to monitor market trends and identify potential market leaders. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ represents the latest closing price - $\text{ts\_max(Close, 250)}$ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies market trends and highlights stocks or indices that are leading the market, aligning with the principles of momentum and trend-following strategies[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable price paths and consistent momentum, as smoother price trajectories are associated with stronger momentum effects[24][27]. - **Model Construction Process**: The selection process involves the following criteria: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **Sustainability of New Highs**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][27]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus yield stronger returns[24][27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Stable New High Stock Selection Model - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative distance of a stock's price from its 250-day high, serving as an indicator of momentum and trend strength[11]. - **Factor Construction Process**: The formula is: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ is the latest closing price - $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, making it a reliable indicator for identifying market leaders[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period - Rank stocks based on this ratio and select the top performers[24]. - **Factor Evaluation**: The factor highlights stocks with stable momentum, which are less likely to attract excessive attention and thus yield stronger returns[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33]

Core Insights - The state-owned large bank sector experienced a decline of 0.55% on November 21, with Postal Savings Bank leading the drop [1] - The Shanghai Composite Index closed at 3834.89, down 2.45%, while the Shenzhen Component Index closed at 12538.07, down 3.41% [1] Bank Performance Summary - China Bank (601988) closed at 6.29, up 0.80% with a trading volume of 6.807 million shares and a transaction value of 4.294 billion [1] - Industrial and Commercial Bank of China (601398) closed at 8.25, down 0.24% with a trading volume of 4.644 million shares [1] - China Construction Bank (601939) closed at 9.79, down 0.31% with a trading volume of 1.800 million shares [1] - Bank of Communications (601328) closed at 7.62, down 0.39% with a trading volume of 2.440 million shares [1] - Agricultural Bank of China (601288) closed at 8.05, down 1.35% with a trading volume of 3.334 million shares [1] - Postal Savings Bank (601658) closed at 5.81, down 1.69% with a trading volume of 2.113 million shares [1] Fund Flow Analysis - The state-owned large bank sector saw a net outflow of 394 million yuan from institutional investors, while retail investors had a net inflow of 308 million yuan [1] - The fund flow for individual banks shows that: - Bank of Communications had a net inflow of 49.743 million yuan from institutional investors [2] - Industrial and Commercial Bank had a net inflow of 2.533 million yuan from institutional investors [2] - China Bank experienced a net outflow of 14.801 million yuan from institutional investors [2] - China Construction Bank had a net outflow of 46.069 million yuan from institutional investors [2] - Postal Savings Bank saw a significant net outflow of 125 million yuan from institutional investors [2] - Agricultural Bank of China had a net outflow of 261 million yuan from institutional investors [2]

Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, indicating market trends and hotspots [1][4][24] - As of November 21, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 4.83%, Shenzhen Component Index 8.65%, CSI 300 6.20%, CSI 500 9.69%, CSI 1000 7.59%, CSI 2000 7.40%, ChiNext Index 12.16%, and STAR 50 Index 16.45% [5][24] - Among the CITIC primary industry indices, the sectors closest to their 250-day new highs include petroleum and petrochemicals, textiles and apparel, basic chemicals, home appliances, and steel [8][24] Group 2 - A total of 1,127 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the basic chemicals, machinery, and power equipment and new energy sectors [2][13][24] - The highest proportion of new high stocks is found in the textiles and apparel, coal, and non-ferrous metals sectors, with respective proportions of 41.41%, 38.89%, and 38.71% [13][24] - The cyclical and manufacturing sectors had the most new high stocks this week, with 364 and 315 stocks respectively [15][24] Group 3 - The report identifies 15 stocks that have shown stable new highs, including Heertai, Sry New Materials, and Cangge Mining, with the manufacturing and cyclical sectors contributing the most stocks [3][20][25] - The construction industry had the highest number of new highs within the manufacturing sector, while the non-ferrous metals industry led in the cyclical sector [20][25]

Core Viewpoint - Banks are increasingly charging for services that were previously free, such as transaction SMS notifications, as they face declining profits and need to find new revenue sources [1][3][9]. Group 1: Changes in Banking Services - Users have reported that banks are inviting them to participate in activities that lead to charges for services that were once free, such as SMS notifications for account transactions [1]. - Many banks have raised the threshold for free SMS notifications, with China Bank increasing the trigger amount from 0 to 100 yuan, and Hunan Rural Credit raising it from 200 to 500 yuan [3]. - Some banks, like Guizhou Rural Credit, have started charging for SMS services, while Minsheng Bank has ended free SMS notifications for transactions over 300 yuan, now charging 2 yuan per month [3][6]. Group 2: Broader Trends in Banking Fees - The trend of banks withdrawing free services is not limited to SMS notifications; many banks are adjusting various service fees, including ATM withdrawal fees and card delivery fees [4][6]. - For example, China Agricultural Bank has canceled free cash withdrawal policies for certain credit cards and increased fees for cross-bank withdrawals [6]. - Local banks, such as Lujiang Rural Commercial Bank, have also begun charging for ATM withdrawals, previously free [8]. Group 3: Reasons Behind Fee Increases - The banking industry is facing pressure on profits due to reduced loan demand and lower interest rates, leading to a decline in net interest margins [9][11]. - The net interest margin for commercial banks dropped from 1.69% in Q1 2024 to 1.43% in Q1 2025, significantly below the historical average of 2.44% [11]. - As banks look to cut costs, they are reducing the number of physical branches and staff, which has led to a focus on previously overlooked fees like SMS and delivery charges [11][12]. Group 4: Financial Implications of Fee Changes - Charging for SMS notifications can provide significant profit margins for banks, with a potential net profit margin of 87.5% based on the cost of sending messages [13]. - The shift from free to paid services is seen as a necessary measure for banks to maintain profitability in a challenging economic environment [14]. Group 5: User Adaptation Strategies - Users are encouraged to adapt to these changes by utilizing remaining free services and considering alternative notification methods, such as app notifications instead of SMS [15]. - Planning transactions to maximize free services and opting for electronic statements can help users mitigate the impact of these fee increases [15].

转自：新华财经 新华财经上海11月21日电（记者 王淑娟）在长三角这片创新沃土上，科技金融正成为连接"实验 室"与"大市场"的关键桥梁。中国农业银行始终以服务国家战略为使命担当，持续完善金融支持科技创 新体系，致力于为金融赋能新质生产力发展探索可行路径。立足上海、辐射长三角，据悉，中国农业银 行长三角创新发展协同会暨"123+"金融赋能科技创新专项活动将于11月25日在上海举办，集中展现农行 服务长三角一体化高质量发展，在科技金融领域的创新实践与协同成效，成为观察其澎湃发展动能的重 要"窗口"。 区域协同"凝心聚力"，共绘一体化发展新画卷 作为我国经济发展最活跃、开放程度最高、创新能力最强的区域之一，长三角以不到全国4%的土地面 积，创造了全国近四分之一的经济总量，区域集成电路、生物医药、人工智能产业规模分别占全国 3/5、1/3和1/3，"一体化"和"高质量"成为区域发展的关键引擎。 此前，农行出台《关于服务长三角区域一体化发展的工作意见》，明确"5+2"金融服务重点，包括强化 一体化客户服务能力、优化一体化产品服务创新、提升一体化风险防控能力、做实一体化组织资源保障 等四个一体化建设，全力做好长三角区域一 ...

Investment Rating - The report indicates a positive investment outlook for Chinese enterprises going global, with a projected increase in foreign direct investment (FDI) to 1.16 trillion RMB in 2024, reflecting an 11.30% year-on-year growth [8]. Core Insights - Chinese enterprises are actively exploring new pathways for international expansion, adapting strategies in response to geopolitical challenges and evolving market conditions [4][8]. - The ASEAN region has emerged as a key destination for Chinese investment, with its share of China's outbound investment rising from 6.34% in 2014 to 17.88% in 2024 [8]. - The structure of China's outbound investment is shifting, with significant increases in the wholesale, retail, and manufacturing sectors, indicating a deeper integration into global value chains [8][52]. Summary by Sections Part A: Challenges and Pathways for Chinese Enterprises Going Global - The Chinese government is committed to high-quality outbound investment, emphasizing the importance of maintaining a stable international economic environment despite rising geopolitical tensions [18][19]. - The share of China's exports in global trade is projected to reach 14.64% in 2024, maintaining its position as the world's largest exporter [19][23]. - Chinese enterprises are increasingly focusing on the ASEAN region for investment, with a notable rise in direct investment since the implementation of the RCEP [44][52]. Part B: Financial Support for Outbound Expansion - Chinese financial institutions are enhancing their overseas presence, with major banks establishing branches in numerous countries to support outbound enterprises [9]. - There is a strong emphasis on integrating domestic and international resources, with banks providing cross-border credit and financing solutions for projects under the Belt and Road Initiative [9][11]. - Innovative financial products and services are being developed to support overseas investments, including specialized loans for infrastructure projects and comprehensive solutions for cross-border e-commerce [9][11]. Part C: Future Outlook and Recommendations - Recommendations include optimizing overseas network construction, enhancing multi-tiered financial service systems, and expanding the use of cross-border RMB [12][13]. - A comprehensive risk management system is suggested to help enterprises navigate geopolitical uncertainties and market volatility [12][13]. - Strengthening collaboration between financial institutions and industries is crucial for supporting enterprises in their global expansion efforts [12][13].

Group 1 - The Federal Reserve's October FOMC meeting minutes reveal significant internal divisions regarding future interest rate cuts, with discussions covering inflation risks, labor market cooling, and economic growth uncertainties [2] - The Fed ultimately voted 10 to 2 to lower the federal funds rate by 25 basis points, bringing the target range to 3.75% to 4%, but the decision was reached after intense debate [2] - There is a notable split among Fed officials regarding the appropriateness of further rate cuts in December, with some advocating for cuts if economic conditions align with expectations, while many prefer to maintain current rates [2] Group 2 - Following the release of the minutes, market expectations shifted significantly, with the probability of a December rate cut dropping from nearly 50% to around 30%, while the likelihood of no change rose to nearly 70% [2] - The swap market adjusted the expected cut magnitude for December from 11 basis points to just 6 basis points [2] Group 3 - In the primary market, four companies issued bonds today, including a merger agreement between CICC and two other securities firms, which requires board and regulatory approvals [4] - China Great Wall Asset Management announced plans to dispose of its debt claims against Evergrande Group, totaling approximately 1.09 billion yuan, with a principal amount of about 959 million yuan [4] - Zhongjun Group is seeking court approval for a creditor meeting to discuss a restructuring plan, with a hearing scheduled for March 24, 2026 [4]

截至2025年11月21日 10:08，中证国有企业红利指数下跌0.58%。成分股建发股份领涨，中国银行、南 京银行跟涨；鲁西化工领跌，中文传媒、西部矿业跟跌。国企红利ETF(159515)下修调整。（以上所列 示股票为指数成份股，仅做示意不作为个股推荐。过往持仓情况不代表基金未来的投资方向，也不代表 具体的投资建议，投资方向、基金具体持仓可能发生变化。市场有风险，投资需谨慎。） 据Wind数据显示，流动性方面，截至11月20日，国企红利ETF近1周日均成交293.72万元。 消息面上，近日，金融监管总局发布的银行业保险业最新监管指标数据显示，截至今年三季度末，我国 银行业金融机构本外币资产总额达474.3万亿元，同比增长7.9%，商业银行净息差为1.42%，环比持平， 其中股份制商业银行净息差环比提升0.01个百分点。三季度监管数据显示，银行业净息差企稳，盈利能 力呈现积极信号，同时资产质量稳定，这都证明了行业的强劲韧性。 (以上所列示股票为指数成份股，仅做示意不作为个股推荐。过往持仓情况不代表基金未来的投资方 向，也不代表具体的投资建议，投资方向、基金具体持仓可能发生变化。市场有风险，投资需谨慎。) 国企 ...

Core Viewpoint - The article emphasizes the critical role of financial support from Agricultural Bank in promoting rural revitalization and preventing large-scale poverty reoccurrence in China, particularly in poverty-stricken areas [1][7]. Financial Support and Impact - Agricultural Bank has provided significant financial assistance, with a loan balance of 5.17 trillion yuan in rural industries in poverty-stricken areas by the end of September 2025, supporting various agricultural projects [1]. - The bank's loans in 832 poverty-stricken counties reached 2.52 trillion yuan, reflecting a 10.66% increase from the beginning of the year, demonstrating its commitment to rural revitalization [4]. Case Studies of Successful Support - In Guizhou, Agricultural Bank's support helped a tea company increase its annual export volume to 1,500 tons, with 80% of sales going to Morocco, showcasing the bank's role in enhancing local agricultural exports [2][3]. - The bank's "Industrial Silver Insurance" policy provided 4.6 million yuan in credit to a struggling tea company, which helped resolve its financial crisis and enabled it to support local farmers [2][3]. - In Sichuan's Liangshan Prefecture, Agricultural Bank facilitated a transition from low-value crops to grape cultivation by providing 200,000 yuan in funding and technical support, transforming the local economy [4]. Innovation in Financial Services - Agricultural Bank introduced innovative financial products like "Scenic Area Operation Loans," which helped finance infrastructure improvements in the Xijiang Qianhu Miao Village, leading to a revitalization of the local tourism industry [6]. - The bank's focus on enhancing its workforce's understanding of agriculture and rural needs has strengthened its service capabilities in supporting rural development [3]. Overall Contribution to Rural Revitalization - Agricultural Bank's efforts are part of a broader strategy to ensure the effective connection between consolidating poverty alleviation achievements and advancing rural revitalization, particularly in key areas identified for support [7].

Core Insights - The article highlights the significant role of private enterprises in China's economic development, emphasizing their contribution to job creation, market prosperity, and improved living standards [1][2][3] - It discusses the financial support provided by banks to private enterprises, showcasing the growth in loans and the establishment of specialized financial services to meet the unique needs of these businesses [2][6] Group 1: Financial Support for Private Enterprises - As of September 2025, the balance of inclusive micro and small loans reached 36.1 trillion yuan, a year-on-year increase of 12.2%, while loans to the private economy totaled 71.1 trillion yuan, growing by 5.4% [1] - Major state-owned banks have significantly increased their lending to private enterprises, with Agricultural Bank of China reporting a loan balance of 7.51 trillion yuan, an increase of 973.6 billion yuan, reflecting a growth rate of 14.9% [2] - The banking sector is actively customizing financial products to address the diverse needs of private small and micro enterprises, moving away from traditional lending models [3][6] Group 2: Innovative Financial Solutions - Agricultural Bank of China has developed a "five-special" mechanism to enhance its service to private enterprises, optimizing the policy environment for their support [2] - Zhejiang Agricultural Bank utilized a "government-bank-guarantee" model to facilitate a 10 million yuan loan for a biotechnology company, aiding in prototype testing and platform development [4] - Zhejiang Merchants Bank has implemented a financial advisor system and "Zhejiang Silver Good Standard" to improve the quality and efficiency of services for private enterprises [5] Group 3: Addressing Financing Challenges - Despite improvements, challenges remain in financing for private enterprises, with issues such as high costs and mismatched repayment terms still prevalent [3][6] - The State Council has issued measures to promote private investment, emphasizing the need for banks to set annual service goals for private enterprises and to implement a system of due diligence exemption [6][7] - Financial management departments are encouraged to relax certain requirements for small and micro enterprises to facilitate better lending practices [8]