记者丨郭聪聪 编辑丨杨希 11月22日，由南方财经全媒体集团・21世纪经济报道主办的"第二十届21世纪金融年会"盛大召开，会上，21世纪金融研究院发布了《2025中国 银行业竞争力研究报告》，备受瞩目的中国银行业竞争力100强榜单正式揭晓。 值得关注的是，本次榜单首次将中资银行与外资银行分开排序，研究对象涵盖国有大行、全国性股份制商业银行、城商行、农商行、民营银行 及外资行六大类机构，进一步提升了排名的严谨性与专业性。 中国银行业竞争力100强排行榜(2025) 作为中国金融体系的核心支柱，银行业在经济结构调整、金融科技革新与监管政策完善的多重背景下，竞争格局持续演变，本次榜单以科学评 估体系全面呈现行业发展态势，为行业转型与创新提供重要参考。 本次竞争力100强排行以商业银行2024年年报数据（来源于企业预警通）为核心依据，构建规模、盈利、成长、稳健四大核心指标体系，形成 多维度榜单矩阵。除综合竞争力100强主榜单外，同步发布"规模100强""盈利100强""成长性100强" 三个子榜单，分别聚焦总资产与总负债、营 业收入与 ROA、业务扩张与运营效率等关键维度，实现对银行综合实力的立体评估。 | 班名 | ...

格隆汇11月23日｜据证券市场周刊，《上市公司监管指引第10号——市值管理》实施一周年之际，A股 银行板块迎来估值重塑的关键节点。监管新规对长期破净公司提出明确的市值管理要求，推动上市银行 普遍制定并披露估值提升计划。一年来，银行业整体市净率从0.61倍提升至0.67倍，市值增长超3.7万亿 元。其中农业银行以78.08%的股价涨幅和1.09倍的市净率位居榜首，成为市值管理的标杆案例。在总市 值变化上，相较一年前，A股上市银行总市值也提升了3.725万亿元，其中农业银行新增市值达11934.42 亿元，贡献了银行板块新增市值的30%以上。 ...

作为我国生态文明建设的缩影，近年来，中国的大熊猫保护交出了一份颇为亮眼的"成绩单"——大熊猫受威胁等级从"濒危"降为"易危"，大熊猫栖息地得到 大尺度、系统性优化，大熊猫圈养种群达808只，基本实现种群可持续发展，来之不易的成果背后离不开多方力量的共同托举。 晚会现场，中国大熊猫保护研究中心的饲养员谭成彬、程景分享了守护大熊猫母女"瑞瑞"与"恩恩"的点点滴滴——从精神面貌体态到日常活动频率，从精准 营养配餐到定时定量投喂，一次次细致入微的观察记录无一不彰显了大熊猫保护工作的精度与温度。 "每一只大熊猫从出生到健康成长的过程，需要保护中心整个团队的不懈努力，也离不开蒙牛瑞哺恩等社会力量的支持，让我们能在熊猫繁育研究上投入更 多精力和资源，守护国宝的健康成长。"谭成彬说道。 转自：新华财经 当憨态可掬的"国宝"化身文化使者，当地域特色的IP牵引文旅消费，当守护生态的承诺融入品牌责任，11月21日晚，2025熊猫嘉年华晚会在成都拉开帷幕。 作为2025全球熊猫伙伴大会的首创环节，晚会以"共护熊猫家园、共建美丽世界、共享开放机遇"为主题，打造出一场融合科技与艺术、生态与人文的视听盛 宴，全方位、立体化呈现了大熊猫在文 ...

格隆汇11月22日｜11月20日，中国农业银行党委书记、董事长谷澍在山西太原拜会山西省委书记唐登 杰、省长卢东亮，就全方位深化金融合作，更好发挥金融服务山西转型发展作用等进行深入交流。20日 下午，谷澍与卢东亮举行工作会谈。谷澍表示，农业银行将加大对能源转型、产业升级等重点领域的金 融支持，强化综合金融服务。发挥农业银行在"三农"普惠领域的独特优势，助力山西特优农业发展和乡 村全面振兴。卢东亮表示，希望双方加强"十五五"谋划衔接，聚焦重点领域深化政银合作，打造央地合 作新典范，为山西高质量发展和现代化建设提供更加有力的金融服务支撑。 ...

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- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot spots. The model is based on momentum and trend-following strategies, emphasizing stocks that consistently hit new highs. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{Close_{t}}{ts\_max(Close, 250)} $ where $ Close_{t} $ represents the latest closing price, and $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days. If the latest closing price reaches a new high, the distance equals 0; otherwise, it is a positive value indicating the degree of fallback [11][12][13] - The report evaluates the model positively, citing its ability to capture market leaders and trends effectively. It references studies by George (2004), William O'Neil, and Mark Minervini, which highlight the importance of tracking stocks near their 52-week highs for superior returns [11][18] - The report provides backtesting results for the "250-day new high distance" model across major indices as of November 21, 2025. The distances are: - 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] - The report introduces a factor named "Stable New High Stocks" to identify stocks with smooth price paths and sustained momentum. The factor construction involves: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative strength: Top 20% in 250-day price change - Price stability: Ranking top 50% based on metrics like price displacement ratio and smoothness of 250-day new high distance over the past 120 days - Trend continuation: Ranking top 50 stocks based on the average 250-day new high distance over the past five days [24][27][28] - The report evaluates the "Stable New High Stocks" factor positively, citing research by Turan G Bali et al. (2011) and Da et al. (2012), which demonstrate the superior returns of stocks with smooth momentum paths compared to those with jumpy price movements [24][27] - Backtesting results for the "Stable New High Stocks" factor show 15 selected stocks, including Heertai, Sray New Materials, and Zangge Mining. These stocks are distributed across manufacturing and cyclical sectors, with manufacturing focusing on construction and cyclical sectors on non-ferrous metals [28][31][33]

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]

当银行邀请你参加活动领取支付立减金的时候，当心点，这可能是一个"甜蜜的陷阱"。 近期，有小红书用户反馈，自己打开银行app时弹出了一个"动账通知升级"的活动邀请，只需要关闭短信动账通知，打开手机银行动账提醒，在次月就可 以领取5元-15元的立减金。她按照银行的要求参加活动后，才发现上当了——本来终身免费的动账短信，现在再想重新开通，每个月要收费3元。 直到"银行免费短信正在消失"冲上了微博热搜，许多用户才发现，银行们正在纷纷对原本免费的动账短信通知"动手"。 一种是提升触发动账短信通知的金额门槛。比如今年4月中国银行调整用户账户变动触发免费短信通知的默认金额，起点金额从原来的0元上调为100元。 10月份，湖南农信将个人客户免费短信服务的通知起点金额从200元上调至500元。 还有的银行是干脆直接取消了免费政策，贵州农信则从今年10月起对个人新签约账户开始收取短信服务费。民生银行也终止对大于300元的动账短信提醒 优惠，动账短信提醒每个月收取2元费用。 01 不止短信，更多银行免费服务正在"退场" 曾经银行标配的免费动账短信通知集体退场，只是银行批量撤回"免费午餐"的冰山一角。2025年以来，多家银行密集调整 ...