Core Viewpoint - The banking sector experienced a rebound on December 18, with all stocks in the sector showing positive performance, indicating a potential recovery trend in the market [1]. Group 1: Stock Performance - Shanghai Bank saw an increase of 2.75%, reaching a price of 10.08 with a rise of 0.27 [2]. - Suzhou Bank rose by 2.60%, with a current price of 8.28, up by 0.21 [2]. - Xiamen Bank increased by 2.53%, now priced at 7.70, up by 0.19 [2]. - Hangzhou Bank experienced a 2.30% rise, reaching 15.58, up by 0.35 [2]. - Construction Bank's stock rose by 2.13%, with a current price of 9.12, up by 0.19 [2]. - Other notable banks such as Nanjing Bank and Jiangyin Bank also showed positive growth, with increases of 2.03% and 2.18% respectively [2]. Group 2: Additional Bank Performance - Jiangsu Bank increased by 1.94%, now priced at 10.53, up by 0.20 [2]. - Changsha Bank rose by 1.78%, reaching a price of 9.73, up by 0.17 [2]. - Chongqing Bank saw a 1.73% increase, with a current price of 11.15, up by 0.19 [2]. - Shanghai Pudong Development Bank increased by 1.65%, now priced at 11.73, up by 0.19 [2]. - Ningbo Bank rose by 1.61%, reaching a price of 28.47, up by 0.45 [2]. Group 3: Further Bank Increases - Qilu Bank increased by 1.60%, now priced at 5.70, up by 0.09 [2]. - Changshu Bank saw a rise of 1.55%, reaching a price of 7.22, up by 0.11 [2]. - Qingdao Bank increased by 1.76%, now priced at 4.63, up by 0.08 [2]. - Zhangjiagang Bank rose by 1.75%, reaching a price of 4.65, up by 0.08 [2]. - Other banks such as Hu'nong Commercial Bank and Su'nong Bank also showed positive performance, with increases of 1.41% and 1.38% respectively [3].

Core Viewpoint - The A-share market has seen a broad increase in bank stocks, indicating positive market sentiment towards the banking sector [1] Group 1: Stock Performance - Suzhou Bank, Xiamen Bank, Shanghai Bank, Hangzhou Bank, Jiangyin Bank, China Construction Bank, and Chongqing Rural Commercial Bank all experienced gains exceeding 2% [1] - Zhangjiagang Bank, Nanjing Bank, Jiangsu Bank, Qilu Bank, Changsha Bank, Qingdao Bank, and Chongqing Bank saw increases close to 2% [1]

以上内容为证券之星据公开信息整理，由AI算法生成（网信算备310104345710301240019号），不构成投资建议。 从资金流向上来看，当日城商行板块主力资金净流入9622.45万元，游资资金净流出9022.58万元，散户 资金净流出599.88万元。城商行板块个股资金流向见下表： 证券之星消息，12月17日城商行板块较上一交易日下跌0.22%，厦门银行领跌。当日上证指数报收于 3870.28，上涨1.19%。深证成指报收于13224.51，上涨2.4%。城商行板块个股涨跌见下表： ...

运营商财经网讯 作为财经领域知名媒体平台，长期以来运营商财经网致力于坚持打造独家新闻观点，扩大行业影响力。 近期，运营商财经网又正式推出了"2025年度城商行十大杰出董事长"榜单。聚焦2025年国内各大城商行 综合表现，关注多家头部企业重点人物，综合多重因素推出独家榜单。 | 银行机构 | 董事长 | 序号 | | --- | --- | --- | | 江苏银行 | 葛仁余 | 1 | | 2 | 上海银行 | 顾建忠 | | 谢宁 | 3 | 南京银行 | | 中原银行 | 郭浩 | 4 | | 5 | 长沙银行 | 赵小中 | | 6 | 重庆银行 | 杨秀明 | | 7 No | 天津银行 | 于建忠 | | 8 | 郑祖刚 | 齐鲁银行 | | 9 | 广东华兴银行 | 周泽荣 | | 10 | 厦门银行 | 洪枇杷 | | 、利润等业绩、个人知名度等, | 运营商财经网编辑整理 | | | 有校角 有清酒-Telwor | 不意容服招 | | | 生流财经媒体 有说虚有? | | | 长期以来，城商行在国内金融体系中扮演着至关重要的角色，是支持地方经济发展的重要力量。据了 解，在此次榜单的评选过程 ...

Quantitative Factors and Construction Methods - **Factor Name**: Large Order Transaction Amount Ratio **Construction Idea**: This factor captures the buying behavior of large funds by analyzing the proportion of large order transaction amounts relative to the total daily transaction amount[7] **Construction Process**: 1. Use tick-by-tick transaction data to identify buy and sell orders based on the sequence numbers of bids and asks 2. Filter transactions by order size to identify large orders 3. Calculate the proportion of large buy order transaction amounts to the total daily transaction amount **Formula**: $ \text{Large Order Transaction Amount Ratio} = \frac{\text{Large Buy Order Transaction Amount}}{\text{Total Daily Transaction Amount}} $ **Evaluation**: This factor effectively reflects the buying behavior of large funds and provides insights into market dynamics[7] - **Factor Name**: Net Active Buy Amount Ratio **Construction Idea**: This factor measures the active buying behavior of investors by analyzing the net active buy amount as a proportion of the total daily transaction amount[7] **Construction Process**: 1. Use tick-by-tick transaction data to classify each transaction as either active buy or active sell based on the buy/sell indicator 2. Calculate the net active buy amount by subtracting the active sell amount from the active buy amount 3. Compute the proportion of the net active buy amount to the total daily transaction amount **Formula**: $ \text{Net Active Buy Amount Ratio} = \frac{\text{Active Buy Amount} - \text{Active Sell Amount}}{\text{Total Daily Transaction Amount}} $ **Evaluation**: This factor provides a clear representation of investors' active buying behavior and is useful for tracking market sentiment[7] --- Factor Backtesting Results - **Large Order Transaction Amount Ratio**: - Top 5 stocks with the highest 5-day average values: 1. *Zaisen Technology (603601.SH)*: 91.4%, time-series percentile: 99.6%[9] 2. *Annie Shares (002235.SZ)*: 91.2%, time-series percentile: 98.4%[9] 3. *Kangxin New Materials (600076.SH)*: 87.9%, time-series percentile: 99.6%[9] 4. *Guangtian Group (002482.SZ)*: 87.6%, time-series percentile: 100.0%[9] 5. *Zhongtai Chemical (002092.SZ)*: 87.5%, time-series percentile: 100.0%[9] - **Net Active Buy Amount Ratio**: - Top 5 stocks with the highest 5-day average values: 1. *Hot Scene Biology (688068.SH)*: 15.9%, time-series percentile: 100.0%[10] 2. *Lanxiao Technology (300487.SZ)*: 14.5%, time-series percentile: 100.0%[10] 3. *Yilian Technology (301631.SZ)*: 14.0%, time-series percentile: 100.0%[10] 4. *Xiamen Bank (601187.SH)*: 14.0%, time-series percentile: 99.2%[10] 5. *Huamao Technology (603306.SH)*: 13.1%, time-series percentile: 99.6%[10] --- Additional Factor Testing Results - **Large Order Transaction Amount Ratio for Broad-Based Indices**: - *Shanghai Composite Index*: 5-day average: 73.0%, percentile: 59.0%[12] - *CSI 300*: 5-day average: 72.0%, percentile: 33.6%[12] - *ChiNext Index*: 5-day average: 71.4%, percentile: 14.8%[12] - **Net Active Buy Amount Ratio for Broad-Based Indices**: - *Shanghai Composite Index*: 5-day average: 0.8%, percentile: 7.8%[12] - *CSI 300*: 5-day average: 2.6%, percentile: 4.9%[12] - *ChiNext Index*: 5-day average: 3.5%, percentile: 2.5%[12] - **Large Order Transaction Amount Ratio for Industries**: - *Non-Bank Financials*: 5-day average: 78.5%, percentile: 95.9%[13] - *Steel*: 5-day average: 78.2%, percentile: 43.9%[13] - *Electric Power and Utilities*: 5-day average: 77.6%, percentile: 13.9%[13] - **Net Active Buy Amount Ratio for Industries**: - *Non-Bank Financials*: 5-day average: 6.3%, percentile: 0.8%[13] - *Electric Power and Utilities*: 5-day average: 1.8%, percentile: 1.6%[13] - *Steel*: 5-day average: 1.4%, percentile: 9.4%[13] - **Large Order Transaction Amount Ratio for ETFs**: - Top ETF: *Guotai Zhongzheng A500 ETF (159338.SZ)*: 91.5%, percentile: 20.1%[15] - **Net Active Buy Amount Ratio for ETFs**: - Top ETF: *Guotai SSE 10-Year Treasury Bond ETF (511260.SH)*: 25.9%, percentile: 87.7%[16]

如何看待银行的分红？博通咨询金融业资深分析师王蓬博在接受记者采访时认为，上市银行此举对内可 优化资本结构，对外则增强投资者黏性，尤其吸引险资、社保等长期资金配置。从市场表现看，近期宣 布分红的银行股普遍获得估值修复，股息率优势成为支撑股价的重要锚点。 具体来看,工商银行以503.96亿元位居本次分红榜首，建设银行（601939）、农业银行、中国银行 （601988）、邮储银行（601658）、交通银行紧随其后，分红分别为486.05亿元、418.23亿元、352.50 亿元、147.71亿元、138.11亿元。在本次中期分红中，六大国有银行的分红比例均保持在归母净利润的 30%或以上。 今年以来，银行板块以及个股在A股市场上表现抢眼。统计数据显示，截至12月15日收盘，A股银行板 块今年累计上涨10.71%，板块整体呈现结构性上涨特征，其中，农业银行股价今年以来累计涨幅 48.88%，厦门银行（601187）累计涨幅39.85%。 【深圳商报讯】（首席记者 谢惠茜）12月以来，A股上市银行正陆续带来一场"红包雨"——六大国有银 行先后发布A股分红派息实施公告，中期现金分红总额高达2046.57亿元。另据统计数 ...

Group 1 - The core viewpoint of the news is that the State-owned Enterprise Dividend Index has shown positive performance, with significant increases in specific constituent stocks, indicating a favorable environment for dividend-paying stocks [1][2]. - As of December 15, 2025, the State-owned Enterprise Dividend Index rose by 0.56%, with notable stock performances including COFCO Sugar rising by 9.99% and Shanxi Coal International by 4.00% [1]. - The State-owned Enterprise Dividend ETF (159515) also experienced an increase of 0.53%, reflecting strong investor interest in dividend-paying assets [1][2]. Group 2 - The liquidity of the State-owned Enterprise Dividend ETF has improved, with an average daily transaction volume of 2.7164 million yuan over the past month and a weekly scale growth of 2.3717 million yuan [1]. - The ETF's share count increased by 3 million shares in the past week, indicating a significant uptick in investor participation [1]. - The State-owned Enterprise Dividend Index is designed to reflect the performance of 100 listed companies with high cash dividend yields and stable dividend policies, which are selected from state-owned enterprises [2]. Group 3 - The report highlights that dividend assets are attractive in a low-interest-rate environment, appealing to risk-averse investors seeking stable returns [2]. - The manufacturing PMI showed a slight recovery to 49.2% in November, indicating improvements in both production and demand, which supports the overall economic stability [2]. - The top ten weighted stocks in the State-owned Enterprise Dividend Index account for 16.99% of the index, with companies like COSCO Shipping and Jizhong Energy among the leaders [2][4].

Investment Rating - The report indicates a positive outlook for the insurance sector, recommending specific companies such as China Pacific Insurance, China Ping An, China Life (H), and China Taiping, while also recommending New China Life Insurance [4][17]. Core Insights - The financial industry experienced a mixed performance, with the non-bank financial index rising by 0.81%, outperforming the CSI 300 index by 0.89 percentage points. The insurance sector showed a notable increase of 2.36%, while the banking sector declined by 1.77% [2][11]. - The central economic work conference emphasized a proactive fiscal policy, which is expected to benefit the insurance sector by increasing infrastructure asset supply and improving credit risk perceptions [14][15]. - The report highlights the potential for valuation recovery in the brokerage sector, driven by regulatory changes that align public fund interests with long-term investor returns [18][19]. Summary by Sections 1. Weekly Performance and Sector Insights - The non-bank financial index rose by 0.81%, with the insurance sector outperforming the CSI 300 index by 2.44 percentage points [2][11]. - The banking sector underperformed, with a decline of 1.77%, attributed to macroeconomic policy expectations [3][21]. 2. Insurance Sector Data Tracking - The insurance sector's premium income showed steady growth, with life insurance and property insurance premiums increasing by 9.6% and 4.0% year-on-year, respectively [17][26]. - The report notes that the 10-year government bond yield decreased to 1.84%, which is favorable for the insurance sector's investment strategies [31]. 3. Brokerage Sector Data Tracking - The brokerage sector's PB valuation stands at 1.37x, indicating potential for valuation recovery as earnings improve [19][42]. - Regulatory changes in public fund sales are expected to enhance the industry's focus on long-term investor interests [18][19]. 4. Banking Sector Data Tracking - The banking sector's PB valuation is at 0.54x, suggesting it remains undervalued [21][25]. - The central economic work conference's focus on domestic demand and flexible monetary policy is expected to support the banking sector's growth [22][23].

厦门银行12月12日大宗交易平台出现一笔成交，成交量42.73万股，成交金额323.04万元，大宗交易成交 价为7.56元。该笔交易的买方营业部为机构专用，卖方营业部为瑞银证券有限责任公司上海花园石桥路 证券营业部。 证券时报·数据宝统计显示，厦门银行今日收盘价为7.56元，下跌0.26%，日换手率为1.36%，成交额为 2.70亿元，全天主力资金净流入560.92万元，近5日该股累计上涨4.71%，近5日资金合计净流出2028.09 万元。 据天眼查APP显示，厦门银行股份有限公司成立于1996年11月26日，注册资本263912.7888万人民币。 12月12日厦门银行大宗交易一览 成交量(万股) 成交金额(万元) 成交价格(元) 相对当日收盘折溢价 (%) 买方营业部卖方营业部 42.73 323.04 7.56 0.00 机构专用 瑞银证券有限责任公司上海花园石桥路证券营业部 注：本文系新闻报道，不构成投资建议，股市有风险，投资需谨慎。 ...

据天眼查APP显示，厦门银行股份有限公司成立于1996年11月26日，注册资本263912.7888万人民币。 （数据宝） （原标题：厦门银行大宗交易成交323.04万元，买方为机构专用席位） 厦门银行12月12日大宗交易平台出现一笔成交，成交量42.73万股，成交金额323.04万元，大宗交易成交 价为7.56元。该笔交易的买方营业部为机构专用，卖方营业部为瑞银证券有限责任公司上海花园石桥路 证券营业部。 证券时报•数据宝统计显示，厦门银行今日收盘价为7.56元，下跌0.26%，日换手率为1.36%，成交额为 2.70亿元，全天主力资金净流入560.92万元，近5日该股累计上涨4.71%，近5日资金合计净流出2028.09 万元。 12月12日厦门银行大宗交易一览 | 成交量 | 成交金 额 | 成交价 | 相对当日 收盘折溢 | 买方营业 | | | --- | --- | --- | --- | --- | --- | | （万 | | 格 | | | 卖方营业部 | | 股） | （万 | （元） | 价 | 部 | | | | 元） | | （%） | | | | 42.73 | 323.04 | ...