智通财经APP获悉，香港联交所最新资料显示，12月1日，小摩增持重庆农村商业银行(03618)95.7058万 股，每股作价6.4427港元，总金额约为616.6万港元。增持后最新持股数目约为1.76亿股，最新持股比例 为7.01%。 （原标题：小摩增持重庆农村商业银行(03618)约95.71万股 每股作价约6.44港元） ...

Group 1 - The core viewpoint of the report emphasizes the importance of balancing positions, indicators, and costs in treasury liability strategies, focusing on liquidity management and cost optimization [2][14][16] - Current treasury strategies are characterized by a focus on long-term funding, short-term deposits, cost control, and improving liquidity indicators, with banks experiencing reduced cost pressures and increased expected liquidity gaps [3][4][6] - The report identifies that the expected liquidity gap is exacerbated by factors such as the non-bankization of deposits and the concentration of high-interest deposits maturing, estimating that 17 trillion yuan of high-interest deposits will mature in the second half of 2025, and 26 trillion yuan in the first half of 2026 [3][4][19] Group 2 - The liquidity risk indicators are under pressure, with some joint-stock banks experiencing a rapid decline in their Net Stable Funding Ratio (NSFR), indicating a reliance on the liability side for liquidity adjustments [4][5][22] - The report suggests that the pricing of negotiable certificates of deposit (NCDs) may increasingly reflect internal management demands, with banks focusing on managing liquidity gaps and improving liquidity indicators through NCD issuance [5][6][20] - Investment recommendations include positioning in large state-owned banks, core holdings in leading comprehensive banks, and flexible allocations in regional banks, with specific banks identified as beneficiaries [6][14][19]

北京商报讯（记者 孟凡霞 周义力）12月3日，重庆农商行发布公告称，为深化国有资本授权经营体制改 革，增强国企战略协同、业务协同，促进国企高质量发展，重庆市国有资产监督管理委员会（以下简 称"重庆市国资委"）将所持该行股东重庆市农业投资集团有限公司（以下简称"农投集团"）40%股权无 偿划转至该行主要股东重庆渝富资本运营集团有限公司（以下简称"渝富资本"）的控股股东重庆渝富控 股集团有限公司（以下简称"渝富控股"），划转完成后，农投集团将成为渝富控股子公司，并成为渝富 资本一致行动人。近日，重庆农商行收到渝富资本通知，上述农投集团股权无偿划转涉及的市场监督管 理局备案手续已办理完成。 ...

Core Points - Chongqing State-owned Assets Supervision and Administration Commission has transferred 40% equity of Chongqing Agricultural Investment Group to Chongqing Yufu Capital's controlling shareholder, Chongqing Yufu Holdings Group [1][3] - After the transfer, Chongqing Agricultural Investment Group will become a subsidiary of Yufu Holdings and a concerted actor of Yufu Capital [1][3] - The necessary filing procedures with the market supervision administration for the equity transfer have been completed [1][3]

Chongqing Rural Commercial Bank Co., Ltd. * * : 3618 香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其 準確性或完整性亦不發表任何聲明，並明確表示，概不對因本公告全部或任何部分內容 而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 中國 • 重慶，2025年12月3日 於本公告日期，本行執行董事為隋軍先生；本行非執行董事為胡淳女士、殷祥林先生及 彭玉龍先生；及本行獨立非執行董事為張橋雲先生、李明豪先生、李嘉明先生及畢茜女 士。 * 本行經中國銀行業監督管理機構批准持有B0335H250000001號金融許可證，並經重慶市市 場監督管理局核准領取統一社會信用代碼為91500000676129728J的企業法人營業執照。 本行根據香港銀行業條例（香港法例第155章）並非一家認可機構，不受香港金融管理局監 管，及不獲授權在香港經營銀行╱接受存款業務。 海外監管公告 本公告乃重慶農村商業銀行股份有限公司Chongqing Rural Commercial Bank Co., Ltd.* （「本行」）根據香港聯合交易所有限公司證券上市規 ...

证券代码：601077 证券简称：渝农商行 公告编号：2025-043 重庆农村商业银行股份有限公司 关于股东权益变动事项的进展公告 本行董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或 者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 2025 年 12 月 3 日 重庆农村商业银行股份有限公司（以下简称"本行"）于 2025 年 6 月 4 日在 上海证券交易所网站（www.sse.com.cn）披露了《关于股东权益变动的提示性公 告》（公告编号：2025-026）。为深化国有资本授权经营体制改革，增强国企战略 协同、业务协同，促进国企高质量发展，重庆市国有资产监督管理委员会（以下 简称"重庆市国资委"）将所持本行股东重庆市农业投资集团有限公司（以下简 称"农投集团"）40%股权无偿划转至本行主要股东重庆渝富资本运营集团有限公 司（以下简称"渝富资本"）的控股股东重庆渝富控股集团有限公司（以下简称 "渝富控股"），划转完成后，农投集团将成为渝富控股子公司，并成为渝富资本 一致行动人，具体变动情况详见前述提示性公告。 近日，本行收到渝富资本通知，上述农投集团股权无偿划转涉及的市场监 ...

Core Viewpoint - The rural commercial bank sector experienced a 0.75% increase on December 2, with Yunnan Rural Commercial Bank leading the gains, while the Shanghai Composite Index and Shenzhen Component Index saw declines of 0.42% and 0.68%, respectively [1] Group 1: Market Performance - The closing price of Yunnan Rural Commercial Bank was 6.72, up by 1.20%, with a trading volume of 538,400 shares and a transaction value of 361 million [1] - Other banks in the sector, such as Shanghai Rural Commercial Bank and Wuxi Bank, also reported gains of 1.06% and 0.65%, respectively [1] - The overall trading volume and transaction values for various banks indicate active market participation, with Zhangjiagang Bank and Suzhou Rural Bank also showing positive performance [1] Group 2: Fund Flow Analysis - The rural commercial bank sector saw a net outflow of 83.05 million from institutional investors and 32.37 million from speculative funds, while retail investors contributed a net inflow of 115 million [1] - Yunnan Rural Commercial Bank had a net inflow of 13.21 million from institutional investors, despite a net outflow of 21.98 million from speculative funds [2] - The fund flow data indicates varying levels of investor confidence, with some banks like Zhangjiagang Bank experiencing significant net outflows from institutional and speculative investors, while retail investors showed strong interest [2]

Quantitative Models and Construction Methods 1. **Model Name: Expected High Dividend Portfolio** - **Model Construction Idea**: The model is constructed using a two-stage process to create an expected dividend yield indicator. The first stage calculates the dividend yield based on annual report profit distribution, and the second stage predicts and calculates the dividend yield using historical dividends and fundamental indicators. Additionally, two short-term factors affecting dividend yield—reversal factor and profitability factor—are used to assist in screening. The model selects stocks from the CSI 300 constituents to construct the expected high dividend portfolio, which holds 30 stocks and rebalances monthly[3][8]. - **Model Construction Process**: 1. Exclude suspended and limit-up stocks from the CSI 300 constituents to form the candidate stock pool[9]. 2. Exclude the top 20% of stocks with the highest short-term momentum (21-day cumulative increase)[13]. 3. Exclude stocks with declining profitability (quarterly net profit growth rate less than 0)[13]. 4. Rank the remaining stocks in the pool by expected dividend yield and select the top 30 stocks to construct the portfolio with equal weight[9]. - **Model Evaluation**: The model's historical performance is impressive, with a cumulative return of 358.90% and a cumulative excess return of 107.44% relative to the CSI 300 Total Return Index. The annualized excess return is 8.87%, with a maximum rolling one-year drawdown of only 12.26% and a monthly excess win rate of 60.19%[11]. Model Backtest Results 1. **Expected High Dividend Portfolio** - **Average Return (November 2025)**: 0.70%[14] - **Excess Return Relative to CSI 300 Index**: 3.08%[14] - **Excess Return Relative to CSI Dividend Index**: 2.31%[14] - **Cumulative Return (2009-2017)**: 358.90%[11] - **Cumulative Excess Return (2009-2017)**: 107.44%[11] - **Annualized Excess Return (2009-2017)**: 8.87%[11] - **Maximum Rolling One-Year Drawdown**: 12.26%[11] - **Monthly Excess Win Rate**: 60.19%[11] Quantitative Factors and Construction Methods 1. **Factor Name: Expected Dividend Yield Factor** - **Factor Construction Idea**: The factor is constructed using a two-stage process. The first stage calculates the dividend yield based on annual report profit distribution, and the second stage predicts and calculates the dividend yield using historical dividends and fundamental indicators. Two short-term factors—reversal factor and profitability factor—are used to assist in screening[3][8]. - **Factor Construction Process**: 1. Calculate the dividend yield based on annual report profit distribution[8]. 2. Predict and calculate the dividend yield using historical dividends and fundamental indicators[8]. 3. Use the reversal factor and profitability factor to assist in screening[8]. - **Factor Evaluation**: The factor effectively identifies high dividend yield stocks, contributing to the construction of a high-performing portfolio[3][8]. Factor Backtest Results 1. **Expected Dividend Yield Factor** - **Average Return (November 2025)**: 0.70%[14] - **Excess Return Relative to CSI 300 Index**: 3.08%[14] - **Excess Return Relative to CSI Dividend Index**: 2.31%[14] - **Cumulative Return (2009-2017)**: 358.90%[11] - **Cumulative Excess Return (2009-2017)**: 107.44%[11] - **Annualized Excess Return (2009-2017)**: 8.87%[11] - **Maximum Rolling One-Year Drawdown**: 12.26%[11] - **Monthly Excess Win Rate**: 60.19%[11]

FF301 股份發行人及根據《上市規則》第十九B章上市的香港預託證券發行人的證券變動月報表 截至月份: 2025年11月30日 狀態: 新提交 致：香港交易及結算所有限公司 公司名稱: 重慶農村商業銀行股份有限公司 呈交日期: 2025年12月1日 I. 法定/註冊股本變動 | 1. 股份分類 | 普通股 | 股份類別 | H | | | 於香港聯交所上市 (註1) | | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 03618 | 說明 | | | | | | | | | | | 法定/註冊股份數目 | | | 面值 | | | 法定/註冊股本 | | | 上月底結存 | | | 2,513,336,041 | RMB | | | 1 RMB | | 2,513,336,041 | | 增加 / 減少 (-) | | | | | | | RMB | | | | 本月底結存 | | | 2,513,336,041 | RMB | | | 1 RMB | | 2,513,336,041 | ...

Market Performance - The rural commercial bank sector increased by 1.44% on December 1, with Zhangjiagang Bank leading the gains [1] - The Shanghai Composite Index closed at 3914.01, up 0.65%, while the Shenzhen Component Index closed at 13146.72, up 1.25% [1] Individual Stock Performance - Zhangjiagang Bank (002839) closed at 4.74, up 4.41% with a trading volume of 1.1194 million shares and a transaction value of 5.31 billion [1] - Qingnong Commercial Bank (002958) closed at 3.21, up 2.23% with a trading volume of 850,300 shares and a transaction value of 270 million [1] - Yunnan Agricultural Bank (601077) closed at 6.64, up 2.15% with a trading volume of 639,200 shares and a transaction value of 422 million [1] - Jiangyin Bank (002807) closed at 4.92, up 2.07% with a trading volume of 543,000 shares and a transaction value of 266 million [1] - Other notable performances include Yuanxi Bank (600908) at 6.17 (+1.98%), Sunong Bank (603323) at 5.30 (+1.92%), and Ruifeng Bank (601528) at 5.61 (+1.63%) [1] Fund Flow Analysis - The rural commercial bank sector experienced a net outflow of 83.7827 million from institutional investors, while retail investors saw a net inflow of 1.7564 million [1] - Notable net inflows from speculative funds amounted to 82.0263 million [1] Detailed Fund Flow for Individual Stocks - Yunnan Agricultural Bank (601077) had a net inflow of 24.4028 million from institutional investors, while retail investors had a net outflow of 36.2857 million [2] - Jiangyin Bank (002807) saw a net inflow of 17.2582 million from institutional investors, with retail investors experiencing a net outflow of 4.7439 million [2] - Other banks like Zijin Bank (601860) and Ruifeng Bank (601528) also showed varied fund flows, with Zijin Bank having a net inflow of 2.9176 million from speculative funds [2]