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 ...

Summary of Key Points from the Conference Call Industry Overview - The conference call involved 21 China financial companies, including banks, brokers, and fintech firms, discussing the financial services industry in China, particularly focusing on the third quarter results and outlook for the future [1][2]. Key Insights on Banks 1. **Net Interest Margins (NIMs) Outlook**: - Commercial bank NIM was flat quarter-on-quarter in 3Q25, indicating signs of stabilization. Banks expect NIMs to stabilize in 1H26, driven by slower declines in loan yields and ongoing repricing of time deposits [4][6]. - NIMs may face downward pressure due to concentrated loan repricing in 1Q26, but banks generally believe the decline will continue to narrow [4][6]. 2. **Credit Demand**: - Year-to-date, bank loan growth has been primarily driven by corporate loans, contributing 92% of new loans. Credit demand remains weak, particularly in retail loans, with expectations of further slowdown in 4Q25 [12][18]. - Mortgage demand is weak due to a sluggish property market, and while non-mortgage retail loans are growing slightly faster, banks remain cautious in lending [13][14]. 3. **Asset Quality Risks**: - Banks report a year-on-year decrease in new non-performing loan (NPL) formation for corporate loans, but property loans remain a significant source of new corporate NPLs. Banks have made sufficient provisions for property loans, providing a buffer against NPL ratios [19][20]. - Retail loan NPL formation has increased year-on-year, but risks are considered manageable due to low proportions of non-mortgage consumer loans and low loan-to-value ratios [25][27]. 4. **Non-Interest Income Growth**: - Fee income showed strong performance in 3Q25, driven by capital market activities and corporate loan growth. Banks expect continued positive trends in fee income despite potential impacts from fee cuts in mutual funds [32][35]. 5. **Capital Adequacy and Shareholder Returns**: - Some banks experienced a decline in CET-1 ratios due to rising bond market rates and new loans with higher risk weightings. However, capital adequacy is improving overall, supporting asset growth and risk absorption [40][41]. - Banks are gradually increasing dividend payout ratios, attracting long-term investors despite a decline in dividend yields from previous highs [41][43]. Regulatory Impacts 1. **Loan Facilitation Platforms**: - New regulations require clear disclosure of loan costs, impacting pricing and risk. Loan volumes are expected to contract in 4Q25 and 1Q26, with a potential recovery in 2Q26 if risks stabilize [46][47]. - Consumer finance companies are required to lower average loan interest rates, but the impact is expected to be manageable for top-tier platforms [48][51]. 2. **Consumer Finance**: - Banks are shrinking their internet loan portfolios and focusing on self-operated loans due to rising retail risks. This shift may suppress retail credit growth in the short term [50][51]. Capital Markets Insights 1. **Broker Performance**: - Brokers experienced higher trading volumes in 3Q25, with expectations of sustained performance due to ongoing bank deposit migration and strong investor sentiment [53][54]. - CICC is focusing on institutional business but sees rising wealth management income due to strong demand in IPO subscriptions [53][54]. 2. **Financial Software Companies**: - Financial software companies may benefit from capital market recovery, but outcomes vary. Brokers are increasing IT budgets due to trading activity, while fund companies are cautious due to declining AUM and fee rates [59][61]. Conclusion - The financial services industry in China is navigating a complex landscape with stabilizing NIMs, weak credit demand, manageable asset quality risks, and evolving regulatory impacts. The outlook for banks and brokers remains cautiously optimistic, with potential growth in non-interest income and capital markets activity.

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]

恒生银行高开低走后探底回升，截至收盘上涨0.36%。其中重庆农村商业银行大涨3.18%，青岛银行上 涨2.27%，重庆银行、渣打银行、浙商银行等近10只个股涨幅在1%上方；光大银行逆势大跌3.16%，邮 储银行下跌2.55%。 恒生医疗相对偏弱，深V反转后小涨0.06%。其中京东健康大涨3.93%，药明生物、三生制药、药明康德 等股涨幅均在1%上方；康方生物、中国生物、石药集团等股逆势收跌。 内容只是个人观点，仅供参考，不作为投资依据！欢迎关注交流，互相学习、共同探讨！ 恒生指数冲高回落后全天维持在中轴上方窄幅盘整，截止收盘上涨0.67%。互联网涨幅居前，科技、银 行紧随其后；医疗、大消费相对偏弱。 互联网小幅低开后直线拉升，随后全天维持在中轴上方窄幅盘整，截止收盘上涨0.75%。其中网易大涨 3.93%，阿里巴巴上涨2.24%，地平线机器人、百度集团、腾讯控股等多股涨幅均在1%上方。 ...

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]

Core Viewpoint - The banking sector experienced a notable upward trend on December 1, with several banks showing significant gains in their stock prices, indicating positive market sentiment towards the banking industry [1][2]. Group 1: Stock Performance - Zhangjiagang Bank saw an increase of over 5%, reaching a price of 4.79 [2]. - Xiamen Bank rose by more than 4%, with its stock priced at 7.44 [2]. - Qilu Bank experienced a gain of over 3.5%, with its stock priced at 6.13 [2]. - Other banks such as Nanjing Bank, Chongqing Rural Commercial Bank, and Jiangyin Bank also reported increases in their stock prices, contributing to the overall positive performance of the banking sector [1][2].

每经AI快讯，12月1日，银行板块盘中震荡走强，城商行方向领涨，张家港行涨超5%，厦门银行、齐鲁 银行、江阴银行、渝农商行、上海银行涨幅靠前。 （文章来源：每日经济新闻） ...

Core Viewpoint - The banking sector experienced a notable upward trend on December 1, with several banks showing significant gains in their stock prices, indicating positive market sentiment towards the banking industry [1]. Group 1: Stock Performance - Zhangjiagang Bank saw an increase of over 5%, reaching a price of 4.79 [2]. - Xiamen Bank rose by more than 4%, with its stock priced at 7.44 [2]. - Qilu Bank experienced a gain of over 3%, with its stock price at 6.13 [2]. - Other banks such as Nanjing Bank, Chongqing Rural Commercial Bank, and Jiangyin Bank also showed positive movements, contributing to the overall upward trend in the banking sector [1].