又到岁末年初，兑换崭新钞票包红包是许多家庭的春节传统。近期各大银行的新钞预约火热，一场新钞"预约战"就此打响。 时代财经注意到，目前多家银行均支持储户通过手机银行APP线上预约新钞，并自行选择方便的网点支取。从预约情况来看，不少银行十分火爆，部分地 区甚至"一钞难求"，如招商银行APP日前显示，该行深圳地区的线上新钞预约额度使用完毕，暂不提供服务，如有新钞兑换需求，储户可咨询各营业网 点。 在广东省等流行换新钞、备"利是"的地区，小面额钞票预约尤其紧张，20元、50元面值的新钞最为抢手。"今年广东的很多银行都很难拿到20元新钞，问 了很多都说没有，都是给10元新钞代替。"2月6日，来自广东的储户林女士如此表示。 据工商银行深圳市分行近日发布，2026年新春，工商银行深圳市分行在工银微金融小程序开启了"利是钞预约"服务通道。该行同时称，利是钞指新钞或符 合流通标准且整洁度较高的环保钞，网点将优先提供新钞，当新钞额度兑换完毕后，将提供环保钞，同样寓意吉祥；另外，利是钞支持预约100元、50 元、20元、10元、5元共五种券别，可以满足储户的多样需求。 从额度来看，该行上述5种面额新钞的可预约张数均为100张，储户 ...

Quantitative Models and Construction Methods 1. Model Name: Industry Mainline Model (Relative Strength Index, RSI) - **Model Construction Idea**: This model identifies leading industries by calculating their relative strength (RS) based on historical price performance. Industries with RS > 90% are considered potential market leaders [13] - **Model Construction Process**: 1. Use 31 first-level industry indices as the configuration targets [13] 2. Calculate the price change percentages over the past 20, 40, and 60 trading days for each industry [13] 3. Rank the industries based on their price changes for each period and normalize the rankings to obtain RS_20, RS_40, and RS_60 [13] 4. Compute the average of the three rankings to derive the final RS index: $ RS = (RS_{20} + RS_{40} + RS_{60}) / 3 $ [13] 5. Industries with RS > 90% before the end of April are identified as potential leaders for the year [13] - **Model Evaluation**: The model effectively identified leading industries in 2024, such as coal, utilities, home appliances, banks, oil and gas, telecommunications, non-ferrous metals, agriculture, and automobiles. These industries aligned with the market's main themes, including high dividends, resources, exports, and AI [13] 2. Model Name: Industry Sentiment-Trend-Crowding Framework - **Model Construction Idea**: This framework provides two right-side industry rotation strategies based on market sentiment, trend, and crowding levels [17] 1. High Sentiment + Strong Trend, avoiding high crowding (aggressive and synchronized with the market) [17] 2. Strong Trend + Low Crowding, avoiding low sentiment (trend-following and user-friendly) [17] - **Model Construction Process**: 1. Use sentiment as the core metric, combined with trend and crowding levels, to identify industries with strong potential [17] 2. Historical backtesting results show the model's annualized return and risk metrics [17] - **Model Evaluation**: The model demonstrates strong performance, with an annualized return of 22.0%, an annualized excess return of 13.4%, an IR of 1.5, and a maximum drawdown of -8.0%. The monthly win rate is 67% [17] 3. Model Name: Left-Side Inventory Reversal Model - **Model Construction Idea**: This model identifies industries in a recovery phase from distress or inventory pressure, aiming to capture turnaround opportunities during restocking cycles [27] - **Model Construction Process**: 1. Focus on industries with current or past distress but showing signs of recovery [27] 2. Evaluate long-term analyst sentiment and inventory pressure to identify industries with restocking potential [27] 3. Historical backtesting results show the model's performance metrics [27] - **Model Evaluation**: The model has shown strong historical performance, with absolute returns of 13.4% in 2023, 26.5% in 2024, and 28.7% in 2025. The excess returns relative to equal-weighted industry benchmarks were 17.0%, 15.4%, and 5.6%, respectively [27] --- Model Backtesting Results 1. Industry Mainline Model (RSI) - **2024**: Industries with RS > 90% included coal, utilities, home appliances, banks, oil and gas, telecommunications, non-ferrous metals, agriculture, and automobiles. These industries aligned with the year's main themes [13] - **2025**: 17 industries showed RS > 90%, including TMT, banks, manufacturing, and some consumer sectors [13] - **2026 (up to February 6)**: 7 industries showed RS > 90%, including media, building materials, oil and gas, non-ferrous metals, basic chemicals, defense, and telecommunications [14] 2. Industry Sentiment-Trend-Crowding Framework - **Annualized Return**: 22.0% [17] - **Annualized Excess Return**: 13.4% [17] - **IR**: 1.5 [17] - **Maximum Drawdown**: -8.0% [17] - **Monthly Win Rate**: 67% [17] - **January 2026 Performance**: Absolute return of 6.5%, excess return of 0.7% [17] 3. Left-Side Inventory Reversal Model - **2023**: Absolute return of 13.4%, excess return of 17.0% [27] - **2024**: Absolute return of 26.5%, excess return of 15.4% [27] - **2025**: Absolute return of 28.7%, excess return of 5.6% [27] - **January 2026**: Absolute return of 10.4%, excess return of 4.8% [27]

Core Viewpoint - Citigroup forecasts that the revenue of domestic banks will increase by 2.1% year-on-year in Q4 2025, primarily benefiting from stable fee income and a steady net interest margin, partially offsetting the impact of slowing loan growth [1] Group 1: Revenue and Performance Expectations - The report anticipates that domestic banks will release provisions to support profit growth amid stable asset quality [1] - Among domestic banks, Chongqing Rural Commercial Bank is expected to outperform, while Everbright Bank and Changshu Bank are projected to underperform [1] Group 2: Loan Growth and Interest Margin - Strong loan growth in January was mainly driven by corporate loans [1] - Net interest margin pressure is expected to ease in 2026, with revenue growth for the banking sector in FY2026 anticipated to improve slightly compared to FY2025, driven by stable net interest margins and strong fee income [1] Group 3: Investment Opportunities - With the yield on China's 10-year government bonds peaking, the spread between dividend yields and 10-year government bond yields is expected to widen, attracting investors seeking returns [1] - The preferred banks for investment are Bank of China and Ningbo Bank [1]

报告指，内银1月的贷款强劲增长，主要由企业贷款驱动。净息差压力预计将于2026年有所缓解，预期 银行业2026财年营收增长将较2025财年略有改善，主要得益于净息差趋稳及手续费收入强劲。随着中国 十年期国债孳息率见顶，股息率与十年期国债孳息率利差将扩大，进而吸引南资金中寻求收益的投资 者。该行首选中国银行（601988）(03988)与宁波银行（002142）(002142.SZ)。 花旗发布研报称，预期内银2025年第四季营收同比增2.1%，主要受惠于稳健的手续费收入与趋稳的净 息差，部分抵销贷款增速放缓的影响。在资产质量稳定的背景下，该行预期内银将释放拨备以支持盈利 增长。在一众内银中，花旗预期重庆农村商业银行(03618)第四季业绩将优于预期，光大银行(06818)与 常熟银行（601128）(601128.SH)表现逊预期。 ...

目前，"2025年度农商行十大杰出董事长"已经确定，江南农商银行董事长庄广强入选。 运营商财经网讯 庄广强是业内公认的"实干派"。早年间，他曾在供职于农行；2005年后进入常熟农商行体系内任职，从 副行长逐步晋升至董事长，曾主导推进普惠金融业务发展。 运营商财经网副总经理康锐表示，庄广强的到任，曾被视为江南农商行冲刺上市、迈向"万亿级银行"的 重要信号。后续发展值得持续关注。 运营商财经（官方微信公众号yyscjrd）—— 主流财经网站，一家全面覆盖科技、金融、证券、汽车、 房产、食品、医药、日化、酒业及其他各种消费品网站。 2023年11月后，庄广强正式进入江南农商行工作，后担任该行党委书记、董事长等职。 ...

Investment Rating - The industry rating is "Buy" [4] Core Views - The trade return ratio has turned positive again, and the service trade deficit has significantly narrowed [16][18] - The cross-border capital flow is expected to gradually return, positively impacting domestic liquidity [5][19] - The service trade deficit for December 2025 was 966 billion CNY, a year-on-year decrease of 466 billion CNY, with a full-year deficit of 13,760 billion CNY, down 2,544 billion CNY, approximately 16% [18] Summary by Sections 1. Current Observation - The State Administration of Foreign Exchange (SAFE) released data on China's international balance of payments for December 2025, indicating a potential impact on the central bank's willingness to settle foreign exchange [16] - The trade return ratio is at a historical high, with a monthly unconverted trade net outflow of 447 billion CNY, a year-on-year increase of 1,392 billion CNY [17] 2. Arbitrage Trading Returns - The arbitrage trading return rate for 10Y US Treasury bonds in CNY has dropped significantly to -1.77%, indicating a shift in cross-border capital dynamics [17] 3. Service Trade Deficit - The service trade deficit has narrowed significantly, with major contributions from improved policies for foreign visitors, reduced international shipping costs, and enhanced competitiveness in high-tech services [18] 4. Cross-Border Liquidity Outlook - Despite the recent appointment of Kevin Warsh as the next Federal Reserve Chair, the trend of cross-border capital return is expected to continue, influenced by the Fed's monetary policy stance [19][21] - The short-term liquidity in the US remains tight, with limited space for balance sheet reduction, while long-term prospects depend on economic performance [20][21]

新疆农商行的开业，成为我国省联社改革的缩影。2025年内，共有7家省级农商银行或农商联合银行相 继成立，改革呈现加速推进态势。 长江商报记者注意到，目前全国已有13个省份完成省联社改革。本轮省联社改革倡导因地制宜、一省一 策，主要形成了两种主导模式并存的路径。 2025年，是我国中小银行改革步入纵深推进的关键一年。 以省级农信联社改制与村镇银行整合为代表的结构性调整，共同勾勒出银行业从规模扩张向提质增效转 型的清晰路径。 长江商报记者注意到，目前全国已有13个省份完成省联社改革，2025年内新挂牌省级农商银行或联合银 行数量达7家。 村镇银行整合方面，2025年全年，共有462家银行通过合并、解散等方式退出市场，其中村镇银行数量 达到291家，占比约为63%，"村改支"(村镇银行改为支行)成为整合主流路径。 在此过程中，国有大行首次深度参与整合，工商银行、农业银行等积极推进"村改支"。股份行与优质区 域银行也加快布局，共同构建多层次、互补性的县域金融服务新格局。 改革提速13省落地省级法人机构 2025年12月末，新疆农商行正式在乌鲁木齐挂牌开业，成为全国第六家、西北地区首家省级统一法人农 商银行，我国省级农 ...

Investment Rating - The industry rating is maintained at "Overweight" [7][36] Core Insights - The central bank's 2026 credit market work meeting emphasized the need for enhanced financial support in the consumer sector, with a focus on expanding domestic demand during the 14th Five-Year Plan period [6][32] - Structural monetary policy tools will be implemented to support key areas, including small and micro enterprises, technological innovation, and green upgrades [7][33] - Financial support for consumption is expected to increase, particularly in sectors such as health care, cultural tourism, and new consumption areas like digital and green initiatives [7][34] Summary by Sections Industry Performance - The banking sector index rose by 1.70% during the period from February 2 to February 8, 2026, outperforming the CSI 300 index by 3.04 percentage points [11] - The performance of various banking segments showed that city commercial banks led the market [11] Financial Market Conditions - The central bank's net withdrawal from the open market was 656 billion yuan, indicating a relatively loose funding environment [19] - The average issuance rates for interbank certificates of deposit increased, with net financing amounting to 236.19 billion yuan in February [22][23] Investment Recommendations - With the collaboration of financial and fiscal policies, the "opening red" phase of credit issuance is expected to remain stable, which may enhance core revenue growth for banks [9][36] - High dividend yields in bank stocks present significant investment value, with recommendations for state-owned banks and flexible regional banks [9][36]

Market Overview - The A-share market experienced a collective decline on February 6, with the Shanghai Composite Index down by 0.25% to 4065.58 points, the ChiNext Index down by 0.73% to 3236.46 points, and the Shenzhen Component Index down by 0.33% to 13906.73 points [3] - The total trading volume in the Shanghai and Shenzhen markets was 21,458 billion yuan, a decrease of 304 billion yuan from the previous trading day [4] Sector Performance - The basic chemical sector led the market, with stocks like Jiangtian Chemical and Jinniu Chemical hitting the daily limit or rising over 10% [5] - The food and beverage sector saw significant declines, with stocks like Huangtai Liquor and Zhongxin Niya experiencing steep drops [6] - The electric equipment sector also performed well, with stocks such as Wanrun New Energy and Zairun New Energy reaching the daily limit or increasing by over 10% [6] Investment Sentiment - The market is characterized by accelerated rotation and cooling of main themes, with funds seeking refuge in defensive sectors [7] - There is a noted decrease in risk appetite among investors, as indicated by the continuous reduction in trading volume [7] - Analysts suggest that the current market environment may lead to a shift in investment focus towards consumer and banking sectors for defensive strategies [7] Future Outlook - Analysts from Zhongjin Company maintain a positive long-term outlook for Chinese stocks, citing ample liquidity and improving earnings as key factors [8] - The upcoming Spring Festival is expected to boost consumer spending, with strong policy support anticipated to drive recovery in the consumption market [8]

宣传员：徐家宝 "下午在线提交的材料，次日午后抵押融资就到账了，这效率真是帮我们解了燃眉之急！"常熟市三恒建材有限责任公司财务负责人王女士由衷感慨。这份 高效体验，源自"不动产登记+金融"双重智能审核平台的赋能，也是常熟市资规局深入践行"三服务"专项行动、精准服务企业发展的生动缩影。 2025年4月，市资规局与常熟农商银行签订党建共建协议，以党建为纽带打破部门壁垒，将党建政治优势转化为服务企业的实际效能，历经一年深耕打造 业内领先的双重智能审核平台为企业高质量发展注入了强劲动能。 聚焦服务企业，机制破壁重构审批新范式。平台依托Deep Seek大模型技术，首创"银行端智能初审+登记端智能复核"双重闭环审核机制，实现从"人工跑 腿"到"数据跑路"的根本性转变。企业在线提交申请后，银行端AI即刻核验材料完整性与合规性，登记端AI同步精准复核，全程无需线下奔波。这种"两端 协同、智能双审"模式在苏州大市率先落地，为跨部门业务协同提供了可复制的"常熟样板"，截至目前已累计办理抵押登记业务3233笔，涉及金额145.7亿 元。 优化服务效能，流程再造兑现"当天放款"承诺。借助线上平台与电子签章技术，市资规局构建全程"不 ...