Investment Rating - The industry investment rating is "Buy" [2] Core Insights - The report provides a comprehensive analysis of 163 regional banks in Zhejiang Province, highlighting their asset and liability structures, profitability, and asset quality [6][20] - The asset growth rate for major city commercial banks in Zhejiang is 9.4%, which is lower than the 14.2% growth rate of listed city commercial banks, while major rural commercial banks show an asset growth rate of 8.0%, exceeding the 6.7% growth rate of listed rural commercial banks [6][25] - The report indicates that the loan-to-asset ratio for city commercial banks is projected to reach 55.5% in 2024, an increase of 95 basis points year-on-year, while rural commercial banks will see a decrease to 59.3%, down 19 basis points [31] - Profitability metrics show that the average Return on Assets (ROA) for city commercial banks in Zhejiang is 0.78%, slightly above the average of listed city commercial banks, while rural commercial banks have an average ROA of 0.82%, which is below the average of listed rural commercial banks [6][31] - The asset quality of regional banks in Zhejiang is reported to be better than that of listed banks, with non-performing loan ratios lower by 16 basis points for city commercial banks and 9 basis points for rural commercial banks compared to their listed counterparts [6][31] Summary by Sections Section 1: Economic Structure of Zhejiang Province - Zhejiang Province is focused on high-quality development and aims to become a model for common prosperity [13] - The province's GDP is heavily concentrated in cities like Hangzhou, Ningbo, and Wenzhou, with Hangzhou accounting for 24.3% of the total GDP in 2025 [15] Section 2: Overview of 163 Regional Banks - The report categorizes the banks into city commercial banks, rural banks, and others, with a total of 163 banks in the region [20] - The distribution of registered capital among these banks is relatively balanced, with 63 banks having over 500 million yuan in registered capital [22] Section 3: Asset and Liability Structure - The asset growth of major city and rural commercial banks has been declining since 2019, with city banks showing a growth rate of 9.4% in the first half of 2025 [25] - The liability structure indicates that customer deposits account for 77.5% of liabilities for city commercial banks, which is higher than the 66.2% for listed city banks [44] Section 4: Profitability and Asset Quality - The average ROE for city commercial banks in Zhejiang is 11.98%, slightly lower than the average of listed city banks [6][31] - The report highlights that the non-performing loan ratio for city commercial banks is lower than that of listed banks, indicating better asset quality [6][31]

Group 1 - In January 2026, over 600 A-share listed companies were surveyed by institutions, indicating a high level of interest in investment opportunities in the A-share market [1][3] - The sectors that attracted the most attention included electronics, machinery, pharmaceuticals, power equipment, and computers, with a notable increase in the banking sector's activity [1][8] - Jiemai Technology was the most frequently surveyed company, with over 10 surveys conducted in January, highlighting the interest from various types of institutions including public funds, private funds, and foreign capital [3][4] Group 2 - Ice Wheel Environment and Taihe New Materials also received significant attention, each with over 10 surveys, discussing their product developments and market strategies [4][5] - The banking sector saw a marked increase in survey activity, with institutions like Hu Nong Commercial Bank and Suzhou Bank outlining their credit strategies and growth plans for 2026 [7][9] - Hu Nong Commercial Bank emphasized a balanced approach to risk while setting aggressive credit targets, focusing on major projects and green transformation initiatives [9][10]

| 代码 | 名称 | 收盘价 | 涨跌幅 | 成交量(手) | 成交额(元) | | --- | --- | --- | --- | --- | --- | | 601963 | 重庆银行 | 10.18 | -1.83% | 12.29万 | 1.25亿 | | 601838 | 成都银行 | 15.82 | -1.62% | 44.70万 | 7.10亿 | | 601665 | 齐鲁银行 | 5.64 | -1.57% | 74.37万 | 4.21亿 | | 601169 | 北京银行 | 5.28 | -1.31% | 196.28万 | 10.39亿 | | 601229 | 上海银行 | 9.27 | -1.28% | 53.77万 | 4.98亿 | | 601577 | 长沙银行 | 9.56 | -0.93% | 19.60万 | 1.87亿 | | 600928 | 西安银行 | 3.69 | -0.81% | 24.44万 | 9033.50万 | | 601997 | 贵阳银行 | 5.69 | -0.70% | 42.61万 | 2.43亿 | | 616009 | 江苏银行 | ...

Core Viewpoint - The article highlights the ongoing institutional research on listed banks in January, focusing on credit issuance, net interest margin, asset quality trends, and bond investment strategies during the peak marketing season [1][2][7]. Group 1: Institutional Research and Credit Issuance - A total of 373 institutions conducted research on 11 A-share listed banks, with 49 research instances recorded by January 31 [1][7]. - The banks under review include Nanjing Bank, Ningbo Bank, Shanghai Bank, and others, with Nanjing Bank being the most favored, receiving 76 institutional inquiries [2][8]. - Institutions are particularly focused on credit issuance during the marketing peak, with many banks reporting better performance compared to the same period in 2025 [2][8]. - Key areas for credit issuance include manufacturing, infrastructure construction, and green low-carbon transformation projects [3][9]. Group 2: Net Interest Margin Stability - Net interest margin (NIM) is a critical indicator of banking performance, with banks focusing on stabilizing NIM through asset and liability management [4][11]. - Shanghai Bank anticipates a slight decline in NIM due to the expected decrease in loan market quotation rates (LPR) and competitive pressures on deposit pricing [11][12]. - Qilu Bank is optimizing its asset portfolio and enhancing low-cost deposit acquisition to stabilize NIM [11][12]. Group 3: Bond Investment Strategies - The bond market has been volatile since 2025, affecting the bond investment returns of regional small and medium-sized banks [6][12]. - Shanghai Bank expects bond rates to remain in a fluctuating range in 2026, with limited potential for a trend reversal [6][13]. - Hu Nong Bank plans to focus on bond investment for asset allocation while employing risk management strategies, including the use of derivatives [6][13]. Group 4: Asset Quality Management - Banks are implementing measures to maintain stable asset quality, including improving the quality of new loans and increasing efforts to manage non-performing loans [6][13].

Group 1 - In January, 11 A-share listed banks were surveyed by 373 institutions, with a total of 49 survey instances, focusing on credit issuance, net interest margin, asset quality trends, and bond investment strategies during the peak marketing season [1] - The surveyed banks include Nanjing Bank, Ningbo Bank, Shanghai Bank, Hangzhou Bank, Suzhou Bank, Qingdao Bank, Qilu Bank, Xiamen Bank, Hu Nong Bank, Qing Nong Bank, and Zijin Bank, with six banks experiencing stock price increases, led by Qingdao Bank with over 16% growth [2] - Nanjing Bank was the most favored by institutions, receiving 76 surveys, while Shanghai Bank received 75 surveys, indicating strong interest in their credit issuance during the marketing peak [2] Group 2 - The focus of the credit issuance during the peak marketing season is on corporate credit, with banks reporting better performance compared to the same period in 2025, emphasizing manufacturing, infrastructure, and green transformation projects [2][3] - Shanghai Bank anticipates a continued decline in the Loan Prime Rate (LPR) in 2026, which may lead to a slight decrease in net interest margin due to competitive market factors [4] - Qilu Bank aims to stabilize its net interest margin by optimizing asset management and expanding low-cost deposits while managing liabilities effectively [4] Group 3 - The overall pressure on net interest margin for listed banks is expected to ease in 2026, with a narrowing decline anticipated, supported by improvements in funding costs [5] - Shanghai Bank predicts that bond yields will continue to fluctuate within a range in 2026, with low likelihood of a trend reversal [5] - Hu Nong Bank plans to focus on bond investments primarily for allocation, while also employing advanced technologies for trading and risk management [6]

苏州银行股份有限公司投资者关系活动记录表 | | 编号：2026-06 | | --- | --- | | | □分析师会议 特定对象调研 | | 投资者关系活动类 | □媒体采访 □业绩说明会 | | 别 | □新闻发布会 □路演活动 | | | □现场参观 | | | □其他（请文字说明其他活动内容） | | | 调研人员：开源证券刘呈祥、吴文鑫、朱晓云、沈美辰， 中泰资管曲致远 | | 活动参与人员 | 上市公司接待人员：董事会办公室副主任杨礼英、计划财 | | | 务部总经理助理沈若弢及风险管理部和董事会办公室相关 | | | 人员 | | 时间 | 2026 年 2 月 2 日 | | 地点 | 苏州银行总行 11 楼会议室 | | 形式 | 现场会议 | | | 主要就苏州银行相关经营情况进行了交流，以下为投 | | | 资者问询及简要回复情况记录： | | | 1、贵行今年"开门红"信贷投放情况怎么样？ | | | 答：截至目前，本行 2026 年旺季信贷投放情况良好， | | | 实现"开门红"较好开局。本行较早启动旺季相关准备工 | | | 作，全力保障项目储备高效审批落地。本行将继续全力 ...

Market Overview - On February 2, the city commercial bank sector declined by 0.3% compared to the previous trading day, with Qilu Bank leading the decline [1] - The Shanghai Composite Index closed at 4015.75, down 2.48%, while the Shenzhen Component Index closed at 13824.35, down 2.69% [1] Individual Bank Performance - Shanghai Bank (601229) closed at 66.6, up 1.62% with a trading volume of 821,000 shares and a transaction value of 776 million [1] - Beijing Bank (601169) closed at 5.35, up 0.94% with a trading volume of 2.4269 million shares and a transaction value of 1.304 billion [1] - Nanjing Bank (6001009) closed at 10.62, up 0.85% with a trading volume of 844,400 shares and a transaction value of 902 million [1] - Qilu Bank (601665) closed at 5.73, down 1.55% with a trading volume of 715,600 shares and a transaction value of 415 million [2] - Hangzhou Bank (600926) closed at 15.92, down 1.49% with a trading volume of 521,800 shares and a transaction value of 840 million [2] Capital Flow Analysis - The city commercial bank sector saw a net inflow of 17.93 million from institutional investors, while retail investors experienced a net outflow of 157.95 million [2] - Major banks like Shanghai Bank and Jiangsu Bank had significant net inflows from institutional investors, with Shanghai Bank receiving 71.52 million, accounting for 9.22% of its total [3] - Conversely, retail investors showed a notable outflow from several banks, including Beijing Bank, which saw a retail net outflow of 64.17 million, representing 4.92% [3]

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies [3]. Core Insights - The top five sectors with the highest excess returns for long positions in January 2026 (excluding comprehensive) are Defense and Military, Communication, Agriculture, Home Appliances, and Electric Equipment & New Energy, with excess returns of 11.41%, 8.40%, 7.85%, 6.01%, and 4.98% respectively [2]. - Over the past year, the sectors with the highest average monthly excess returns (excluding comprehensive) are Real Estate, Home Appliances, Retail, Construction, and Defense and Military, with excess returns of 2.17%, 2.09%, 1.69%, 1.69%, and 1.58% respectively [2]. - The GAN_GRU factor has shown a mean Information Coefficient (IC) of 0.1107 and an annualized excess return of 22.36% from January 2019 to January 2026 [41]. - As of January 28, 2026, the latest IC for the GAN_GRU factor is 0.0003, with a one-year mean IC of 0.0553 [41]. - The top five sectors based on the recent IC performance of the GAN_GRU factor are Defense and Military, Construction, Real Estate, Banking, and Communication, with IC values of 0.3498, 0.2478, 0.2165, 0.1993, and 0.1976 respectively [41]. - The long position combination based on the GAN_GRU factor has shown the highest excess returns in the sectors of Defense and Military, Communication, Agriculture, Home Appliances, and Electric Equipment & New Energy [45]. Summary by Sections GAN_GRU Model Overview - The GAN_GRU model utilizes Generative Adversarial Networks (GAN) for processing time-series features and GRU for encoding these features into stock selection factors [4][13]. GAN_GRU Factor Performance - The GAN_GRU factor has demonstrated significant performance metrics, including a mean IC of 0.1107 and an annualized excess return of 22.36% [41]. - The recent IC rankings for various sectors indicate strong performance in Defense and Military, Construction, and Real Estate [41][45]. Long Position Combinations - The report lists the top ten stocks selected based on the GAN_GRU factor, including companies like Xinhua Insurance, Guanghong Technology, and Guangdong Expressway [50].

证券之星消息，1月29日城商行板块较上一交易日上涨2.54%，青岛银行领涨。当日上证指数报收于 4157.98，上涨0.16%。深证成指报收于14300.08，下跌0.3%。城商行板块个股涨跌见下表： | 代码 | 名称 | 主力净流入(元) | 主力净占比 游资净流入(元) | | 游资净占比 散户净流入(元) | | 散户净占比 | | --- | --- | --- | --- | --- | --- | --- | --- | | 600919 江苏银行 | | 3.22 Z | 14.99% | -1.71 Z | -7.95% | -1.51 Z | -7.04% | | 002142 | 宁波银行 | 1.51亿 | 11.12% | -241.36万 | -0.18% | -1.49 Z | -10.94% | | 601169 | 北京银行 | 1.07 乙 | 8.92% | -2694.44万 | -2.24% | -8037.98万 | -6.68% | | 601229 | 上海银行 | 4165.56万 | 6.03% | 847.76万 | 1.23% | -5013.31万 | ...

岁序常易，新元肇启。2026年开篇之际，姑苏大地传来振奋人心的讯息：在苏州市财政局、科技局的指 导下，新版"科贷通"正式扩容，苏州市首单落地苏州银行。 这一举措既是苏式金融匠心的传承延续，更是对中央金融工作会议精神的精准践行。中央明确提出"坚 定不移走中国特色金融发展之路，着力打造科技金融、绿色金融、普惠金融、养老金融、数字金融'五 篇大文章'"，苏州银行以科贷通升级扩容为笔墨，在普惠赋能与科创发展的交汇点上，绘就了金融助力 新质生产力跃升的鲜活图景。 中央金融工作会议强调，金融服务要坚守以人民为中心的价值取向，这份金融温度在苏州银行的实践中 体现得淋漓尽致。科贷通扩容绝非简单的产品升级，而是金融服务的深度延伸：联合苏州国发担保实 现"见贷即保"，大幅提升融资效率；免费提供"薪智通"等企业服务工具，设立科创业务专属审批部门， 为企业省去繁文缛节；提供供应链融资与跨境结算全链条支持，让金融服务超越"放贷"本身，成为科创 中小企业穿越市场周期的"同行者"与"护航员"。这种"有温度的普惠金融"，既是对中央金融工作要求的 生动回应，亦是苏式金融匠心的鲜活彰显。 金鸡湖的晨光中，创新的种子正被金融"活水"悉心滋养；江南 ...