Bank Of Jiangsu(600919)
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“我是厨神”活动火热进行中 江苏银行助力冬日美食消费热潮
Zhong Jin Zai Xian· 2026-01-09 09:17
Group 1 - The "Jiangsu Flavor" winter food event and "I am the Chef" series are actively taking place across thirteen cities in Jiangsu, with Jiangsu Bank as the exclusive title sponsor, promoting winter food consumption through financial empowerment and resource integration [1][2] - Jiangsu Bank has created an immersive consumer experience area at food markets, offering consumer vouchers and exclusive discounts in collaboration with local restaurants, enhancing the overall dining experience for citizens [1][2] - The "I am the Chef" regional competition features various themes and city participation, showcasing chefs' skills and creativity, while Jiangsu Bank has launched a mobile banking section for the event, engaging over 60,000 customers with food gift boxes and discount coupons [2] Group 2 - Jiangsu Bank aims to provide smarter and more considerate financial services at city events, focusing on consumer needs and integrating financial services into various aspects of daily life to support high-quality economic development in the province [3]
多家银行推出资产提升活动,奖励达标客户
Mei Ri Jing Ji Xin Wen· 2026-01-09 00:29
#多家银行奖励提升资产# 【多家银行发起"资产提升活动",你有银行资产提升计划吗?】1月7日,江 苏银行发布公告称,今年前三月月均资产较上年末提升相应金额,即可获得相关奖励。除江苏银行之 外,近期已有农业银行、建设银行、南京银行等多家银行陆续下场,发起最新一轮金融资产提升活动。 你有银行资产提升计划吗?(每日经济新闻,泽塔) ...
城商行板块1月8日跌0.89%,重庆银行领跌,主力资金净流入673.97万元
Zheng Xing Xing Ye Ri Bao· 2026-01-08 08:56
Market Overview - The city commercial bank sector experienced a decline of 0.89% on January 8, with Chongqing Bank leading the drop [1] - The Shanghai Composite Index closed at 4082.98, down 0.07%, while the Shenzhen Component Index closed at 13959.48, down 0.51% [1] Individual Stock Performance - Zhengzhou Bank closed at 1.94 with no change, while Lanzhou Bank also remained unchanged at 2.33 [1] - Shanghai Bank closed at 9.95, down 0.10%, and Chengdu Bank closed at 16.23, down 0.18% [1] - Chongqing Bank saw a significant decline of 2.70%, closing at 10.45, with a trading volume of 99,000 shares [2] Trading Volume and Turnover - The trading volume for Zhengzhou Bank was 769,900 shares with a turnover of 149 million yuan, while Lanzhou Bank had a trading volume of 363,100 shares and a turnover of 84.51 million yuan [1] - The highest turnover was recorded for Nanjing Bank at 1.342 billion yuan with a trading volume of 1,217,000 shares [2] Capital Flow Analysis - The city commercial bank sector saw a net inflow of 6.7397 million yuan from institutional investors, while retail investors experienced a net outflow of 70.5351 million yuan [2] - Chengdu Bank had a net inflow of 87.0825 million yuan from institutional investors, but a net outflow of 46.0321 million yuan from retail investors [3] Summary of Capital Flows - Institutional investors showed a positive net flow for several banks, including Hangzhou Bank with 77.8301 million yuan and Qingdao Bank with 8.4480 million yuan [3] - Conversely, Chongqing Bank had a negative net flow of 535,600 yuan from institutional investors, indicating a lack of confidence [3]
传2026年“苏超”赞助超2亿元, 官方回应
Xin Lang Cai Jing· 2026-01-08 08:12
"苏超"2025年爆火后,近日,"2026赛季苏超赞助金额达2.02亿元"的消息在网上传播,2亿赞助商名单 满天飞。 据公开信息,2025年"苏超"开始时,共设置了总冠名商、官方战略合作伙伴、官方合作商、官方赞助 商、官方供应商5个类别的赞助商。总冠名商一个为江苏银行;官方战略合作伙伴、官方合作商、官方 赞助商各有一个,分别为国缘V3、卡尔美(KELME)体育、喝开水,官方供应商有两个,分别为紫金 保险、佳得乐。国缘V3为今世缘酒业的白酒产品,喝开水为康师傅旗下的包装饮用水。 1月7日,据现代快报、荔枝新闻等媒体从相关部门了解到,该消息不实。目前,2026年苏超的赞助商还 未公布,预计相关部门将于1月中旬召开发布会,正式对外发布苏超赞助商的相关信息。 之前据智通财经转引新华日报的消息称,2026赛季江苏省城市足球联赛商业赞助合作征集已近收官。据 悉,新赛季赞助总金额达2.02亿元。冠名合作方面,上赛季的江苏银行将继续支持,赞助金额也提升至 4500万元,新入局的苏豪集团赞助3000万元。2026赛季苏超将于4月份开踢,新赛季规模进一步扩大, 比赛预计从2025年的85场增加到91场。 值得关注的是,2025年 ...
江苏银行:2025年半年度权益分派实施公告
Zheng Quan Ri Bao· 2026-01-07 14:18
证券日报网讯 1月7日,江苏银行发布公告称,江苏银行2025年半年度利润分配方案敲定:A股每股派发 现金红利0.3309元(含税),股权登记日2026年1月13日,除权除息日及红利发放日均为1月14日,合计 派息60.72亿元。 (文章来源:证券日报) ...
江苏金租:关于为项目公司提供担保的公告
Zheng Quan Ri Bao· 2026-01-07 13:15
(文章来源:证券日报) 证券日报网讯 1月7日,江苏金租发布公告称,被担保人名称:汇恒(天津)航运租赁有限公司(简 称"汇恒租赁")、汇运(天津)航运租赁有限公司(简称"汇运租赁"),均为公司在境内保税地区设立 的全资项目公司。近日,公司分别与中国民生银行股份有限公司南京分行、江苏银行股份有限公司南京 分行签订保证合同,为汇恒租赁、汇运租赁的有关融资提供担保。汇恒租赁、汇运租赁是本公司经原中 国银保监会江苏监管局批准后,为开展跨境船舶租赁业务而在境内保税地区设立的全资项目公司。 ...
按揭、信用卡、消费贷与经营贷深度:深度银行四大零售资产的风险分析框架
ZHONGTAI SECURITIES· 2026-01-07 11:17
Investment Rating - The report maintains an "Overweight" rating for the banking sector [2] Core Insights - The four categories of retail loans (mortgages, credit cards, consumer loans, and business loans) collectively constitute household liabilities, each with distinct collateral types, duration structures, and policy influences. The report aims to establish a risk framework for these retail assets and assess their impact on banking operations in the future [2][4] - Under stress testing, the non-performing loan (NPL) ratios for mortgages, credit cards, and consumer loans are projected to increase by 11, 12, and 20 basis points respectively in 2026, while the growth in non-performing amounts remains manageable. The overall quality of corporate assets is expected to continue improving, indicating a stable banking sector [2][4] - Retail asset risks are deemed controllable, with policies expected to maintain stability in the near term [2] Summary by Sections Retail Asset Analysis Framework: Collateral Types + Duration Structure + Policy Impact - The overall NPL ratio for retail loans of listed banks is estimated at 1.27% in the first half of 2025, slightly above the corporate NPL ratio of 1.26%, but the increase in NPL ratios is stabilizing. The composition of existing NPLs is 63% corporate and 37% retail, with business loans and mortgages showing higher proportions of both existing and newly added NPLs [2][12] - The report establishes a risk analysis framework for retail assets, highlighting the differences in collateral types, duration structures, and policy impacts among the four categories of retail loans [2][4] Consumer Loans: "High-Risk" Assets - The relationship between consumer loans and consumption trends is closely aligned, with notable deviations occurring during strict property purchase restrictions and regulatory cycles for online loans. The market structure for consumer credit (excluding credit cards and mortgages) shows that listed banks hold over 51.5% of the market, while non-listed banks account for 17% and other players for 31% [2][4] - The risk logic for consumer credit indicates that risk pricing is primarily determined by interest rates, which can be categorized into four tiers based on risk levels. The report estimates that 4.4% of consumer loans fall into the "high-risk" category, with commercial banks' high-risk consumer loans representing only 0.6% of their total consumer loans [2][4] Mortgage Loans: Risk Sources and International Comparisons - The primary sources of mortgage risk include negative cash flow and high loan-to-value (LTV) ratios, with 1.2% of respondents reporting monthly incomes below their mortgage payments. The report anticipates that the current high LTV portion, which constitutes 2.9% of total mortgage balances, will not necessarily lead to increased NPLs [2][4] - International comparisons indicate that mortgage NPL ratios in most countries remain below 2%, suggesting that the risks in the domestic market are manageable [2][4] Business Loans: High-Risk Assets - The report estimates that approximately 2 trillion yuan of high-risk business loans were outstanding at the end of 2021, with nearly one-third of these high-risk assets already exposed. The peak of risk exposure is expected in 2024 and the first half of 2025, with NPL ratios projected to rise by 18 basis points to 1.96% under stress testing conditions [2][4] Credit Cards: Early NPL Exposure - Credit cards have historically shown early exposure to NPLs, with the NPL ratio at 2.44% in the first half of 2025. The report notes that the net increase in credit card NPLs has significantly decreased, indicating that credit cards are not currently a major pressure point for banks [2][4] Investment Recommendations - The report suggests two main investment lines for bank stocks: focusing on regional banks with strong certainty and advantages, particularly in areas like Jiangsu, Shanghai, Chengdu, Shandong, and Fujian, and recommending large banks with high dividend yields such as Agricultural Bank, Construction Bank, and Industrial and Commercial Bank [2][4]
江苏银行(600919.SH)2025年半年度权益分派:每股派利0.3309元
Ge Long Hui A P P· 2026-01-07 10:50
本次权益分派股权登记日为:2026年1月13日,除权除息日为:2026年1月14日。 格隆汇1月7日丨江苏银行(600919.SH)公布2025年半年度权益分派实施公告,本次利润分配以方案实施前 的公司总股本18,351,324,463股为基数,每股派发现金红利0.3309元(含税),共计派发现金红利60.72 亿元。 ...
江苏银行(600919) - 江苏银行2025年半年度权益分派实施公告
2026-01-07 10:45
证券代码:600919 证券简称:江苏银行 公告编号:2026-003 优先股代码:360026 优先股简称:苏银优 1 江苏银行股份有限公司 2025年半年度权益分派实施公告 本公司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。 重要内容提示: 每股分配比例 A 股每股现金红利0.3309元 相关日期 | 股份类别 | 股权登记日 | 最后交易日 | 除权(息)日 | 现金红利发放日 | | --- | --- | --- | --- | --- | | A股 | 2026/1/13 | - | 2026/1/14 | 2026/1/14 | 差异化分红送转: 否 2.分派对象: 截至股权登记日下午上海证券交易所收市后,在中国证券登记结 算有限责任公司上海分公司(以下简称"中国结算上海分公司")登记 在册的本公司全体普通股股东。 3.分配方案: 本次利润分配以方案实施前的公司总股本18,351,324,463股为基 数,每股派发现金红利0.3309元(含税),共计派发现金红利60.72亿 元。 四、分配实施办法 1. 实施办法 ...
城商行板块1月7日涨0%,杭州银行领涨,主力资金净流出1.7亿元
Zheng Xing Xing Ye Ri Bao· 2026-01-07 08:58
Market Performance - The city commercial bank sector experienced a slight increase of 0.0% on January 7, with Hangzhou Bank leading the gains [1] - The Shanghai Composite Index closed at 4085.77, up 0.05%, while the Shenzhen Component Index closed at 14030.56, up 0.06% [1] Individual Stock Performance - Hangzhou Bank (600926) closed at 15.80, with a rise of 1.61% and a trading volume of 817,400 shares [1] - Ningbo Bank (002142) closed at 29.12, up 0.83%, with a trading volume of 411,100 shares [1] - Other notable performances include Jiangsu Bank (601963) at 10.64 (+0.38%) and Shanghai Bank (601229) at 9.96 (+0.30%) [1] Capital Flow Analysis - The city commercial bank sector saw a net outflow of 170 million yuan from institutional investors, while retail investors contributed a net inflow of 188 million yuan [2] - The overall capital flow indicates a mixed sentiment, with institutional investors withdrawing funds while retail investors increased their positions [2] Detailed Capital Flow by Bank - Jiangsu Bank had a net inflow of 123 million yuan from institutional investors, while retail investors saw a net outflow of 27 million yuan [3] - Hangzhou Bank experienced a net inflow of 84 million yuan from institutional investors, but retail investors had a significant outflow of 132 million yuan [3] - Chengdu Bank recorded a net inflow of 55 million yuan from institutional investors, with retail investors also experiencing a net outflow [3]