21世纪经济报道记者 方海平 上海报道 当下，人人都对快速迭代的各类技术的巨大能量有了初体验，也深信其终将渗透并重塑经济和社会生活 的各个领域，在金融行业亦不例外。作为"金融五篇大文章"之一，金融机构尤其是银行对数字金融的重 视和投入似乎怎么强调都不为过。 如今银行业的数字化进程到了哪一步？大模型等新兴技术强势来袭，银行业有怎样的思考和顾虑？新的 数字化地基更新建成，下一步在技术应用上会有怎样的突破？对此，21世纪经济报道《对话数字金融30 人》高端访谈栏目近期专访了上海银行（601229）副行长、首席信息官胡德斌。 胡德斌拥有十分深厚的银行业数字化经历，拥有吉林大学软件工程博士学位。其职业生涯深度贯穿中国 银行业信息化与数字化历程，曾历任中国工商银行软件开发中心副总经理、数据中心（上海）副总经理 等关键职务。自2016年出任上海银行副行长，并于2021年兼任首席信息官以来，他主导推动了该行一系 列重大科技战略工程。 近期，上海银行历时27个月的"智芯工程"圆满收官，新一代全栈信创核心系统成功投产。该工程不仅实 现了从底层硬件到应用软件的全面自主可控，更依托腾讯云TDSQL数据库与TCE专有云平台，完成了 核 ...

21世纪经济报道记者方海平上海报道 当下，人人都对快速迭代的各类技术的巨大能量有了初体验，也深信其终将渗透并重塑经济和社会生活 的各个领域，在金融行业亦不例外。作为"金融五篇大文章"之一，金融机构尤其是银行对数字金融的重 视和投入似乎怎么强调都不为过。 如今银行业的数字化进程到了哪一步？大模型等新兴技术强势来袭，银行业有怎样的思考和顾虑？新的 数字化地基更新建成，下一步在技术应用上会有怎样的突破？对此，21世纪经济报道《对话数字金融30 人》高端访谈栏目近期专访了上海银行副行长、首席信息官胡德斌。 胡德斌拥有十分深厚的银行业数字化经历，拥有吉林大学软件工程博士学位。其职业生涯深度贯穿中国 银行业信息化与数字化历程，曾历任中国工商银行软件开发中心副总经理、数据中心（上海）副总经理 等关键职务。自2016年出任上海银行副行长，并于2021年兼任首席信息官以来，他主导推动了该行一系 列重大科技战略工程。 近期，上海银行历时27个月的"智芯工程"圆满收官，新一代全栈信创核心系统成功投产。该工程不仅实 现了从底层硬件到应用软件的全面自主可控，更依托腾讯云TDSQL数据库与TCE专有云平台，完成了 核心系统的平滑迁移与云 ...

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]

Group 1 - The article presents the top 20 stocks in the S&P China A-Share Dividend Opportunity Index (CSPSADRP) based on their daily and year-to-date performance as of January 7, 2026 [1][5] - The top performer is Tuke Mining (600188.SH) with a daily increase of 3.61% and a year-to-date increase of 6.84%, along with a dividend yield of 5.31% [1][5] - Nanshan Aluminum (600219.SH) ranks second with a daily increase of 2.82% and a year-to-date increase of 8.36%, offering a dividend yield of 6.87% [1][5] Group 2 - Other notable stocks include Daimay Co. (603730.SH) with a daily increase of 1.72% and a year-to-date increase of 1.48%, and Tianshan Aluminum (002532.SZ) with a daily increase of 1.70% and a year-to-date increase of 14.52% [1][5] - The list also features companies like Midea Group (000333.SZ) and China Shenhua (601088.SH), which have year-to-date increases of 1.56% and 1.88%, respectively, with dividend yields of 5.09% and 7.95% [1][5] - The data is sourced from the Shanghai Stock Exchange and reflects the closing prices as of January 7, 2026, with dividend yields calculated up to January 6, 2026 [1][5]

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]

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]

（编辑 丛可心） 证券日报网讯 1月6日，上海银行在互动平台回答投资者提问时表示，公司遵循监管导向，聚焦主责主 业，不断提升核心竞争力和内在价值，着力深化高质量发展，同时把握资本市场机遇，积极加强与股 东、投资者和资本市场的交流，促进投资价值传递。 ...

Core Viewpoint - In 2025, a total of 6,521 fines were issued to 1,097 banking institutions in China, with a total penalty amount of 2.641 billion yuan, indicating a continued trend of stricter regulatory oversight in the financial sector [2][12]. Group 1: Penalty Statistics - Agricultural commercial banks received the highest number of fines, totaling 738, with Shenzhen Rural Commercial Bank receiving the largest fine among them [2][12]. - City commercial banks were issued 276 fines, with Shanghai Bank leading in the amount of fines [2][12]. - The total number of fines for both agricultural and city commercial banks accounted for 15.55% of the total fines, amounting to 875 million yuan [2][12]. Group 2: Reasons for Penalties - The top three reasons for penalties included violations in credit business (1,209 fines), inadequate internal control systems (752 fines), and violations of anti-money laundering regulations (697 fines) [2][12]. - Other reasons for penalties included violations in payment settlement, data reporting and governance, and inadequate employee behavior management [2][12]. Group 3: Major Fines in City Commercial Banks - Among 80 city commercial banks, Shanghai Bank, Beijing Bank, and Chongqing Three Gorges Bank had the highest penalty amounts, with fines of 37.31 million yuan, 35.40 million yuan, and 14.49 million yuan respectively [3][13]. - Shanghai Bank was penalized for multiple violations, including account management and anti-money laundering regulations, resulting in a total fine of 28.748 million yuan [4][14]. - Beijing Bank faced penalties for similar violations, with a total fine of 25.2685 million yuan [5][15]. Group 4: Major Fines in Agricultural Commercial Banks - In the agricultural commercial bank sector, Shenzhen Rural Commercial Bank, Chongqing Rural Commercial Bank, and Beijing Rural Commercial Bank received the largest fines, amounting to 12.84 million yuan, 11.65 million yuan, and 10.87 million yuan respectively [6][16]. - Shenzhen Rural Commercial Bank was fined for failing to comply with customer identity verification regulations and other violations, leading to a fine of 12.844 million yuan [7][17]. - Other banks, such as Foshan Rural Commercial Bank, also faced significant penalties for various violations, with fines reaching up to 8.8 million yuan [8][18]. Group 5: Regulatory Implications - The increasing number of fines highlights the need for city and agricultural commercial banks to strengthen internal management and compliance awareness to avoid future violations [9][19]. - Regulatory authorities are demonstrating a firm commitment to enhancing financial safety through stringent oversight [9][19].

上海银行股份有限公司 关于可转债转股结果暨股份变动公告 上海银行股份有限公司（以下简称"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。 证券代码：601229 证券简称：上海银行 公告编号：临 2026-001 可转债代码：113042 可转债简称：上银转债 经中国证券监督管理委员会《关于核准上海银行股份有限公司公开发行可转 换公司债券的批复》（证监许可〔2020〕3172 号）核准，公司于 2021 年 1 月 25 日公开发行了 20,000 万张可转换公司债券（以下简称"可转债"），每张面值 人民币 100 元，按面值发行，发行总额人民币 200 亿元，期限 6 年。 经上海证券交易所自律监管决定书〔2021〕52 号文同意，公司人民币 200 亿元可转债于 2021 年 2 月 10 日起在上海证券交易所挂牌交易，债券简称"上银 转债"，债券代码"113042"。 根据有关规定和《上海银行股份有限公司公开发行 A 股可转换公司债券募集 说明书》的约定，上银转债自 2021 年 7 月 29 日起可转换为公司 A 股 ...

Market Overview - The city commercial bank sector increased by 0.26% on January 5, with Hangzhou Bank leading the gains [1] - The Shanghai Composite Index closed at 4023.42, up by 1.38%, while the Shenzhen Component Index closed at 13828.63, up by 2.24% [1] Individual Bank Performance - Hangzhou Bank (600926) closed at 15.45, with a rise of 1.11% and a trading volume of 580,400 shares, amounting to a transaction value of 893 million yuan [1] - Chengdu Bank (601838) closed at 16.24, up by 0.74%, with a trading volume of 278,200 shares and a transaction value of 450 million yuan [1] - Beijing Bank (601169) closed at 5.52, increasing by 0.73%, with a trading volume of 1,428,800 shares and a transaction value of 787 million yuan [1] - Guizhou Bank (601997) closed at 5.91, up by 0.68%, with a trading volume of 255,700 shares and a transaction value of 151 million yuan [1] - Qindao Bank (002948) closed at 4.51, increasing by 0.67%, with a trading volume of 419,600 shares and a transaction value of 188 million yuan [1] - Jiangsu Bank (616009) closed at 10.46, up by 0.58%, with a trading volume of 1,271,800 shares and a transaction value of 1.331 billion yuan [1] - Xian Bank (600928) closed at 3.72, increasing by 0.54%, with a trading volume of 198,300 shares and a transaction value of 73.3 million yuan [1] - Zhengzhou Bank (002936) closed at 1.94, up by 0.52%, with a trading volume of 723,100 shares and a transaction value of 140 million yuan [1] - Lanzhou Bank (001227) closed at 2.33, increasing by 0.43%, with a trading volume of 290,200 shares and a transaction value of 67.5 million yuan [1] - Ningbo Bank (002142) closed at 28.15, up by 0.21%, with a trading volume of 271,700 shares and a transaction value of 764 million yuan [1] Capital Flow Analysis - The city commercial bank sector saw a net inflow of 380 million yuan from main funds, while retail funds experienced a net outflow of 134 million yuan [2] - The main funds' net inflow and outflow for individual banks include: - Jiangsu Bank (600919) had a net inflow of 10.4 million yuan, with a 7.78% share of main funds [3] - Shanghai Bank (601229) had a net inflow of 87.04 million yuan, with a 13.64% share of main funds [3] - Hangzhou Bank (600926) had a net inflow of 79.04 million yuan, with an 8.86% share of main funds [3] - Nanjing Bank (600000) had a net inflow of 67.86 million yuan, with a 9.68% share of main funds [3] - Ningbo Bank (002142) had a net inflow of 58.14 million yuan, with a 7.61% share of main funds [3] - Qilu Bank (601665) had a net inflow of 57.72 million yuan, with a 14.60% share of main funds [3] - Qingdao Bank (002948) had a net inflow of 22.18 million yuan, with an 11.82% share of main funds [3] - Suzhou Bank (002966) had a net inflow of 6.29 million yuan, with a 2.71% share of main funds [3] - Xiamen Bank (601187) had a net inflow of 520,450 yuan, with a 5.25% share of main funds [3] - Xian Bank (600928) had a net inflow of 287,550 yuan, with a 3.92% share of main funds [3]