China Everbright Bank Company Limited 香港交易及結算所有限公司及香港聯合交易所有限公司對本通知的內容概不負責，對其 準確性或完整性亦不發表任何聲明，並明確表示，概不對因本通知全部或任何部份內容 而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 茲通知中國光大銀行股份有限公司（「本公司」）謹訂於2025年11月14日（星期五）下午3時正 於中國北京市西城區太平橋大街25號中國光大中心A座三樓會議室舉行2025年第三次臨時 股東大會（「臨時股東大會」），考慮並酌情通過下列決議案： 普通決議案 - 1 - 1. 關於為關聯法人光大證券股份有限公司核定綜合授信額度的議案 2. 關於為關聯法人中國光大控股有限公司核定授信額度的議案 3. 關於選舉中國光大銀行股份有限公司第十屆董事會非執行董事的議案 3.1 選舉吳利軍先生為非執行董事 3.2 選舉崔勇先生為非執行董事 3.3 選舉趙晶晶女士為非執行董事 3.4 選舉姚威先生為非執行董事 3.5 選舉張銘文先生為非執行董事 3.6 選舉李巍先生為非執行董事 中國光大銀行股份有限公司 董事會 6818 2025年第三次臨時股東大會通 ...

银行信用卡业务迎来一系列新调整！ 近期，工商银行、光大银行等多家银行密集调整信用卡分期业务规则，其中，光大银行直接宣布下线自选分期功能，工商银行则 缩减长期分期期数，一系列动作引发市场广泛关注。这场覆盖多家全国性银行的信用卡业务调整，究竟释放了怎样的行业信号？ 《金融时报》记者注意到，在此次调整中，光大银行的动作最为彻底。根据该行10月22日发布的公告，自2025年12月9日起，该 行将正式下线"自选分期"业务，届时，光大银行将对所有已开通该功能的信用卡统一做功能关闭处理，新入账交易不再自动分 期。 记者查阅光大银行《自选分期业务协议》了解到，该行自选分期原本是"一刀切"式的自动分期服务，在持卡人开通此项服务后， 每一笔消费交易都会被默认分为12期进行还款，每期手续费为0.5%-0.8%。 工商银行客服人员向记者补充说道，此次调整不影响已办理的长期分期业务，但新业务将严格执行期数上限。 "在自选分期开通的情况下，您使用信用卡消费，正常单笔消费金额达100元人民币及以上（或20美元/欧元及以上）都会默认分为 12期（每期为一个月）。每期也会收取对应的分期利息。"光大银行客服人员进一步对记者解释称，"我行自202 ...

流动性方面，截止10月28日，港股通红利低波ETF（520890）近20个交易日累计成交金额13.11亿元，日 均成交金额6555.45万元；今年以来，197个交易日，累计成交金额35.52亿元，日均成交金额1803.06万 元。 港股通红利低波ETF（520890）现任基金经理为李茜。李茜自2024年9月4日管理（或拟管理）该基金， 任职期内收益45.70%。 来源：新浪基金∞工作室 最新定期报告显示，港股通红利低波ETF（520890）重仓股包括首钢资源、兖矿能源、兖煤澳大利亚、 VTECH HOLDINGS、工商银行、深圳国际、中国光大银行、中国神华、中煤能源、中国电力，持仓占 比如下。 10月28日，港红利（520890）收盘跌0.89%，成交额3799.19万元。 股票代码股票名称持仓占比持仓股数（股）持仓市值（元）00639首钢资源3.76%128.00万331.89万 01171兖矿能源2.94%28.00万260.24万03668兖煤澳大利亚2.90%10.41万256.61万00303VTECH HOLDINGS2.76%4.26万243.86万01398工商银行2.41%40.60万212 ...

商业银行信用卡业务正迈入存量竞争与深度转型的关键阶段。近期，光大银行、工商银行等多家机构密 集对信用卡分期业务规则进行调整，从特定分期功能下线到分期期数缩减，一系列调整动作引发市场关 注。 10月22日，光大银行发布公告明确，将于2025年12月9日（含）起正式下线"自选分期"业务。届时，该 行将对该日期前已申请开通"自选分期"功能的信用卡统一关闭该功能，新入账交易不再进行自动分期处 理。公告同时明确，未结清的分期交易不受此次调整影响。工商银行于10月21日发布业务调整提示，将 对信用卡账单分期、消费转分期业务的期数进行优化，停办36期（不含）以上的长期分期业务，此次调 整将于2025年12月5日正式生效。多家银行的密集动作勾勒出行业调整的清晰脉络。 事实上，多重因素迫使银行调整分期业务规则。一是落实监管要求，筑牢合规底线。近年来监管部门持 续强化信用卡业务监管，从清理"睡眠卡"、强制标示实际年化利率，到严防过度授信、阻断资金违规流 入股市楼市等禁止性领域，一系列举措推动银行回归合规经营轨道。二是优化信贷结构，严控金融风 险。在经济波动周期，部分客户还款能力出现下滑，信用卡不良率呈上升趋势，银行通过调整分期费 ...

证券时报•数据宝统计显示，光大银行今日收盘价为3.53元，平盘报收，日换手率为0.96%，成交额为 15.67亿元，全天主力资金净流出3672.18万元，近5日该股累计上涨1.73%，近5日资金合计净流出 7732.68万元。 两融数据显示，该股最新融资余额为19.75亿元，近5日减少3307.14万元，降幅为1.65%。（数据宝） 10月27日光大银行大宗交易一览 | 成交量 | 成交金 | 成交价 | 相对当日 | | | | --- | --- | --- | --- | --- | --- | | （万 | 额 | 格 | 收盘折溢 | 买方营业部 | 卖方营业部 | | | （万 | | 价 | | | | 股） | 元） | （元） | （%） | | | | 668.00 | 2591.84 | 3.88 | 9.92 | 兴业证券股份有限公司青岛 | 国泰海通证券股份有限公司青岛南京路 | | | | | | 分公司 | 证券营业部 | 注：本文系新闻报道，不构成投资建议，股市有风险，投资需谨慎。 （原标题：光大银行10月27日大宗交易成交2591.84万元） 光大银行10月27日大宗交易平台 ...

Core Viewpoint - The Invesco Great Wall National Index Hong Kong Stock Connect Dividend Low Volatility ETF (159569) has shown significant growth in both share volume and fund size in 2024, indicating strong investor interest and performance [1][2]. Fund Overview - The fund was established on August 14, 2024, with an annual management fee of 0.50% and a custody fee of 0.08% [1]. - As of October 24, 2024, the fund's share volume reached 243 million, with a total size of 334 million yuan [1]. - Year-to-date, the fund's share volume has increased by 114.89%, and its size has grown by 158.55% compared to December 31, 2024 [1]. Liquidity Analysis - Over the last 20 trading days, the ETF has accumulated a total trading volume of 807 million yuan, averaging 40.34 million yuan per day [1]. - Since the beginning of the year, the total trading volume has reached 7.729 billion yuan, with an average daily trading volume of 39.43 million yuan over 196 trading days [1]. Fund Management - The current fund managers are Gong Lili and Wang Yang, with Gong managing the fund since August 29, 2024, achieving a return of 40.59%, while Wang has managed it since August 13, 2025, with a return of 0.07% [2]. Top Holdings - The ETF's top holdings include: - Orient Overseas International: 9.65% [3] - China COSCO Shipping: 7.14% [3] - Yancoal Australia: 5.43% [3] - Yanzhou Coal Mining: 4.73% [3] - Seaspan Corporation: 4.36% [3] - China Hongqiao Group: 3.10% [3] - Sinopec: 3.08% [3] - CNOOC: 3.03% [3] - Minsheng Bank: 3.01% [3] - China Everbright Bank: 3.01% [3]

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 进一步统计，近3个月内该股累计发生2笔大宗交易，合计成交金额为2917.9万元。该股近5个交易日累 计上涨1.73%，主力资金合计净流出2271.77万元。 责任编辑：小浪快报 第1笔成交价格为3.88元，成交668.00万股，成交金额2,591.84万元，溢价率为9.92%，买方营业部为兴 业证券股份有限公司青岛分公司，卖方营业部为国泰海通证券股份有限公司青岛南京路证券营业部。 10月27日，光大银行平收，收盘价为3.53元，发生1笔大宗交易，合计成交量668万股，成交金额2591.84 万元。 ...

Core Viewpoint - The A-share listed banks are expected to show overall revenue and net profit growth in the third quarter of 2025, with improvements in asset quality and a narrowing decline in net interest margins [1][2][3]. Group 1: Financial Performance - Huaxia Bank reported operating income of 64.881 billion yuan, a year-on-year decrease of 8.79%, and net profit attributable to shareholders of 17.982 billion yuan, down 2.86%, with a narrowing decline of 5.09 percentage points compared to the first half of the year [1]. - Chongqing Bank achieved operating income of 11.740 billion yuan, a year-on-year increase of 10.40%, and net profit of 5.196 billion yuan, up 10.42% [2]. - Ping An Bank reported operating income of 100.668 billion yuan, a year-on-year decrease of 9.8%, and net profit of 38.339 billion yuan, down 3.5%, with a narrowing decline compared to the first half of the year [2]. Group 2: Market Trends - Ten banks have seen shareholding increases from shareholders and executives this year, indicating a positive outlook for the banking sector amid macroeconomic stabilization and easing monetary policy [3]. - Analysts expect cumulative revenue and net profit for listed banks in the first three quarters of 2025 to grow by 0.4% and 1.1% year-on-year, respectively, driven by a narrowing decline in net interest margins and reduced credit costs [3]. Group 3: Interest Margin Outlook - Zhongtai Securities suggests that the net interest margin for banks may stabilize in the third quarter due to reduced re-pricing pressure on assets and a greater decline in deposit rates compared to the Loan Prime Rate (LPR) [4]. - The projected increase in net interest margin for the third and fourth quarters is 0.7 basis points and 0.3 basis points, respectively, indicating stability in the banking sector [4]. Group 4: Related Stocks - Goldman Sachs reported that the A-shares and H-shares of major banks have recorded absolute returns of 12% and 21% year-to-date, driven by improvements in asset quality and narrowing declines in net interest margins [5]. - Ping An Insurance increased its stake in Postal Savings Bank, acquiring 6.416 million shares at an average price of 5.3638 HKD per share [6].

Core Insights - The article emphasizes the abundance of bank wealth management products with similar names and vague characteristics, urging investors to carefully select and differentiate among them [1] - The South Finance Wealth Management team aims to reduce investors' selection costs by focusing weekly on the performance of wealth management products available through various distribution channels [1] Summary by Category Performance Rankings - The current focus is on the performance of public offering products with a minimum holding period in RMB, categorized by holding periods of 7 days, 14 days, 30 days, and 60 days, with annualized returns as the performance metric [1] - The ranking includes 28 distribution institutions such as Industrial and Commercial Bank of China, Bank of China, Agricultural Bank of China, and others [1] Product Availability - The list of products is based on their "on-sale" status, which is determined by their investment cycle; however, actual availability may vary due to factors like sold-out quotas or differences in product listings for different customers [1] - Investors are advised to refer to the actual display on the distribution bank's app for the most accurate information [1] Weekly Updates - The article provides a weekly update on the performance of wealth management products, with specific attention to the lowest holding period products for the week of October 27 to November 2 [5][8][11]

Core Viewpoint - The ongoing trend of credit card debt transfer among banks is a response to rising non-performing loans and capital pressure, aiming for both short-term risk clearance and long-term credit structure optimization [1][5]. Group 1: Credit Card Debt Transfer Activities - Multiple banks, including Ping An Bank, SPDB, Ningbo Bank, and Huaxia Bank, have announced batch transfers of credit card debts to local asset management companies (AMCs) [3][4]. - Ping An Bank has issued four announcements in October alone regarding the transfer of credit card debts, emphasizing the obligation of debtors to repay the new creditors [3][4]. - The trend is not isolated, as SPDB and Ningbo Bank have also engaged in similar debt transfer agreements with AMCs, highlighting a collective industry movement [4][5]. Group 2: Industry Context and Trends - The transfer of credit card non-performing loans has become a norm in the industry, driven by stricter regulations and rising non-performing loan rates [7][9]. - Data from the first quarter of 2025 indicates that the scale of personal non-performing loan transfers reached 37.04 billion, a year-on-year increase of 7.6 times, with credit card overdrafts accounting for 5.19 billion [8]. - The efficiency of batch transfers compared to traditional collection methods is noted, as it allows banks to quickly offload non-performing assets and reduce capital occupation [9][10]. Group 3: Financial Health and Risk Management - As of mid-2025, the total non-performing credit card loans across 11 banks reached 162.69 billion, with a year-to-date increase of 5.885 billion [10][11]. - The rise in non-performing loans is attributed to aggressive card issuance practices and economic pressures affecting borrowers' repayment capabilities [10][11]. - Differentiated strategies for managing non-performing assets are recommended, with larger banks advised to explore asset securitization while smaller banks focus on batch transfers [11][12]. Group 4: Recommendations for Future Management - To achieve long-term non-performing asset clearance, banks must enhance their risk management frameworks, focusing on credit assessment and customer education [12]. - The implementation of technology in risk management, such as AI for predictive modeling and monitoring, is suggested to improve efficiency in identifying potential defaults [12].