中国银行间市场1天期质押式回购加权利率下跌2.42个基点，报1.3528%，为去年12月来新低。 1年期AAA评级同业存单利率周一回落至三周来最低。 ...

今天分享的是：中国银行：2025年人民币国际化白皮书 报告共计：35页 《中国银行：2025年人民币国际化白皮书》聚焦2024年人民币国际化进程，从政策支持、市场环境、跨境使用、离岸市场及多边合作等维度展开分析，展现 人民币国际化的多元进展与发展态势。 政策与市场环境：双向驱动国际化 政策层面，中国通过五大举措推动人民币跨境使用：一是在10省市试点跨国公司本外币一体化资金池业务，提升跨境收支便利化水平；二是优化"互换通"机 制，推出新利率互换合约及合约压缩服务，修订QFII跨境资金管理规定，深化金融市场开放；三是将"债券通"债券纳入香港金管局人民币流动性安排合格抵 押品，支持离岸市场发展；四是推动内地与香港支付系统互联互通，优化跨境移动支付，便利外籍人员支付；五是扩大双边本币互换合作，与29个国家和地 区签署协议，规模逾4万亿元人民币，维护区域金融稳定。 市场环境方面，2024年世界经济弱复苏，中国GDP增长5%突破130万亿元，货物贸易进出口总量增长5%至43.8万亿元，占全球12.5%，人民币汇率稳中有 升，CFETS汇率指数等温和上升，为人民币国际化奠定经济基础。 跨境使用与国际职能：规模与活跃度双提升 ...

从连续性进行统计， 有1只股获南向资金连续3天以上净买入，连续净买入天数较多的有美团-W，连续 净买入天数分别为16天。以其间净买入金额统计，净买入金额最多的是美团-W，合计净买入为175.27 亿港元。有3只股获连续净卖出，净卖出金额居前的有腾讯控股、小米集团-W、中芯国际等，合计净卖 出金额分别为80.54亿港元、56.31亿港元、6.27亿港元。（数据宝） 6月9日南向资金成交活跃股 | 代码 | 简称 | 成交金额（万港元） | 成交净买入（万港元） | 今日涨跌幅（%） | | --- | --- | --- | --- | --- | | 01801 | 信达生物 | 271750.94 | 112494.78 | 8.00 | | 03690 | 美团-W | 470002.94 | 104634.04 | 4.73 | | 02015 | 理想汽车-W | 108280.18 | 45205.40 | 2.74 | | 01093 | 石药集团 | 224175.92 | 40844.52 | -0.45 | | 01530 | 三生制药 | 67163.91 | 26521.08 | 8.1 ...

Core Viewpoint - The State Administration of Foreign Exchange (SAFE) has launched a new offshore international trade business background verification application scenario, initially piloted in several provinces, aimed at enhancing the authenticity verification of trade backgrounds for banks [1]. Group 1: New Application Scenario - The new application scenario integrates logistics data such as international cargo transportation, overseas port loading and unloading, and customs declaration, providing banks with enhanced capabilities for verifying logistics information and document endorsement [1]. - This initiative addresses the challenges of verifying the authenticity of new offshore international trade, marking an important exploration by SAFE [1]. Group 2: Pilot Implementation - The Bank of China Ningbo Branch successfully completed background verification for two foreign trade enterprises on the same day the pilot was launched, becoming one of the first financial institutions in Ningbo to utilize this new platform [1]. - Since the pilot began, the Bank of China Ningbo Branch has actively engaged in policy training and customer service to promote the new application features [1]. Group 3: Future Development - The Bank of China Ningbo Branch plans to continue leveraging its professional advantages and the innovative applications of the cross-border financial service platform to optimize service processes and expand the pilot program [2]. - The goal is to support the development of new offshore international trade businesses and contribute to high-quality regional economic development and open-up efforts [2].

智通财经APP获悉，2025年6月9日当天，美团-W(03690)、阿里巴巴-W(09988)、小米集团-W(01810)位 居沪港通（南向）成交额前3位，成交额分别为28.65 亿元、28.14 亿元、23.77 亿元；腾讯控股 (00700)、美团-W(03690)、小米集团-W(01810) 位居深港通（南向）成交额前3位，成交额分别为26.05 亿元、18.35 亿元、17.69 亿元。 沪港通（南向）十大活跃成交公司 | 公司名称 | 成交金额 | 净买入额 | | --- | --- | --- | | 美团-W(03690) | 28.65 亿元 | +6.20 亿元 | | 阿里巴巴-W(09988) | 28.14 亿元 | -9.16 亿元 | | 小米集团-W(01810) | 23.77 亿元 | -7.50 亿元 | | 腾讯控股(00700) | 22.40 亿元 | -8.15 亿元 | | 快手-W(01024) | 19.33 亿元 | -1.54 亿元 | | 泡泡玛特(09992) | 17.48 亿元 | -2.16 亿元 | | 中国银行(03988) | 14.56 ...

被视为债市"科技板"的科创债新政落地后，市场主体发行科创债的热度持续攀升。 以发行起始日计，5月7日新规落地后的首月（截至6月7日），已有221只科创债正式发行，募集资金规模超 4000亿元，同比增长3倍还多。 新获发行资质的银行、券商等金融机构共发行科创债2303亿元； 其中，16家银行发债超2000亿元，凭借五成以上的份额成为科创债的绝对主力与最大增量。 科创债起源于双创债实践，后为以科创公司债（交易所）与票据（银行间）为主要品种。 5月7日，央行、证监会联合提出丰富科创债产品体系的13条具体举措，通过金融机构与股权投资机构的双 重扩容，构建覆盖科创企业全生命周期的融资链条； 同日，交易商协会、银行间市场、三大交易所宣布优化科创债发行、交易等环节。 5月14日，科技部、央行等7个部门发布《加快构建科技金融体制有力支撑高水平科技自立自强的若干政策 举措》，再提建立债市"科技板"。 密集的新规推动下，科创债发行量持续走向高峰。 超3倍增量入市 科创债新政落地首月，新发科创债已达221只、募资4027亿元，两项数据同比增幅分别为130.21%、 322.12%。 科创债基于科创企业类、升级类、投资类、孵化类等属 ...

一、老年人不要被"保本高息""保证收益"等说辞迷惑。正规的"以房养老"是国家施行的"老年人住房反 向抵押养老保险"。具体来说，就是拥有房屋完全合法产权的老年人将房产抵押给保险公司，继续拥有 房屋占有、使用、收益和经抵押权人(保险公司)同意的处置权，并按照约定条件领取养老金直至身故。 老年人身故后，保险公司获得抵押房产处置权，处置所得将优先用于偿付养老保险相关费用。 在银行业普及金融知识万里行暨"普及金融知识 守住'钱袋子'"活动期间，中国银行重庆市分行向广大市 民推出"金融伴您行"系列知识分享，助力广大金融消费者增强维护自身合法权益的意识和能力，保障客 户权益，乐享安心生活。本期分享主题为《养老诈骗圈套多，老年消费者需谨慎》。 随着人口老龄化，越来越多的不法分子盯上了父母长辈们的"钱袋子"，利用"领取补助""扶贫""代理退 保""以房养老""投资理财"等方式"套路"诈骗老年消费者，严重侵害老年消费者合法权益。老年消费者 一定要提高风险防范意识，保护好自己的"养老钱"。 二、投资理财要选择正规机构和渠道。老年人要增强理性投资理财观念，谨记"投资有风险"，警惕各类 标榜"低风险、高回报"的投资理财项目，切勿受"高 ...

Core Viewpoint - The rapid growth of the artificial intelligence (AI) industry in China has led to a significant increase in financing, with the scale expanding from 30.07 billion yuan in 2015 to 105.25 billion yuan in 2024, representing a 3.5 times growth, while traditional banks face challenges in lending to AI companies due to their unique characteristics [1][2][3] Group 1: Financing Challenges - AI companies face three main difficulties: lack of fixed asset collateral, difficulty in technology valuation, and challenges in risk control, leading banks to be hesitant in lending [1][2] - The high innovation and financial risk associated with AI companies, particularly during their early stages, complicate their financing as substantial R&D expenditures can negatively impact profitability [2][3] - The long investment cycles and high capital requirements of AI companies do not align with traditional bank funding preferences, which favor short-term, low-risk projects [2][3] Group 2: Bank Initiatives - To support the AI industry, banks are enhancing their organizational structures, innovating credit products, and upgrading risk management practices [3][4] - China Bank has launched a plan to provide no less than 1 trillion yuan in comprehensive financial support for the AI industry over the next five years, with a specific focus on Shenzhen [3][4] - Banks are establishing specialized branches and centers to better serve technology companies, with China Bank leading the way by setting up a dedicated department for innovation finance [4][5] Group 3: AI's Impact on Banking - AI technology is transforming banking operations, enhancing marketing services, automating repetitive tasks, and improving risk management through data processing capabilities [5][6] - Tools like "Zhongyin Qiye Yida" and "Zhongyin Kechuang Kua Teng" are being utilized by banks to streamline client assessments and credit evaluations, significantly improving efficiency [6][7] Group 4: Multi-layered Financial Support - The establishment of a multi-layered financing system is crucial for supporting technological innovation, as traditional indirect financing has limitations for high-tech enterprises [7][8] - Successful cases like UBTECH and Yujian Technology illustrate the importance of a multi-tiered capital market in supporting AI companies from initial funding to IPO [7][8] - Recommendations include increasing bank support for unprofitable tech companies and enhancing the linkage between debt and equity financing to create a sustainable ecosystem for high-tech enterprises [8]

Core Viewpoint - The Bank of China Shanghai Branch has made significant advancements in offshore international trade business background verification, enhancing efficiency and convenience in cross-border trade operations [1][2] Group 1: Business Innovations - The Bank of China Shanghai Branch has implemented an online cross-border financial service platform that reduces the verification process from 1-2 working days to under 30 minutes [1] - The platform addresses industry pain points such as document traceability and slow bank verification, utilizing technology and data to improve foreign exchange compliance management [1][2] Group 2: Strategic Initiatives - The bank has established a trusted data-sharing mechanism among enterprises, banks, and regulatory authorities to ensure the authenticity of verification results [2] - The transition from traditional paper document review to an online contactless process has significantly enhanced review efficiency [2] - The upgraded risk control system employs intelligent comparison of order flow, cargo flow, and capital flow to accurately identify risks associated with fictitious trade backgrounds [2] Group 3: Future Outlook - The Bank of China Shanghai Branch aims to continue enhancing its cross-border financial services, focusing on innovative applications of the financial service platform to improve customer experience [2] - The bank is committed to contributing to the competitiveness and influence of the Shanghai International Financial Center and promoting high-quality economic development and openness [2]

Group 1 - The manufacturing industry is considered the foundation of a nation, and the Bank of China is actively supporting national strategies by focusing on key technologies and traditional industry upgrades, with a manufacturing loan balance exceeding 3.2 trillion yuan by April 2025, reflecting a cumulative growth of 120% since the 14th Five-Year Plan [1] Group 2 - The Bank of China is increasing credit support for strategic emerging industries such as integrated circuits, CNC machine tools, and biomedicine, aiming to achieve self-controllable core technologies [2] - In Henan, the Bank of China has customized financial service solutions for local advanced manufacturing clusters, with a manufacturing loan balance surpassing 100 billion yuan, supporting the province's strategic layout in emerging industries [2] - A 6.1 billion yuan project for silicon carbide power devices in Hubei is being supported by the Bank of China through a 2.4 billion yuan fixed asset loan syndicate, providing comprehensive financial services to fill the local industrial gap [2] Group 3 - The Bank of China is innovating financial service models to assist the manufacturing industry's transformation towards high-end, digital, and green development [3] - In Guangdong, the Bank of China is supporting petrochemical industry upgrades through a project approval green channel, maintaining a leading position in financing large equipment updates [3] - In Jiangsu, the Bank of China has established a special service team to support a leading electronic information company's digital transformation with a 4.4 billion yuan loan syndicate [3] - The Bank of China plans to continue innovating products and services to better align with the needs of manufacturing transformation and contribute to building a strong manufacturing nation [3]