首家总资产规模13万亿的股份制商业银行诞生。 21世纪经济报道记者 黄子潇 深圳报道 1月23日收盘后，招商银行（600036.SH、3968.HK）披露2025年度业绩快报。 2025年，招行实现营业总收入3375.32亿元，同比微增0.01%；归属于母公司股东的净利润1501.81亿元，同比增长1.21%。 2025年，招商银行前三季度的单季度营收同比变化分别为-3.08%、-0.36%、2.12%，全年同比微增0.01%；前三季度净利润同比变化分别 为-2.08%、2.67%、1.04%，全年增长1.21%。 这意味着，被称为"零售之王"的招行或已迎来业绩基本面拐点。 1月23日收盘，招商银行A股下跌0.92%，收于37.5元，跌幅大于银行板块，主力净流出6.72亿元，为板块内最大净流出个股；招商银行港股表 现相对稳健，收盘上涨0.22%，主力资金净流入2.04亿港元，显示境外资金仍具信心，未受A股情绪明显拖累。 资产质量方面，截至2025年年末，招行不良贷款率0.94%，较上年末下降0.01个百分点；拨备覆盖率391.79%，较上年末下降20.19个百分点； 贷款拨备率3.68%，较上年末下降0.24 ...

Investment Rating - The industry investment rating is "Buy" [2] Core Insights - The report provides a comprehensive analysis of 127 regional banks in Jiangsu Province, highlighting their asset and liability structures, profitability, and asset quality [6][18] - Jiangsu's regional banks have shown a significant increase in asset growth, with major city commercial banks growing at 19.4%, surpassing the growth of listed city commercial banks at 14.2% [24][26] - The report indicates that the loan-to-asset ratio for city commercial banks is projected to reach 48.4% in 2024, reflecting a gradual increase in lending activities [30] - Jiangsu's regional banks exhibit better return on assets (ROA) compared to listed banks, with city commercial banks outperforming by 16 basis points and rural commercial banks by 9 basis points [6][42] - The asset quality of Jiangsu's regional banks is superior to that of listed banks, with lower non-performing loan ratios and higher provision coverage ratios [6][42] Summary by Sections 1. Economic Structure of Jiangsu Province - Jiangsu Province is focusing on new industrialization and strategic emerging industries, with significant contributions from cities like Nanjing and Suzhou [13][14] 2. Overview of 127 Regional Banks in Jiangsu - The report categorizes the banks into city commercial banks, rural commercial banks, and others, with a total of 127 banks established between 2006 and 2015 [18][20] 3. Asset/Liability Structure - The asset growth of major city commercial banks is accelerating, while rural commercial banks are experiencing a decline in growth rates [24][26] - The loan-to-asset ratio for city commercial banks is expected to increase to 48.4% by 2024, indicating a shift towards more lending [30] 4. Profitability - Jiangsu's regional banks have a higher ROA compared to listed banks, with city commercial banks showing a 16 basis point advantage [6][42] 5. Asset Quality/Capital Levels - Jiangsu's regional banks maintain a lower non-performing loan ratio compared to listed banks, with city commercial banks having a 30 basis point lower ratio [6][42]

Core Viewpoint - CATL has announced its participation in an investment fund, marking a significant step in its investment strategy and compliance with regulatory requirements [1] Group 1: Fund Details - The investment fund "Boyu New Intelligence New Industry (Ningbo) Equity Investment Partnership (Limited Partnership)" has completed its private fund registration with the Asset Management Association of China on January 23, 2026 [1] - The fund's registration code is SBLV67, managed by Boyu Taoran (Shanghai) Equity Investment Management Co., Ltd., and custodied by Shanghai Pudong Development Bank Co., Ltd. [1] Group 2: Investment Commitment - CATL, as a limited partner, has committed to invest RMB 500 million, which represents 12.497% of the fund's total subscribed capital of RMB 4.001 billion after the first closing [1] - The completion of the fund's registration indicates that it is officially established and can begin compliant operations [1] Group 3: Future Disclosure - CATL will continue to disclose subsequent developments of the fund in accordance with relevant regulatory requirements [1]

Core Viewpoint - The AI Fund Wanjiashengli Quantitative Stock Selection Mixed Initiation A (019987) reported a profit of 112,600 yuan in Q4 2025, with a weighted average profit per fund share of 0.0216 yuan, and a net value growth rate of 2.21% during the reporting period [3]. Fund Performance - As of January 21, the fund's unit net value was 1.047 yuan, with a one-year cumulative growth rate of 12.17%, ranking 622 out of 673 comparable funds [3][4]. - The fund's net value growth rate over the past three months was 0.24%, ranking 617 out of 689, and over the past six months, it was 5.07%, also ranking 617 out of 689 [4]. Investment Strategy - The fund manager emphasized restructuring the dividend stock pool based on the characteristics of dividend stocks, integrating high-frequency volume and price strategies to capture micro-structural market information [3]. - The fund utilizes efficient AI algorithms and robust hardware resources to analyze high-frequency market data, aiming to identify short-cycle predictive factors for stock selection [3]. Risk and Return Metrics - The fund's Sharpe ratio since inception is 0.2818, indicating a moderate risk-adjusted return [8]. - The maximum drawdown since inception is 20.86%, with the largest quarterly drawdown occurring in Q1 2024 at 16.34% [11]. Portfolio Composition - The fund maintains a high average stock position of 92.53% since inception, compared to the industry average of 84.04%, with a peak stock position of 93.54% at the end of Q3 2024 [14]. - As of Q4 2025, the fund's total assets amounted to 5.4297 million yuan [16]. Top Holdings - The top ten holdings of the fund include companies such as Luxi Chemical, China Ping An, CITIC Bank, Xiamen Xiangyu, Sinopec, Zhonggu Logistics, China Construction Bank, Hu Nong Commercial Bank, China Petroleum, and Pudong Development Bank [19].

Group 1 - The total cross-border payment and receipt amount in Guangdong is projected to reach $2.5 trillion in 2025, with a year-on-year growth of 7.2%, and a net inflow of $289.3 billion, reflecting a 23.4% increase [1] - The scale of cross-border RMB settlement in Guangdong is expected to grow by 21.5% year-on-year in 2025, surpassing 50% of the total cross-border payment and receipt, marking a historical high in both settlement volume and proportion [1] - Shenzhen's total RMB cross-border payment and receipt amount is projected to reach CNY 5.83 trillion, maintaining its position as the largest cross-border settlement currency between Shenzhen and Hong Kong [1] Group 2 - In 2025, cooperation among banks in the Guangdong-Hong Kong-Macao Greater Bay Area is expected to strengthen, with 10 banks from the mainland collaborating with banks in Hong Kong and Macao for multi-business connections [2] - By the end of 2025, 70 banks, 28 securities companies, and 178,000 participants are involved in the "Cross-Border Wealth Management Connect" pilot, with cross-border RMB fund transfers amounting to CNY 131.3 billion [2] - The Free Trade Account system in Guangdong's Free Trade Zone has seen new banks like Shanghai Pudong Development Bank and China Merchants Bank join, with the total number of accounts reaching 12,800 by the end of 2025, a 2.2-fold increase in multi-functional free trade accounts since the beginning of the year [2]

- In the past two years, broad-based ETFs have experienced significant net outflows, with a cumulative net outflow of 534.63 billion yuan since 2026, including 267.32 billion yuan from CSI 300, 71.58 billion yuan from CSI 1000, 45.67 billion yuan from STAR 50, 49.11 billion yuan from SSE 50, and 33.39 billion yuan from ChiNext Index[3] - Since 2024, there have been four major net inflows of medium- and long-term funds through broad-based ETFs, mainly into CSI 300 (current retained market value of approximately 608.8 billion yuan), CSI 1000 (approximately 163.4 billion yuan), CSI 500 (approximately 137.7 billion yuan), and ChiNext Index (approximately 105.8 billion yuan)[3] - Medium- and long-term funds in Q3 2025 were heavily invested in banks (37% of market value), non-bank financials (19%), food and beverage (5%), construction (4%), and utilities (4%)[3] - The report provides detailed statistics on the net inflows and outflows of major broad-based ETFs, including CSI 300, CSI 500, CSI 1000, SSE 50, ChiNext Index, and others, with specific figures for each ETF[5] - The report includes a table estimating the current cost lines for major ETFs, showing the buy and sell cost lines for each round of net inflows and outflows, along with the retained market value and the current index price[7] - The report lists the top holdings of medium- and long-term funds in Q3 2025, including Agricultural Bank of China, Industrial and Commercial Bank of China, Ping An Insurance, Bank of China, and others, with specific market values and percentages[9] - The report notes that the data comes from periodic reports disclosed by listed companies, fund reports, and other sources, and that medium- and long-term funds include entities such as Central Huijin, China Securities Finance, and others[10]

证券之星消息，1月23日股份制银行板块较上一交易日下跌0.99%，中信银行领跌。当日上证指数报收于 4136.16，上涨0.33%。深证成指报收于14439.66，上涨0.79%。股份制银行板块个股涨跌见下表： 以上内容为证券之星据公开信息整理，由AI算法生成（网信算备310104345710301240019号），不构成投资建议。 从资金流向上来看，当日股份制银行板块主力资金净流出12.22亿元，游资资金净流出1.24亿元，散户资 金净流入13.46亿元。股份制银行板块个股资金流向见下表： | 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 | | --- | --- | --- | --- | --- | --- | --- | --- | | 600000 | 浦发银行 | 8006.70万 | 5.74% | -435.47万 | -0.31% | -7571.23万 | -5.43% | | 600016 | 民生银行 | 5879.42万 | 6.38% | 1650.86万 | 1.79% | -7530.28 ...

固收加锐不可当，延续增长 [Table_Authors] 刘玉(分析师) 25Q4 公募基金转债持仓分析 本报告导读： Q4 固收+规模延续增长态势，震荡市下小幅增配权益、明显增持金融债，在提升权 益暴露的同时控制波动。 投资要点： 债券研究 /[Table_Date] 2026.01.23 | | 021-38038263 | | --- | --- | | | liuyu6@gtht.com | | 登记编号 | S0880523050002 | | | 孙飞帆(研究助理) | | | 021-23185647 | | | sunfeifan@gtht.com | | 登记编号 | S0880125042242 | [Table_Report] 相关报告 带"负久期"特征的基金产品平均超额收益再测 算 2026.01.19 考虑政府债久期拉长与存款置换：大行 EVE 指标 空间再测算的四个要点 2026.01.15 长债供给放量，需要担忧资金收敛吗 2026.01.13 债券 ETF 持续缩量 2026.01.12 "负久期"、信用套息和地方债套保 2026.01.10 证 券 研 究 报 告 研 究 [ ...

Core Insights - The article discusses the evolving landscape of financial technology, particularly the integration of satellite technology into banking operations, highlighting the launch of satellites by major banks like China Merchants Bank and Shanghai Pudong Development Bank as a strategic move to enhance data sovereignty and risk management in supply chain finance [2][9]. Group 1: Satellite Launches and Applications - China Merchants Bank's "Zhaoyin Jinkui" and Shanghai Pudong Development Bank's "Puyin Shuzhi" satellites were launched to join the "Tianqi Constellation," enhancing low Earth orbit IoT capabilities and allowing direct data transmission to banks without third-party intermediaries [2][9]. - The "Tianqi Constellation" focuses on short data communication across various terrains, improving data transmission frequency and reducing latency, which is crucial for real-time monitoring of assets [11][25]. - The integration of satellite technology into banking operations marks a significant shift from traditional data procurement methods, with banks now investing in their own satellite capabilities to gain greater control over data [17][23]. Group 2: Differentiation in Banking Strategies - Banks are diverging into two main strategies: the "Launchers," who invest in satellite hardware, and the "Buyers," who rely on algorithms and purchased data services [6][7]. - The "Launchers" include banks like China Merchants Bank and Ping An Bank, which have already deployed satellites to enhance their risk management frameworks [9][16]. - The "Buyers," represented by institutions like WeBank and CITIC Financial Assets, utilize satellite imagery for agricultural financing and project monitoring without owning the satellites themselves [12][14]. Group 3: Cost Dynamics and Strategic Implications - The decreasing costs of commercial space technology have made satellite launches more feasible for banks, with estimates suggesting that customized satellites can be developed for between millions to tens of millions of RMB [22][21]. - The ability to customize satellite payloads allows banks to meet specific operational needs, such as monitoring construction projects or environmental conditions, thus enhancing their risk assessment capabilities [23][28]. - By establishing their own satellite networks, banks can create a more resilient infrastructure for financial services, particularly in disaster recovery scenarios, ensuring business continuity [28][29]. Group 4: Ecosystem Development and Future Outlook - The collaboration between banks and commercial space companies is fostering a new ecosystem where financial institutions can leverage satellite technology to improve service offerings and operational efficiency [31]. - The integration of satellite data into banking operations is expected to redefine competitive dynamics in supply chain finance and cross-border transactions, positioning banks that effectively utilize this technology as leaders in the market [29].

Core Insights - Guangdong's cross-border RMB settlement scale ranked among the top three provinces in China in 2025, with a year-on-year growth of 21.5%, accounting for over 50% of the total cross-border receipts and payments in both domestic and foreign currencies, reaching a historical high in both settlement volume and proportion [1] Group 1: Cross-Border RMB Settlement - The People's Bank of China in Guangdong has been promoting RMB internationalization through trade and financial openness, optimizing services and innovating systems [1] - The bank has upgraded the "Convenience Scheme for Cross-Border RMB Settlement for Quality Enterprises," allowing for a shift from "pre-transaction review" to "post-transaction random checks," significantly improving fund turnover efficiency by saving 2-3 hours of preparation time per transaction [1] Group 2: Support for E-commerce and Global Trade - Guangdong, as the largest cross-border e-commerce province in China, has focused on enhancing the funding chain for "buying global and selling global," collaborating with leading payment institutions to reduce exchange fees for small and micro e-commerce sellers [2] - In 2025, new business entities processed RMB settlements exceeding 800 billion yuan, accounting for over 90% of the total cross-border settlement volume [2] Group 3: Belt and Road Initiative and Regional Cooperation - The bank facilitated nearly 500 Guangdong enterprises in connecting with overseas banks to address settlement challenges in Africa, Southeast Asia, and Latin America, leading to a significant increase in RMB settlement volume in these regions, with the regional structure proportion rising to 36.9% [2] Group 4: Free Trade Account System and Cross-Border Wealth Management - The free trade account system in Guangdong has expanded, with 12,800 accounts opened by the end of 2025, and the number of multi-functional free trade accounts increasing by 2.2 times since the beginning of the year [3] - The "Cross-Border Wealth Management Connect" mechanism has deepened, with 10 banks in mainland China collaborating with banks in Hong Kong and Macau, facilitating a cross-border RMB fund transfer scale of 131.3 billion yuan involving 70 banks and 28 securities companies by the end of 2025 [3]