r tra @ 0 客服热线：95559 ‍‍ 【第138届广交会蓄势待发 交通银行邀您共赴盛会】第138届中国进出口商品交易会（广交会）将于10 月15日在广州盛大开幕，"中国第一展"将再以开放包容之姿，迎接全球客商汇聚。本届广交会规模再创 新高——155万㎡展览面积、7.46万个展位、超3.2万家参展企业，还有约3600家 "新面孔" 首次亮相，每 一组数据都藏满商机。作为广交会 "全面战略合作伙伴"，交通银行始终扛起国有大行责任担当，积极 响应 "广交世界、互利天下" 的理念，以高效、便捷、多元的金融服务，为全球客商拓展商机保驾护 航。倒计时的钟声已响，交通银行邀您一同赴会，共启合作新篇。 ...

Core Viewpoint - The recent announcement by Bank of China to gradually shut down its "Bountiful Life" app and migrate its functions to the main "Bank of China" app highlights a shift in the credit card app landscape, moving from smaller banks to major state-owned banks amid a backdrop of declining credit card business and cost-cutting measures in the banking industry [1][5][17]. Summary by Sections Credit Card App Shutdown - Bank of China announced the gradual shutdown of its "Bountiful Life" app, which will have all its functions transferred to the main "Bank of China" app [1]. - This trend of shutting down credit card apps is not new, as several banks, including Shanghai Rural Commercial Bank and Beijing Rural Commercial Bank, have previously made similar moves [5]. Market Dynamics - The credit card app market is experiencing increasing differentiation, with a clear ranking in monthly active users [7]. - As of June 2025, the top 20 credit card apps include 5 state-owned banks, 9 joint-stock banks, and 2 city commercial banks, with the highest monthly active users exceeding 14 million for several apps [7][8]. - Bank of China's "Bountiful Life" app had only 1.55 million monthly active users, ranking 13th among state-owned bank credit card apps [7][9]. Credit Card Loan Scale - State-owned banks maintain a significant advantage in credit card loan scales, with China Construction Bank being the only bank with a credit card loan scale exceeding 1 trillion yuan, reaching 1,054.95 billion yuan as of June [10][11]. - Other major state-owned banks also report credit card loan scales above 500 billion yuan, while joint-stock banks like China Merchants Bank show strong performance with a credit card loan balance of 924.49 billion yuan [10][11]. User Engagement and Competition - The focus of credit card apps has shifted from acquiring new customers to retaining existing ones, as many consumers already hold multiple credit cards [14][15]. - The competition for user engagement is intensifying, with various lifestyle service apps entering the market, making it challenging for credit card apps to attract new users [15][19]. Operational Efficiency - The closure of independent credit card apps reflects a broader trend towards centralized management of banking channels [17]. - Regulatory guidance has prompted banks to streamline their mobile applications, focusing on user engagement and operational efficiency [18][19].

从资金流向上来看，当日国有大型银行板块主力资金净流入5.97亿元，游资资金净流出2.4亿元，散户资 金净流出3.57亿元。国有大型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 | | --- | --- | --- | --- | --- | --- | --- | --- | | 601288 农业银行 | | 6.07亿 | 15.48% | -2.09亿 | -5.33% | -3.98 Z | -10.15% | | 601328 交通银行 | | 4932.23万 | 3.15% | -5006.66万 | -3.20% | 74.43万 | 0.05% | | 601398 工商银行 | | 2072.15万 | 0.72% | -3229.04万 | -1.12% | 1156.89万 | 0.40% | | 601939 建设银行 | | -631.05万 | -0.50% | 7359.97万 | 5.82% | -6728.92万 | -5.32% | | 601988 ...

记者丨 李览青 编辑丨周炎炎 尽管信用卡App关停已不是新鲜事，但这次"聚光灯"下的主角从股份行、城农商行变成了国有 大行。 9月28日，中国银行信用卡官方公众号发布公告， 宣布逐步关停"缤纷生活"App ，并将其全部 功能逐步迁移至"中国银行"App，引发市场关注。 （中国银行信用卡官方微信公众号推文截图） 一直以来，链接线上与线下渠道的信用卡App都承载着两大任务。 一方面是通过生活类服务触 达线下日常消费场景，基于线下获客拓展向线上渠道引流；另一方面是基于用户在App中的行 为分析形成数字化标签体系，描绘信贷用户画像，既为线下合作消费场景提供流量，也能与全 行信贷业务形成整体合力，实现"千人千面"的金融服务。 然而，在信用卡业务缩水、银行业整体降本增效的大背景下，自营信用卡App这一渠道逐渐变 得"不划算"了。 去年以来，上海农商银行、北京农商银行、渤海银行等 多家银行先后宣布关 停信用卡App ，并将相应功能迁移至本行手机银行App。 市场分化加剧 无论从市场份额还是流量排序来看，各行信用卡业务的分化还在加剧。 易观千帆发布的最新数据显示， 信用卡类App月活跃用户规模排名呈现明显的梯队分化。 202 ...

Core Viewpoint - The banking sector has experienced a notable rebound, with regional banks gaining favor, particularly led by Shanghai Pudong Development Bank, which rose by 5.66% on October 13, amidst a broader market correction [1][2]. Summary by Sections Market Performance - The China Securities Banking Index increased by 0.75% on October 13, with Shanghai Pudong Development Bank leading the gains [1][2]. - Other banks such as Chongqing Rural Commercial Bank and Nanjing Bank also saw significant increases of over 4% and 3%, respectively [1][2]. - In contrast, many state-owned banks experienced declines, with Postal Savings Bank down by 0.88% and Industrial and Commercial Bank down by 0.55% [2]. Investment Trends - The recent rally in bank stocks is attributed to a shift in market sentiment, with funds seeking temporary safe havens, leading to a preference for regional banks over larger state-owned banks [1][5]. - The banking sector has seen a cumulative decline of 14% since July, while the Shanghai Composite Index and CSI 300 Index have risen over 11% and 15%, respectively [3]. Economic Impact - The announcement of additional tariffs on Chinese goods by the U.S. is expected to have a controllable impact on banks, particularly affecting regional banks with higher exposure to foreign trade [6]. - The report from Galaxy Securities suggests that while the overall impact on banks is manageable, regional banks reliant on export-oriented businesses may face increased risks [6]. Future Outlook - Analysts predict that the upcoming dividend distribution period and stable bank performance may present opportunities for a rebound in bank stocks if market sentiment stabilizes [7]. - The banking sector's price-to-book (PB) ratio has fallen to 0.67, indicating potential value for investors, especially given the average dividend yield of state-owned banks at 4.11% [7][8].

智通财经记者 | 安震 "村改支"又有新进展。 农行再推"村改支" 监管批复显示，同意农业银行收购浙江永康农银村镇银行并设立中国农业银行永康金山支行、中国农业 银行永康胡库支行、中国农业银行永康后城街支行。 值得注意的是，此前，农业银行已有"村改支"案例，9月4日，国家金融监管总局厦门监管局已核准农业 银行的另一项"村改支"方案，同意农业银行收购厦门同安农银村镇银行并设立其为中国农业银行厦门大 同支行。 事实上，上述两个案例中，被收购的村镇银行均为农业银行深度参与。根据农业银行2025年中期报告， 该行控股6家村镇银行，其中包括上述被收购的浙江永康农银村镇银行和厦门同安农银村镇银行，其余4 家为湖北汉川农银村镇银行、克什克腾农银村镇银行、安塞农银村镇银行、绩溪农银村镇银行。 重庆璧山工银村镇银行成立于2009年12月。根据工商银行2025年半年报显示，其控股的两家村镇银行分 别为重庆璧山工银村镇银行与浙江平湖工银村镇银行，持股比例分别为100%、60%。若此次"村改 支"顺利完成后，工商银行控股的村镇银行将由2家变为1家。 10月11日，国家金融监管总局金华监管分局发布批复，同意农业银行收购浙江永康农银村镇银 ...

- Model Name: Expected High Dividend Portfolio; Model Construction Idea: The model uses a two-stage approach to construct the expected dividend yield indicator. The first stage calculates the dividend yield based on the annual report's profit distribution, and the second stage predicts and calculates the dividend yield using historical dividends and fundamental indicators. Additionally, two short-term factors affecting dividend yield—reversal factor and profitability factor—are used to assist in screening, and the selection is made from the CSI 300 constituent stocks to construct the expected high dividend portfolio. The portfolio holds 30 stocks each period and rebalances monthly[3][8] - Model Construction Process: 1. Exclude suspended and limit-up stocks from the CSI 300 constituent stocks to form the candidate stock pool[13] 2. Exclude the top 20% of stocks with the highest short-term momentum (i.e., the top 20% of stocks with the highest 21-day cumulative gains) from the stock pool[13] 3. Exclude stocks with declining profitability (i.e., stocks with a negative year-on-year growth rate of quarterly net profit)[13] 4. Rank the remaining stocks in the stock pool by expected dividend yield and select the top 30 stocks with the highest expected dividend yield to construct the portfolio equally weighted[9] - Model Evaluation: The model's historical performance is outstanding, with a cumulative return of 358.90% and a cumulative excess return of 107.44% relative to the CSI 300 Total Return Index. The annualized excess return is 8.87%, with a maximum rolling one-year drawdown of only 12.26% and a monthly excess win rate of 60.19%[11] Model Backtest Results - Expected High Dividend Portfolio, average return in September 2025: -5.35%, underperformed the CSI 300 Index by 8.09% and the CSI Dividend Index by 3.87%[3][14] - Best performing stocks in September 2025: CITIC Special Steel (3.81%), Yutong Bus (-0.35%), Industrial and Commercial Bank of China (-1.75%), Shuanghui Development (-1.90%)[15] Factor Construction and Evaluation - Factor Name: Expected Dividend Yield Factor; Factor Construction Idea: The factor is constructed by predicting dividend distribution using the method of dividend distribution combined with fundamental indicators. Two short-term factors affecting dividend yield—reversal factor and profitability factor—are used to assist in screening[14] - Factor Construction Process: 1. Calculate the dividend yield based on the annual report's profit distribution[8] 2. Predict and calculate the dividend yield using historical dividends and fundamental indicators[8] - Factor Evaluation: The factor is used to assist in screening and constructing the expected high dividend portfolio, which has shown outstanding historical performance[3][8] Factor Backtest Results - Expected Dividend Yield Factor, average return in September 2025: -5.35%, underperformed the CSI 300 Index by 8.09% and the CSI Dividend Index by 3.87%[3][14]

Core Insights - The article discusses the diverse range of bank wealth management products available, emphasizing the need for investors to discern and select suitable options amidst similar-sounding and vaguely characterized products [1] - The South Finance Wealth Management team compiles a weekly performance ranking of wealth management products sold through various distribution channels, focusing on those with outstanding performance [1] - The ranking criteria include product type, specifically targeting pure fixed income, "fixed income plus," and mixed products, along with performance stability, requiring a minimum of three months of performance data [1] Product Performance Summary - The ranking showcases annualized performance over the past month, three months, and six months, sorted by the three-month annualized return to reflect multidimensional performance during recent market fluctuations [1] - The current focus is on pure fixed income products issued by wealth management companies, highlighting those available for investors through distribution channels [1] Distribution Institutions - A total of 28 distribution institutions are mentioned, including major banks such as Industrial and Commercial Bank of China, Bank of China, Agricultural Bank of China, and others [2] - The ranking's assessment of the "on-sale" status of wealth management products is based on their investment cycle, but actual availability may vary due to factors like sold-out quotas or differences in product listings for different customers [2] Performance Data - The article provides specific performance data for various wealth management products, including annualized returns and investment periods, with notable products listed from institutions like Bank of China and Minsheng Bank [5][7][10] - For instance, products from Bank of China show annualized returns ranging from 5.40% to 8.53% over different holding periods, indicating competitive performance in the current market [5][10]

Core Insights - The article focuses on the performance of bank wealth management products with varying minimum holding periods, specifically highlighting the annualized returns of these products to assist investors in making informed choices [1][2]. Summary by Categories 7-Day Holding Period Products - The top-performing product is from Huaxia Bank, with an annualized return of 16.86% [4]. - Other notable products include: - Minsheng Bank's "Fuzhu Pure Bond" at 13.12% [4]. - Minsheng Bank's "Guizhu Fixed Income" at 12.94% [4]. - Bank of China’s "Stable Wealth High-Grade Pure Bond" at 11.45% [4]. 14-Day Holding Period Products - Minsheng Bank's "Guizhu Fixed Income" leads with a return of 13.71% [7]. - Other significant products include: - Minsheng Bank's "Fuzhu Pure Bond" at 10.97% [7]. - Bank of China's "Stable Wealth Fixed Income" at 9.67% [7]. 30-Day Holding Period Products - Minsheng Bank's "Fuzhu Pure Bond" has an annualized return of 9.51% [9]. - Other key products include: - Minsheng Bank's "Guizhu Fixed Income" at 8.99% [10]. - Bank of China's "Stable Wealth Preferred" at 7.13% [10]. 60-Day Holding Period Products - Bank of China's "Smart Wealth Index Tracking Strategy" tops the list with a return of 23.99% [12]. - Other notable products include: - Minsheng Bank's "Fuzhu Pure Bond" at 7.48% [12]. - Bank of China's "Stable Wealth Credit Selection" at 6.31% [12].

Core Viewpoint - The recent trend of banks redeeming "perpetual bonds" is driven by historically low market interest rates, prompting banks to replace older, higher-rate bonds with new, lower-rate issues [1][3]. Redemption Scale - As of October 11, 2023, banks have redeemed a total of 80 "perpetual bonds" this year, with the redemption amount exceeding 1 trillion yuan, reaching 1,009.58 billion yuan, which is close to the total redemption scale of the previous year [2][3]. - Notable redemptions include China Bank redeeming a 600 billion yuan bond and Everbright Bank redeeming a 400 billion yuan bond, both issued in 2020 [2]. Interest Rate Comparison - The bonds being redeemed were generally issued in 2020 with interest rates ranging from 4.2% to 5.4%, while newly issued bonds this year have interest rates between 1.88% and 2.90% [3]. Market Dynamics - The redemption of older bonds is interpreted as a sign of banks' operational stability and liquidity, which can enhance market reputation and investor confidence [3]. - The trend of "redeeming old for new" is not uniform across all banks; some smaller banks are opting not to redeem due to capital adequacy concerns [4][5]. Differentiation in Redemption - Smaller banks, particularly those with weaker asset quality and profitability, are less likely to redeem bonds, as doing so could negatively impact their capital adequacy ratios [4]. - Despite this, over 30 regional small and medium-sized banks have actively issued "perpetual bonds" since the second quarter, totaling over 100 billion yuan [4][5]. Future Outlook - The issuance trend of "perpetual bonds" is expected to diverge, with larger and more reputable banks likely to continue taking advantage of lower interest rates, while smaller banks may face increased challenges in issuing new bonds [5].