1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - Among the bonds with discounted transactions, "25 Grid MTN024" had a relatively large deviation in bond valuation price. Among the bonds with rising net prices, "25 Qingdao Chengyang MTN002" led in terms of valuation price deviation. Among the Tier 2 and perpetual bonds with rising net prices, "22 Nanjing Bank Perpetual Bond 01" had a relatively large deviation in valuation price; among the commercial financial bonds with rising net prices, "23 Agricultural Bank of China Three - Rural Bond" led in terms of valuation price deviation. Among the bonds with a transaction yield higher than 5%, real - estate bonds ranked high. The changes in credit bond valuation yields were mainly distributed in the (0,5] interval. The transaction terms of non - financial credit bonds were mainly distributed between 2 and 3 years, with the 0.5 - 1 - year variety having the highest proportion of discounted transactions; the transaction terms of Tier 2 and perpetual bonds were mainly distributed between 4 and 5 years, and bonds of various terms were generally traded at a discount. By industry, the bonds in the electronics industry had the largest average deviation in valuation price [2] 3. Summary According to Relevant Catalogs 3.1 Discounted Transaction Tracking - Bonds such as "25 Grid MTN024", "24产融05", and "25邛崃建投PPN001A" had discounted transactions, with different remaining terms, valuation price deviations, and transaction scales. For example, "25 Grid MTN024" had a remaining term of 14.48 years, a valuation price deviation of - 0.30%, and a transaction scale of 95400000 yuan [4] 3.2 Tracking of Bonds with Rising Net Prices - Bonds like "25 Qingdao Chengyang MTN002", "24 Huaibei 03", and "25 Huai 'an Investment 03" had rising net prices, with varying remaining terms, valuation price deviations, and transaction scales. For instance, "25 Qingdao Chengyang MTN002" had a remaining term of 2.99 years, a valuation price deviation of 0.27%, and a transaction scale of 40040000 yuan [5] 3.3 Tracking of Tier 2 and Perpetual Bond Transactions - Bonds including "22 Nanjing Bank Perpetual Bond 01", "22 Ningbo Bank Tier 2 Capital Bond 01", and "22 Huaxia Bank Tier 2 Capital Bond 01" were involved in transactions, with different remaining terms, valuation price deviations, and transaction scales. For example, "22 Nanjing Bank Perpetual Bond 01" had a remaining term of 1.82 years, a valuation price deviation of - 0.01%, and a transaction scale of 81970000 yuan [6] 3.4 Tracking of Commercial Financial Bond Transactions - Bonds such as "23 Agricultural Bank of China Three - Rural Bond", "24 Bank of China (Hong Kong) Bond 01BC", and "23 Jiangnan Rural Commercial Bank Three - Rural Bond" were traded, with different remaining terms, valuation price deviations, and transaction scales. For instance, "23 Agricultural Bank of China Three - Rural Bond" had a remaining term of 0.44 years, a valuation price deviation of 0.01%, and a transaction scale of 50220000 yuan [7] 3.5 Tracking of Bonds with a Transaction Yield Higher than 5% - Bonds including "21 Gemdale 04", "20 Zunhe 01", and "24 Liaoning Fangda MTN001" had a transaction yield higher than 5%, with different remaining terms, valuation price deviations, and transaction scales. For example, "21 Gemdale 04" had a remaining term of 0.27 years, a valuation price deviation of 0.03%, and a transaction scale of 10760000 yuan [8] 3.6 Distribution of Credit Bond Transaction Valuation Deviations on the Day - The changes in credit bond valuation yields were mainly distributed in the [- 10, - 5), [- 5,0), (0,5], and (5,10] intervals, with corresponding bond numbers and transaction scales [10] 3.7 Distribution of Non - financial Credit Bond Transaction Terms on the Day - The transaction terms of non - financial credit bonds were mainly distributed between 0.5 years and 5 years, with different transaction scales and proportions of discounted transactions in each interval [12] 3.8 Distribution of Tier 2 and Perpetual Bond Transaction Terms on the Day - The transaction terms of Tier 2 and perpetual bonds were mainly distributed between 1 year and 5 years, with different transaction scales and proportions of discounted transactions in each interval [15] 3.9 Discounted Transaction Proportion and Transaction Scale of Non - financial Credit Bonds in Each Industry - Different industries had different average valuation price deviations and transaction scales for non - financial credit bonds. The electronics industry had the largest average valuation price deviation [18]

1. Report Industry Investment Rating No relevant content provided in the report 2. Core Viewpoints of the Report - The allocation value of 3 - 10Y secondary and perpetual bonds (Two - Yong Bonds) of banks is prominent. It is recommended to focus on AA+ and above - rated 3 - 10Y bonds with high interest - rate differentials, especially the 5Y AAA - perpetual bonds. For insurance and securities firm subordinated bonds, 3 - 10Y bonds of each rating are at a relatively high historical percentile and can be allocated opportunistically [2][3] - In November, the supply of Two - Yong Bonds increased both month - on - month and year - on - year. The net financing scale also increased. In the secondary market, the yields and credit spreads of secondary capital bonds generally fluctuated downward (except for AA+ varieties), the yields of perpetual bonds declined but spreads rose, and medium - and long - term bonds performed well [2][27] - In November, the net financing scale of insurance subordinated bonds increased year - on - year, while that of securities firm subordinated bonds decreased year - on - year. In the secondary market, except for 10 - year bonds, the yields and credit spreads of other remaining - term securities firm subordinated bonds and insurance capital - supplementary bonds generally declined [2][62] 3. Summary According to Relevant Catalogs 3.1 Bank Two - Yong Bonds 3.1.1 Primary Market and Approval Quota Usage - **Issuance Scale**: In November, the supply of Two - Yong Bonds increased both month - on - month and year - on - year, with a total issuance scale of 268.3 billion yuan, including 143.7 billion yuan of secondary capital bonds and 124.6 billion yuan of perpetual bonds. The total issuance in the first 11 months was about 1.58 trillion yuan, with secondary capital bonds at 781.06 billion yuan and perpetual bonds at 800 billion yuan [5] - **Total Repayment Amount**: In November, the total repayment amount of Two - Yong Bonds increased both month - on - month and year - on - year, amounting to about 174.7 billion yuan. The total repayment in the first 11 months was about 1.16 trillion yuan, reaching a year - on - year high since 2022 [13] - **Net Financing**: The net financing scale of bank Two - Yong Bonds increased both month - on - month and year - on - year in November, reaching 93.6 billion yuan. The net financing in the first 11 months was 422.96 billion yuan, a year - on - year decrease mainly due to a slightly smaller issuance scale than in 2024 and a year - on - year increase in total repayment. The net financing in the first 11 months mainly came from state - owned large - scale banks [14][17] - **Approval Quota and Usage**: As of November 30, the remaining quota of bank Two - Yong Bonds to be issued was 1.44 trillion yuan. State - owned large - scale banks had the fastest issuance progress, while joint - stock banks and rural commercial banks had relatively slow progress [25] 3.1.2 Secondary Market - **Interest Rate Differential and Yield**: The yields and credit spreads of secondary capital bonds generally fluctuated downward (except for AA+ varieties), the yields of perpetual bonds declined but spreads rose, and medium - and long - term bonds performed well. The spreads of 5 - 10Y bonds (except AA -) were relatively large, and the 5Y perpetual bonds, especially the AAA - variety, might have high cost - effectiveness [27][30] - **Trading Volume and Turnover Rate**: In November, the trading volume of Two - Yong Bonds increased month - on - month, with state - owned large - scale banks having the largest month - on - month increase in both secondary capital bonds and perpetual bonds. The turnover rates of joint - stock banks increased significantly, ranking first among various types of banks [48][52] 3.2 Securities Firm and Insurance Subordinated Bonds 3.2.1 Primary Market - **Issuance Scale**: In November, the issuance scale of securities firm subordinated bonds increased slightly, with 19 bonds issued totaling 28.75 billion yuan. The issuance of insurance company bonds remained stable, with 5 capital - supplementary bonds and 1 perpetual bond issued, totaling 15.57 billion yuan [54] - **Net Financing**: The net financing scale of insurance subordinated bonds increased year - on - year in November, while that of securities firm subordinated bonds decreased year - on - year. From January to November 2025, the net financing scale of insurance subordinated bonds decreased year - on - year, while that of securities firm subordinated bonds increased year - on - year [62] 3.2.2 Secondary Market - **Interest Rate Differential and Yield**: Except for 10 - year bonds, the yields and credit spreads of other remaining - term securities firm subordinated bonds and insurance capital - supplementary bonds generally declined. The yields of 1 - year securities firm subordinated bonds and 3 - year insurance capital - supplementary bonds declined more significantly. The 3 - and 10 - year bonds of each rating were at a relatively high historical percentile and could be allocated opportunistically [65] - **Trading Statistics**: The trading activity of insurance company capital - supplementary bonds increased, while that of securities firm subordinated bonds decreased. In November, the turnover rates of insurance company capital - supplementary bonds and securities firm subordinated bonds were 9.32% and 9.84% respectively [70]

Core Viewpoint - Ping An Bank has received approval from the China Banking and Insurance Regulatory Commission (CBIRC) to establish its wholly-owned subsidiary, Ping An Wealth Management Co., Ltd., marking it as the fifth domestic joint-stock bank wealth management subsidiary to obtain operating qualifications [1] Group 1: Company Overview - Ping An Wealth Management has a registered capital of 5 billion RMB and is located in Shenzhen, primarily engaged in issuing public and private wealth management products, as well as providing asset management-related services [1] - The establishment of Ping An Wealth Management aligns with Ping An Bank's strategic goal of becoming "China's most outstanding and globally leading intelligent retail bank," emphasizing technology-driven retail breakthroughs and precision in corporate services [1] Group 2: Business Strategy - The bank aims to enhance its comprehensive financial services and strengthen its core advantages in "comprehensive finance" and "technology empowerment," promoting the development of digital, ecological, and platform banking [1] - The launch of Ping An Wealth Management is a significant step in adhering to regulatory requirements, promoting healthy development in wealth management, and returning to the essence of wealth management services [1] Group 3: Market Positioning - Ping An Wealth Management is committed to the service principle of "entrusted by others, managing wealth on behalf of clients," focusing on deepening its presence in the wealth management market and providing high-quality asset management products and wealth management services [1] - The initiative is expected to support the high-quality development of the real economy [1]

Core Viewpoint - The People's Bank of China has implemented a one-time credit repair policy to support individuals affected by the pandemic, and Ping An Bank has quickly established a dedicated task force to ensure effective implementation of this policy [1][2]. Group 1: Policy Implementation - Ping An Bank emphasizes the importance of the one-time credit repair policy as a significant measure to support personal credit rebuilding and promote economic recovery [2]. - The bank has organized a comprehensive mobilization meeting to ensure understanding and execution of the policy across all levels, highlighting the need for unified thought, clear division of responsibilities, and timely customer response [2]. Group 2: System Support and Process Optimization - To facilitate easy and timely access to credit status, Ping An Bank has enhanced both online and offline inquiry services, including the launch of data query functions for internal staff and self-service channels for customers [3]. - The bank has established a cross-departmental communication mechanism to synchronize policy execution progress and customer data, while also updating its knowledge base to efficiently address customer inquiries [3]. Group 3: Consumer Protection and Awareness - Ping An Bank is committed to adhering to regulatory requirements for accurate and timely reporting of credit information, while actively resisting illegal intermediary scams related to credit repair [4]. - The bank plans to continue monitoring policy execution and optimizing service processes to ensure the effective implementation of the credit repair policy, fostering a positive social atmosphere around creditworthiness [4].

Core Viewpoint - The People's Bank of China has implemented a one-time credit repair policy to support individuals affected by the pandemic, with Ping An Bank responding promptly to facilitate the policy's execution [1][2]. Group 1: Policy Implementation - Ping An Bank has established a special task force to ensure the smooth implementation of the one-time credit repair policy, emphasizing its importance in rebuilding personal credit and promoting economic recovery [1]. - A comprehensive mobilization meeting was held to ensure all staff understand and execute the policy effectively, with leaders stressing the significance of the initiative [1]. Group 2: System and Service Enhancements - Ping An Bank is enhancing its online and offline credit inquiry services to allow customers to easily check their credit status, including the launch of new self-service features on the Pocket Bank APP [1]. - The bank has improved its customer service mechanisms, including a weekly communication system to monitor policy execution and customer complaints, ensuring efficient and accurate responses to customer inquiries [1]. Group 3: Public Awareness and Consumer Protection - To raise awareness of the credit repair policy, Ping An Bank has initiated various promotional activities, including publishing policy guidelines on its official website and distributing informational brochures at branches [2]. - The bank is committed to protecting consumer rights by adhering to regulatory requirements and combating illegal practices related to credit repair, while also enhancing fraud prevention measures [2].

Core Insights - The article highlights the increasing volatility in global financial markets by 2025, emphasizing the unprecedented demand for speed in information acquisition and decision-making among investors [1][14] - The active user base of Chinese securities apps has surpassed 166 million, with a penetration rate of 15.46% across the internet [1][14] - Stock trading apps have evolved into essential tools that connect individual investors with institutional-level information [1][14] Market Landscape - The securities app market is characterized by a "three-legged" stable structure, with a clear ranking among the top ten trading software based on the latest evaluations and AI model data [2][15] - The top three apps dominate the market, with the leading app, Sina Finance, achieving a comprehensive score of 9.56 [3][16] App Rankings and Performance - The rankings of the top trading apps are as follows: 1. Sina Finance APP: 9.56 2. Tonghuashun: 9.16 3. Dongfang Caifu: 9.16 4. Xueqiu: 8.66 5. Dazhihui: 8.36 6. Zhitong Caijing: 8.50 7. Tongdaxin: 8.30 8. Futu Niu Niu: 8.54 9. Tencent Self-Selected Stocks: 8.32 10. Niuguwang: 8.02 [3][16] User Engagement and Market Share - The top ten active apps account for 63% of the market share, with Tonghuashun leading at 35.02 million monthly active users [5][18] - Dongfang Caifu follows with 17.21 million monthly active users, while Sina Finance ranks third with a comprehensive score of 9.56 [5][18] Features and Advantages - Sina Finance APP stands out for its global coverage and AI integration, connecting over 40 global financial markets and offering a refresh rate of 0.03 seconds [6][19] - The app's AI assistant can condense lengthy reports into concise summaries, highlighting risks and opportunities effectively [7][19] - Tonghuashun is noted for its trading efficiency, supporting lightning-fast transactions and providing free Level-2 market data [8][20] - Dongfang Caifu focuses on community interaction and comprehensive fund services, with a robust technical infrastructure ensuring quick response times [9][21] Niche Offerings - Other trading apps cater to specific investor needs, such as Xueqiu, which serves as a community for value investors, and Futu Niu Niu, which specializes in Hong Kong and U.S. markets [10][22][23] Selection Guidance - Investors are encouraged to choose trading software that aligns with their investment style and needs, with a summary of core advantages for each app provided [11][24] Future Outlook - The integration of AI technology is expected to make trading apps more intelligent and personalized, evolving from mere information tools to decision-making partners for investors [13][26]

12月29日，香港金管局公布，自人民币业务资金安排第二阶段起，参与银行名单已扩大至40家，分配给 参与银行的总额度由前阶段的500亿元人民币增加至1,000亿元人民币。如香港金管局于9月26日所公 布，人民币业务资金安排由第二阶段起，进一步扩大所涵盖的合资格人民币资金用途范围至人民币资本 支出，及营运资金定期贷款。对此优化安排，银行业界反应正面。 中國農業銀行股份有限公司 澳新銀行集團有限公司 盤谷銀行(大眾有限公司) 中國銀行(香港)有限公司 中國銀行股份有限公司 交通銀行(香港)有限公司 交通銀行股份有限公司 東亞銀行有限公司 永豐商業銀行股份有限公司 法國巴黎銀行 中信銀行(國際)有限公司 中國建設銀行(亞洲)股份有限公司 中國建設銀行股份有限公司 中國光大銀行股份有限公司 招商銀行股份有限公司 中國民生銀行股份有限公司 集友銀行有限公司 創興銀行有限公司 招商永隆銀行有限公司 大新銀行有限公司 星展銀行(香港)有限公司 星展銀行有限公司 德意志銀行 第一阿布扎比銀行 富邦銀行(香港)有限公司 恒生銀行有限公司 香港上海滙豐銀行有限公司 中國工商銀行(亞洲)有限公司 中國工商銀行股份有限公司 興業銀行股 ...

1、资料名称：2024-1999年上市公司企业连锁董事网络嵌入数据、连锁董事网络数据 此数据为科研课题组自用数据，非仅仅只有一个结果胡编乱造（根据参考文献瞎编结果根本就没有研究价值，不能反映真正的连锁董事网络，实证围绕着错 的结果根本就毫无意义浪费大家时间），真正的原创一手认真整理数据，数据处理较为复杂大家可以自行试试！ 3.2.2 解释变量 解释变量为企业在连锁董事网络嵌入中心 位置(DC)、结构洞位置(SH),分别采用社会网 络研究中的常用指标,即程度中心度及结构洞 指数 衡量116]。FREEMAN 提出程度中心度 概念,计算公式为: $$D C_{i,t}=\frac{\sum_{j\neq i}\delta_{(i,j)}}{n-1}\,,\qquad\qquad(2)$$ 2、测算方式：参考顶刊《管理学报》朱建新（2025）老师的做法，解释变量为企业在连锁董事网络 嵌 入中心位置 、 结构洞位 置 ， 分 别 采 用 社 会 网络 研究中的 常 用 指 标， 即 程 度 中 心 度 及 结 构 洞指数 衡 量］。提 出 程 度 中 心 度概念， 计算公式 本研究利用" １ 限制 度" 衡 量 结 ...

联系电话：0755-22168028/0755-22166459 邮政编码：518034 感谢您长期以来对平安银行工作的支持与配合！如有任何疑问，欢迎随时与平安银行联系。 2025年12月29日，平安银行（000001）发布公告称，为进一步提升平安银行对账服务效率，银企对账单 回寄地址自2026年1月1日起变更为： 深圳市福田区保税区市花路16号平安银行信息科技中心5楼 ...

2025.12.29 本文字数：2244，阅读时长大约4分钟 作者 |第一财经 陈君君 2025年以来，银行理财代销市场明显升温。一方面，多家银行代销理财产品数量和规模快速扩张，理财 代销成为不少银行在息差收窄背景下的重要"发力点"；另一方面，随着业务加速推进，理财、代销等环 节的管理漏洞也逐步暴露，监管罚单密集落地，合规压力同步上行。年内多家银行因理财、代销等业务 管理不审慎等被处罚。 业内人士指出，理财代销正从"规模竞争"迈入"能力竞争"阶段。如何在抢占市场窗口期的同时守住风险 底线，成为摆在银行面前的一道现实考题。 理财规模创新高，中小银行加速入场 银行业理财登记托管中心发布的《中国银行业理财市场季度报告（2025年三季度）》显示，截至今年9 月末，全市场存续理财产品规模达32.13万亿元，首次突破32万亿元大关，创下历史新高；持有理财产 品的投资者数量达1.39亿，同比增长12.7%。 从产品数量看，三季度末全市场存续理财产品4.39万只，同比增加10.01%；存续规模同比增长9.42%。 在低利率环境下，银行理财作为"存款替代"的重要工具，其市场吸引力持续增强。 在此背景下，理财代销成为银行扩张的重 ...