债券代码：148479.SZ 债券简称：23 国元 02 国元证券股份有限公司 2023 年面向专业投资者公开发行公司债券(第二期) 将于 2025 年 10 月 20 日（因 10 月 19 日为周末顺延至下一交易日）支付自 2024 年 10 月 19 日至 2025 年 10 月 18 日期间的利息。为保证付息工作的顺利进行， 现将有关事项公告如下： 国元证券股份有限公司 2023 年面向专业投资者公开 发行公司债券(第二期)2025 年付息公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 一、本期债券的基本情况 1．发行人：国元证券股份有限公司 2．债券名称：国元证券股份有限公司 2023 年面向专业投资者公开发行公司 债券(第二期) 3．债券简称：23 国元 02 4．债券代码：148479.SZ 5．债券余额：人民币 15 亿元 重要提示： — 1 — 债券简称：23 国元 02 债券代码：148479.SZ 债权登记日：2025 年 10 月 17 日 付息日：2025 年 10 月 20 日 计息期间：2024 年 10 月 19 日至 2 ...

证券日报网讯国元证券10月16日在互动平台回答投资者提问时表示，截至2025年10月10日，公司股东人 数85809户。 （文章来源：证券日报） ...

Core Viewpoint - Guoyuan Securities experienced a decline of 2.00% in stock price on October 16, with a trading volume of 393 million yuan and a market capitalization of 40.539 billion yuan [1] Financial Performance - As of September 30, Guoyuan Securities reported a net profit of 1.405 billion yuan for the first half of 2025, representing a year-on-year growth of 40.44% [2] - The company has cumulatively distributed dividends of 10.306 billion yuan since its A-share listing, with 2.007 billion yuan distributed over the past three years [3] Stock Market Activity - The stock price of Guoyuan Securities has increased by 13.29% year-to-date, with a 1.20% rise over the last five trading days and a 4.26% increase over the last 20 days [1] - The number of shareholders decreased by 1.54% to 86,100, while the average number of circulating shares per person increased by 1.57% to 50,665 shares [2] Shareholder Composition - As of June 30, 2025, Hong Kong Central Clearing Limited was the fourth largest circulating shareholder, holding 235 million shares, an increase of 78.3765 million shares from the previous period [3] - The Guotai CSI All-Index Securities Company ETF ranked as the tenth largest circulating shareholder, holding 40.4507 million shares, a decrease of 4.1191 million shares from the previous period [3] Business Overview - Guoyuan Securities, established on June 6, 1997, and listed on June 16, 1997, is based in Hefei, Anhui Province, and its main business includes securities brokerage, proprietary trading, underwriting, investment consulting, and asset management [1]

Core Viewpoint - The article discusses how artificial intelligence, particularly large models, is reshaping the financial services ecosystem, with a focus on how securities firms are embracing technological transformation [1]. Group 1: AI Implementation in Securities Firms - Securities firms are increasingly exploring the application of large models to enhance service efficiency and innovate business models, with significant progress being made [5]. - Shanxi Securities has integrated large models into its existing digital strategy, focusing on successful scenarios such as text generation and compliance retrieval, achieving a tenfold increase in efficiency for certain trading processes [7]. - Guoyuan Securities has developed a six-layer architecture centered on AI, encompassing everything from computational power to customer-facing applications, aiming to enhance various capabilities [9]. - Huafu Securities has allocated approximately 25% of its annual IT investment to AI-related initiatives and has established performance metrics to assess AI project implementation [11]. Group 2: Challenges and Recommendations for Regulation - As the application of large models deepens, there is a consensus on the need to improve regulatory frameworks within the industry [16]. - Recommendations include establishing a certification system for AI financial service capabilities, clarifying responsibilities and disclosure requirements, and promoting data usage standards to ensure customer privacy and data security [16][17]. - There is a call for industry collaboration to create a shared knowledge center and a data-sharing platform to enhance the capabilities of large models [17]. Group 3: Future Outlook and Industry Evolution - The rapid evolution of technology and its integration with business needs may lead to significant changes in service models and operational logic within the securities industry [18]. - There is an expectation that the next couple of years may see a disillusionment phase for large model applications, but they will continue to serve as powerful productivity tools [18]. - The future value of large models may lie in their ability to facilitate intelligent decision-making by abstracting various elements into logical entities and incorporating external market changes [19]. - The industry anticipates a shift towards AI-native applications and an increase in the use of domestic computational power, which is expected to surpass other heterogeneous computing resources [19].

Core Insights - The article discusses the application and challenges of large AI models in the securities industry, highlighting the progress made by various brokerage firms in integrating AI into their operations [1][2]. Group 1: AI Model Implementation - Shanxi Securities has successfully integrated AI models into specific business scenarios, achieving a tenfold increase in efficiency for bond trading by reducing response time from 30 seconds to 3 seconds [2]. - Guoyuan Securities has established a six-layer AI empowerment system, focusing on the practical application of AI tools for investment banking projects, including capabilities for intelligent verification and regulatory Q&A [2]. - Huafu Securities allocates approximately 25% of its annual IT investment to AI, implementing performance assessments based on AI project usage and depth [3]. - Southwest Securities has initiated its exploration of AI models in 2023, establishing a dedicated digital transformation office to oversee AI applications such as intelligent knowledge bases and investment assistants [3]. - Guotai Junan Securities has adopted an "All in AI" strategy, promoting AI understanding among employees and developing AI tools for client services [3]. Group 2: Regulatory Framework - There is a consensus in the industry on the need to improve the regulatory framework surrounding AI applications, with suggestions for a tiered certification system for AI financial services [4]. - Recommendations include clarifying responsibilities and disclosure requirements for AI services to protect both investors and brokerage firms [4]. - The establishment of data usage norms is suggested to enhance transparency and compliance in client data usage while safeguarding privacy [4]. Group 3: Future Industry Trends - The rapid evolution of technology is expected to significantly alter service models and operational logic in the securities industry, with a potential shift towards more integrated and efficient AI applications [5][6]. - There is an anticipation of a "disillusionment phase" for large models in the next couple of years, where unrealistic expectations may be challenged, but the productivity tools provided by these models will remain valuable [5]. - The future value in the industry may lie in the development of "intelligent decision-making" capabilities, where AI can abstract various elements and adapt to market changes [6]. - The emergence of a comprehensive intelligent agent matrix is expected, which could transform business models and operational ethics within brokerage firms [6].

证券日报网讯国元证券10月15日在互动平台回答投资者提问时表示，截至2025年9月10日，公司股东人 数88，947户。 ...

格隆汇10月15日｜A股市场盘初上涨的券商股目前回调转跌，其中，华林证券、华泰证券、国元证券、 湘财股份跌超2%。 ...

Core Viewpoint - Guoyuan Securities experienced a stock price decline of 2.09% on October 15, with a current price of 9.38 CNY per share and a total market capitalization of 40.932 billion CNY [1] Financial Performance - As of September 30, Guoyuan Securities reported a net profit attributable to shareholders of 1.405 billion CNY for the first half of 2025, representing a year-on-year growth of 40.44% [2] - The company has cumulatively distributed dividends of 10.306 billion CNY since its A-share listing, with 2.007 billion CNY distributed over the past three years [3] Stock Market Activity - The stock has increased by 14.39% year-to-date, with a 2.74% rise over the last five trading days and a 4.92% increase over the last 20 days [1] - The number of shareholders decreased by 1.54% to 86,100, while the average number of circulating shares per person increased by 1.57% to 50,665 shares [2] Shareholder Composition - As of June 30, 2025, Hong Kong Central Clearing Limited is the fourth-largest circulating shareholder, holding 235 million shares, an increase of 7.837 million shares from the previous period [3] - The Guotai CSI All-Index Securities Company ETF is the tenth-largest circulating shareholder, holding 40.4507 million shares, a decrease of 4.1191 million shares from the previous period [3] Business Overview - Guoyuan Securities, established on June 6, 1997, and listed on June 16, 1997, is based in Hefei, Anhui Province, and its main business includes securities brokerage, proprietary trading, underwriting, investment consulting, and asset management [1] - The revenue composition of the company includes proprietary business (42.98%), wealth credit business (29.39%), other businesses (13.47%), international business (5.24%), futures business (4.65%), investment banking (2.66%), and asset management (1.62%) [1]

证券之星消息，10月14日证券板块较上一交易日下跌0.46%，湘财股份领跌。当日上证指数报收于 3865.23，下跌0.62%。深证成指报收于12895.11，下跌2.54%。证券板块个股涨跌见下表： | 代码 | 名称 | 收盘价 | 涨跌幅 | 成交量(手) | 成交额(元) | | | --- | --- | --- | --- | --- | --- | --- | | 000728 | 国元证券 | 9.58 | 4.02% | 164.40万 | | 15.93亿 | | 600999 | 招商证券 | 17.20 | 0.70% | 105.89万 | | 18.25 Z | | 601211 | ■泰海通 | 18.82 | 0.70% | 137.90万 | | 26.03亿 | | 002500 | 山西证券 | 6.53 | 0.62% | 40.47万 | | 2.65亿 | | 600909 | 华安证券 | 6.42 | 0.47% | 66.28万 | | 4.29亿 | | 000776 | 广发证券 | 23.32 | 0.39% | 152.17万 | | 2666.58 ...

Core Insights - The three major indices opened high but closed lower, with the ChiNext Index dropping over 2%, while the precious metals sector led gains and the technology sector saw declines [3] Group 1: ETF Performance - The broker ETF fund (515010) rose by 0.42%, with its holdings such as Guoyuan Securities increasing by 5.10% [3] - The broker ETF fund has seen continuous net inflows over the past four days, totaling 57.6868 million yuan, with the latest share count reaching 1.262 billion and a total scale of 1.811 billion yuan, both hitting record highs since inception [3] Group 2: New Account Openings - In September, the number of new A-share accounts reached 2.9372 million, marking a year-on-year increase of 60.73% and a month-on-month increase of 10.83%, making it the second-highest monthly figure this year, following March's 3.0655 million [3] - Among the new accounts in September, 2.9263 million were individual accounts and 10,900 were institutional accounts, with institutional openings surpassing 10,000 for the first time this year [3] Group 3: Broker ETF Fund Characteristics - The broker ETF fund (515010) tracks the securities company index (code 399975), with the top ten constituent stocks accounting for 60.1% of the index weight, allowing for direct exposure to leading brokerages benefiting from the A-share market recovery [3] - The combined management and custody fee rate for the fund is 0.2%, making it the lowest fee investment option currently available in the market [3]