京北方（002987.SZ）深度报告 金融 AI 新范式下的破局者 2025 年 05 月 22 日 ➢ 国内领先的数智技术和金融科技服务商，深耕金融机构客户，迈向 AI+金融 的新时代。京北方围绕软件及 IT 解决方案和业务数字化运营两大主营业务，构 建了涵盖人工智能及大数据创新产品、金融科技解决方案、软件开发及服务、业 务数字化运营的完整业务体系；公司的主要客户结构相对稳定，覆盖银行、保险、 券商等十五类持牌金融机构。公司 2024 年实现营收 46.36 亿元，同比增长 9.29%，公司营收在 2017-2024 年维持稳健增长，复合增速达到 24%，同时公 司近年来维持 23%/8%左右的毛利率/净利率与 15%左右的期间费用率水平。 ➢ AI+人民币国际化+客户跃迁的三维聚变催化金融行业迈入新阶段。 AI+金融的裂变：金融机构加速部署 DeepSeek，低成本高性能 AI 模型显著降 低 AI+金融深度融合的门槛，AI 从效率工具迈向效能引擎，驱动智能风控、智能 运营、智能获客等不同业务板块的流程再造和效能增长。 人民币国际化进程加速：CIPS 和货币桥为代表的新兴跨境支付体系缩短了跨境 支付链路， ...

Group 1: AI Applications in Banking - AI credit applications are crucial for banks, focusing on improving efficiency and quality in loan processes [2] - AI marketing utilizes user characteristics for intelligent modeling and enhances marketing strategies [3] - AI data capabilities help clients improve data analysis through natural language processing and data language conversion [3] - AI regulatory tools establish a bridge between raw data and final metrics for compliance and reporting [3] - AI knowledge bases assist clients in visualizing workflows and addressing specific business queries [3] Group 2: Challenges in AI Implementation - The accuracy of large models is generally high, but measures are in place to manage potential inaccuracies in client applications [4] - Implementing AI in client systems is complex due to existing architecture and processes, requiring a phased, modular approach [5] - Continuous technological advancements necessitate ongoing evaluation of new AI technologies for compatibility and application [5] - Communication barriers between technical and business teams can lead to mismatched requirements, which the company addresses by integrating algorithm personnel into business research [6] Group 3: Talent and Capability Development - Transitioning from IT product capabilities to business empowerment requires hybrid talent that understands both business needs and AI technology [6] - Product managers are essential for designing AI solutions that enhance client business capabilities and drive growth [6] Group 4: Risk Awareness - The content discussed in the investor relations activity does not constitute a substantive commitment from the company regarding future development plans or performance expectations [6]

Core Viewpoint - The financial technology sector is experiencing fluctuations, with the China Securities Financial Technology Theme Index showing a decline of 1.02% as of May 22, 2025, while specific stocks within the sector have varied performances [3]. Group 1: Financial Technology ETF Performance - The Financial Technology ETF (516860) has seen a recent decline of 1.01%, with the latest price at 1.18 yuan [3]. - The ETF's trading volume has been active, with a turnover of 3.7% and a total transaction value of 34.8452 million yuan [3]. - Over the past year, the ETF has achieved an average daily trading volume of 76.8463 million yuan [3]. - The ETF's net inflow over the past five days reached a total of 70.8255 million yuan, with a maximum single-day net inflow of 21.8676 million yuan [4]. - The ETF's total size has reached 945 million yuan, marking a recent one-month high [4]. - The ETF has recorded a one-year net value increase of 59.32%, ranking first among comparable funds [5]. - The ETF's highest monthly return since inception was 55.92%, with an average monthly return of 10.57% [5]. - The ETF's Sharpe ratio stands at 1.24 as of May 16, 2025, indicating a favorable risk-adjusted return [6]. Group 2: Index Composition and Data Quality Initiatives - The China Securities Financial Technology Theme Index includes companies involved in financial technology, reflecting the overall performance of this sector [4]. - The top ten weighted stocks in the index account for 53.28% of the total, including companies like Tonghuashun (300033) and Dongfang Caifu (300059) [8]. - The National Data Bureau has released the "Digital China Development Report (2024)" and a draft guideline for high-quality data set construction, which is expected to enhance the development of AI and large models in specific vertical industries such as healthcare, transportation, education, and finance [3].

Group 1 - The China Securities Financial Technology Theme Index (930986) experienced a decline of 0.28% as of May 21, 2025, with mixed performance among constituent stocks [3] - Zhaori Technology (300333) led the gains with an increase of 6.92%, while Lakala (300773) saw the largest decline at 5.71% [3] - The Financial Technology ETF (516860) also fell by 0.33%, with a latest price of 1.19 yuan and a turnover rate of 3.32% [3] Group 2 - Dongxing Securities highlighted strong policy support and emerging demand in new sectors, contributing to the recovery of industry growth [4] - The financial technology sector is expected to benefit from increased IT investments by banks, insurance, and securities firms, driven by the transition to new systems and digital platforms [4] - Cloud technology remains a core investment area for financial institutions, with AI and data utilization expected to enhance operational efficiency [4] Group 3 - The Financial Technology ETF reached a new high of 929 million yuan in size and 778 million shares in circulation [5] - The ETF has seen continuous net inflows over the past four days, totaling 51.75 million yuan, with an average daily net inflow of 12.94 million yuan [5] - The ETF's one-year net value increased by 57.87%, ranking first among comparable funds [5] Group 4 - The Financial Technology ETF has a management fee of 0.50% and a custody fee of 0.10%, which are among the lowest in comparable funds [6] - The ETF's tracking error over the past two years is 0.046%, indicating the highest tracking precision among similar funds [6] - The top ten weighted stocks in the index account for 53.28% of the total, with Tonghuashun (300033) and Dongfang Caifu (300059) being the largest contributors [6][8]

Core Insights - The development of AI Agents is rapidly evolving, with diverse categories and application scenarios emerging despite the lack of a unified definition [6][9][42] - There are significant differences in the strategies of major companies in the US and China regarding Agent development, with North American cloud providers focusing on deployment platforms and Chinese internet companies continuing to leverage user traffic logic [2][7][42] - The high computational demand of Agent products is expected to drive advancements in the AI industry chain, suggesting a potential turning point for commercialization [8][9][42] Group 1: Agent Definition and Development - There is no clear definition of Agents, but they are categorized based on their capabilities and application scenarios, including multimodal Agents and general-purpose Agents [20][24] - Academic perspectives emphasize the need for planning capabilities in Agents, while industry views focus on the ability of Agents to independently complete tasks [10][12][18] - The evolution of Agent capabilities follows a path of "imitation learning → decoupling → generalization → emergence," enhancing their functionality across various domains [20][24] Group 2: Market Landscape and Company Strategies - North American cloud companies like Google and Microsoft are primarily focused on helping clients efficiently deploy models and Agents, while B-end companies are developing platforms for Agent creation and management [2][7] - Chinese internet giants are introducing general-purpose Agent products, while B-end enterprises are launching domain-specific Agents based on their platforms [2][7] - The commercialization of Agent products is already evident, with companies like Salesforce achieving significant revenue from their Agent offerings [2][8] Group 3: Technical Challenges and Solutions - The development of Agents faces technical challenges, including high token consumption and issues related to intent confusion and multi-Agent collaboration [2][8] - Solutions being explored include Bayesian experimental design and attention head control in academia, while industry is adopting retrieval-augmented generation (RAG) and data augmentation techniques [2][8] - Despite these challenges, Agents are demonstrating value in various applications, such as code generation and office efficiency improvements [2][8] Group 4: Investment Recommendations - The rapid progress of Agents and the upward trend in the AI industry chain suggest potential investment opportunities in software companies with data, customers, and applicable scenarios [8] - Specific recommendations include companies in ERP and government sectors, as well as those in education and healthcare that can generate new revenue streams [8] - Increased demand for model privatization is expected to benefit companies involved in integrated machines, hyper-converged infrastructure, and B-end service outsourcing [8]

Core Viewpoint - The computer industry is expected to end the continuous decline since 2020 and enter a reversal phase, with potential for accelerated performance growth in the second half of the year due to demand and cost discrepancies [1] Group 1: Industry Performance - The computer industry is likely to experience a turnaround, with performance growth potential accelerating in the second half of the year as demand and cost discrepancies become more evident [1] - Current holdings in the computer sector are still underweight compared to historical averages, but have been increasing for two consecutive quarters, indicating significant room for further increases [1] - Historical data shows that the computer sector has experienced a maximum increase of 98% over an 8-month period, suggesting further upward potential in the current cycle [1] Group 2: Investment Directions - The focus should be on identifying alpha investment opportunities within the sector, particularly in artificial intelligence (AI) and domestic production [1] - The AI sector is characterized by intensified competition among domestic and international large model manufacturers, with significant advancements expected in multi-modal capabilities [2] - The demand for computing power remains high, driven by global tech giants increasing capital expenditures and the rising need for inference computing power [2] Group 3: Key Recommendations - It is recommended to increase allocation to the computer sector, with a focus on AI and domestic production, highlighting key companies such as Kingsoft Office, Haiguang Information, Newland, and others [4]

Core Insights - The China Securities Financial Technology Theme Index (930986) has shown a slight increase of 0.31% as of May 20, 2025, with notable gains in constituent stocks such as New Morning Technology (300542) up by 6.11% and Geling Deep Vision (688207) up by 3.74% [2] - A joint policy initiative from seven departments was released on May 13, 2025, aimed at accelerating the construction of a financial technology system to support high-level technological self-reliance, focusing on areas like artificial intelligence and quantum technology [2] Fund Performance - The Financial Technology ETF (516860) has seen a significant growth in scale, increasing by 61.76 million yuan over the past two weeks, ranking in the top third among comparable funds [3] - As of May 19, 2025, the Financial Technology ETF has achieved a net value increase of 58.29% over the past year, placing it first among comparable funds [3] - The ETF's highest single-month return since inception was 55.92%, with an average monthly return of 10.57% and a historical three-year holding profit probability of 96.75% [3] Risk and Fees - The Financial Technology ETF has a management fee of 0.50% and a custody fee of 0.10%, which are among the lowest in its category [4] - The tracking error for the ETF over the past two years is 0.046%, indicating the highest tracking precision among comparable funds [4] Top Holdings - As of April 30, 2025, the top ten weighted stocks in the China Securities Financial Technology Theme Index account for 53.28% of the index, with Tonghuashun (300033) and Dongfang Caifu (300059) being the top two holdings [4]

Group 1 - The core viewpoint of the news highlights that Zhiyuan Investment has conducted research on Yuxin Technology, which recently won a data platform project for a major bank's London branch, focusing on data governance, regulatory compliance, and analytical services [1] - Yuxin Technology will assist the bank in establishing a comprehensive data governance system, enhancing the automation of capital and liquidity data reporting, and building a multi-layered data platform to meet BCBS239 international regulatory standards [1] - The company is focusing on application areas in technology, building a full-stack service system for large models, and integrating MCP protocols to accelerate application deployment [1] Group 2 - The overseas client demand includes improving operational efficiency, optimizing customer experience, enhancing compliance capabilities, and exploring business autonomy and mobile transformation [1] - Yuxin Technology aims to integrate multiple regulatory reporting systems and utilize AI technology to automatically interpret differentiated financial regulatory policies, achieving automatic identification, classification, and storage of customer information [1] - The company is also working on intelligent transformation of the credit approval process [1]

Group 1: Overseas Project Developments - The company has successfully won a data platform project for a major bank's London branch, focusing on data governance, regulatory compliance, and analytical services [2] - The project will establish a comprehensive data governance system, including data standards, quality monitoring rules, and a data resource directory [2][3] - The platform will enhance the bank's automated reporting capabilities for capital and liquidity data, ensuring compliance with local regulations [2] Group 2: AI Industry Positioning - The company is focused on AI applications, creating a full-stack service system that covers key areas from computing power to business scenario capabilities [4] - By integrating the AI large model MCP protocol, the company aims to build a more adaptable AI application architecture, facilitating the deployment of various intelligent platforms [4] Group 3: Overseas Client Needs - Overseas financial clients seek to enhance operational efficiency, optimize customer experience, and strengthen compliance capabilities through technological innovation [5] - There is a trend towards integrating multiple regulatory reporting systems into a unified platform to simplify processes and reduce compliance costs [5] - Clients are interested in using AI technology to automate the processing of customer documents, aiming to reduce manual data entry and improve loan approval cycles [5]

Core Viewpoint - The financial technology sector is experiencing mixed performance, with the China Securities Financial Technology Theme Index showing a slight decline, while specific stocks within the sector have varied in their performance [3][4]. Group 1: Financial Technology ETF Performance - The Financial Technology ETF (516860) has decreased by 0.42%, with a latest price of 1.19 yuan [3]. - The ETF has seen a recent net inflow of 959.22 million yuan, with a total of 3,745.96 million yuan net inflow over the past five trading days [4]. - The ETF's one-year net value has increased by 61.11%, ranking it first among comparable funds [5][6]. Group 2: Market Trends and Insights - The AI industry chain, smart driving, and software outsourcing are expected to maintain high levels of prosperity, while sectors like data elements and power IT show good prospects [4]. - The Financial Technology ETF closely tracks the China Securities Financial Technology Theme Index, which reflects the overall performance of listed companies in the financial technology sector [4]. Group 3: Key Stock Performances - The top ten weighted stocks in the China Securities Financial Technology Theme Index account for 53.28% of the index, with notable companies including Tonghuashun (300033) and Dongfang Caifu (300059) [9][11]. - Specific stock performances include a decline in Tonghuashun by 0.94% and Dongfang Caifu by 0.42% [11]. Group 4: Fund Metrics - The Financial Technology ETF has a management fee rate of 0.50% and a custody fee rate of 0.10%, which are among the lowest in comparable funds [9]. - The ETF's Sharpe ratio for the past year is 1.24, indicating a favorable risk-adjusted return [7].