（原标题：险资股票投资风险因子下调，金融科技ETF华夏、金融科技ETF、金融科技ETF富国逆势上 涨） A股主要指数下跌，金融科技板块逆势上涨。 ①证券IT行业以生产系统为核心，根据客户需求建设系统。②证券科技服务商行业架构包括流量获客、 金融信息服务产品变现和牌照变现。③银行IT行业架构满足多样化服务需求，保险IT行业架构基于业务 需求导向的三类IT系统。 互联网金融看短期业绩弹性，证券IT关注信创需求：金融科技指数跑赢大盘，证券科技服务商业绩齐头 并进；A股市场新入市投资者增长，交投情绪较强。①东方财富——短期关注市占率，长期关注AI发 展；②同花顺——短期关注C端业绩弹性，长期关注AI赋能B+C端；③指南针&九方智投控股——关注 流量到牌照变现的业绩弹性；④恒生电子&金证股份——关注金融行业基本面改善和信创需求。 银行IT关注出海订单，保险IT看AI发展：2025年，银行及保险业整体平稳增长；2025年前三季度，银行 保险科技股小幅震荡，四季度起个股表现分化；银行IT行业预期将呈现产品集成化、行业集中化趋势。 ①长亮科技——营收状况符合一致周期稳步发展，海外布局持续开拓，看好海外业务；保险IT行业增长 ...

Group 1: Fixed Income Research - The recent correlation between government bond futures and equity markets indicates a new phase, moving beyond the previous simple "see-saw" logic [3][4] - As of November 21, the 10-day correlation between TL contracts and the CSI 300 index has significantly increased to a historical high since July 2025, suggesting a complex relationship [3][4] - The future dynamics of government bond futures are expected to be influenced by equity market movements, indicating a potential for better resilience in bond futures if growth expectations change [4] Group 2: Computer Industry Research - The release of DeepSeek R1 in 2025 is anticipated to significantly enhance general model reasoning capabilities and reduce costs, marking a turning point for AI deployment in financial institutions [5][6] - AI applications are rapidly penetrating core business and back-office scenarios in various financial institutions, aiming to optimize internal operations and enhance external value [6][7] - Large financial institutions are focusing on private deployment of large models, while smaller institutions are pursuing cost-effective solutions for agile development [8] Group 3: Investment Recommendations - Recommended stocks in financial information services include Tonghuashun and Jiufang Zhitu Holdings, while third-party payment recommendations include Newland and New Guodu [6][7] - In the banking IT sector, recommended stocks include Yuxin Technology and Jingbeifang, with additional recommendations in securities IT and insurance IT sectors [7][8]

Core Insights - The financial industry is experiencing a significant shift towards AI applications, driven by both internal and external factors, marking a pivotal moment for AI implementation in finance [2] - The release of DeepSeek R1 in 2025 is expected to enhance general model reasoning capabilities and reduce costs, facilitating localized AI deployment in financial institutions [1][3] - AI is anticipated to transform financial business processes and organizational structures, ushering in a new era of digital intelligence in finance [1] Industry Drivers - The financial sector is characterized as data, information, and decision-intensive, making it an ideal testing ground for AI applications [2] - Since the introduction of GPT-1 by OpenAI in 2018, general model technology has progressed from "technology validation" to "industry adaptation," indicating readiness for large-scale application in vertical sectors [2] - Recent policies and top-level designs have provided external impetus for financial institutions to transition from "digital intelligence" to "artificial intelligence" [2] Technological Pathways - There are two main technological approaches for integrating AI in finance: 1. Training general models with financial data, enhancing the ability to solve complex financial problems, with DeepSeek R1 marking a key industry milestone for localized AI deployment [3] 2. Developing financial-specific models that better address industry-specific challenges and compliance requirements [3] - AI agents, particularly multi-agent collaboration, are identified as a future focus area, with current applications primarily in short-thinking financial scenarios like understanding and information extraction [3] Investment Opportunities - Suggested sectors for investment include: 1. Financial information services with recommended stocks like Tonghuashun and JiuFang Zhitou Holdings [4] 2. Third-party payment services with recommended stocks like Newland and New Guodu [4] 3. Banking IT with recommended stocks including Yuxin Technology and Jingbeifang [4] 4. Securities IT with recommended stocks such as Hengsheng Electronics and Jinzhen Shares [4] 5. Insurance IT with recommended stocks like New Wisdom Software and Zhongke Software [4]

Core Insights - A new wave of technological revolution and industrial transformation is underway, with rapid development in information and intelligence, leading to significant disruptive technologies emerging and converging [1][9] - The digital transformation investment in China's insurance industry has been increasing, with the insurance technology scale expected to reach 58.67 billion yuan in 2024, a year-on-year growth of 13.4% [1][10] - The overall IT investment in the Chinese insurance industry is projected to be 49.09 billion yuan in 2024, with a compound annual growth rate of 11.4% from 2021 to 2024 [10][12] - The insurance IT solutions market is facing pressure due to macroeconomic factors, with a projected market size of 10.096 billion yuan in 2024, showing a significant decline [12][14] Insurance IT Industry Overview - Insurance IT refers to the application of information technology in the insurance sector to achieve efficient business processing, management optimization, and innovative services [2] - The current insurance IT systems in China are categorized into core business systems, channel systems, management systems, and others [2] Development Background - The digital transformation of the insurance industry is supported by government policies, with initiatives aimed at enhancing digital capabilities and resource investment [7][8] - The insurance market in China has evolved significantly since the establishment of the People's Republic of China, with the number of insurance institutions reaching 247 by the end of 2024 and premium income increasing from 2.43 trillion yuan in 2015 to 5.70 trillion yuan in 2024 [8][9] Competitive Landscape - The insurance IT solutions market is competitive, with leading companies such as Zhongke Ruankexie, Ruantong Power, and Yishang Shuzhi maintaining their positions, while others like Fabben Information and Yibao Network occupy the second tier [15][16] - The market is characterized by two types of players: traditional insurance company tech subsidiaries and third-party insurance IT service providers [16] Future Trends - The insurance industry is expected to allocate more budget towards high-value business innovations, with a focus on sales intelligence, integrated customer management, and personalized service experiences [16] - The application of AI large model technology across various business operations is anticipated to reshape the insurance value chain, leading to full-link intelligence as a key trend in industry development [16]