SINOLINK SECURITIES(SH:600109) Xin Lang Cai Jing·2026-01-15 14:09Core Insights - The article emphasizes the transformative impact of artificial intelligence (AI) on the securities industry, highlighting the establishment of an AI laboratory by Guojin Securities in February 2024 to explore innovative applications of large models in finance [2][35] - The laboratory aims to integrate AI deeply into core business areas such as quantitative trading, investment management, company valuation, risk control, and organizational operations, showcasing a comprehensive research framework across six key scientific directions [2][35] Valuation and Investment Research System - This system focuses on enhancing valuation analysis and investment research capabilities in the securities field using large language models, aiming to reconstruct traditional valuation frameworks and improve the depth and efficiency of company value and investment opportunity analysis [3][36] - Key research directions include developing new valuation methods by integrating large models with financial data and constructing intelligent valuation models [3][36] Patent Achievements - A dynamic valuation algorithm and system based on parallel game theory and large language models is under application, which is expected to enhance the adaptability of valuation models to market changes [4][37] - An algorithm and system for intelligent mining of industrial chain information in a domestic executable environment using large models is also under application, aimed at identifying key factors affecting corporate value [4][37] - A method for intelligent mining and backtesting of investment factors in the securities industry using large models in a domestic environment is being developed to support quantitative investment strategy development [4][37] Paper Achievements - Research on integrating large language models with financial data for improved valuation methods has been published in the journal "Financial Technology Times" [5][38] - A framework for constructing intelligent valuation models using large models has been proposed in the journal "Securities Information Technology" [5][38] - A quantitative analysis of sentiment, financial reports, and goodwill using large model technology has been published, addressing the limitations of traditional financial valuation models [5][38] Risk Management and Governance System - This system focuses on establishing a robust risk management framework for the application of large models, including risk assessment and fault tolerance mechanisms for model "hallucinations" and risk prevention in AI model applications [9][42] - Research includes developing risk protection technologies for financial regulation involving large models [9][42] Multi-Agent Collaboration and Adaptive System - This system studies multi-agent systems driven by large language models and their collaborative applications in finance, aiming to create intelligent systems that can learn and evolve adaptively [45] - Research covers collaborative control algorithms for multiple agents and adaptive trading strategies based on reinforcement learning and emergent behavior [45] AI Empowerment for Organizational Transformation - This system explores how large models can facilitate organizational transformation and knowledge management innovation within securities institutions, focusing on creating "AI-friendly" organizations and knowledge management solutions [21][55] - Research includes the application of digital humans (virtual employees) and fostering a culture that integrates AI technology into business processes [21][55] Complex Financial System Modeling and Quantitative Trading System - This system emphasizes the use of large language models to re-examine and model complex financial systems, innovating investment strategy paradigms [28][30] - Research includes enhancing understanding of complex financial systems and reconstructing traditional quantitative strategies through a systems theory perspective [28][30]