Qi Huo Ri Bao·2025-10-09 18:16Core Insights - The Chinese government aims to fully transition to an intelligent economy and society by 2035, providing strong support for achieving socialist modernization [1] - Artificial intelligence is reshaping the derivatives market by enhancing trading models, efficiency, risk management, and clearing mechanisms, leading to a more efficient, transparent, and globalized market [1] Group 1: Impact of AI on Derivatives Market - AI, particularly based on large language models, is driving the financial industry from basic digitization to deep intelligence, significantly enhancing the scale, liquidity, efficiency, and service capabilities of the domestic derivatives market [2] - The rise of high-frequency algorithmic trading, influenced by technological advancements, has led to a substantial increase in its market share, improving liquidity and trading efficiency while narrowing bid-ask spreads [2][3] - The reduction of information asymmetry in the derivatives market is increasing overall market transparency and efficiency [2] Group 2: Future Trends and Opportunities - The open-source nature of large computing models and reduced computing costs will lead to widespread application of AI-driven strategy optimization, enhancing market effectiveness and pricing efficiency for complex derivatives [3] - The evolution of the derivatives market from a "tool market" to an "algorithmic ecosystem" will strengthen the dominance of institutional investors, with top firms contributing significantly to market liquidity [3][4] - AI is also facilitating the development of intelligent risk management and compliance systems, with firms exploring AI-based risk management frameworks to enhance efficiency and coverage of various risk scenarios [4] Group 3: Technological Advancements in Trading - The application of technology is crucial for competitive advantage in the derivatives market, with efficient pricing algorithms and low-latency trading systems becoming essential for market participants [6] - AI technologies are enabling dynamic risk control models and intelligent simulations of various stress scenarios, enhancing the risk management capabilities of trading firms [6][7] - Real-time risk monitoring systems and machine learning models for stress testing are expected to improve the ability to withstand extreme risk events [7] Group 4: Market Maturity and Global Positioning - The maturation of the domestic derivatives market will enhance China's pricing power in international commodity markets, attracting more foreign investors and diversifying market participant structures [5] - The increasing complexity and variety of derivatives will help enterprises better manage operational costs and risks [5]