鸣石基金袁宇：AI驱动量化投资全流程升级

Core Insights - The conference highlighted the significant role of AI technology in driving the comprehensive upgrade of quantitative investment processes, emphasizing that "extreme innovation and competition" are essential for quantitative firms to maintain a competitive edge [1][2] Group 1: AI Integration in Quantitative Investment - The quantitative research and investment process at Ming Shi Fund is divided into five key areas: factors, AI, portfolio optimization, risk control, and trading algorithms [1] - Over the past two years, the application of AI has expanded from focusing solely on alpha factor creation to permeating all aspects of portfolio optimization, risk management, and trading algorithms [1] - The transformation is described as AI evolving from a single component to a central role that integrates and enhances the other four areas of the investment process [1] Group 2: Strategic Initiatives and Market Outlook - To embrace the AI trend, Ming Shi Fund established an AI laboratory (G-Lab) in 2021 and a private cloud supercomputing center (Constellation Project) in 2022, investing heavily in AI-related hardware, software, and talent acquisition [2] - The Chinese equity market has shown strong recovery since September of last year, reflecting its independence and resilience as the world's second-largest economy, providing valuable diversification options for international investors [2] - The firm anticipates that the solid economic foundation in China and high investor enthusiasm for the stock market will create opportunities for quantitative investment firms to leverage their expertise and generate stable returns [2] Group 3: Future Industry Directions - The emphasis on "extreme innovation and competition" is crucial for quantitative firms to thrive in a rapidly evolving AI landscape [2] - Continuous technical iteration and application innovation are necessary for maintaining effective operations and a leading position in the challenging asset management industry [2]