我国首个金融气象AI模型“熵机”发布

Core Viewpoint - The first financial meteorological AI model "Entropy Machine" has been launched in China, developed by Fudan University and the National Meteorological Information Center, aiming to explore the role of meteorological factors in financial asset pricing and provide innovative tools for risk management and investment decision-making [1][2]. Group 1: Model Development and Purpose - "Entropy Machine" is based on global meteorological reanalysis data and stock price-volume data, capable of predicting short-term returns for the majority of A-share market stocks [1]. - The model's validation shows that it accurately identifies industries highly sensitive to meteorological factors, such as renewable energy (wind and solar), traditional oil and chemical industries, construction, and agriculture, aligning with the World Meteorological Risk Management Association's listed industries [1]. Group 2: Investment Strategy and Performance - Investment strategies constructed based on the model's test results have demonstrated consistent positive returns during historical backtesting across multiple time periods, preliminarily validating the effectiveness and application potential of meteorological factors in the A-share market [1]. Group 3: Applications and Implications - The "Entropy Machine" has broad applications in the financial sector, allowing companies in climate-sensitive industries to manage climate risks and maintain market value [2]. - Financial institutions such as banks and insurance companies can utilize the model for risk control in equity pledge businesses and expand into innovative climate investment and financing [2]. - Investors can use the model as an auxiliary tool for quantitative investment, while academia can leverage its outputs to test and refine asset pricing theories [2].