熵机模型发布：AI预测A股回报，助力金融气象应用

Core Insights - The "Entropy Machine" AI model, the first financial meteorological AI model in China, was launched at the second Financial Meteorology Academic Annual Conference in Guangzhou, developed by Fudan University and the National Meteorological Information Center [1][3]. Group 1: Model Overview - The "Entropy Machine" model is constructed 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 [3]. - Validation results indicate that the model effectively identifies industries highly sensitive to meteorological factors, such as renewable energy (wind and solar power), traditional petroleum and chemical industries, construction, and agriculture, aligning with classifications from the World Meteorological Risk Management Association [3]. Group 2: Investment Strategy and Applications - Investment strategies developed from the model's testing and inference results have shown consistent and stable positive returns during historical backtesting across multiple time periods [3]. - The model has broad applications in the financial sector, allowing listed companies in meteorologically sensitive industries to manage climate risks and maintain market value; banks and insurance companies can utilize it for risk control in equity pledge businesses and explore innovative climate financing models; investors can use it as a quantitative investment tool; and academia can leverage model outputs to test and refine asset pricing theories [3]. Group 3: Purpose and Future Implications - The release of the model aims to explore the role of meteorological factors in financial asset pricing, providing innovative tools for risk management and investment decision-making [3]. - Its application is expected to support the construction of intelligent financial service systems and quantitative assessments of meteorological risks [3].