Asset Class

Asset class research focuses on understanding the relationships and characteristics of different investment categories, aiming to improve portfolio management, risk assessment, and trading strategies. Current research employs diverse machine learning techniques, including federated learning for handling heterogeneous data across asset classes, deep learning for modeling asset correlations and predicting price movements, and large language models for automating asset management tasks. These advancements offer significant potential for enhancing the efficiency and accuracy of financial modeling and decision-making, impacting both academic research and practical applications in finance.