Investment Decision

Investment decision-making is undergoing a transformation driven by advancements in artificial intelligence and machine learning. Current research focuses on developing sophisticated models, including Long Short-Term Memory (LSTM) networks, large language models (LLMs) like GPT-4, and ensemble classifiers, to improve the accuracy of financial predictions and optimize portfolio strategies. These models leverage diverse data sources and incorporate techniques like multi-task learning and explainable AI to enhance both predictive power and interpretability. The resulting improvements in investment strategies have significant implications for both academic research in finance and the practical application of AI in financial markets.