Financial Market

Financial market research aims to understand and predict the complex dynamics of asset prices and trading behavior. Current research heavily utilizes machine learning, particularly deep learning architectures like LSTMs, GARCH models, and transformer networks, often combined with agent-based modeling and natural language processing techniques to analyze textual data (e.g., news, social media, regulatory filings). These advancements improve risk management, algorithmic trading strategies, and the detection of market anomalies, offering significant implications for both financial institutions and the broader scientific understanding of market behavior.