ArtInHCI2024 Session: Research on the Application of Artificial Intelligence in Finance (ArtInHCI’24- AAIF) is conducted under the 2nd International Conference on Artificial Intelligence and Human-Computer Interaction, held during October 25-27, 2024 in Kunming. Traditional models in finance cannot effectively depict the highly complex nonlinear characteristics of the stock market; On the other hand, they only use the asset return sequence as a single indicator for characterization and prediction, without taking into account other trading information and investor attention factors. The fitting of nonlinear relationships and strong data feature learning ability of deep learning models can provide new ideas for improving prediction accuracy. This workshop mainly focuses on the application research of artificial intelligence algorithms in economics and finance.

Topics include but are not limited to:

• Application of deep learning models in futures prediction, stock price prediction, commodity prediction, etc
• Application of empirical mode decomposition and deep learning algorithms in volatility and risk forecasting, etc
• Hybrid traditional econometric models with deep learning model for stock price prediction, etc

ArtInHCI’24-AAIF Committee Member