The department’s research in this area aims to apply computational methodologies for the modelling, process and analysis of financial data. The challenges include the exploration and exploitation of the useful but hidden information embedded in the massive among of spatial and temporal data. Advanced machine learning and data mining approaches are studied and investigated for portfolio management, risk analysis, causal analysis, time series modelling and prediction.

  • Data driven risk analysis
  • Data mining for portfolio management
  • Time series prediction for finance data

Academic Staff: WAH Wan Sang Benjamin, CHAN Lai Wan, XU Lei