An intelligent decision support framework for financial market risk using big data and optimised XGBoost

Key Points

• The aim is to develop a framework that enhances decision-making in financial market risk assessment using big data and XGBoost.
• Developed an intelligent decision support framework.
• Utilised big data for comprehensive risk analysis.
• Implemented optimised XGBoost for predictive modeling.
• The framework shows improved accuracy in predicting financial risks.
• Enhanced decision-making efficiency compared to traditional methods.