Financial Risk Factors with Graph Learning-based Risk Forecasting

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This project aims to develop combined AI-based data models to enhance the accuracy of uncertaintyquantification as risk factors (e.g. default) financial markets. The project will work closely with industryleading firms and data providers and will have real-world case studies. The proposed approaches willprovide industry partners with an innovative risk factor identification tool for the UK investment markets.The project aims to make tools and methodologies validated in operational environments and enhancethe industry's ability to assess, manage, reduce, and mitigate their financial risks.