Financial Risk Factors with Graph Learning-based Risk Forecasting

金融风险因素与基于图学习的风险预测

• 批准号: 2753236
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2753236
• 关键词: Financial; Risk; Factors; Graph; Learning

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.

该项目旨在开发基于人工智能的综合数据模型，以提高不确定性量化作为风险因素（如违约）金融市场的准确性。该项目将与行业领先的公司和数据提供商密切合作，并将进行实际案例研究。拟议的方法将为英国投资市场的行业合作伙伴提供一种创新的风险因素识别工具。该项目旨在使工具和方法在操作环境中得到验证，并增强行业评估、管理、减少和减轻财务风险的能力。