走向现代数学学术报告 - 刘威副教授(No. 681)
题目:Data-Driven Multi-Period Mean-Variance Model for Asset Allocation Optimization
报告人:刘威 副教授(广东工业大学)
时间:2024年1月4日,15:00
地点:东海岸校区D209
摘要:In this talk, the speaker will introduce a Data-Driven formulation to investigate the multi-period mean-variance model with cash flow, liability and uncertain exit time. As this model can not be decomposed by a stage-wise backward recursion stage by stage on the basis of dynamic programming, it is a nonseparable problem. This work is devoted to resolving this nonseparability as well as searching analytical optimal solutions and numerical example.
报告人简介:刘威,博士,副教授。2017年毕业于香港理工大学获金融数学专业博士学位,现任广东工业大学金融系副教授。主要从事投资组合策略特别是公共支出分配最优化、可再生能源项目资产配置的研究。在国内外重要学术刊物 《IEEE Transactions on Industrial Informatics》、《Renewable Energy》、《Financial Innovation》等期刊发表论文10余篇,主持国家及省部级以上科研项目5项。