【主题】Machine Learning and Finance
【报告人】马浩（助理教授，伦敦玛丽女王大学）
【时间】2023年9月22日周五14:30-15:30
【地点】经济学院710室
【语言】英文
【摘要】The guest lecture provides an accessible introduction to the impact of machine learning on finance. Beginning with a brief overview of key finance concepts, the session covers basic machine learning terminology before exploring real-world case studies of Machine Learning, such as algorithmic trading, fraud detection, and credit risk modeling. The lecture concludes by summarizing current limitations and future opportunities in this fast-evolving field. Attendees will gain valuable insights into how machine learning is changing financial practices and systems.
【报告人简介】Hao Ma is an Assistant Professor at the School of Economics and Finance, Queen Mary University of London. He obtained his Ph.D. degree at the Swiss Finance Institute (SFI) & Università della Svizzera italiana (USI, Lugano). He holds a master's degree from the University of Amsterdam and a bachelor's degree from Shandong University. His research interests include asset pricing, financial econometrics, machine learning, and AI. Currently, he is working on projects that combine econometrics with deep learning to solve big data problems in empirical asset pricing.