The delegation of Queen Mary University of London (QMUL) will visit the School of Finance, Renmin University of China (RUC) on Tuesday morning with an introduction to the School of Economics and Finance and a lecture entitled “Machine Learning and Finance”.
The event will be held in Room 714 of Mingde Main Building, and it’s open to all students.
Firstly, Professor Jason Sturgess, Head of School, will give an introduction to the School of Economics and Finance and an overview of Queen Mary’s School of Economics and Finance. Then Dr. Hao Ma, Lecturer at the School of Economics and Finance, will give a lecture entitled “Machine Learning and Finance”.
Introduction of two guests
Professor Jason Sturgess is the head of School and Professor of Financial Economics at the School of Economics and Finance at Queen Mary University of London. He was formerly a faculty member at Georgetown University’s McDonough School of Business and DePaul University’s Driehaus College of Business and Kellstadt Graduate School of Business. Professor Sturgess’ research focuses on corporate finance, including financial intermediation, regulation, and information economics, and asset pricing, including security lending markets, short selling, and limits to arbitrage. His research in these areas has been published in the Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Management Science, Journal of Financial and Quantitative Analysis, the Review of Finance, and Review of Corporate Finance Studies and other peer-reviewed journals. Their research has won multiple awards, including the BlackRock Inc. and National Association of Corporate Directors (NACD) Global Challenge for Innovation Award, an Institute for Quantitative Research in Finance (the Q Group) research grant, and the 2021 Best Paper award at the Review of Corporate Finance Studies. Sturgess’ work has been presented at numerous universities and governmental bodies worldwide. Professor Sturgess received a PhD in finance from London Business School. He worked in project finance and M&A before pursuing his Ph.D.
Dr Hao 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.
Abstract of the lecture
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.