Wing Cheung

Dr. Wing Cheung is a faculty member at the Faculty of Business and Law, specializing in quantitative finance and FinTech. With a PhD in Mathematical Financial Modeling from the University of Cambridge, his research bridges the gap between academic theory and industry practice.

• Education: PhD in Financial Economics, University of Cambridge (Credit Risk Modelling).

His research focuses on unifying modern portfolio theory with active decision-making, integrating behavioral finance, AI, and RegTech innovations. Key projects include developing the Augmented Black-Litterman (ABL) model and exploring parsimonious principles for portfolio optimization.

Recent publications highlight advancements in investor behavior modeling, subjectivity in portfolio selection, and AI-driven financial strategies. His work has influenced global fund management practices and earned recognition from institutions like Accenture, Alibaba, and Institutional Investor.

Scientific Awards:

• Accenture FinTech Innovation Lab: Top8 (2016)
• Alibaba Jumpstarter Competition: No.1 in FinTech Vertical (2017)
• Hong Kong ICT Awards: Best FinTech Gold Award (2016)
• Institutional Investor: No.1 Team in European Quantitative Research Survey (2010)

Dr. Cheung has supervised PhD-level analysts, peer-reviewed for journals like the European Journal of Operational Research, and delivered invited talks on AI applications in finance and digital investment strategies.