Roman Matousek

Professor Roman Matousek is a Professor of Financial Economics at Queen Mary University of London (QMUL), affiliated with the Department of Business Analytics and Applied Economics. He is also a member of the prestigious Chartered Association of Business Schools (ABS) International Committee. His roles include leadership in research, such as Director of Research Excellence and Director of the Global Centre for Banking and Financial Innovation (GCBFI) at the University of Nottingham. He holds honorary and visiting roles at institutions like Tongji University (China), the University of Dundee (Scotland), and SEACEN Centre (Malaysia), where he leads a project on cross-border interbank contagion risk analysis.

Matousek’s research focuses on international banking, financial innovation, monetary economics, and Fintech. He has collaborated extensively with universities in China, Europe, and North America. His work bridges theoretical and applied finance, with a particular emphasis on emerging markets. He serves on editorial boards of top journals, including the Journal of Banking & Finance and the Journal of International Financial Markets, Institutions & Money.

His recent publications explore topics such as bank efficiency, nonperforming loans, and the impact of corporate social responsibility on innovation. He has co-authored major works like The Palgrave Handbook of FinTech and Blockchain (2021) and Cross-Border Interbank Contagion Risk Analysis (2020). His research often addresses global financial systems, policy uncertainty, and the evolution of banking practices post-financial crisis.

• Scientific Awards: Recipient of the prestigious Pew Fellowship (Georgetown University).
• Editorial Roles: Associate Editor of the Journal of Banking & Finance and Managing Editor of the International Journal of Monetary Economics and Finance.
• Labs/Teams: Active member of the Centre for Globalisation Research (CGR) at QMUL.

Matousek advises doctoral students on topics like bank-firm linkages and liquidity creation. His work integrates advanced methodologies such as Data Envelopment Analysis and machine learning to analyze financial systems and policy impacts.