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• Corporate Finance
• Banking and Financial Institutions
• Corporate Governance
• +9 more

Iftekhar Hasan is the E. Gerald Corrigan Professor of Finance at the Gabelli School of Business, Fordham University. He holds significant research affiliations with the Bank of Finland and the University of Sydney, reflecting his international academic presence. His scholarly work spans corporate finance, banking, governance, ESG, and FinTech. His research interests include corporate governance, financial regulation, banking efficiency, tax aggressiveness, social capital, and the impact of technology on monetary policy. He frequently publishes in top journals such as Journal of Financial Economics , Contemporary Accounting Research , and Review of Accounting Studies . His recent publications (2020–2025) focus on climate-related disclosures, WealthTech, technological innovation in banking, and corporate culture. These works reveal a strong emphasis on sustainability, digital transformation, and behavioral aspects of finance. His scientific impact is evident through his SSRN rankings: Top 349 in downloads and Top 355 in citations, with over 96,000 downloads and 1,980 citations across 292 papers. He collaborates extensively with researchers globally, particularly in Europe and Asia. He has advised or co-authored with numerous junior scholars, including Qiang Wu, Bill Francis, Chun Keung Hoi, and Xian Sun, indicating a strong mentorship role. He is involved in research on SME lending, competition policy, and financial inclusion, often supported by institutions like the Bank of Finland and ECB. He is associated with research teams focusing on financial stability, banking in transition economies, and digital finance. His work frequently appears in BOFIT, BIS, and ECB working paper series, suggesting institutional grant support and policy relevance.

Matthias BuehlmaierView profile

Associate Professor

• Quantamental Investing
• Text Analytics in Finance
• Natural Language Processing in Finance
• +11 more

Matthias Buehlmaier is an Associate Professor of Teaching in Finance and Principal Lecturer at HKU Business School, University of Hong Kong, where he also serves as the BBA (IBGM) Programme Director. He holds a Ph.D. in Finance from Vienna Graduate School of Finance (WU Vienna), an M.S. in Mathematics from Texas A&M University, and a Vordiplom in Applied Mathematics from Ulm University, Germany. His research interests span quantamental investing, text analytics and natural language processing in finance, machine learning applications in financial markets, asset pricing, and market efficiency. He has pioneered the first university course worldwide on text analytics and NLP in finance, developed in 2018 and taught annually since then. His work bridges traditional finance with cutting-edge data science techniques, particularly focusing on how textual information affects financial markets and investment decisions. Buehlmaier has published in top finance journals including the Review of Financial Studies and Review of Finance, with research featured in the Harvard Law School Forum on Corporate Governance. His work on text analytics in finance has been particularly influential, demonstrating how textual analysis of financial media can inform investment strategies and market understanding. He has received numerous teaching and research awards including HKU's Outstanding Teaching Award, multiple Faculty Outstanding Teaching Awards, the Teaching Innovation Award, and the Hong Kong Asian Capital Markets Research Prize from HKSFA. His industry engagement includes connections with practitioners, regulators, and policy makers, with a focus on knowledge exchange and practical application of academic research. Buehlmaier has held visiting positions as a Fellow at University of Cambridge (Hughes Hall and Cambridge Judge Business School) through the Doris Zimmern HKU-Cambridge Hughes Hall Fellowship, and as a Visiting Scholar at Regensburg University's Department of Finance. Since April 2020, he has been an Advance HE Fellow, reflecting his commitment to excellence in higher education.

• Quantitative Finance
• Portfolio Theory
• Financial Technology (FinTech)
• +3 more

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.