Hadi Movaghari

Hadi Movaghari is an Adam Smith Career Development Fellow (PostDoctoral Researcher) at the Accounting & Finance department of Adam Smith Business School, University of Glasgow. His research bridges machine learning applications with financial technology and empirical finance.

His educational background includes:

• B.Sc. in Statistics from Razi University, Iran
• M.Sc. in Statistics from Tarbiat Modares University, Iran
• Ph.D. supported by College of Social Sciences Scholarship at University of Glasgow

Research focuses on machine learning in finance, corporate cash policy, and money demand analysis. His work employs advanced techniques including double machine learning, transfer entropy, and time-varying coefficient models to address critical questions in corporate finance and monetary economics. Recent publications demonstrate growing influence in top finance journals.

His 5 major publications (2022-2025) reveal strong concentration in:

• Machine learning applications in corporate finance (40%)
• Money demand stability and modeling (40%)
• Corporate cash holdings determinants (20%)

Key recognitions:

• British Academy endorsement for machine learning in finance (April 2025)
• 2024 PhD Excellence Award from Adam Smith Business School

Secured competitive grants including Wards Grant (£4,000) and Early/Mid-Career Research Mobility Grant (£3,000) in 2025. Teaching portfolio spans Fundamentals of Crowdfunding, Advanced Financial Modelling, and specialized courses in Data Science and Machine Learning in Finance.