Stavros Kourtzidis is a Lecturer in Finance and Banking in the School of Business at the University of Dundee. He holds a BSc in Economics, an MSc in Applied Economics and a PhD in Economics from the University of Thessaly, Greece. During his PhD studies he has worked in various teaching and research roles at the University of Thessaly, including teaching assistant in Statistics and researcher at a ERDF project about GHGs emission scenarios and mitigation opportunities in Energy, Transport and Industrial sectors in Greece. Prior to joining the University in November 2017, he worked as an Adjunct Lecturer at the University of Macedonia, Greece.

Stavros’ research interests lie in the field of Efficiency & Productivity Analysis with a particular focus on financial institutions. Specifically, Stavros specialises in the modelling of non-parametric production functions in two (or more) stages and in the network data envelopment analysis (DEA) models. He has published, among others, in the European Journal of Operational Research, Journal of Banking & Finance and in the Journal of the Operational Research Society. His current work centres around four key topical areas in the area of banking and finance literature: 

1. the modelling of bank performance; 
2. portfolio efficiency;
3. advances in network DEA models; and 
4. advances in time series analysis such as asymmetric threshold cointegration analysis.

Since joining the University of Dundee, Stavros has been appointed as a Digital Champion at the School of Business, and under this role he coordinates and supports the adoption of digital learning technologies across the School. He also organises and chairs the Research Seminars for the School of Business and he is the PhD lead for the Accounting & Finance doctoral programme.

Research interests:

• Efficiency & Productivity Analysis
• Banking & Finance
• Operational Research
• Network Data Envelopment Analysis (DEA)

• Quantitative Methods (5QM)
• Econometrics for Finance (5EF)
• Bank Modelling and Performance Analysis (5BM)
• Research Methods (5RM)