Dr Alexander Kovalenkov
- Reader (Economics)
email:
Alexander.Kovalenkov@glasgow.ac.uk
Room 239A, Gilbert Scott Building, Glasgow G12 8QQ
Biography
Alexander joined the Business School in September 2005. He previously held a post at the University of North Carolina at Chapel Hill (USA) 1998–2005 and, during that period, acted as a visiting scholar at the California Institute for Technology; New York University; University of Warwick and as a Research Fellow at Washington University. He holds degrees from St Petersburg State University, Russia and Universitat Autonoma de Barcelona, Spain.
Research interests
Alexander is a member of the Microeconomics research cluster.
Areas of expertise:
- Microeconomics
- Asset pricing
- Game theory
- Mechanism design
- General equilibrium
Publications
Selected publications
Kovalenkov, A. and Vives, X. (2014) Competitive rational expectations equilibria without apology. Journal of Economic Theory, 149(1), pp. 211-235. (doi: 10.1016/j.jet.2013.05.002)
Kovalenkov, A. and Wooders, M. (2003) Approximate cores of games and economies with clubs. Journal of Economic Theory, 110(1), pp. 87-120. (doi: 10.1016/S0022-0531(03)00003-6)
Kovalenkov, A. (2002) Simple strategy-proof approximately Walrasian mechanisms. Journal of Economic Theory, 103(2), pp. 475-487. (doi: 10.1006/jeth.2000.2788)
All publications
Grants
IBM Fund Award, UNC-Chapel Hill (2000)
Latane Fund Social Science Faculty Research Award, UNC-Chapel Hill (2000)
University Research Council Small Research Grant, UNC-Chapel Hill (2000-2002)
DGICYT Grants (as part of UAB research group), UAB, Spain (1995-1998)
Supervision
Research interests include Game Theory, Economies with Clubs, Theory of Incentives, Social Choice, Information Economics, and General Equilibrium
Teaching
Undergraduate:
- Microeconomics (Level 1; Level 2 /Intermediate; Honours);
- Economics of Industry (Honours);
- Introductory Mathematics for Economists
Postgraduate:
- Mathematical Finance;
- Financial Sector Stability and Growth;
- Microeconomics; Mathematics for Economists;
- Quantitative Methods for Finance;
- Quantitative Methods for Planning – Optimal Decision Making
PhD, MSc and Honours Supervision