Photographer: FEB

dr. D. (Dávid) Kopányi


  • Faculty of Economics and Business
    Section Quantitative Economics
  • Visiting address
    REC E
    Roetersstraat 11  Room number: E3.54
  • Postal address:
    Postbus  15867
    1001 NJ  Amsterdam
  • D.Kopanyi@uva.nl
    T: 0205254214
    T: 0205254252

For most recent information, please visit my personal website.

 

Current Position

Postdoctoral Researcher,

Center for Nonlinear Dynamics in Economics and Finance (CeNDEF),

Project: Behavioral and Experimental Analyses in Macro-finance (BEAM)

 

Research interests

agent-based modelling, bounded rationality and learning methods, industrial organization, dynamical systems

Education

PhD in Economics, University of Amsterdam (2015). Dissertation title: Bounded Rationality and Learning in Market Competition

MPhil in Economics (cum laude),  Tinbergen Institute (2011)  

MSc in Economics, Corvinus University of Budapest (2008)  

Curriculum Vitae 

2018

2017

2013

  • Anufriev, M., Kopányi, D., & Tuinstra, J. (2013). Learning Cycles in Bertrand Competition with Differentiated Commodities and Competing Learning Rules. Journal of Economic Dynamics & Control, 37(12), 2562-2581. DOI: 10.1016/j.jedc.2013.06.010  [details] 
  • Kopányi, D. (2013). Heterogeneous learning in Bertrand competition with differentiated goods. In A. Teglio, S. Alfarano, E. Camacho-Cuena, & M. Ginés-Vilar (Eds.), Managing market complexity: the approach of artificial economics (pp. 155-166). (Lecture Notes in Economics and Mathematical Systems; No. 662). Berlin / Heidelberg: Springer. DOI: 10.1007/978-3-642-31301-1_13  [details] 

Talk / presentation

  • Kopányi, D. (speaker) (2018). CORE Brown Bag seminar, Université Catholique de Louvain.
  • Kopányi, D. (speaker) (2018). Prices vs. returns in Learning-to-Forecast Experiments, 11th Maastricht Behavioral and Experimental Economics Symposium (M-BEES).
  • Kopányi, D. (speaker) (2018). The effect of loyalty in the Kirman and Vriend (2001) fish market model, 24th International Conference on Computing in Economics and Finance, Milan, Italy.
  • Kopányi, D. (speaker) (2018). Can successful forecasters help stabilize asset prices in a learning to forecast experiment?, BEAM-ABEE workshop 2018, Amsterdam, Netherlands.
  • Kopányi, D. (speaker) (2018). Oligopoly game: Price makers meet price takers, 45th Annual
    Conference of the European Association for Research in Industrial Economics, Athens, Greece.
  • Kopányi, D. (speaker) (2018). Oligopoly game: Price makers meet price takers, 14th
    European (formerly Spain-Italy-Netherlands) Meeting on Game Theory (SING14).
  • Kopányi, D. (speaker) (15-6-2017). Prices vs. Returns in Learning-to-Forecast Experiments, Experimental Finance, 2017, Nice, France.
  • Kopányi, D. (speaker) (13-6-2017). Prices vs. Returns in Learning-to-Forecast Experiments, The 22nd Workshop on Economic Science with Heterogeneous Interacting Agents, Milan, Italy.

Others

  • Kopányi, D. (participant) & Tuinstra, J. (participant) (2018). BEAM - ABEE Workshop 2018, Amsterdam, Netherlands (organising a conference, workshop, ...).

2018

  • Kopányi, D., Tuinstra, J., Rabanal, J. P., & Rud, O. (submitted). Can successful forecasters help stabilize asset prices in a learning to forecast experiment?

2015

  • Kopányi, D., & Kopányi-Peuker, A. (2015). Endogenous information disclosure in experimental oligopolies. (CREED working paper). Amsterdam: Center for Research in Experimental Economics and Political Decision Making, Universiteit van Amsterdam. [details] 

2014

  • Kopányi, D. (2014). Price-Quantity Competition under Strategic Uncertainty. (CeNDEF Working paper; No. 13-13). Amsterdam: University of Amsterdam. [details] 

2012

  • Anufriev, M., Kopányi, D., & Tuinstra, J. (2012). Learning cycles in Bertrand competition with differentiated commodities and competing learning rules. (CeNDEF Working Paper; No. 12-05). Amsterdam: CeNDEF, University of Amsterdam. [details] 
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library  or the Pure staff  of your faculty / institute. Log in to Pure  to edit your publications. Log in to Personal Page Publication Selection tool  to manage the visibility of your publications on this list.
  • No ancillary activities

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