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Predikce využívající experimentální trhy
[Predictions using experimental markets]

Author

Listed:
  • Michal Hlaváček
  • Adam Geršl
  • Tomáš Cahlík
  • Michael Berlemann

Abstract

According to the effective market theory, the stock prize on an effective market is the best estimate of the stock's current value. This is the basic assumption for predictions using experimental markets. This article describes the first experimental market organised in the Czech Republic, the experimental political market for Czech parliamentary elections in June 2002. In the beginning we briefly describe the methodology of the predictions via electronic markets. Than we give some description of our market- number of traders, their individual results, development of the market activity in time, etc. Finally we compare the result of our election market with the traditional opinion polls. On the basis of his comparison we discuss the advantages and the limitations of the prediction using the experimental markets.

Suggested Citation

  • Michal Hlaváček & Adam Geršl & Tomáš Cahlík & Michael Berlemann, 2003. "Predikce využívající experimentální trhy [Predictions using experimental markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2003(6), pages 838-850.
    • Handle: RePEc:prg:jnlpol:v:2003:y:2003:i:6:id:441
    DOI: 10.18267/j.polek.441
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    References listed on IDEAS

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    1. Berlemann, Michael, 2001. "Forecasting inflation via electronic markets: Results from a prototype market," Dresden Discussion Paper Series in Economics 06/01, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    2. Klaus Beckmann & Martin Werding, 1996. "'Passauer Wahlbörse': Information Processing in a Political Market Experiment," Kyklos, Wiley Blackwell, vol. 49(2), pages 171-204, May.
    3. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
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    Citations

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    Cited by:

    1. Mikuláš Gangur & Miroslav Plevný, 2014. "Tools for Consumer Rights Protection in the Prediction of Electronic Virtual Market and Technological Changes," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(36), pages 578-578, May.
    2. Michael Berlemann, 2004. "Experimentelle Aktienmärkte als Instrumente der Konjunkturprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(16), pages 21-29, August.

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    More about this item

    Keywords

    experimental economics; experimental political markets; predictions; simulations;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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