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Financial Market in the Laboratory, an Experimental Analysis of some Stylized Facts

  • Andrea Morone


This paper purports to provide experimental evidence explaining a number of stylized facts associated with the behaviour of financial returns, in particular, the fat tailed nature of their distribution and the persistence in their volatility. By means of a laboratory experiment, we will investigate the effect of quantity and quality of information, present in a financial market, upon its stylized facts, showing how both quality and quantity of information might have an impact on volatility clustering and the emergence of fat tail returns.

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Paper provided by Max Planck Institute of Economics, Strategic Interaction Group in its series Papers on Strategic Interaction with number 2005-27.

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Length: 38 pages
Date of creation: Nov 2005
Date of revision:
Handle: RePEc:esi:discus:2005-27
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  1. Annamaria Fiore & Andrea Morone, 2005. "Is playing alone in the darkness sufficient to prevent informational cascades?," Papers on Strategic Interaction 2005-09, Max Planck Institute of Economics, Strategic Interaction Group.
  2. Andrea Gaunersdorfer & Cars Hommes & Florian O.O. Wagener, 2001. "Bifurcation Routes to Volatility Clustering," Tinbergen Institute Discussion Papers 01-015/1, Tinbergen Institute.
  3. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
  4. Giulia Iori, 2000. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Finance 0004007, EconWPA.
  5. Gaunersdorfer, A. & Hommes, C.H., 2000. "A Nonlinear Structural Model for Volatility Clustering," CeNDEF Working Papers 00-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  6. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
  7. Green, Jerry R, 1981. "Value of Information with Sequential Futures Markets," Econometrica, Econometric Society, vol. 49(2), pages 335-58, March.
  8. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
  9. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
  10. Orosel, Gerhard O., 1996. "Informational efficiency and welfare in the stock market," European Economic Review, Elsevier, vol. 40(7), pages 1379-1411, August.
  11. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
  12. Thomas Lux & D. Sornette, 1999. "On Rational Bubbles and Fat Tails," Papers cond-mat/9910141,
  13. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-51, September.
  14. Jansen, Dennis W & de Vries, Casper G, 1991. "On the Frequency of Large Stock Returns: Putting Booms and Busts into Perspective," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 18-24, February.
  15. Eckwert, Bernhard & Zilcha, Itzhak, 2001. "The Value of Information in Production Economies," Journal of Economic Theory, Elsevier, vol. 100(1), pages 172-186, September.
  16. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
  17. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 2010. "A theory of Fads, Fashion, Custom and cultural change as informational Cascades," Levine's Working Paper Archive 1193, David K. Levine.
  18. Youssefmir, Michael & Huberman, Bernardo A., 1997. "Clustered volatility in multiagent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 32(1), pages 101-118, January.
  19. Longin, Francois M, 1996. "The Asymptotic Distribution of Extreme Stock Market Returns," The Journal of Business, University of Chicago Press, vol. 69(3), pages 383-408, July.
  20. Lux, T. & M. Marchesi, . "Volatility Clustering in Financial Markets: A Micro-Simulation of Interacting Agents," Discussion Paper Serie B 437, University of Bonn, Germany, revised Jul 1998.
  21. Edward E. Schlee, 2001. "The Value of Information in Efficient Risk-Sharing Arrangements," American Economic Review, American Economic Association, vol. 91(3), pages 509-524, June.
  22. Piergiuseppe Morone, 2004. "Investigating The Effects Of Information On Income Distribution Using Experimental Data," Experimental 0407006, EconWPA.
  23. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
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