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Financial markets in the laboratory: an experimental analysis of some stylized facts

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  • Andrea Morone

Abstract

This paper provides 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 investigate the effect of the quantity and quality of information present in a financial market upon its stylized facts, showing how both the quality and quantity of information might have an impact on volatility clustering and the emergence of fat tail returns.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Quantitative Finance.

Volume (Year): 8 (2008)
Issue (Month): 5 ()
Pages: 513-532

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Handle: RePEc:taf:quantf:v:8:y:2008:i:5:p:513-532

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Related research

Keywords: Herd behaviour; Fat tail volatility clustering;

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References

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  1. Green, Jerry R, 1981. "Value of Information with Sequential Futures Markets," Econometrica, Econometric Society, vol. 49(2), pages 335-58, March.
  2. 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.
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  4. Thomas Lux & D. Sornette, 1999. "On Rational Bubbles and Fat Tails," Papers cond-mat/9910141, arXiv.org.
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  6. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
  7. Dennis Jansen & Casper de Vries, 1988. "On the frequency of large stock returns: putting booms and busts into perspective," Working Papers 1989-006, Federal Reserve Bank of St. Louis.
  8. 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.
  9. 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.
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  11. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2000. "Bifurcation Routes to Volatility Clustering," CeNDEF Working Papers 00-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
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  13. Annamaria Fiore & Andrea Morone, 2005. "Is playing alone in the darkness sufficient to prevent informational cascades?," Experimental 0503002, EconWPA.
  14. Eckwert, Bernhard & Zilcha, Itzhak, 2001. "The Value of Information in Production Economies," Journal of Economic Theory, Elsevier, vol. 100(1), pages 172-186, September.
  15. Piergiuseppe Morone, 2004. "Investigating The Effects Of Information On Income Distribution Using Experimental Data," Experimental 0407006, EconWPA.
  16. Giulia Iori, 1999. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Finance 9905005, EconWPA.
  17. repec:fth:calaec:13-89 is not listed on IDEAS
  18. Gaunersdorfer, A. & Hommes, C.H., 2005. "A nonlinear structural model for volatility clustering," CeNDEF Working Papers 05-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  19. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
  20. 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.
  21. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
  22. 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.
  23. 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.
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Citations

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Cited by:
  1. Kurz, Claudia & Kurz-Kim, Jeong-Ryeol, 2013. "What determines the dynamics of absolute excess returns on stock markets?," Economics Letters, Elsevier, vol. 118(2), pages 342-346.
  2. Morone, Andrea & Fiore, Annamaria & Sandri, Serena, 2008. "On The Absorbability Of Herd Behaviour And Informational Cascades: An Experimental Analysis," MPRA Paper 6884, University Library of Munich, Germany.
  3. Giovanni Ferri & Andrea Morone, 2014. "The effect of rating agencies on herd behaviour," Journal of Economic Interaction and Coordination, Springer, vol. 9(1), pages 107-127, April.
  4. Andrea Morone & Eleni Samanidou, 2007. "A simple note on Herd Behaviour," series 0013, Dipartimento di Scienze Economiche e Metodi Matematici - Università di Bari, revised Feb 2007.
  5. Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Stylized facts of CO2 returns," Working Papers. Serie AD 2012-14, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

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