IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v8y2008i5p513-532.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Andrea Morone, 2008. "Financial markets in the laboratory: an experimental analysis of some stylized facts," Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 513-532.
  • Handle: RePEc:taf:quantf:v:8:y:2008:i:5:p:513-532
    DOI: 10.1080/14697680701463786
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/14697680701463786
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Lux, Thomas & Sornette, Didier, 2002. "On Rational Bubbles and Fat Tails," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(3), pages 589-610, August.
    4. Iori, Giulia, 2002. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 269-285, October.
    5. 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.
    6. 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.
    7. Youssefmir, Michael & Huberman, Bernardo A., 1997. "Clustered volatility in multiagent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 32(1), pages 101-118, January.
    8. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    9. Cars Hommes & Joep Sonnemans & Jan Tuinstra & Henk van de Velden, 2005. "Coordination of Expectations in Asset Pricing Experiments," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 955-980.
    10. 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.
    11. 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 1119-1151, September.
    12. 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.
    13. 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.
    14. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    15. Hommes, C.H., 2001. "Modeling the stylized facts in finance through simple nonlinear adaptive systems," CeNDEF Working Papers 01-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Piergiuseppe Morone, 2004. "Investigating The Effects Of Information On Income Distribution Using Experimental Data," Experimental 0407005, EconWPA.
    17. repec:cdl:ucsbec:13-89 is not listed on IDEAS
    18. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    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. Orosel, Gerhard O., 1996. "Informational efficiency and welfare in the stock market," European Economic Review, Elsevier, vol. 40(7), pages 1379-1411, August.
    21. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    22. Lux, T. & M. Marchesi, "undated". "Volatility Clustering in Financial Markets: A Micro-Simulation of Interacting Agents," Discussion Paper Serie B 437, University of Bonn, Germany, revised Jul 1998.
    23. Green, Jerry R, 1981. "Value of Information with Sequential Futures Markets," Econometrica, Econometric Society, vol. 49(2), pages 335-358, March.
    24. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
    25. Hommes, C.H. & Sonnemans, J. & Tuinstra, J. & Velden, H. van de, 2004. "Coordination of Expectations in Asset Pricing Experiments (Version March 2004)," CeNDEF Working Papers 04-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    26. 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.
    27. Eckwert, Bernhard & Zilcha, Itzhak, 2001. "The Value of Information in Production Economies," Journal of Economic Theory, Elsevier, vol. 100(1), pages 172-186, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Morone, Andrea & Nuzzo, Simone, 2016. "Do Markets (Institutions) Drive Out Lemmings or Vice Versa?," EconStor Preprints 146917, ZBW - German National Library of Economics.
    2. Morone, Andrea & Nuzzo, Simone, 2015. "Market Efficiency, Trading Institutions and Information Mirages: evidence from an experimental asset market," MPRA Paper 67448, University Library of Munich, Germany.
    3. repec:eee:beexfi:v:13:y:2017:i:c:p:42-50 is not listed on IDEAS
    4. Giovanni Ferri & Andrea Morone, 2014. "The effect of rating agencies on herd behaviour," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 107-127, April.
    5. Andrea Morone & Eleni Samanidou, 2008. "A simple note on herd behaviour," Journal of Evolutionary Economics, Springer, vol. 18(5), pages 639-646, October.
      • Andrea Morone & Eleni Samanidou, 2007. "A simple note on Herd Behaviour," SERIES 0013, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Feb 2007.
    6. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    7. Morone, Andrea & Fiore, Annamaria & Sandri, Serena, 2007. "On the absorbability of herd behaviour and informational cascades: an experimental analysis," Dresden Discussion Paper Series in Economics 15/07, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    8. 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.
    9. 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).
    10. repec:eee:phsmap:v:496:y:2018:i:c:p:593-601 is not listed on IDEAS

    More about this item

    Keywords

    Herd behaviour; Fat tail volatility clustering;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:quantf:v:8:y:2008:i:5:p:513-532. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.