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Informational Contagion in the Laboratory

Author

Listed:
  • Marco Cipriani
  • Antonio Guarino
  • Giovanni Guazzarotti
  • Federico Tagliati
  • Sven Fischer

Abstract

We study the informational channel of financial contagion in the laboratory. In our experiment, two markets with privately informed subjects open sequentially. Subjects in the second market observe the history of trades and prices in the first market. Although in both markets private information is imperfectly aggregated, subjects in the second market make correct inferences from the information coming from the first market. As theory predicts, when fundamentals are correlated, contagion occurs in the laboratory; in contrast, with independent fundamentals, there is no contagion effect. In both cases, the correlation between asset prices is very close to the theoretical one.

Suggested Citation

  • Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    • Handle: RePEc:oup:revfin:v:22:y:2018:i:3:p:877-904.
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    1. Eichengreen, Barry & Rose, Andrew K & Wyplosz, Charles, 1996. "Contagious Currency Crises," CEPR Discussion Papers 1453, C.E.P.R. Discussion Papers.
    2. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    3. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    4. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    5. Kathy Yuan, 2005. "Asymmetric Price Movements and Borrowing Constraints: A Rational Expectations Equilibrium Model of Crises, Contagion, and Confusion," Journal of Finance, American Finance Association, vol. 60(1), pages 379-411, February.
    6. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    7. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    8. Michael Ehrmann & Marcel Fratzscher & Roberto Rigobon, 2011. "Stocks, bonds, money markets and exchange rates: measuring international financial transmission," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 948-974, September.
    9. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    10. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    11. Vernon L. Smith, 1962. "An Experimental Study of Competitive Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 70, pages 322-322.
    12. Copeland, Thomas E & Friedman, Daniel, 1991. "Partial Revelation of Information in Experimental Asset Markets," Journal of Finance, American Finance Association, vol. 46(1), pages 265-295, March.
    13. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    14. Edwards, Sebastian & Rigobon, Roberto, 2002. "Currency crises and contagion: an introduction," Journal of Development Economics, Elsevier, vol. 69(2), pages 307-313, December.
    15. John Geanakoplos & Ana Fostel, 2008. "Leverage Cycles and the Anxious Economy," American Economic Review, American Economic Association, vol. 98(4), pages 1211-1244, September.
    16. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    17. Grossman, Sanford, 1978. "Further results on the informational efficiency of competitive stock markets," Journal of Economic Theory, Elsevier, vol. 18(1), pages 81-101, June.
    18. Laura E. Kodres & Matthew Pritsker, 2002. "A Rational Expectations Model of Financial Contagion," Journal of Finance, American Finance Association, vol. 57(2), pages 769-799, April.
    19. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
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    Cited by:

    1. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
    2. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    3. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2022. "Bank instability: Interbank linkages and the role of disclosure," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Bayona, Anna & Peia, Oana, 2022. "Financial contagion and the wealth effect: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1184-1202.
    5. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    6. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2022. "Bank instability: Interbank linkages and the role of disclosure," Journal of Banking & Finance, Elsevier, vol. 134(C).
    7. repec:zbw:bofrdp:2020_014 is not listed on IDEAS

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    More about this item

    Keywords

    Financial contagion; Informational spillovers; Experimental finance;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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