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Speculative Attack and Informational Structure: An Experimental Study

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  • Camille Cornand

    (GATE CNRS)

Abstract

This paper addresses the question whether public information destabilises the economy in the context of signals of different nature. We present an experiment on the speculative attack game of Morris and Shin (1998). Our objective is double: (i) evaluating whether public information destabilises the economy in a context of signals of different nature; and (ii) enlarging the results of Heinemann, Nagel and Ockenfels (2002). Our evidence suggests that in sessions with both private and common signals, the fact that the public signal plays a focal role enhances the central bank’s welfare: it reduces the probability of crisis and increases its predictability. In terms of economic policy, the central bank has more control on the beliefs of traders if it discloses one clear signal when agents also get private information from other sources.

Suggested Citation

  • Camille Cornand, 2004. "Speculative Attack and Informational Structure: An Experimental Study," Working Papers 0407, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Handle: RePEc:gat:wpaper:0407
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    References listed on IDEAS

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    1. Christina E. Metz, 2002. "Private and Public Information in Self-fulfilling Currency Crises," Journal of Economics, Springer, vol. 76(1), pages 65-85, May.
    2. Heinemann, Frank & Illing, Gerhard, 2002. "Speculative attacks: unique equilibrium and transparency," Journal of International Economics, Elsevier, vol. 58(2), pages 429-450, December.
    3. Morris, Stephen & Shin, Hyun Song, 1998. "Unique Equilibrium in a Model of Self-Fulfilling Currency Attacks," American Economic Review, American Economic Association, vol. 88(3), pages 587-597, June.
    4. Peter Ockenfels & Rosemarie Nagel & Frank Heinemann, 2002. "Speculative Attacks and Financial Architecture: Experimental Analysis of Coordination Games with Public and Private Information," FMG Discussion Papers dp416, Financial Markets Group.
    5. Obstfeld, Maurice, 1996. "Models of currency crises with self-fulfilling features," European Economic Review, Elsevier, vol. 40(3-5), pages 1037-1047, April.
    6. Sbracia, Massimo & Zaghini, Andrea, 2001. "Expectations and information in second generation currency crises models," Economic Modelling, Elsevier, vol. 18(2), pages 203-222, April.
    7. Morris, Stephen & Shin, Hyun Song, 2004. "Coordination risk and the price of debt," European Economic Review, Elsevier, vol. 48(1), pages 133-153, February.
    8. Antonio Cabrales & Rosemarie Nagel & Roc Armenter, 2007. "Equilibrium selection through incomplete information in coordination games: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 10(3), pages 221-234, September.
    9. Hellwig, Christian, 2002. "Public Information, Private Information, and the Multiplicity of Equilibria in Coordination Games," Journal of Economic Theory, Elsevier, vol. 107(2), pages 191-222, December.
    10. Frank Heinemann, 2002. "Exchange-rate Attack as a Coordination Game: Theory and Experimental Evidence," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(4), pages 462-478.
    11. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    12. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2004. "The Theory of Global Games on Test: Experimental Analysis of Coordination Games with Public and Private Information," Econometrica, Econometric Society, vol. 72(5), pages 1583-1599, September.
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    Citations

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    Cited by:

    1. Camille Cornand & Frank Heinemann, 2014. "Measuring agents’ reaction to private and public information in games with strategic complementarities," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 61-77, March.
    2. Külpmann, Philipp & Khantadze, Davit, 2016. "Identifying the reasons for coordination failure in a laboratory experiment," Center for Mathematical Economics Working Papers 567, Center for Mathematical Economics, Bielefeld University.
    3. Trabelsi, Emna, 2010. "Central bank communication: fragmentation as an engine for limiting the publicity degree of information," MPRA Paper 26647, University Library of Munich, Germany.
    4. Romain Baeriswyl & Camille Cornand, 2014. "Reducing Overreaction To Central Banks' Disclosures: Theory And Experiment," Journal of the European Economic Association, European Economic Association, vol. 12(4), pages 1087-1126, August.
    5. Camille Cornand & Frank Heinemann, 2008. "Optimal Degree of Public Information Dissemination," Economic Journal, Royal Economic Society, vol. 118(528), pages 718-742, April.
    6. Jean-Pierre Allegret & Camille Cornand, 2006. "The pros and cons of higher transparency: the case of speculative attacks," Recherches économiques de Louvain, De Boeck Université, vol. 72(3), pages 215-246.
    7. Goryunov, Maxim & Rigos, Alexandros, 2022. "Discontinuous and continuous stochastic choice and coordination in the lab," Journal of Economic Theory, Elsevier, vol. 206(C).
    8. Cheung, Yin-Wong & Friedman, Daniel, 2009. "Speculative attacks: A laboratory study in continuous time," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1064-1082, October.
    9. Shurchkov, Olga, 2016. "Public announcements and coordination in dynamic global games: Experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 61(C), pages 20-30.
    10. Camille Cornand & Frank Heinemann, 2006. "Publicité limitée de l'information et sur-réaction aux annonces lors des épisodes spéculatifs," Revue économique, Presses de Sciences-Po, vol. 57(3), pages 399-405.
    11. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    12. John Van Huyck & Ajalavat Viriyavipart & Alexander L. Brown, 2018. "When less information is good enough: experiments with global stag hunt games," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 527-548, September.
    13. George-Marios Angeletos & Chen Lian, 2016. "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination," NBER Working Papers 22297, National Bureau of Economic Research, Inc.
    14. Helland, Leif & Iachan, Felipe S. & Juelsrud, Ragnar E. & Nenov, Plamen T., 2021. "Information quality and regime change: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 538-554.
    15. Sergio Currarini & Francesco Feri & Bjoern Hartig & Miguel A. Meléndez-Jiménez, "undated". "To Share or Not to Share: An Experiment on Information Transmission in Networks," Discussion Papers in Economics 20/08, Division of Economics, School of Business, University of Leicester.
    16. John Duffy, 2008. "Macroeconomics: A Survey of Laboratory Research," Working Paper 334, Department of Economics, University of Pittsburgh, revised Jun 2014.
    17. Sanjay Banerjee & Michael Maier, 2016. "Public Information Precision and Coordination Failure: An Experiment," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 941-986, September.
    18. Kneeland, Terri, 2016. "Coordination under limited depth of reasoning," Games and Economic Behavior, Elsevier, vol. 96(C), pages 49-64.
    19. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.

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    More about this item

    Keywords

    Speculative attacks; Private information; Public Information;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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