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Speculative Attacks with Multiple Sources of Public Information

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  • Frank Heinemann
  • Camille Cornand

Abstract

We propose a speculative attack model in which agents receive multiple public signals. It is characterised by its focus on an informational structure, which sets free from the strict separation between public information and private information. Diverse pieces of public information can be taken into account differently by players and are likely to lead to different appreciations ex post. This process defines players’ private value. The main result is to show that equilibrium uniqueness depends on two conditions: (i) signals are sufficiently dispersed (ii) private beliefs about the relative precision of these signals sufficiently differ. We derive some implications for information dissemination policy. Transparency in this context is multi-dimensional: it concerns the publicity of announcements, the number of signals disclosed as well as their precision. Especially, it seems that the central bank has better not publishing its forecast errors in order to maintain stability. An illustration to our analysis is the recent debate concerning the optimal monetary policy committee structure of central banks. Keywords: Speculative attack – coordination game – multiple equilibria – public and private information – transparency. JEL Classification: F31 – D82.

Suggested Citation

  • Frank Heinemann & Camille Cornand, 2006. "Speculative Attacks with Multiple Sources of Public Information," FMG Discussion Papers dp570, Financial Markets Group.
  • Handle: RePEc:fmg:fmgdps:dp570
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. George-Marios Angeletos & Chen Lian, 2016. "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination," NBER Working Papers 22297, National Bureau of Economic Research, Inc.
    4. Jean-Marc Tallon, 2006. "Incertitude stratégique et sélection d'équilibre : deux applications," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 6-6.
    5. Silvia Sonderegger, 2010. "Centralized Or Decentralized Information: Which Is Better For Providing Incentives?," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 290-305, April.
    6. Gonzalo Llosa & Vicente Tuesta & Marco Vega, 2006. "A BVAR Forecasting Model for Peruvian Inflation," Money Affairs, CEMLA, vol. 0(2), pages 117-141, July-Dece.
    7. Daniëls, Tijmen R. & Jager, Henk & Klaassen, Franc, 2011. "Currency crises with the threat of an interest rate defence," Journal of International Economics, Elsevier, vol. 85(1), pages 14-24, September.
    8. Kenneth Coates, 2006. "Measurement Problems in Household International Remittances," Money Affairs, CEMLA, vol. 0(2), pages 95-115, July-Dece.
    9. Isabelle Strauss-Kahn, 2006. "Secrecy in Foreign exchange Interventions: the Point of View of a Practitioner in a European Context," Money Affairs, CEMLA, vol. 0(2), pages 159-179, July-Dece.
    10. Trevor Campbell, 2006. "The Impact of Barbados’ Investment Climate on its Foreign Direct Investment Inflows," Money Affairs, CEMLA, vol. 0(2), pages 143-157, July-Dece.

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    Keywords

    speculative attack – coordination game – multiple equilibria – public and private information – transparency. jel classification: f31 – d82.;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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