IDEAS home Printed from https://ideas.repec.org/a/ris/integr/0068.html
   My bibliography  Save this article

Partial Credibility, Information Selection and the Signalling Channel of Sterilized Interventions

Author

Listed:
  • Fabian Reeves, Silke

    (The George Washington University)

Abstract

The signalling channel suggests that central banks use sterilized interven - tions in the foreign exchange market to convey information about future mone - tary policy to the market. To date, this theory is not sufficiently supported by theoretical work that establishes the link between intervention signals and exchange rates. This paper develops a two country model of sterilized interven - tions. I argue that reputational effects cannot eliminate the credibility problem between central banks and the private sector and that agents will only partially use available information to form exchange rate expectations. Both partial credibility and non-rational expectations reduce the effectiveness of interven - tions.

Suggested Citation

  • Fabian Reeves, Silke, 1998. "Partial Credibility, Information Selection and the Signalling Channel of Sterilized Interventions," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 13, pages 108-130.
    • Handle: RePEc:ris:integr:0068
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Mark P. Taylor & Lucio Sarno, 2001. "Official Intervention in the Foreign Exchange Market: Is It Effective and, If So, How Does It Work?," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 839-868, September.
    2. Yu-Fu Chen & Michael Funke & Nicole Glanemann, 2014. "The Signalling Channel of Central Bank Interventions: Modelling the Yen/US Dollar Exchange Rate," Open Economies Review, Springer, vol. 25(2), pages 311-336, April.

    More about this item

    Keywords

    Partial; Credibility;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    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:ris:integr:0068. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yunhoe Kim (email available below). General contact details of provider: https://edirc.repec.org/data/desejkr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.