IDEAS home Printed from https://ideas.repec.org/a/eme/ijaimp/v20y2012i2p100-113.html
   My bibliography  Save this article

Comparison of two parameterizations of the winner's curse model in a sample of Swedish Treasury auctions

Author

Listed:
  • Xue Wang

Abstract

Purpose - The purpose of this paper is to examine the underpricing effect in Treasury auctions. Design/methodology/approach - The paper compares two winner's curse models using a dataset on multi‐unit auctions. The dataset is from Swedish Treasury auctions, which is under a discriminatory auction mechanism. One model is a single‐unit equilibrium model assuming that each bidder bids for 100 percent of the auctioned securities, which is described by Wilson and solved by Levin and Smith. The other model is a multi‐unit model calibrated by Goldreich using the US Treasury auctions data and assumes that each bidder bids for one unit of the auctioned securities. Findings - The empirical results show that, although both models work well in predicting the bid‐shading, the multi‐unit model fits the Swedish Treasury auctions data better than the single‐unit model. Research limitations/implications - The evidence implies that bidders rationally adjust their bids due to the winner's curse/champion's plague. Originality/value - This study provides close quantitative predictions of the amount of bid‐shading using both single‐unit model of Wilson and multi‐unit model of Goldreich, and indicates that winner's curse or champion's plague worries bidders in countries other than the USA.

Suggested Citation

  • Xue Wang, 2012. "Comparison of two parameterizations of the winner's curse model in a sample of Swedish Treasury auctions," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 20(2), pages 100-113, May.
  • Handle: RePEc:eme:ijaimp:v:20:y:2012:i:2:p:100-113
    DOI: 10.1108/18347641211218434
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/18347641211218434/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/18347641211218434/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/18347641211218434?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    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:eme:ijaimp:v:20:y:2012:i:2:p:100-113. 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: Emerald Support (email available below). General contact details of provider: .

    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.