IDEAS home Printed from https://ideas.repec.org/p/hhs/hastef/0332.html
   My bibliography  Save this paper

Efficient estimation of price adjustment coefficients

Author

Listed:

Abstract

The price adjustment coefficient model of Amihud and Mendelson (1987) is shown to be suitable for estimation by the Kalman filter. A techique that, under some commonly used conditions, is asymptotically efficient. By Monte Carlo simulations it is shown that both bias and mean squared error are much smaler compared to the estimator proposed by Damodaran and Lim (1991) and Damodaran (1993). A test for the adeqacy of the model is also proposed. Using data from four minor, the nordic countries except Iceland, and one major, US, stock markets the results are that the markets under-react to new information, but for most of the nordic countries, the model is not adequate.

Suggested Citation

  • Lyhagen, Johan, 1999. "Efficient estimation of price adjustment coefficients," SSE/EFI Working Paper Series in Economics and Finance 332, Stockholm School of Economics.
  • Handle: RePEc:hhs:hastef:0332
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/hastef/papers/hastef0332.pdf.zip
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0332.pdf
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0332.ps
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0332.ps.zip
    File Function: Complete Rendering
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Daya, Wael & Mazouz, Khelifa & Freeman, Mark, 2012. "Information efficiency changes following FTSE 100 index revisions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 1054-1069.

    More about this item

    Keywords

    Estimation; efficiency; price adjustment;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:hastef:0332. 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: Helena Lundin (email available below). General contact details of provider: https://edirc.repec.org/data/erhhsse.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.