Advanced Search
MyIDEAS: Login to save this article or follow this journal

Verifying of Information Content of Economic Value Added EVA in the Food-processing Sector of the Czech Republic

Contents:

Author Info

  • Gabriela Chmelíková
Registered author(s):

    Abstract

    This paper is devoted to today's very popular performance measure - Economic Value Added (EVA). The aim of this article is to investigate the relationship between Economic Value Added, traditional performance measures (ROA and ROE) and ability of creation of shareholder wealth for food-processing firms in the Czech Republic. The intent of this article is fulfilled by providing a simple regression tests of the hypothesis, that between EVA and traditional performance metrics there is not a tight linear dependency which would point out that EVA has the same information content as traditional performance measures and hypothesis, that the EVA measure is more associated with improved shareholder wealth than traditional performance measures. The results of regression analysis indicate in all cases a positive correspondence between EVA and financial performance metrics with very low dependency of EVA on the financial metrics and show higher quality information content of EVA indicator in the relationship to the ability of shareholder wealth creation than traditional performance measures. This fact supports the tested hypothesis as well as the conclusions of corporate finance theory, that from the theoretical point of view EVA is seen as a superior performance metric.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.vse.cz/polek/download.php?jnl=aop&pdf=160.pdf
    Download Restriction: free of charge, full text delayed 3 months

    File URL: http://www.vse.cz/aop/abstrakt.php?IDcl=160
    Download Restriction: free of charge, full text delayed 3 months

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by University of Economics, Prague in its journal Acta Oeconomica Pragensia.

    Volume (Year): 2008 (2008)
    Issue (Month): 5 ()
    Pages: 32-46

    as in new window
    Handle: RePEc:prg:jnlaop:v:2008:y:2008:i:5:id:160:p:32-46

    Contact details of provider:
    Postal: nam. W. Churchilla 4, 130 67 Praha 3
    Phone: (02) 24 09 51 11
    Fax: (02) 24 22 06 57
    Web page: http://www.vse.cz/
    More information through EDIRC

    Order Information:
    Postal: Redakce Acta Oeconomica Pragensia, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
    Email:
    Web: http://www.vse.cz/aop/

    Related research

    Keywords: Traditional Performance Metrics; Information Content; Food-processing sector; Economic Value Added;

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Glenn D. Feltham & Grant E. Issac & Chima Mbagwu & Ganesh Vaidyanathan, 2004. "Perhaps Eva Does Beat Earnings-Revisiting Previous Evidence," Journal of Applied Corporate Finance, Morgan Stanley, vol. 16(1), pages 83-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:prg:jnlaop:v:2008:y:2008:i:5:id:160:p:32-46. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vaclav Subrta).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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