IDEAS home Printed from https://ideas.repec.org/a/ids/afasfa/v10y2020i2p278-294.html
   My bibliography  Save this article

Decomposition of the dividend forecast model: firm characteristics or market discrimination? Evidence from the Korean market

Author

Listed:
  • Injoong Kim

Abstract

Historically, KOSPI firms have shown consistently higher chances of dividend payment compared to KOSDAQ firms. The counterfactual decomposition technique popularised by Oaxaca and Blinder is adapted to explain the dividend differentials between the two markets. Our results suggest that there exists market discrimination that cannot be explained by the traditional dividend forecast model of Fama and French (2001). After controlling for the group differences in firm characteristics such as size and profitability, KOSPI firms still have a higher probability of paying dividends, and, especially during the crisis period, they deal with risks better and are less affected by macroeconomic shocks. We observe the level difference after controlling for firm characteristics as well as the difference in the sensitivity of dividends with respect to the dividend predictors between two markets. For the crisis period, the explanatory power of firm characteristics drops, and the market effect plays a dominant role in explaining dividend behaviours.

Suggested Citation

  • Injoong Kim, 2020. "Decomposition of the dividend forecast model: firm characteristics or market discrimination? Evidence from the Korean market," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 10(2), pages 278-294.
  • Handle: RePEc:ids:afasfa:v:10:y:2020:i:2:p:278-294
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106265
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:afasfa:v:10:y:2020:i:2:p:278-294. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=214 .

    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.