IDEAS home Printed from https://ideas.repec.org/a/ris/eaerev/0056.html
   My bibliography  Save this article

The Effect of Initial Margin on Long-run and Short-run Volatilities in Japan

Author

Listed:
  • Kim , Sangbae

    (Kyungpook National University)

  • Jung , Taehun

    (Kyungpook National University)

Abstract

This paper examines the effect of initial margin requirements on long-run and short-run volatilities in the Japanese stock market using the Component GARCH model. Our empirical results show that when we do not divide the margin requirement into positive and negative changes, increasing margin requirement is effective for reducing long-run volatility, while not effective in short-run volatility. However, separating the positive and negative changes in margin requirements reveals the fact that the negative changes in margin requirements decrease long-run volatilities, while the higher margin requirements increase short-run volatilities in the Japanese stock market. This suggests that if the Japanese financial authorities intend to increase margin level to reduce volatility, unexpectedly, short-run volatility would be even higher.

Suggested Citation

  • Kim , Sangbae & Jung , Taehun, 2013. "The Effect of Initial Margin on Long-run and Short-run Volatilities in Japan," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 17(3), pages 311-332, September.
    • Handle: RePEc:ris:eaerev:0056
    DOI: 10.11644/KIEP.JEAI.2013.17.3.268
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.11644/KIEP.JEAI.2013.17.3.268
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.11644/KIEP.JEAI.2013.17.3.268?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
    ---><---

    Citations

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


    Cited by:

    1. Xuan Zhou & Honggang Li, 2019. "Buying on Margin and Short Selling in an Artificial Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1473-1489, December.

    More about this item

    Keywords

    Margin Requirement; Long-run Volatility; Short-run Volatility; Component GARCH Model;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:eaerev:0056. 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: JE Lee (email available below). General contact details of provider: https://edirc.repec.org/data/kieppkr.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.