IDEAS home Printed from https://ideas.repec.org/a/bok/journl/v13y2007i1p56-87.html
   My bibliography  Save this article

The Impact of Surprise Information on the Relation between Volatility and Trading Volume in Exchange Rate Markets (in Korean)

Author

Listed:
  • Beum-Jo Park

    (Dankook University)

Abstract

This paper introduces the concept of 'surprise information', which is distinguished from general information, and demonstrates employing the MDH theory that its effect on the relationship between volatility and trading volumes in markets differs from that of general information. Ignorance of the feature of surprise information might lead to conflicting results concerning this relationship in empirical studies. Further, to pick up on unobservable surprise information, this paper proposes a method based upon a quantile regression approach and adds a dummy variable for surprise information into the variance equation in GARCH models. Strong evidence in favor of the specification over the standard GARCH is based on empirical application with high frequency data of KRW/USD exchange rates, which substantially support the distinctly positive relationship between volatility and trading volumes and show a significant reduction of GARCH effects.

Suggested Citation

  • Beum-Jo Park, 2007. "The Impact of Surprise Information on the Relation between Volatility and Trading Volume in Exchange Rate Markets (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 13(1), pages 56-87, March.
  • Handle: RePEc:bok:journl:v:13:y:2007:i:1:p:56-87
    as

    Download full text from publisher

    File URL: http://imer.bok.or.kr/attach/imer_kor/2545/2013/12/1386574112334.hwp
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Surprise information; Mixture of distribution hypothesis (MDH); Trading volume; Realized volatility; Quantile regression; GARCH model; High frequency data of Won/Dollar exchange rates;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:bok:journl:v:13:y:2007:i:1:p:56-87. 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: Economic Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/imbokkr.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.