IDEAS home Printed from https://ideas.repec.org/a/bok/journl/v19y2013i2p1-23.html
   My bibliography  Save this article

Volatility Regimes and the Relationship between Volatility, Trading Volume, and Spreads in the FX market (in Korean)

Author

Listed:
  • Beum-Jo Park

    (Department of Economics, Dankook University)

Abstract

This paper analyzes the factors of volatility in the foreign exchange market within a microstructure framework. Unlike the existing literature, it proposes that the relationship between volatility, trading volume, and bid-ask spreads shift owing to the volatility regime switching caused by big news or psychological factors such as herd behavior; and further their relationship is also influenced by quantiles of a volatility distribution. To verify the proposition empirically, this paper calculates realized volatility and then estimates a threshold quantile autoregressive model. Using the daily closing spot prices for the won/dollar currency pair, we find significant nonlinearities in volatility dynamics characterized by two regimes and quantile processes. In particular, in contrast with the mixture of distribution hypothesis, volatility is negatively related to volume and weakly to spreads under an unstable regime stemming from noisy(or speculative) trading.

Suggested Citation

  • Beum-Jo Park, 2013. "Volatility Regimes and the Relationship between Volatility, Trading Volume, and Spreads in the FX market (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 19(2), pages 1-23, June.
  • Handle: RePEc:bok:journl:v:19:y:2013:i:2:p:1-23
    as

    Download full text from publisher

    File URL: https://www.bok.or.kr/ucms/cmmn/file/fileDown.do?menuNo=600354&atchFileId=ENG_0000000001016809&fileSn=1
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Volatility regime; Trading volume; Bid-ask spreads; Realized volatility; Threshold quantile autoregressive models;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:19:y:2013:i:2:p:1-23. 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.