IDEAS home Printed from https://ideas.repec.org/a/taf/emetrv/v34y2015i1-2p127-145.html
   My bibliography  Save this article

Volatility Spillover Effect: A Semiparametric Analysis of Non-Cointegrated Process

Author

Listed:
  • Yiguo Sun
  • Cheng Hsiao
  • Qi Li

Abstract

Stock market volatility is highly persistent and exhibits large fluctuations so that it is likely to be an integrated or a near integrated process. Stock markets' volatilities from different countries are intercorrelated, but are generally not cointegrated as many other (domestic) factors also affect volatility. In this paper, we use a semiparametric varying coefficient model to examine stock market volatility spillover effects. Using the estimation method proposed by Sun et al. (2011), we study the U.S./U.K. and U.S./Canadian stock market volatility spillover effects. We find striking similar patterns in both the U.S./U.K. and the U.S./Canadian markets. The stock market volatility spillover effects are strengthened when the currency markets experience high movement, and the spillover effects are asymmetric depending on whether a foreign currency is appreciating or depreciating.

Suggested Citation

  • Yiguo Sun & Cheng Hsiao & Qi Li, 2015. "Volatility Spillover Effect: A Semiparametric Analysis of Non-Cointegrated Process," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 127-145, February.
  • Handle: RePEc:taf:emetrv:v:34:y:2015:i:1-2:p:127-145
    DOI: 10.1080/07474938.2014.944793
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07474938.2014.944793
    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.

    More about this item

    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:taf:emetrv:v:34:y:2015:i:1-2:p:127-145. 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: (). General contact details of provider: http://www.tandfonline.com/LECR20 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.