IDEAS home Printed from https://ideas.repec.org/a/voj/journl/v68y2021i1p35-52id1029.html
   My bibliography  Save this article

Volatility Spillover from the United States and Japanese Stock Markets to the Vietnamese Stock Market: A Frequency Domain Approach

Author

Listed:
  • Le Dinh Nghi
  • Nguyen Minh Kieu

Abstract

Using frequency domain analysis, this paper examines the volatility spillover from the United States and Japanese stock markets to the Vietnamese stock market. Daily data of S&P 500, Nikkei 225 and VN-Index from January 01, 2012 to May 31, 2016 is used. In terms of estimation, the GARCH model is used to estimate volatilities in these stock markets; the Granger Causality Test is used to examine volatility spillover; and the test for causality in the frequency domain by Jorg Breitung and Bertrand Candelon (2006) is used to examine the volatility spillover at different frequencies. The empirical results provide two main contributions: (i) there is a significant volatility spillover from the United States to the Vietnamese stock markets, but the evidence of volatility spillover from the Japanese to the Vietnamese stock market is not found; and (ii) the volatility spillover may vary across frequency spectrum bands. To our best understanding, volatility spillover analysis using frequency domain approach was not previously reported in literature.Key words: Causality, Frequency domain, Spillover, Volatility.JEL: C58, G15.

Suggested Citation

  • Le Dinh Nghi & Nguyen Minh Kieu, 2021. "Volatility Spillover from the United States and Japanese Stock Markets to the Vietnamese Stock Market: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 68(1), pages 35-52.
  • Handle: RePEc:voj:journl:v:68:y:2021:i:1:p:35-52:id:1029
    as

    Download full text from publisher

    File URL: https://panoeconomicus.org/index.php/jorunal/article/view/1029/635
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Causality; Frequency domain; Spillover; Volatility;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:voj:journl:v:68:y:2021:i:1:p:35-52:id:1029. 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: Ivana Horvat (email available below). General contact details of provider: https://panoeconomicus.org/index.php/jorunal/ .

    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.