IDEAS home Printed from https://ideas.repec.org/a/ris/integr/0726.html
   My bibliography  Save this article

Dynamics of Tokyo Electric Power Company and the Nikkei: 1985 to 2016 including the Fukushima disaster

Author

Listed:
  • Rey, Serge

    (University of Pau)

  • Nivoix, Sophie

    (Université de Poitiers)

Abstract

From an asset portfolio management perspective, analyses of the correlations between returns are of great importance. This article investigates the correlations between the rates of return of Tokyo Electric Power Company stock and the Japanese Nikkei index over the lengthy period of 1985 to 2016. Using Markov-switching models, we seek to determine the effects of the Fukushima earthquake disaster compared with those of other shocks on the Japanese financial market. Although the Fukushima catastrophe resulted in more volatile stock prices, it had not changed the correlation structure among asset returns. In addition, both low- and high- volatility regimes, the Nikkei causes Tokyo Electric Power Company, but Tokyo Electric Power Company does not cause the Nikkei.

Suggested Citation

  • Rey, Serge & Nivoix, Sophie, 2018. "Dynamics of Tokyo Electric Power Company and the Nikkei: 1985 to 2016 including the Fukushima disaster," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(1), pages 979-1010.
  • Handle: RePEc:ris:integr:0726
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    Keywords

    Markov-switching; Stock Market; Japan; Risk; Volatility; Earthquake; Electric Utility Companies;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G00 - Financial Economics - - General - - - General
    • G01 - Financial Economics - - General - - - Financial Crises

    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:integr:0726. 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: Yunhoe Kim (email available below). General contact details of provider: https://edirc.repec.org/data/desejkr.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.