IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03528475.html

Continuous wavelet transform and rolling correlation of European stock markets

Author

Listed:
  • Aviral Kumar Tiwari

    (LEO - Laboratoire d'Économie d'Orleans [UMR7322] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique)

  • Mihai Ioan Mutascu

    (LEO - Laboratoire d'Économie d'Orleans [UMR7322] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique)

  • Claudiu Tiberiu Albulescu

Abstract

The purpose of this paper is to assess the level of co-movements, contagion and rolling correlation between the stock markets of the PIIGS and those of the UK and Germany. We thus resort to a novel time–frequency approach, namely the continuous wavelet transform, and we analyze the co-movements of the stock index returns at different frequency-scales. We also test the influence of different macroeconomic factors on stock markets co-movements at different time–frequencies. The wavelet analysis results show that, in the short-run, the correlation level is high only during financial distress episodes, while in the long-run, the co-movements are present for the entire analyzed horizon. In addition, at low-frequency levels, the PIIGS stock markets are more correlated with Germany than with the UK. An opposite result is obtained at high-frequency decomposition levels. We also discover that the stock markets' correlation does not increase after all crisis events and depends on the wavelet decomposition levels.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Aviral Kumar Tiwari & Mihai Ioan Mutascu & Claudiu Tiberiu Albulescu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," Post-Print hal-03528475, HAL.
    • Handle: RePEc:hal:journl:hal-03528475
    DOI: 10.1016/j.iref.2015.12.002
    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
    for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • F3 - International Economics - - International Finance
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • G1 - Financial Economics - - General 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:hal:journl:hal-03528475. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.