IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Stock returns, seasonality and asymmetric conditional volatility in world equity markets

  • Ercan Balaban
  • Asli Bayar
  • Ozgur Berk Kan
Registered author(s):

    The paper tests four hypotheses at the same time using an autoregressive return-generating process and an asymmetric conditional variance specification, both also including deterministic day of the week dummies. The daily stock index returns from 19 countries are employed to test: (H1) predictable time variation in conditional volatility; (H2) asymmetry in volatility and leverage effect; (H3) effects of estimated volatility on returns; and (H4) day of the week effects on both returns and their volatility. Evidence is provided for predictable time varying daily volatility in all markets among which eight also exhibit a significant leverage effect. There is a significantly positive relationship between returns and their conditional volatility in only three countries. The nature of the day of the week effects on returns and their conditional volatility differs greatly among countries and across days. Thirteen countries exhibit seasonality in either mean returns (seven countries) or volatility (eight countries) or both (two countries). Each day is at least once reported to exhibit significant positive and negative effects in both mean and volatility with the exception that there is no negative effect on mean returns and no positive effect in volatility on Wednesdays.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/135048501750104051&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Applied Economics Letters.

    Volume (Year): 8 (2001)
    Issue (Month): 4 ()
    Pages: 263-268

    as
    in new window

    Handle: RePEc:taf:apeclt:v:8:y:2001:i:4:p:263-268
    Contact details of provider: Web page: http://www.tandfonline.com/RAEL20

    Order Information: Web: http://www.tandfonline.com/pricing/journal/RAEL20

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:8:y:2001:i:4:p:263-268. 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: (Michael McNulty)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.