IDEAS home Printed from https://ideas.repec.org/a/ids/ijelfi/v10y2021i3p131-144.html
   My bibliography  Save this article

Estimating bitcoin and traded asset classes volatility using GARCH model

Author

Listed:
  • Timcy Sachdeva

Abstract

Bitcoin is the world's first cryptocurrency which has largest market capitalization. The study aims to analyze the risk measures for the bitcoin and comparing with tradable asset classes that include the Standard and Poor's BSE 500, USD, Euro, GBP and the Gold future prices. The study uses the GARCH models to identify the components of world economies that bitcoin is sensitive too as against variables that impact the global financial prudence. The empirical results of the study reveal that against dollar and euro exchange rates bitcoin returns are more sensitive. Bitcoin can be used together with gold to diversify or eliminate explicit market risks. The study presents reasonable justification over the development and relationship between bitcoin and different traded assets that pose new challenges before the global investors. The implication of this paper for the strategic policy makers shows the sensitivity among tradeable assets.

Suggested Citation

  • Timcy Sachdeva, 2021. "Estimating bitcoin and traded asset classes volatility using GARCH model," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 10(3), pages 131-144.
  • Handle: RePEc:ids:ijelfi:v:10:y:2021:i:3:p:131-144
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=115637
    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.

    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:ids:ijelfi:v:10:y:2021:i:3:p:131-144. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=171 .

    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.