IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v13y2025i10p187-d1760527.html
   My bibliography  Save this article

Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods

Author

Listed:
  • Rania Zghal

    (Faculty of Economics and Management of Sfax, University of Sfax, Airport Road Km 4, Sfax 30188, Tunisia)

  • Fredj Amine Dammak

    (Jules Verne, IUT Oise, University of Picardie, 80000 Amiens, France)

  • Semia Souai

    (Faculty of Economics and Management of Sfax, University of Sfax, Airport Road Km 4, Sfax 30188, Tunisia)

  • Nejib Hachicha

    (Faculty of Economics and Management of Sfax, University of Sfax, Airport Road Km 4, Sfax 30188, Tunisia)

  • Ahmed Ghorbel

    (Faculty of Economics and Management of Sfax, University of Sfax, Airport Road Km 4, Sfax 30188, Tunisia)

Abstract

In this study, we aim to provide a comprehensive analysis of the risk management potential of sectoral Credit Default Swaps (CDSs) within financial portfolios. Our objectives are threefold: (i) to investigate the safe haven properties of sectoral CDSs; (ii) to assess their hedging effectiveness and evaluate the diversification benefits of incorporating sectoral CDSs into both conventional and Islamic stock market portfolios; and (iii) to compare these findings with those obtained from alternative assets such as the VSTOXX, gold, and Bitcoin indices. To achieve this, we estimate time-varying hedge ratios using a range of multivariate GARCH (MGARCH) models and subsequently compute hedging effectiveness metrics. Conditional correlations derived from the Asymmetric Dynamic Conditional Correlation (ADCC) model are employed in linear regression analyses to assess safe haven characteristics. This methodology is applied across different subperiods to capture the impact of the crypto currency bubble and the COVID-19 pandemic on hedging performance.

Suggested Citation

  • Rania Zghal & Fredj Amine Dammak & Semia Souai & Nejib Hachicha & Ahmed Ghorbel, 2025. "Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods," Risks, MDPI, vol. 13(10), pages 1-33, September.
  • Handle: RePEc:gam:jrisks:v:13:y:2025:i:10:p:187-:d:1760527
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/13/10/187/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/13/10/187/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jrisks:v:13:y:2025:i:10:p:187-:d:1760527. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.