IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v93y2024ipap350-371.html
   My bibliography  Save this article

Exploring the dynamic links, implications for hedging and investment strategies between Sukuk and commodity market volatility: Evidence from country level analysis

Author

Listed:
  • Billah, Mabruk
  • Hadhri, Sinda
  • Balli, Faruk
  • Sahabuddin, Mohammad

Abstract

This research paper examines the influence of spillovers between volatility of commodities (including soft commodities, precious metals, industrial metals, along with energy) and returns of sukuk. Using a notable sample of fifteen sukuk country indices and sixteen products, we examine the time-varying criterion vector autoregression (TVP-VAR) based extended joint connectedness method and contribute to the correlation analysis literature by supplying a comprehensive as well as policy-oriented analysis of the connection between sukuks and also commodities. Our results disclose that the system-wide dynamic connectedness is slowly heterogeneous and driven by financial occasions. Next, we look at the potential determinants of connectivity between sukuk and commodity markets, we find that global risk factors significantly impact the degree of spillovers between markets. In particular, the negative impacts of risk factors on spillovers suggest that some risk-mitigating properties may be related to market leverage in the composite portfolio in bear market conditions. In addition, our results, using hedging efficiency and the Sharpe ratio, confirm the hypothesis of diversification opportunities between markets that leverage dynamic connectivity networks.

Suggested Citation

  • Billah, Mabruk & Hadhri, Sinda & Balli, Faruk & Sahabuddin, Mohammad, 2024. "Exploring the dynamic links, implications for hedging and investment strategies between Sukuk and commodity market volatility: Evidence from country level analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 350-371.
  • Handle: RePEc:eee:reveco:v:93:y:2024:i:pa:p:350-371
    DOI: 10.1016/j.iref.2024.03.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024001680
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.03.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xuewei Zhou & Zisheng Ouyang & Rangan Gupta & Qiang Ji, 2024. "Time-Varying Multilayer Networks Analysis of Frequency Connectedness in Commodity Futures Markets," Working Papers 202422, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Sukuk market; Islamic markets; Dynamic connectedness; TVP-VAR extended join connectedness; Hedging effectiveness; Portfolio construction techniques; Determinants of spillovers;
    All these keywords.

    JEL classification:

    • 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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:eee:reveco:v:93:y:2024:i:pa:p:350-371. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.