IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v72y2022i1p50-70.html
   My bibliography  Save this article

Energy Commodity Price Risk Minimization with Precious Metals in a Multivariate Portfolio

Author

Listed:
  • Dejan Zivkov

    (Novi Sad business school, University of Novi Sad, Serbia)

  • Jelena Damnjanovic

    (Novi Sad business school, University of Novi Sad, Serbia)

  • Natasa Papic-Blagojevic

    (Novi Sad business school, University of Novi Sad, Serbia)

Abstract

This paper constructs four minimum-variance multivariate portfolios, combining energy commodities (Brent oil, WTI oil, gasoline and natural gas) with precious metals (gold, silver, platinum and palladium). In order to reflect different situations of market participants, we impose constraints of minimum energy share in portfolio in amount of 30% and 70%. Portfolio optimization indicates that highest share in all portfolios have gold, while only in two cases some tiny percentage goes to palladium. Silver and platinum do not have share in portfolios, whatsoever. We find more risk reduction in 30% portfolios, than in 70% portfolios, which means that investors who want to pursue less risky energy-portfolio should include more gold in portfolio. Examining some characteristics of portfolios, we find that portfolio with natural gas has the lowest downside risk, in both 30% and 70% energy-portfolios. According to various hedge effectiveness indices, in most cases, the most effective risk-reduction we find in portfolio with natural gas. Brent portfolio has the highest Sharpe and Sortino ratio, but when mCVaR is taken into account, then natural gas has the best return-risk results.

Suggested Citation

  • Dejan Zivkov & Jelena Damnjanovic & Natasa Papic-Blagojevic, 2022. "Energy Commodity Price Risk Minimization with Precious Metals in a Multivariate Portfolio," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 72(1), pages 50-70, March.
  • Handle: RePEc:fau:fauart:v:72:y:2022:i:1:p:50-70
    as

    Download full text from publisher

    File URL: https://journal.fsv.cuni.cz/mag/article/show/id/1496
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao, 2023. "Can Green Economy stocks hedge natural gas market risk? Evidence during Russia-Ukraine conflict and other crisis periods," Finance Research Letters, Elsevier, vol. 53(C).

    More about this item

    Keywords

    minimum-variance portfolio; energy; precious metals; risk-adjusted ratios;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

    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:fau:fauart:v:72:y:2022:i:1:p:50-70. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.