IDEAS home Printed from https://ideas.repec.org/a/taf/oaefxx/v10y2022i1p2114161.html
   My bibliography  Save this article

Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches

Author

Listed:
  • Mohammed Armah
  • Godfred Amewu
  • Ahmed Bossman

Abstract

We examine the time-frequency lead–lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and multiple wavelet econometric approaches. Findings from the bivariate wavelet analysis evidence the significant influence of the US financial stress in driving the price-generating process in commodities markets. Our findings support the hedging abilities of commodities across the time-frequency space. Findings from the multiple correlations explicate that the interrelation between the commodities and financial stress is attributable to their interdependence in the long term during financial market meltdowns. The dynamic and nonhomogeneous lead/lag relations underscored by our findings highlight the importance of cross-commodity investments. As such, by acknowledging the response of different commodities to financial stress, asset allocation should factor in commodities that offer opposing responses to a financial stress to hedge downside risks associated with portfolios. Our findings are of interest to regulators, risk managers, investors, and commodities producers.

Suggested Citation

  • Mohammed Armah & Godfred Amewu & Ahmed Bossman, 2022. "Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2114161-211, December.
    • Handle: RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2114161
    DOI: 10.1080/23322039.2022.2114161
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23322039.2022.2114161
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23322039.2022.2114161?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. Bossman, Ahmed & Gubareva, Mariya & Agyei, Samuel Kwaku & Vo, Xuan Vinh, 2024. "Time-frequency comovements between environmental cryptocurrency sentiment and faith-based sectoral stocks," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 699-719.
    2. Hoque, Mohammad Enamul & Soo-Wah, Low & Tiwari, Aviral Kumar & Akhter, Tahmina, 2023. "Time and frequency domain connectedness and spillover among categorical and regional financial stress, gold and bitcoin market," Resources Policy, Elsevier, vol. 85(PA).
    3. Armah, Mohammed & Amewu, Godfred, 2024. "Quantile dependence and asymmetric connectedness between global financial market stress and REIT returns: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    4. Clement Oteng & Omowumi Iledare & James Atta Peprah & Pius Gamette, 2024. "Towards Just Energy Transition: Renewable Energy Transition Dynamics and Sectorial Employment in Ghana," Sustainability, MDPI, vol. 16(9), pages 1-18, April.
    5. Umar, Zaghum & Bossman, Ahmed, 2023. "Quantile connectedness between oil price shocks and exchange rates," Resources Policy, Elsevier, vol. 83(C).
    6. Nathan Zavanelli, 2023. "Wavelet Analysis for Time Series Financial Signals via Element Analysis," Papers 2301.13255, arXiv.org.
    7. Maryam Aziz & Muhammad Zeeshan Shaukat & Abdul Aziz Khan Niazi & Abdul Basit & Tehmina Fiaz Qazi, 2023. "Wavelet Analysis of CO2 Emissions’ Co-movement: An Investigation of Lead–lag Effect among Emerging Asian Economies," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(3), pages 36-51.

    More about this item

    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:taf:oaefxx:v:10:y:2022:i:1:p:2114161. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/OAEF20 .

    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.