IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipbs1544612323007432.html
   My bibliography  Save this article

Dynamic return connectedness between commodities and travel & leisure ETFs: Investment strategies and portfolio implications

Author

Listed:
  • Lang, Chunlin
  • Hu, Yang
  • Corbet, Shaen
  • Goodell, John W.

Abstract

Examining return connectedness between the largest US-based oil and gold ETFs and three major travel & leisure ETFs, we provide substantial value for understanding how investors can diversify sectoral risk. We also compare several portfolio strategies to explore interactive effects. Results indicate a high level of interdependence between gold, oil and the examined ETFs, where the minimum variance portfolio (MVP) is found to be the most efficient. Robustness testing reaffirms the finding that the gold ETF is an important portfolio rebalancing tool to specifically minimise risks associated with travel-related ETFs. Our results have important implications for investors and portfolio managers.

Suggested Citation

  • Lang, Chunlin & Hu, Yang & Corbet, Shaen & Goodell, John W., 2023. "Dynamic return connectedness between commodities and travel & leisure ETFs: Investment strategies and portfolio implications," Finance Research Letters, Elsevier, vol. 58(PB).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323007432
    DOI: 10.1016/j.frl.2023.104371
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323007432
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104371?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.

    More about this item

    Keywords

    Commodities; Travel and leisure; Exchange traded funds; Dynamic connectedness; Portfolio diversification;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:finlet:v:58:y:2023:i:pb:s1544612323007432. 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/frl .

    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.