IDEAS home Printed from https://ideas.repec.org/a/sae/emffin/v23y2024i4p495-502.html
   My bibliography  Save this article

A Study on the Hedging and Safe-Haven Features of Non-fungible Tokens Segments

Author

Listed:
  • Emiliya James
  • Parthajit Kayal
  • Moinak Maiti
  • G. Balasubramanian

Abstract

This study examines the hedging and safe-haven characteristics across the various segments of non-fungible tokens (NFTs). It adopts the case study approach to blend the key study findings on the risk and return aspects of different NFT segments. The study finds that various segments of NFTs have mixed levels of correlations with traditional financial assets. Online games and metaverse segments of NFTs display a link to the crypto assets. Similarly, only the metaverse segment shows an association with the market sentiment. Art, online games, and collectibles segments within the NFTs space show mixed levels of hedging. However, all NFT segments under consideration show ambiguous safe-haven facets. Overall, the present study highlights some of the important aspects to consider while investing in the different segments of NFTs with respect to portfolio optimization, market dynamics, and risk management. JEL Codes: C12, C13, J64

Suggested Citation

  • Emiliya James & Parthajit Kayal & Moinak Maiti & G. Balasubramanian, 2024. "A Study on the Hedging and Safe-Haven Features of Non-fungible Tokens Segments," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 23(4), pages 495-502, December.
  • Handle: RePEc:sae:emffin:v:23:y:2024:i:4:p:495-502
    DOI: 10.1177/09726527241257359
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09726527241257359
    Download Restriction: no

    File URL: https://libkey.io/10.1177/09726527241257359?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
    ---><---

    More about this item

    Keywords

    NFT; alternative investment; portfolio diversification; hedge; metaverse;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:sae:emffin:v:23:y:2024:i:4:p:495-502. 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: SAGE Publications (email available below). General contact details of provider: http://www.ifmr.ac.in .

    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.