IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v66y2025i6d10.1007_s10614-025-10910-7.html
   My bibliography  Save this article

Correction To: Time–Frequency Connectedness Among NFT Assets

Author

Listed:
  • Rayenda Khresna Brahmana

    (School of Economics, Finance, and Accounting, Coventry University)

  • Xiu Wei Yeap

    (Business Department, James Cook University Singapore)

  • Hooi Hooi Lean

    (Economics Program, School of Social Sciences, Universiti Sains Malaysia)

Abstract

This paper explores the evolving dynamics of NFT Assets, focusing on their interdependence within digital asset portfolios. Utilizing a time–frequency connectedness approach, we investigate the direction of return spillovers among five NFT assets and observe that these spillovers change over time. Practically, the purpose is to reveal the portfolio benefits within NFT assets. Our analysis reveals that ENJ and MANA are identified as assets that primarily influence or transmit effects (net transmitter) to other related assets in the NFT ecosystem. DGB, THETA, and WAXP tend to receive or absorb changes from the broader NFT asset dynamics (net receivers). Furthermore, our analysis reveals that short-term shock transmissions predominantly drive asset connectedness, with limited influence from medium and long-term factors. These findings underscore the dynamic nature of NFT assets, highlighting the importance of adopting a flexible portfolio management and risk assessment approach.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rayenda Khresna Brahmana & Xiu Wei Yeap & Hooi Hooi Lean, 2025. "Correction To: Time–Frequency Connectedness Among NFT Assets," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 5015-5015, December.
    • Handle: RePEc:kap:compec:v:66:y:2025:i:6:d:10.1007_s10614-025-10910-7
    DOI: 10.1007/s10614-025-10910-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-025-10910-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-025-10910-7?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    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:kap:compec:v:66:y:2025:i:6:d:10.1007_s10614-025-10910-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.