IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v69y2024ics0275531924000308.html
   My bibliography  Save this article

Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach

Author

Listed:
  • Yousaf, Imran
  • Assaf, Ata
  • Demir, Ender

Abstract

In this paper, we analyze the quantile return connectedness between the real estate tokens (PROPY, LATOKEN, ATLANT, IHT Real Estate Protocol) and other asset classes, namely oil, gold, bond, currency, equity, Bitcoin, and real estate investment trust for the period August 27, 2018, to April 25, 2022. We perform the connectedness at the mean, median, extreme lower quantile, and extreme upper quantile levels. At the mean and median levels, we find a low level of connectedness between real estate tokens and REIT, and a relatively higher level of connectedness with BTC. This highlights the importance of BTC contributing a high shock of spillover to the whole system, followed by equity and then oil markets. Then, extending our analysis to the extreme lower and upper quantiles, we uncover similar results, yet, this connectedness increases in extreme market conditions compared to the median level. Finally, we provide some implications for investment and portfolio diversification benefits using these assets.

Suggested Citation

  • Yousaf, Imran & Assaf, Ata & Demir, Ender, 2024. "Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach," Research in International Business and Finance, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000308
    DOI: 10.1016/j.ribaf.2024.102238
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924000308
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2024.102238?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

    Connectedness; Real estate tokens; Bitcoin; Quantile;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General Financial Markets
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:riibaf:v:69:y:2024:i:c:s0275531924000308. 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/ribaf .

    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.