IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v59y2024ics1544612323010619.html
   My bibliography  Save this article

Enhanced safe-haven status of Bitcoin: Evidence from the Silicon Valley Bank collapse

Author

Listed:
  • Jin, Changlun
  • Tian, Xiujuan

Abstract

This paper sets out to assess the safe-haven property of Bitcoin by employing a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-based event analysis approach amid the collapse of Silicon Valley Bank. Results reveal Bitcoin's role as a safe-haven amidst the uncertainty permeating the US banking market. In comparison to gold, stock, bond, and foreign exchange market indices, Bitcoin exhibits superior short-term performance and outperforms gold in terms of return and volatility stability in the medium term. Notably, the observation that Bitcoin sustained its safe-haven attribute over a span of 50 days even during periods of relatively diminished market uncertainty further solidifies its status as an improved safe-haven asset.

Suggested Citation

  • Jin, Changlun & Tian, Xiujuan, 2024. "Enhanced safe-haven status of Bitcoin: Evidence from the Silicon Valley Bank collapse," Finance Research Letters, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323010619
    DOI: 10.1016/j.frl.2023.104689
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323010619
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104689?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

    Bitcoin; SVB; CEEMDAN; Event study; Safe-haven;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:59:y:2024:i:c:s1544612323010619. 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.