IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipcs1544612323009005.html
   My bibliography  Save this article

Analyzing the efficient market hypothesis with asymmetric persistence in cryptocurrencies: Insights from the Fourier non-linear quantile unit root approach

Author

Listed:
  • Kilic, Emre
  • Yavuz, Ersin
  • Pazarci, Sevket
  • Kar, Asim

Abstract

We test the efficient market hypothesis (EMH) in Bitcoin (BTC) and Ethereum (ETH) using the further Fourier nonlinear quantile (FNQKS) unit root test by Bahmani-Oskooee et al. (2020). While conventional tests support EMH in the cryptocurrency market, the FNQKS unit root test does not support EMH. Considering non-linearity, Fourier breaks, and non-normal distribution in BTC and ETH exhibit asymmetric persistence. This allows investors to make adjustments to their portfolios in response to both negative and positive shocks.

Suggested Citation

  • Kilic, Emre & Yavuz, Ersin & Pazarci, Sevket & Kar, Asim, 2023. "Analyzing the efficient market hypothesis with asymmetric persistence in cryptocurrencies: Insights from the Fourier non-linear quantile unit root approach," Finance Research Letters, Elsevier, vol. 58(PC).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323009005
    DOI: 10.1016/j.frl.2023.104528
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323009005
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104528?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

    Cryptocurrency; EMH; Smooth breaks; Non-linearity; Quantile unit root;
    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
    • F3 - International Economics - - International Finance
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:pc:s1544612323009005. 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.