IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v52y2021i61p05-17.html
   My bibliography  Save this article

Cryptocurrency analysis: Benefits, dangers and price prediction using neural networks

Author

Listed:
  • Ntigkaris Alexandros

    (Aristotle University of Thessaloniki, Greece)

Abstract

In this paper we will discuss a hot topic of our decade, cryptocurrency. Firstly, we will assess how currency is defined and works and why the current state of money is not suited to guarantee a safe and stable trajectory in the future. Moreover, we will present the benefits of cryptocurrency in contrast with common forms of currency, along with the dangers that may arise. Lastly, we will construct an artificial neural network model to predict the price trajectory of the most prominent cryptocurrencies up until now, Bitcoin and Ether.

Suggested Citation

  • Ntigkaris Alexandros, 2021. "Cryptocurrency analysis: Benefits, dangers and price prediction using neural networks," Romanian Journal of Economics, Institute of National Economy, vol. 52(1(61)), pages 05-17, June.
    • Handle: RePEc:ine:journl:v:52:y:2021:i:61:p:05-17
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2021-1/2021-1-1.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Cryptocurrency; Bitcoin; Ethereum; price prediction; neural networks; analysis;
    All these keywords.

    JEL classification:

    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

    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:ine:journl:v:52:y:2021:i:61:p:05-17. 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: Valentina Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/inacaro.html .

    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.