Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence

  • Vyacheslav Lyashenko
  • Oleksandr Bilotserkivskyi
  • Iryna Pyvavar
  • Hryhorii Kots
DOI: https://doi.org/10.36079/lamintang.jetas-0302.258
Keywords: Binance Coin, Bitcoin, Ethereum, Tether, Wavelet Coherence

Abstract

Unconventional methods of analysis are a good tool for studying new trends and phenomena. One of these objects of research is the cryptocurrency market. The paper shows the possibility and feasibility of applying the ideology of wavelets to analyze the dynamics of prices for cryptocurrencies. For this, the methodology of wavelet coherence is used. This methodology has been applied to various cryptocurrency pairs. The calculation results for real data are presented. It is shown that the results obtained agree with the theoretical conclusions and research results of other authors.

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Author Biographies

Vyacheslav Lyashenko

Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Ukrainе.

Oleksandr Bilotserkivskyi

Department of Business, Trade and Products Expertise, National Technical University «Kharkiv Polytechnic Institute», Ukraine.

Iryna Pyvavar

Department of Economic Theory and Economic Policy, Simon Kuznets Kharkiv National University of Economics, Ukraine

Hryhorii Kots

Department of Cybersecurity and Information Technology, Simon Kuznets Kharkiv National University of Economics, Ukraine.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2021-08-28
    Downloads : 332
How to Cite
[1]
V. Lyashenko, O. Bilotserkivskyi, I. Pyvavar, and H. Kots, “Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence”, Journal of Engineering, Technology, and Applied Science, vol. 3, no. 2, pp. 58-65, Aug. 2021.
Issue
Vol 3 No 2: August 2021
Section
Articles

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