Open AccessMutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence
Author(s) -
Vyacheslav Lyashenko,
Oleksandr Bilotserkivskyi,
Iryna Pyvavar,
Hryhorii Kots
Publication year - 2021
Publication title -
journal of engineering, technology and applied science
Language(s) - English
Resource type - Journals
eISSN - 2721-8090
pISSN - 2721-7949
DOI - 10.36079/lamintang.jetas-0302.258
Subject(s) - cryptocurrency , wavelet , coherence (philosophical gambling strategy) , computer science , ideology , econometrics , data science , data mining , artificial intelligence , statistical physics , economics , mathematics , statistics , computer security , physics , political science , politics , law
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.