Please use this identifier to cite or link to this item: https://repository.hneu.edu.ua/handle/123456789/27087
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dc.contributor.authorLyashenko V.-
dc.contributor.authorBilotserkivskyi O.-
dc.contributor.authorPyvavar I.-
dc.contributor.authorKots H.-
dc.date.accessioned2022-02-01T10:00:23Z-
dc.date.available2022-02-01T10:00:23Z-
dc.date.issued2021-
dc.identifier.citationLyashenko V. Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence / V. Lyashenko, O. Bilotserkivskyi, I. Pyvavar, H. Kots // Journal of Engineering, Technology & Applied Science. – 2021. – Vol. 3. – № 2. – P. 58-65.ru_RU
dc.identifier.urihttp://repository.hneu.edu.ua/handle/123456789/27087-
dc.description.abstractAbstract: 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.ru_RU
dc.language.isoenru_RU
dc.subjectBinance Coinru_RU
dc.subjectBitcoinru_RU
dc.subjectEthereumru_RU
dc.subjectTetherru_RU
dc.subjectWavelet Coherenceru_RU
dc.titleMutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherenceru_RU
dc.typeArticleru_RU
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