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| Wavelet Coherence as a Digital Visualization Tool for Comparing Economic Data Dynamics
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Oleg Vasiurenko, Vyacheslav Lyashenko
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Abstract:
Analysis is one of the tools for studying data of various nature. Among the variety of such data, we single out economic data. The analysis of economic data is an important aspect in the study of various phenomena and processes that are associated with the study of economic dynamics. At the same time, an important point of such an analysis is the comparison of the dynamics of economic data. This is important both for understanding the processes that take place and for making appropriate management decisions. At the same time, for a more complete understanding of various aspects of the analysis, it is necessary to visualize the relevant data. Such visualization helps to better analyze the comparative dynamics between the various data that we study. It also allows you to understand hidden relationships .To implement the stated task, we propose to use the methodology of wavelet analysis. Among the methods of wavelet analysis, we single out wavelet coherence. The paper considers various aspects of using wavelet coherence for digital visualization of economic data. Possibilities of conducting a comparative analysis with the help of wavelet coherence are shown. Various graphs and examples for real data are given. This allows you to better understand the consideration of the issues raised.
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