Перегляд за автором "Pyvavar, I."

Зараз показано 1 - 3 з 3
  • Зображення мініатюри
    Публікація
    Empirical Estimates of Data on the Dynamics of Changes in the World Foreign Exchange Market
    (IJAMSR, 2021) Lyashenko, V.; Bril, M.; Pyvavar, I.
    Empirical assessments are generalized characteristics of the data, processes and phenomena that are being investigated. Such estimates are based on real data, which are considered from some historical perspective. Particular attention is paid to such assessments in the study of processes, events, phenomena that occur in different spheres of the economy. This allows you to assess the situation from different points of view, justify and make the necessary decisions. Among the different spheres of the economy and areas of economic activity, the need for foreign exchange transactions should be highlighted. In a market economy, during the period of globalization, such a need arises for many business entities (access to raw materials markets, sales markets, implementation of cooperation, and provision of conditions for the division of labor). This is due to the fact that the conduct of economic activities requires the establishment of a correspondence between the monetary units of different countries. In this regard, the paper considers an approach to assessing data on the dynamics of changes in the world foreign exchange market. This approach is based on methods of wavelet analysis, where an approach to data estimation based on wavelet coherence is chosen. At the same time, the ideology of the formation of cross-rates of currencies is also taken into account. We considered different currency pairs and constructed estimates of their wavelet coherence. Conclusions are drawn about the dynamics of each of the currency pair s that we are considering. The results of the analysis of estimates of wavelet coherence for the currency pairs that we are studying are generalized. Research results are based on real data. All results are presented in the form of visual graphs, which allows the continuation of similar studies. It is shown that the results of the study are in agreement with the results of other authors.
  • Зображення мініатюри
    Публікація
    Estimating the Relationship Between Inflation and Tax Revenues in Selected European Countries: Austria, Germany, France, United Kingdom and Italy
    (IJARW, 2023) Pyvavar, I.; Sokolova, N.; Lyashenko, V.
    The state as a special subject of economic relations is constantly in the sphere of influence of various internal and externa l factors. Among such attributes of doing busi ness, inflation and tax revenues can be distinguished. These metrics are under constant scrutiny. Since it is these attributes that determine the policy of the state in the field of economic relations, and the sta te can regulate them through its powers and a number of institutional institutions. Thus, the analysis of the dynamics of inflation and tax revenues is an important element in the development of appropriate public policy. The more important point is the study of the relatio nship between inflation and tax revenues. To solve this problem, we consider a retrospective change in the values of indicators for selected attributes. We also take into account the regional aspect of such interdependence, which is revealed through the analysis of data for different countries. As a research apparatus, we use various statistical methods. We consider the comparative aspect of the obtained results. The paper presents a lot of empirical material in the form of separate graphs and diagrams. This allows a better understanding of the presented analysis. The results obtained can be used to substantiate the strategy of the state's behavior in the sphere of regulation of economic relations.
  • Зображення мініатюри
    Публікація
    Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence
    (IA-ESTE, 2021) Lyashenko, V.; Bilotserkivskyi, O.; Pyvavar, I.; Kots, H.
    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.