Перегляд за автором "Novikova, T."
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Публікація Comparative Assessment the Development of Stock Market in the UK and Germany in the Face of New Challenges the COVID-19 Pandemic(IJAAR, 2022) Lyashenko, V.; Novikova, T.; Babenko, M.The accumulation and redistribution of financial resources is one of the conditions for the efficiency of economic activity, economic development, and the successful functioning of all sectors of the economy. Among the main instruments for such accumulation and redistribution, one can use stock market instruments or instruments of the banking sector of the economy. We settled on stock market instruments. However, in order to effectively manage financial resources, it is necessary to carry out a comprehensive analysis of the data that we have. This is especially important when there are global transformations of the economy under the influence of various factors of influence. One such factor is the development of the COVID-19 pandemic. The COVID-19 pandemic affects all areas of economic life, including the sphere of financial resource management. For the corresponding analysis, we have chosen the methodology of wavelet analysis. We applied the wavelet coherence estimation method for data analysis. The paper considers real data and real estimates for the analysis of the stock markets of the UK and Germany in the context of the development of the COVID-19 pandemic. Various graphs and diagrams are presented to understand the processes that are being investigated.Публікація Comparative Assessment the Dynamics of Stock Indices in France, Germany, Italy and Great Britain(IJAAFMR, 2021) Lyashenko, V.; Baranova, V.; Novikova, T.Comparative assessment is one of the tools for data processing and analysis. This assessment allows you to assess the effectiveness of interaction and direction of development between the objects that are compared. Among the various spheres of scientific and applied research, the analysis of the development of economic relations deserves special attention. This is necessary to understand the dynamics of general economic development, the functioning of economies in difficult conditions (for example, in the context of a pandemic). The object of such a study can be various financial flows. The generalizations of the movement of financial flows are stock indices. We examined the relationship between the dynamics of stock indices in France, Germany, Italy and the UK. We reviewed the most significant stock indices in each of the countries. This makes it possible to assess the economic development of such European countries, their mutual influence on each other, to show the level of interconnection. For this we use the ideology of wavelet analysis. Based on wavelet coherence, we examined est imates of the relationship between stock indices in France, Germany, Italy and the UK. The results of calculations for real data are presented. The results show the real level of economic interconnection between the countries we study. These results are based on the real dynamics of stock indices. This allows making decisions for the development of mutual economic ties between European countries, between European countries and the rest of the world.Публікація Dynamics in the Financial Markets of Europe in the Reflection of Streaming Financial Futures(IJAAFMR, 2022) Lyashenko, V.; Stepurina, S.; Novikova, T.Financial data plays an important role in economic development. These data determine the direction and dynamics of the relevant financial flows, which are one of the foundations of interaction between various business entities. The formation of such data occurs under the influence of the relevant processes of economic dynamics, which are manifested in various segments of t he financial market. One of the tools for such formation of data and the corresponding financial flows are financial futures. Based on this, the paper considers the dynamics of the main financial futures of the European financial market. The visualization of t he dynamics of quotations for financial futures in the form of corresponding charts is presented. The main statistical characteristics of the dynamics of quotations for financial futures of the European financial market are summarized. The mutual dynamics of quotations for some pairs of futures that we analyze are considered. This allows you to choose the best investment strategy for entering the relevant segment of the financial market, to understand the dynamics of its development. For such an analysis, wavelet coherence estimates are used. The paper presents a lot of factual material in the form of graphs and diagrams, which helps to understand the logic of this study and its results.