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ANALYSIS OF THE DYNAMICS OF EUROPE STOCK MARKETS DEVELOPMENT

Authors: Olena Serhiienko; Mykhailo Bril; Valeria Baranova; Maryna Tatar; Oleksandr Bilotserkivskyi;

ANALYSIS OF THE DYNAMICS OF EUROPE STOCK MARKETS DEVELOPMENT

Abstract

The article proposes a complex of economic and mathematical models of assessment, analysis, and forecasting of the world stock indices development state for effective management of investment flows. The modern concept and strategy of European countries’ stock market development were considered, and the existing methods of diagnosing the stock market development level were analyzed. ARIMA models were built and spectral analysis of the main world indices was carried out. The possible trends in the stock indices development for the future period were analyzed using predictive models. It makes it possible to determine directions for improving the stock market efficiency and investment strategies in modern conditions.The proposed set of models for evaluation, analysis, and forecasting of the world stock indices state can be used to test various trading strategies and to test various hypotheses in relation to the entire stock portfolio of a particular company or to one stock index. The results of the research can be used in the development of theoretical provisions and methodological tools for evaluating the global stock market effectiveness in modern conditions and development trends in local markets.

Country
Ukraine
Keywords

HF5001-6182, прогнозування, modeling, forecasting, stock market, spectral analysis, фондовий індекс, Economics as a science, stock index, спектральний аналіз, фондовий ринок, Business, ARIMA model, HB71-74, моделювання, АРІМА-модель

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold