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  • Development of Recommendations for Investment Decision-Making by Investing Companies, Considering the Analysis of the Rationships between the World's Largest Financial Markets

Development of Recommendations for Investment Decision-Making by Investing Companies, Considering the Analysis of the Rationships between the World's Largest Financial Markets

Student: Aleksandrov Anton

Supervisor: Natalia Sizykh

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2021

In this paper, recommendations are developed for effective decision-making regarding active regulation of the securities portfolio, taking into account the relationships between industry indices and the largest exchanges in the United States, Russia, Europe, and Asia, using the influence of various information guides in the period of 2014-2020. For this purpose, the analysis of modern thematic scientific literature is carried out, the most promising models for finding dependencies between the stock indices of the United States, Russia, Germany, China, and Japan are identified. The most significant stock indices of these countries are studied in pairs, and the impact of macroscopic factors, information guides, and economic factors on financial markets is revealed and justified. The major stock indices of this number of countries below were selected as the initial data: the United States, Russia, Great Britain, Germany, Japan, and China. In addition to the stock indices of the largest stock exchanges in these countries, namely: S&P500 (USA), RTS (Russia), DAX (Germany), Nikkei 100 (Japan), SSEC (China), the indices of the following industries were also used: industry, raw materials, finance, oil and gas, metals, consumer sector. The "dollar strength" index – DXY-was also actively used. The indexes of the period from 2014 to 2020 were considered. The data was downloaded from the platforms investing.com and investfunds.ru. Data on infopods were collected on the websites of the world's largest media, for example, BBC, Time, TASS, RIA.

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