doctoral candidate from 01.01.2008 to 01.01.2026
Moscow, Russian Federation
Subject. Development of an algorithm for studying investors' interest in the information technology sector, expressed in the purchase of shares, using the example of events in the Russian, EU, and US markets in 2023-2026. Objectives. Improvement of procedures for systematizing and visualizing information to prove the relevance of problems in attracting long-term financial investments in the information technology sector and the need for discussion and interdisciplinary search for solutions to these problems. Methods. To achieve objectives, the presented study uses general scientific methods of comparison, juxtaposition, and system analysis, as well as a special method for visualizing information: multidimensional scaling. Results An algorithm for studying investors' interest in economic sectors as expressed in the purchase of shares has been developed and demonstrated in practice using the example of the stock market in the information technology sector in the Russian Federation, the European Union, and the United States in 2023-2026. The use of advanced procedures for systematizing and visualizing financial information has drawn the attention of experts to the issue of attracting long-term financial investments in the information technology sector and the need for an interdisciplinary approach to solving this problem. Relevance. The research results can be used by financial market participants as well as by the scientific community for further study and improvement of mechanisms for increasing the efficiency of attracting investments in the national economy.
investment interest, information technology sector, foreign markets, stock index, past data, multidimensional scaling
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