Наукові публікаціі у закордонних періодичних виданнях
Постійне посилання колекціїhttps://dspace.krok.edu.ua/handle/krok/3218
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Документ Economic assessment of the activity of retail investors on the stock market(Scientific Center of Innovative Researches OÜ, 2024) Kuzminsky, Volodymyr; Ziemtsov, Serhii; Кузьмінський, Володимир ЗигмонтовичThe article examines the activity of a retail investor on the stock market. Issues of economic assessment of their activity and problems of increasing its effectiveness are studied. The dynamics of the share of retail investors in the total volume of trading in the stock market is analyzed. The key factors of growth of retail investors' activity in the stock market are studied. It was determined that the share of retail investors in the volume of trades on the stock market has almost doubled. The factors that caused such a powerful dynamic were analyzed. Two factors such as available investment opportunities and empowerment through information are discussed in detail. An economic assessment of the effectiveness of the activities of retail investors was carried out. The reasons for the negative results of their work on the stock market have been revealed. The importance of developing specific investment goals before starting investment activities on the stock market and adapting investment strategies to them is determined. It is suggested to use paper trading simulators that reproduce the real trading environment. It has been found to allow investors to make virtual trades and track their performance in real time. It is recommended to engage more comprehensive analytical and research platforms that provide tools for charting and price research. This has been proven to allow investors to more effectively analyze market trends, identify potential economic opportunities, and develop effective trading strategies. Possibilities of minimizing transaction costs through the use of ETFs-shares of investment funds, which are often traded on the stock exchange, are considered. As a result of the conducted research, the possibilities of further scientific research on this topic in the direction of using the latest financial programs based on artificial intelligence and comprehensive assessment of the interaction of various sectors of the stock market with their help were considered.Документ Features of forecasting stock price changes of oil production companies using combinations of trend and non-trend indicators(Scientific Center of Innovative Research OU, 2024) Savchenko, Vadym; Bobrov, Yevgeniy; Бобров, Євгеній АнатолійовичToday, a company's share price is influenced by a wide array of factors, ranging from fundamental internal dynamics to political decisions, industry-specific developments, macroeconomic conditions, and global trends. Investors face challenges in selecting an appropriate approach to identifying the target industry and asset, interpreting analysis results, and determining the optimal market entry point. In this context, several pertinent issues emerge regarding forecasting share price changes for oil production companies (BP p.l.c, Chevron p.l.c, Exxon Mobil Corp., Shell p.l.c) on the stock exchange, particularly concerning the use of technical analysis tools like moving averages and oscillators. This study examines the impact of different moving average settings and their combinations on the accuracy of predicting share price movements. Based on these findings, tasks addressed by such indicators are identified, and a systematic approach to selecting technical analysis tools and their configurations is proposed. The paper explores various methods for forming and interpreting signals generated by individual indicators and their combinations, focusing on their implications for forecasting asset price changes. Several criteria are proposed for evaluating the effectiveness of these approaches during the testing phase. The study compares and analyzes the results of multiple forecasting system configurations, identifying the optimal ones according to the selected criteria. Calculations are based on weekly stock data spanning 2000 to 2024, from which the most effective combination of indicators for the forecasting system is determined. Potential areas for optimization and additional tools to enhance the system are also outlined. Finally, the study concludes that the proposed approach to constructing a forecasting system is viable for executing real stock transactions with the selected companies' shares.