A. A. Aliev

Оценка влияния экосистемных платформ на инвестиционную привлекательность компаний

In this article, we investigate the effect of different energy variables on economic growth of several oil-importing EU member states. Three periods from 2000 to 2020 were investigated. Three different types of regression models were constructed via the gretl software. Namely, the OLS, FE, and SE approaches to panel data analysis were investigated. The FE approach was chosen as the final one. The results suggest the importance of the consumption of both oil and renewable energy on economic growth. Crises of certain periods also had a noteworthy effect as well.

In this article, the problem of modeling a time series using the Minimax method is considered. The expediency of using Minimax to identify points of change in trends and the range of changes in the graphical figures of technical analysis is justified. Spline approximation of the dynamic process with range constraints was performed to improve the quality of the model. Investors are advised to refrain from making hasty decisions in favor of holding reliable shares (such as PJSC Novatek shares), rather than selling them. The purchase of new shares should be carefully analyzed. Through an approximation of the dynamic number of the applicable optimization problem of minimizing the maximum Hausdorff distances between the ranges of the dynamic series and the values of the approximating function, the applied approach can provide reliable justification for signals to buy shares. Energy policy occupies the highest place in the list of progress ratings according to news analytics of businesses related to the energy sector of the economy. At the same time, statistical indicators and technologies of expert developments in this field, including intellectual analysis, can become an important basis for the development of a robotic knowledge program in the field under study, an organic addition to which is the authors’ methodology of development in energy economics as in energy policy. This paper examines the model of approximation of the multivalued time series of PJSC Novatek, represented as a series of ranges of numerical values of the indicators of financial markets, with constraints on the approximating function. The authors consider it advisable for promising companies to apply this approach for successful long-term investment.

Financial planning and forecasting are important functions of financial managers, analysts and are important in making management decisions. Long-term growth and strengthening of the company’s position in the market are impossible without high-quality financial planning. Improving the quality of forecasting requires a thorough analysis of the application of various methods and techniques. The article considers the methodological problems of forecasting key financial indicators related to forecasting the final results of the company. The algorithm for creating refined factor predictive models of financial indicators has been presented and tested. Based on the combined application of various economic and mathematical methods, the forecasting method has been improved, which makes it possible to reduce the forecast error, which in turn allows us making more accurate financial decisions.

Attracting financing and a stable inflow of capital investments for development is one of the most important issues in the framework of a market economy for any sphere, including the professional sports industry. The inflow of sufficient funding depends to a high degree on the investment attractiveness of the object. In addressing these issues, an essential role is played by the assessment of the effectiveness of financial and economic activities, which affects the amount of funds raised from both budgetary and extra-budgetary sources. The identification of the most important performance factors will allow us to direct efforts to maintain their favorable condition, which is the key to the stable development of the sports industry. The conducted analysis showed that with a competent approach, in particular in the issues of popularization of the sport, the league and club brand, customer orientation and the use of the product exclusivity factor, qualified personnel, as well as investment and innovation activity, including in the issue of training sports personnel, the professional sports industry can be considered as an effective investment and advertising tool that can generate income both in monetary form and in the form of image and socially significant effect.

The paper considers a set of theoretical, practical and methodological issues related to determining the level of competitiveness of publishing companies by forming an integral assessment. The methodology of the study is the application of the ranking system, the Fishburne method, the definition of the specific weights of indicators, allowing you to assess financial competitiveness of companies, the tools of graphic analysis to calculate the overall integrated indicators that characterize the level of competitiveness of the publishing company. The main findings of the study are to determine the level of competitive potential (LCP) of companies, through integral evaluation. The advantage of the assessment method used is the application of a system of financial, marketing and reputational indicators. This indicator system has made it possible to more accurately determine the level of financial competitiveness and improve the effectiveness of financial and investment decisions made in the publishing industry.

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