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Study purpose. Existing approaches to forecasting dynamics of financial markets, as a rule, reduce to econometric calculations or technical analysis techniques, which in turn is a consequence of preferences among specialists, engaged in theoretical research and professional market participants, respectively. The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. In other words, this model should be estimated using traditional methods of econometrics and, at the same time, take into account the impact on the pricing process of the effect of clustering participants on behavioral patterns, as the basis of technical analysis. In addition, it is necessary that the created economic-mathematical model should take into account the phenomenon of existing historical trading levels and control the influence they exert on price dynamics, when it falls into local areas of these levels. Such analysis of price behavior patterns in certain areas of historical repeating levels is a popular approach among professional market participants. Besides, an important criterion of developing model’s potential applicability by a wide range of the interested specialists is its general functional form’s simplicity and, in particular, its components.Materials and methods. In the study, the market of the pound sterling exchange rate against the US dollar (GBP/USD) for the whole period of 2017 was chosen as the considered financial series, in order to forecast it. The presented economic-mathematical model was estimated by classical Kalman filter with an embedded neural network. The choice of these assessment tools can be explained by their wide capabilities in dealing with non-stationary, noisy financial market time series. In addition, applying Kalman filter is a popular technique for estimation local-level models, which principle was implemented in the newly model, proposed in article.Results. Using chosen approach of simultaneous applying Kalman filter and artificial neural network, there were obtained statistically significant estimations of all model’s coefficients. The subsequent model application on GBP/USD series from the test dataset allowed demonstrating its high predictive ability comparing with added random walk model, in particular judging by percentage of correct forecast directions. All received results have confirmed that constructed model allows effectively taking into account structural features of considered market and building good forecasts of future price dynamics.Conclusion. The study was focused on developing and improving apparatus of forecasting financial market prices dynamics. In turn, economic-mathematical model presented in that paper can be used both by specialists, carrying out theoretical studies of pricing process in financial markets, and by professional market participants, forecasting the direction of future price movements. High percentage of correct forecast directions makes it possible to use proposed model independently or as a confirmatory tool.

Purpose: the main goal of the article is to investigate the possibilities of improving the procedures for organizing the optimal admission of students to higher education institutions that train modern specialists. In view of the fact that creative managers and entrepreneurs are vitally important for the national economy of Russia and its trade and economic partners, ready to assume managerial responsibility and entrepreneurial risks in turbulent economic conditions. Higher education in the global value system is regarded as the most significant factor in the economic and social development of national cultures and is realized in the conditions of severe competition in the educational market. Methods: the following basic research methods were used to solve the tasks: comparative analysis, scientific classification, systematization, theoretical generalization, and statistical methods. Results: scientific and methodical support of rational procedures for organizing the optimal reception of students with the greatest economic effect and level of education on the basis of the economic-mathematical model and the principles of multi-criteria choice was developed. Conclusions and Relevance: the subsystem of paid education in the field of higher education has led to the intensification of comprehensive studies to improve the efficiency of entrepreneurial activity, especially at the stage of preparation for admission of applicants for the forthcoming academic year to state budget and non-state educational institutions.

The article evaluates the impact of competition on the work of editorial bodies of the local communal print media. The indicators of profitability of communal newspapers, their circulation, and the cost of subscribing in terms of regions were researched. An indicative framework has been defined and, proceedng from results of the correlation-regression analysis, impact of the demographic, institutional, economic, social, infrastructural factors and indicators of performance of communal newspapers on the number of profitable communal publications, the amount of local budget subsidies, and the average annual cost of subscriptions have been evaluated. The identified features of relationship between the factors allowed to allocate only one significant factor of influence on the number of profitable communal newspapers and none for the local budget subsidies and the average annual cost of the subscription. The carried out calculations led to the conclusion that profitability of the editorial bodies of the local communal print media is provided, above all, by efficiency of their management. The external factors, although they form a competitive environment for the local media, have no significant impact on their profitability.

Consider regularities and tendencies for the three types of entrepreneurial structures — small enterprises, medium enterprises and individual entrepreneurs. The aim of the research was to confirm the possibilities of describing indicators of aggregate entrepreneurial structures with the use of normal law distribution functions. Presented proposed by the author the methodological approach and results of construction of the functions of the density distribution for the main indicators for the various objects: the Russian Federation, regions, as well as aggregates ofentrepreneurial structures, specialized in certain forms ofeconomic activity. All the developed functions, as shown by the logical and statistical analysis, are of high quality and well-approximate the original data. In general, the proposed methodological approach is versatile and can be used in further studies of aggregates of entrepreneurial structures. The received results can be applied in solving a wide range of problems justify the need for personnel and financial resources at the federal, regional and municipal levels, as well as the formation of plans and forecasts of development entrepreneurship and improvement of this sector of the economy.

The article is devoted development of conceptual model of management the conduct of export-oriented enterprise. A model is directed on upgrading and efficiency of administrative decisions on an export-oriented enterprise by the use of the system of economic-mathematical models and methods which take into account nonlinear influence of external environment and synchronous or asynchronous conduct of spheres of vital functions of enterprise on the general trajectory of development of export-oriented enterprise.Статья посвящена разработке концептуальной модели управления поведением экспортоориентированого предприятия. Модель направлена на повышение качества и эффективности управленческих решений на экспортоориентированом предприятии с помощью использования системы экономико-математических моделей и методов, которые учитывают нелинейное влияние внешней среды и синхронное или асинхронное поведение сфер жизнедеятельности предприятия на генеральную траекторию развития экспортоориентированого предприятия.

The article identifies the key factors that affect the activity of the industries of the tourism companies. The impact of these factors on the functioning and development of the tourism enterprises are evaluated with the help of the correlation-regression analysis, selected the most significant factors and proposed a line of econometric models, which describe the data dependence. Its analyse is conducted. [ABSTRACT FROM AUTHOR]