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Forecasting the financial market and its impact on the industry development

Il'yasov R.Kh. Chechen State University, Grozny, Chechen Republic, Russian Federation ( ilyasov_95@mail.ru )

Kurazova D.A. Chechen State University, Grozny, Chechen Republic, Russian Federation ( diana.kurazova.89@list.ru )

Journal: Finance and credit, #43, 2017

Importance The subject of the research is mathematical methods of forecasting the movement of the financial market. The relationship between the financial market and the state of the industrial sector is also researched in the paper.
Objectives The purpose of the study is to substantiate the significance of the financial market and its impact on the real sector of economy. The mathematical tools are used to analyze the state of the market and its future dynamics.
Methods The article uses the regression-correlation analysis, statistical analysis, horizontal and vertical data analysis. The growth rates of the main industrial indices of the Moscow stock exchange are also analyzed and a forecast of their future movement is made.
Results The results of the research can be used to develop the future strategic guidelines of reforming Russia's financial market.
Conclusions and Relevance The value of this work is that the attention is focused on the internal mechanisms of attracting investments. It is the result of the formation of a mathematical instrument of forecasting the financial market conditions.


Effects of fluctuation in the stock market on the development of industrial production

Kurazova D.A. Chechen State University, Grozny, Chechen Republic, Russian Federation ( diana.kurazova.89@list.ru )

Journal: Financial Analytics: Science and Experience, #38, 2016

Importance In any State, the stock market is an effective mechanism to attract and accumulate investment flows into the real sector of economy. If fluctuations in the stock market rates are examined with their influence on development indicators of industrial production, and their correlation is assessed, it will streamline articulating tactics and strategy for further development of the sectors.
Objectives The research evaluates how fluctuating stock market rates in the domestic stock market influence growth and development of industrial production sectors in Russia, thus allowing to adjust the industrial policy and its effect on the stock market and forecast a probable investment policy.
Methods I used methods of financial, graphic, statistical, comparative, regression analysis, collation, analogy.
Results The research represents a comprehensive overview of growth pace and trends of key industrial production indicators in correlation with trends in aggregate industrial indexes of the Moscow Stock Exchange. Upon the analysis, I got three regression equations that reflected the correlation of the stock market and growth rates of Russia’s industrial production.
Conclusions and Relevance As for scientific value of the research, it analyzes and substantiates the relation among key indicators of industrial production development in Russia and the domestic stock market conditions.


Forecasting the Situation in the Financial Market and Evaluating Its Impact on the Industry Development

Il'yasov R.Kh. Chechen State University, Grozny, Chechen Republic, Russian Federation ( ilyasov_95@mail.ru )

Kurazova D.A. Chechen State University, Grozny, Chechen Republic, Russian Federation ( diana.kurazova.89@list.ru )

Journal: Digest Finance, #1, 2018

Importance The research focuses on mathematical methods for forecasting the financial market trends in its impact on the industry development. Viewing the future economic development through the lens of the financial sector trends, many researchers proved the relationship between the financial market situation and the industrial sector.
Objectives In theory and practice, the research substantiates the significance of the financial market, its impact of the real economy, considering the existing lack of finance and investment resources. Applying mathematical tools for analyzing the market and its future trends, we determine how it will rise and fall in industrial sectors of the national economy. The forecast allows to adjust an economic policy and alleviate possible crunches.
Methods Based on methods of regression-and-correlation, statistical, horizontal and vertical analysis of data, we examine rates of growth in key industrial indices at the Moscow Stock Exchange and predict their future behavior.
Results As part of this research, we devised forecasting tools for examining the financial market and key mechanisms for raising investment resources from the financial sector.
Conclusions and Relevance The research is of scientific value since it explores internal mechanisms for raising investment, which result from a mathematical framework for market forecasting. The resultant forecasting tools are recommendable to use to get a deeper understanding of the financial market trends and key mechanisms for attracting investment resources from the financial sector.


Setting up an algorithm for stock market trading strategies

Fedotova G.V. Volgograd State Technical University, Volgograd, Russian Federation ( g_evgeeva@mail.ru )

Ermakova A.A. Volgograd State Technical University, Volgograd, Russian Federation ( 261984@mail.ru )

Kurazova D.A. Chechen State University, Grozny, Chechen Republic, Russian Federation ( diana.kurazova.89@list.ru )

Journal: National interests: priorities and security, #11, 2016

Importance The stock market is one of the best financial mechanisms for unleashing investment in the national economy. The article reviews today's path for Russia's stock market development over the last 10 years, and provides an insight into algorithmic trading and analyzes the effectiveness of trading robot.
Objectives The research evaluates technological development of the stock market and points out algorithmic trading prospects. The article sets and consistently addresses such goals as an analysis of the extent to which trading on the Russian stock market has been converted into a certain algorithm, existing global economic situation of the previous years, methods for trading robot construction and operation, testing of the trading robot, and performance results seen in the Moscow Stock Exchange, and forecast the algorithmic trading development.
Methods The article involves methods of comparative analysis, moving average, systematization, classification, analogy, collation.
Results The article comprehensively overviews algorithmic trading in the Russian stock market over the previous years. We also assess indicators of the current return on algorithmic trading process, illustrating the designed trading robot.
Conclusions and Relevance This research presents a practical value since if investment mechanisms are refocused on the innovative development path, it will dissolve the dependence on oil prices. It will help Russia properly overcome the crisis and move the Russian stock market forward.


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