Forecasting Economic Indicators by Applied Technologies of Data Processing

Today economic forecasts are necessary to identify possible goals of business and society development in general. Available models of information processes of economic system functioning differ by methods of mathematic tools usage. The degree of algorithm complexity with regard to their advantages a...

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Autores principales:	R. R. Veynberg, A. S. Skotchenko, A. A. Grigorev, A. B. Yaroshyk
Formato:	article
Lenguaje:	RU
Publicado:	Plekhanov Russian University of Economics 2021
Materias:	trend line economic forecasting economic and mathematic models Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/0b14da85b1ae4b00813b9c613a7a1627
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spelling	oai:doaj.org-article:0b14da85b1ae4b00813b9c613a7a16272021-11-15T05:20:50ZForecasting Economic Indicators by Applied Technologies of Data Processing2413-28292587-925110.21686/2413-2829-2021-1-124-132https://doaj.org/article/0b14da85b1ae4b00813b9c613a7a16272021-02-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/1012https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251Today economic forecasts are necessary to identify possible goals of business and society development in general. Available models of information processes of economic system functioning differ by methods of mathematic tools usage. The degree of algorithm complexity with regard to their advantages and drawbacks cannot give an opportunity to choose one method without certain changes. For example, when the trend line is plotted usually only one economic indicator is used, however practice shows that in forecasting it is necessary to take into account several interdependent factors. Standard applied software products are rather expensive and to resolve the set tasks some additional instrumental means, tuning and users’ training are needed. The article proposes a method of plotting the trend line for several economic indicators simultaneously by using tools of widely spread software. The results of using the method for finding the common trend line for the rate of Euro to Russian ruble and the cost of oil barrel (3D) were shown. Apart from that the mathematic instrument for n-dimension case, which later could allow us to assess the possibility of changing several economic indicators at once and analyze their mutual impact.R. R. VeynbergA. S. SkotchenkoA. A. GrigorevA. B. YaroshykPlekhanov Russian University of Economicsarticletrend lineeconomic forecastingeconomic and mathematic modelsEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 18, Iss 1, Pp 124-132 (2021)
institution	DOAJ
collection	DOAJ
language	RU
topic	trend line economic forecasting economic and mathematic models Economics as a science HB71-74
spellingShingle	trend line economic forecasting economic and mathematic models Economics as a science HB71-74 R. R. Veynberg A. S. Skotchenko A. A. Grigorev A. B. Yaroshyk Forecasting Economic Indicators by Applied Technologies of Data Processing
description	Today economic forecasts are necessary to identify possible goals of business and society development in general. Available models of information processes of economic system functioning differ by methods of mathematic tools usage. The degree of algorithm complexity with regard to their advantages and drawbacks cannot give an opportunity to choose one method without certain changes. For example, when the trend line is plotted usually only one economic indicator is used, however practice shows that in forecasting it is necessary to take into account several interdependent factors. Standard applied software products are rather expensive and to resolve the set tasks some additional instrumental means, tuning and users’ training are needed. The article proposes a method of plotting the trend line for several economic indicators simultaneously by using tools of widely spread software. The results of using the method for finding the common trend line for the rate of Euro to Russian ruble and the cost of oil barrel (3D) were shown. Apart from that the mathematic instrument for n-dimension case, which later could allow us to assess the possibility of changing several economic indicators at once and analyze their mutual impact.
format	article
author	R. R. Veynberg A. S. Skotchenko A. A. Grigorev A. B. Yaroshyk
author_facet	R. R. Veynberg A. S. Skotchenko A. A. Grigorev A. B. Yaroshyk
author_sort	R. R. Veynberg
title	Forecasting Economic Indicators by Applied Technologies of Data Processing
title_short	Forecasting Economic Indicators by Applied Technologies of Data Processing
title_full	Forecasting Economic Indicators by Applied Technologies of Data Processing
title_fullStr	Forecasting Economic Indicators by Applied Technologies of Data Processing
title_full_unstemmed	Forecasting Economic Indicators by Applied Technologies of Data Processing
title_sort	forecasting economic indicators by applied technologies of data processing
publisher	Plekhanov Russian University of Economics
publishDate	2021
url	https://doaj.org/article/0b14da85b1ae4b00813b9c613a7a1627
work_keys_str_mv	AT rrveynberg forecastingeconomicindicatorsbyappliedtechnologiesofdataprocessing AT asskotchenko forecastingeconomicindicatorsbyappliedtechnologiesofdataprocessing AT aagrigorev forecastingeconomicindicatorsbyappliedtechnologiesofdataprocessing AT abyaroshyk forecastingeconomicindicatorsbyappliedtechnologiesofdataprocessing
_version_	1718428597512830976

Forecasting Economic Indicators by Applied Technologies of Data Processing

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