FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES

The article shows specific features of short-term forecast models, which were realized on the basis of the solution trees method applied to regression task. The authors provide the description of key characteristics of the trees solution method using CART algorithm. The necessity to use alternative...

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Autores principales:	Olga V. Kitova, Igor B. Kolmakov, Ilya A. Penkov
Formato:	article
Lenguaje:	RU
Publicado:	Plekhanov Russian University of Economics 2017
Materias:	investment indicators short-term forecasting cart algorithm system of hybrid models Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/ed8077c7ca8e4be790a9abfb5e3fa2b0
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spelling	oai:doaj.org-article:ed8077c7ca8e4be790a9abfb5e3fa2b02021-11-15T05:20:44ZFORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES2413-28292587-925110.21686/2413-2829-2016-6-86-95https://doaj.org/article/ed8077c7ca8e4be790a9abfb5e3fa2b02017-09-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/226https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251The article shows specific features of short-term forecast models, which were realized on the basis of the solution trees method applied to regression task. The authors provide the description of key characteristics of the trees solution method using CART algorithm. The necessity to use alternative intellectual methods of forecasting was grounded due to more difficult and highly uncertain nature of political and social-economic processes. The mechanism of final summing-up of forecasts was described. The authors put forward several variants of implementing models designed by Python programming. Computer experiments were conducted to adjust model parameters that can guarantee acceptable results in forecasting investment indicators.Olga V. KitovaIgor B. KolmakovIlya A. PenkovPlekhanov Russian University of Economicsarticleinvestment indicatorsshort-term forecastingcart algorithmsystem of hybrid modelsEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 6, Pp 86-95 (2017)
institution	DOAJ
collection	DOAJ
language	RU
topic	investment indicators short-term forecasting cart algorithm system of hybrid models Economics as a science HB71-74
spellingShingle	investment indicators short-term forecasting cart algorithm system of hybrid models Economics as a science HB71-74 Olga V. Kitova Igor B. Kolmakov Ilya A. Penkov FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
description	The article shows specific features of short-term forecast models, which were realized on the basis of the solution trees method applied to regression task. The authors provide the description of key characteristics of the trees solution method using CART algorithm. The necessity to use alternative intellectual methods of forecasting was grounded due to more difficult and highly uncertain nature of political and social-economic processes. The mechanism of final summing-up of forecasts was described. The authors put forward several variants of implementing models designed by Python programming. Computer experiments were conducted to adjust model parameters that can guarantee acceptable results in forecasting investment indicators.
format	article
author	Olga V. Kitova Igor B. Kolmakov Ilya A. Penkov
author_facet	Olga V. Kitova Igor B. Kolmakov Ilya A. Penkov
author_sort	Olga V. Kitova
title	FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
title_short	FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
title_full	FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
title_fullStr	FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
title_full_unstemmed	FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES
title_sort	forecasting the investment indicators on the basis of solution trees
publisher	Plekhanov Russian University of Economics
publishDate	2017
url	https://doaj.org/article/ed8077c7ca8e4be790a9abfb5e3fa2b0
work_keys_str_mv	AT olgavkitova forecastingtheinvestmentindicatorsonthebasisofsolutiontrees AT igorbkolmakov forecastingtheinvestmentindicatorsonthebasisofsolutiontrees AT ilyaapenkov forecastingtheinvestmentindicatorsonthebasisofsolutiontrees
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FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES

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