FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION

This article is dedicated to the problem of forecasting of Foreign Direct Investments (later in article - FDI) into the regions of Russian Federation. Assessment of FDI forecasted levels is done using not only classical forecasting methods (e.g. ARIMA) but with modern methods used by researches curr...

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Main Author: Lilia V. Matraeva
Format: Article
Language:Russian
Published: Plekhanov Russian University of Economics 2016-08-01
Series:Статистика и экономика
Subjects:
Online Access:https://statecon.rea.ru/jour/article/view/281
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author Lilia V. Matraeva
author_facet Lilia V. Matraeva
author_sort Lilia V. Matraeva
collection DOAJ
description This article is dedicated to the problem of forecasting of Foreign Direct Investments (later in article - FDI) into the regions of Russian Federation. Assessment of FDI forecasted levels is done using not only classical forecasting methods (e.g. ARIMA) but with modern methods used by researches currently - neural networks.Comparative analysis of efficiency of above mentioned methods is done in this article as well. Assessment is done on when modern forecasting methods are more suitable than classical ones which is illustrated on real life examples.
format Article
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institution Kabale University
issn 2500-3925
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publishDate 2016-08-01
publisher Plekhanov Russian University of Economics
record_format Article
series Статистика и экономика
spelling doaj-art-37ecf753c4a74f01b57c2dc84cbcdd8d2025-08-20T03:57:12ZrusPlekhanov Russian University of EconomicsСтатистика и экономика2500-39252016-08-010517217610.21686/2500-3925-2013-5-172-176280FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATIONLilia V. Matraeva0Russian State University of Trade and Economics, Tula branchThis article is dedicated to the problem of forecasting of Foreign Direct Investments (later in article - FDI) into the regions of Russian Federation. Assessment of FDI forecasted levels is done using not only classical forecasting methods (e.g. ARIMA) but with modern methods used by researches currently - neural networks.Comparative analysis of efficiency of above mentioned methods is done in this article as well. Assessment is done on when modern forecasting methods are more suitable than classical ones which is illustrated on real life examples.https://statecon.rea.ru/jour/article/view/281прямые иностранные инвестициипрогнозированиеарпсснейронные сетирегиональная инвестиционная политикаforeign direct investmentsforecastingarimaneural networksregional investment policy
spellingShingle Lilia V. Matraeva
FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
Статистика и экономика
прямые иностранные инвестиции
прогнозирование
арпсс
нейронные сети
региональная инвестиционная политика
foreign direct investments
forecasting
arima
neural networks
regional investment policy
title FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
title_full FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
title_fullStr FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
title_full_unstemmed FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
title_short FORECASTING OF FOREIGN DIRECT INVESTMENTS INTO THE REGIONS OF RUSSIAN FEDERATION
title_sort forecasting of foreign direct investments into the regions of russian federation
topic прямые иностранные инвестиции
прогнозирование
арпсс
нейронные сети
региональная инвестиционная политика
foreign direct investments
forecasting
arima
neural networks
regional investment policy
url https://statecon.rea.ru/jour/article/view/281
work_keys_str_mv AT liliavmatraeva forecastingofforeigndirectinvestmentsintotheregionsofrussianfederation