Abstract

One of the most important external factors affecting the exchange rate of the US dollar to the Russian rouble has been the global oil price. Russia, whose economy is mainly associated with oil production, is one of the world’s largest oil suppliers. Therefore, the slightest fluctuations in oil prices can have a significant effect on its economy. The aim of the article is to study the relationship between macroeconomic parameters and oil prices. The objectives of the study are to identify factors having a long-term positive relationship with oil prices based on a mathematical approach, as well as to propose improvements for Russian macroeconomic indicators. The authors use modern mathematical methods of vector autoregression (VAR-model), the Granger method and the Dickey-Fuller test to study the long-term and shortterm relationships between the relevant time series for the period from 2014 to 2016. On this basis, it was calculated that a 1% increase in GDP leads to a strengthening of the national currency by 1.47%. This fact can be explained by the overall growth of the national economy. The Granger test results for the model show that global oil price (and Russian GDP) has the greatest impact on the exchange rate in the short term. The following actions are proposed for improving macroeconomic indicators: stabilisation of foreign economic policy; diversification of exports (although oil revenues can serve as a tool for improving the quality of Russian economic development and public life in general); development of the Russian ‘Urals’ benchmark and increasing its trading volumes on the world market; transition to rubles for settlements of Russian oil and gas; use of a ruble indicator (ruble barrel) of the ‘Urals’ oil price to support the development of Russia’s financial and economic policy.

Highlights

  • One of the most important external factors affecting the exchange rate of the US dollar to the Russian rouble has been the global oil price

  • Russia, whose economy is mainly associated with oil production, is one of the world’s largest oil suppliers

  • The objectives of the study are to identify factors having a long-term positive relationship with oil prices based on a mathematical approach, as well as to propose improvements for Russian macroeconomic indicators

Read more

Summary

Взаимосвязь цен на нефть и макроэкономических показателей в России

Задачи исследования: выявление факторов, имеющих долгосрочную положительную связь с ценами на нефть на основе математического подхода и подготовка предложений по улучшению макроэкомических индикаторов России. Авторы используют современные математические методы векторной авторегрессии (VAR-модель), метод Грэнджера, тест Дики-Фуллера для исследования долгосрочных и краткосрочных отношений между временными рядами за период c 2014 по 2016 г. Результаты теста Грейнджера для модели показывают, что цена на нефть (как и ВВП) оказывает наибольшее влияние на валютный курс в краткосрочной перспективе. Предложены следующие действия по улучшению макроэкономических показателей: стабилизация внешнеэкономической политики; диверсификация экспорта: нефтяные доходы могут превратиться в инструмент повышения качества развития российской экономики и жизни общества в целом; формирование российского бэнчмарка Urals и повышение объемов торгов по нему до мирового уровня; перевод расчетов за российскую нефть и газ в рубли; использование рублевого индикатора (рублевый баррель) цены на нефть марки Urals при формировании финансово-экономической политики России. Ключевые слова: Россия; экономический рост; цена на нефть; рублевый баррель; временные ряды; методы прогнозирования временных рядов; метод Грэнджера; тест Дики-Фуллера.

ОБЗОР ЛИТЕРАТ УРЫ
РЕЗУЛ ЬТАТ Ы
Log EXCH log CPI log OIL log GDP log EXPORT
Test results for RUBUSD
Findings
Значение для доверительного интервала
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.