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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2019-23-2-105-116</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-843</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФИНАНСОВАЯ СИСТЕМА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCIAL SYSTEM</subject></subj-group></article-categories><title-group><article-title>Взаимосвязь цен на нефть и макроэкономических показателей в России</article-title><trans-title-group xml:lang="en"><trans-title>Relationship between Oil Price and Macroeconomic Indicators in Russia</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2478-0307</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Михайлов</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Mikhailov</surname><given-names>A. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексей Юрьевич Михайлов — кандидат экономических наук, аведующий лабораторией «Томсон Рейтер» Департамента финансовых рынков и банков</p></bio><bio xml:lang="en"/><email xlink:type="simple">AYUMihajlov@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3019-5200</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бураков</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Burakov</surname><given-names>D. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дмитрий Владимирович Бураков — кандидат экономических наук, доцент Департамента финансовых рынков и банков</p></bio><bio xml:lang="en"><p>Dmitrii V. Burakov — Cand. Sci. (Econ.), Associate Professor, Department of financial markets and banks</p></bio><email xlink:type="simple">DVBurakov@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4116-826X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Диденко</surname><given-names>В. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Didenko</surname><given-names>V. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"/><bio xml:lang="en"><p>Valentina Yu. Didenko — Cand. Sci. (Econ.), Associate Professor, Department of financial markets and banks</p></bio><email xlink:type="simple">VYDidenko@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>04</day><month>05</month><year>2019</year></pub-date><volume>23</volume><issue>2</issue><fpage>105</fpage><lpage>116</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Михайлов А.Ю., Бураков Д.В., Диденко В.Ю., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Михайлов А.Ю., Бураков Д.В., Диденко В.Ю.</copyright-holder><copyright-holder xml:lang="en">Mikhailov A.Y., Burakov D.B., Didenko V.Y.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://financetp.fa.ru/jour/article/view/843">https://financetp.fa.ru/jour/article/view/843</self-uri><abstract><p>Одним из важнейших внешних факторов, влияющих на курс доллара к рублю, продолжает оставаться мировая цена на нефть. Россия — один из крупнейших в мире поставщиков «черного золота», ее экономика в основном связана с нефтедобычей. Поэтому малейшие колебания цен на нефть оказывают на нее сильнейшее влияние. Цель работы — изучение взаимосвязи между макроэкономическими параметрами и ценами на нефть. 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. Рассчитано, что рост ВВП на 1% приводит к укреплению национальной валюты на 1,47%. Этот факт можно объяснить ростом экономики страны в целом. 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.</p></abstract><trans-abstract xml:lang="en"><p>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.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Россия</kwd><kwd>экономический рост</kwd><kwd>цена на нефть</kwd><kwd>рублевый баррель</kwd><kwd>временные ряды</kwd><kwd>методы прогнозирования временных рядов</kwd><kwd>метод Грэнджера</kwd><kwd>тест Дики-Фуллера</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Russia</kwd><kwd>economic growth</kwd><kwd>oil price</kwd><kwd>ruble barrel</kwd><kwd>time series</kwd><kwd>time series forecasting methods</kwd><kwd>Granger method</kwd><kwd>Dickie-Fuller test</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Amano R.A., van Norden S. 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