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Gotowe bibliografie tematyczne / Ruble exchange rate to Brent price correlation

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Gotowa bibliografia na temat „Ruble exchange rate to Brent price correlation”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Ruble exchange rate to Brent price correlation"

1

Bikalova, N., A. Korobko, and E. Konstantinova. "Currency interventions. How the Central Bank participates in overcoming the economic crisis in Russia." Bulletin of Science and Practice, no. 6 (June 14, 2017): 239–44. https://doi.org/10.5281/zenodo.808752.

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The article is devoted to the currency interventions that were carried out by Central Bank of Russia in order to mitigate crisis consequences. Authors made an analysis of the correlation between ruble to dollar exchange rate and Brent price, derivatives of this correlation and made a conclusion about the efficiency of the Central Bank actions. The article is relevant, all analysed actions are connected with the 2017 year and concerned interventions that will be done by Central Bank soon.

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2

Esina, P., and Li Jie. "THE IMPACT OF THE CORONAVIRUS PANDEMIC ON THE EXCHANGE RATE OF THE RUSSIAN NATIONAL CURRENCY." Norwegian Journal of development of the International Science, no. 91 (August 26, 2022): 15–19. https://doi.org/10.5281/zenodo.7032100.

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Abstract This article considers the impact of the coronavirus pandemic on the ruble exchange rate. In modern realities, the exchange rate, having a strong relationship with the main macroeconomic indicators, has a tangible impact on the country's economic system.  The ruble exchange rate was analyzed using multiple linear regression (MLR) correlation analysis. The results have shown that the price of oil significantly affects the exchange rate. Moreover, other independent variables such as RTS Index and foreign investment in Federal loan bonds included in the model also have a disting

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3

Larionova, E. I., T. I. Chinaeva, and E. P. Shpakovskaya. "Analysis of the development of Oil and Gas Industry in present conditions." Statistics and Economics 16, no. 6 (2019): 29–36. http://dx.doi.org/10.21686/2500-3925-2019-6-29-36.

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Purpose of the study. This study examines the state of companies of oil sector based on the analysis of dynamics and relationship between basic financial indicators, characterizing the activities of oil companies; it identifies factors affecting the companies’ efficiency, such as return on sales (ROS) and productivity. The work is based on dynamic, structural, correlation analysis of analytical and statistical information on processes occurring in this area of economic activity.Materials and methods. Statistical data and analytical information on oil sector companies serve as the information b

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4

Tenkovskaya, Lyudmila I. "Forecast of stock quotations of Sberbank PJSC using correlation and regression analysis." Tyumen State University Herald. Social, Economic, and Law Research 9, no. 1 (2023): 148–66. http://dx.doi.org/10.21684/2411-197x-2023-9-1-148-166.

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The scientific research, which consists in making a forecast regarding the stock quotes of Sberbank PJSC, is relevant because it reveals the prospects of the Russian financial sector. It allows investors to form a trading strategy for buying ordinary shares of Sberbank PJSC to generate income in the future. The purpose of the scientific article is to build an economic and mathematical model for forecasting quotations of ordinary shares of Sberbank PJSC. To achieve this goal, the theoretical foundations of the formation of monetary policy in Russia, the exchange rate of the Russian ruble, oil p

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5

Alekhin, Boris I. "Oil and the Ruble: Collapse of Cointegration." Financial Journal 13, no. 1 (2021): 58–74. http://dx.doi.org/10.31107/2075-1990-2021-1-58-74.

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Oil still contributes around 30 % to Russia's commodity export earnings, therefore the impact of oil prices on Ruble's exchange rate is of current interest to Russian economists. Instruments of time series analysis were used to test a proposition that the Russian ruble’s exchange rate has become less dependent on Brent crude oil price in recent years. We obtained 1,095 weekly observations for years 2000 to 2020 were obtained from FINAM company website. Our empirical model is a linear regression of the ruble’s exchange rate on Brent crude oil price. The Bai-Perron test has identified three stru

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6

FRUMINA, Svetlana V., and Wissam AL SAADI. "The impact of oil price changes on the RTS index." Finance and Credit 29, no. 6 (2023): 1305–21. http://dx.doi.org/10.24891/fc.29.6.1305.

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Subject. The article explores the relationship between the price of Brent crude oil and the ruble exchange rate. The definition of existing relationships enables to make recommendations on the development of the Russian economy. Objectives. The purpose of the article is to assess the impact of changes in the price of Brent crude oil on the ruble exchange rate and the index of the Moscow Exchange and RTS index, as well as to substantiate the importance of market news monitoring. Methods. The rests on quantitative approaches of parametric testing, including the ADF test, the unit root test, the

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7

ГАЛЬВИК, Н. Е., та Н. И. КРАВЦОВА. "ОСОБЕННОСТИ ВЛИЯНИЯ МАКРОЭКОНОМИЧЕСКИХ ФАКТОРОВ НА ДИНАМИКУ РОССИЙСКОГО ФОНДОВОГО РЫНКА". Экономика и предпринимательство, № 10(171) (7 жовтня 2024): 153–64. http://dx.doi.org/10.34925/eip.2024.171.10.028.

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Статья посвящена исследованию особенностей взаимосвязей динамики российского фондового рынка на основе показателя индекса МосБиржи (ММВБ) и таких макроэкономических показателей, как темп прироста ВВП РФ, размер ключевой ставки ЦБ РФ, цена нефти марки Brent, уровень инфляции, уровень безработицы, валютный курс доллар США/рубль, темп прироста денежной массы М2, цена на золото в долл. США. Взаимосвязь анализируется на протяжении длительного периода с 2002 г. по 2 квартал 2024 г. На основе анализа делаются выводы об особенностях характера взаимосвязей динамики российского фондового рынка и данных

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8

Aslanova, Afaq, and Simuzar Mammadova. "Econometric Analysis of the Effect of Energy Prices on Exchange Rates During War Period." International Journal of Energy Economics and Policy 13, no. 4 (2023): 496–502. http://dx.doi.org/10.32479/ijeep.14065.

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Petroleum and natural gas, which are among the most used energy sources in the world, have a significant impact on financial markets and macroeconomic indicators as they are used as raw materials in many fields. For this reason, Russia, Turkey, Brazil, and India, as energy importers and developing countries, may be affected positively or negatively by changes in energy prices. The main purpose of this research is to investigate the relationship between the exchange rates of Brent oil, crude oil (WTI), natural gas, the US dollar index, and the Russian ruble. In the study, weekly data between Fe

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9

Balaban, Suzana, Vladimir Pavićević, and Milica Simić. "INTERDEPENDENCE OF OIL PRICE VOLATILITY AND RUBLE EXCHANGE RATE DURING THE CRISIS IN UKRAINE." Oditor 10, no. 1 (2024): 19–56. http://dx.doi.org/10.59864/oditor12402b.

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The subject of research in this paper is the impact of the crisis in Ukraine on the volatility of the ruble and oil, as well as the correlation of these values with each other. In order to investigate the impact of the crisis in Ukraine as an external shock on the volatility of the ruble and crude oil, changes in the ratio of their values were analyzed on a daily basis, in the observed period during 2022 and the first four months of 2023. The analysis of time series, and then the comparative analysis of the mentioned data and the use of the GARCH model determined a certain divergence in the ve

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ЯРОМЕНКО, Н. Н., Р. В. БАГДАСАРЯН, Д. А. УЗУНЯН, Т. С. ЦАТРЯН, and В. В. ПОНАРИНА. "ANALYSIS OF THE INFLATION RATE IN THE RUSSIAN FEDERATION BY INDICATORS OF THE CONSUMER PRICE INDEX AND THE RUBLE EXCHANGE RATE." Экономика и предпринимательство, no. 8(169) (August 30, 2024): 191–96. http://dx.doi.org/10.34925/eip.2024.169.8.034.

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Инфляция является одним из наиболее трудно прогнозируемых макроэкономических показателей. На уровень инфляции оказывают влияние как внешние, так и внутренние показатели социально-экономического развития страны. В данной статье проведен корреляционно-регрессионный анализ пяти факторов, наибольшим образом оказывающих влияние на уровень инфляции в Российской Федерации: ВВП; уровень безработицы; объем государственного внутреннего долга; объем международных резервов; курс доллара США. На начальном этапе работы проведен графический анализ уровня инфляции и факторов, затем использованы экономико-мате

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