Shumilov, Andrei (2019): Модели зависимости реального курса рубля от цены и стоимости экспорта нефти: сравнительный анализ. Published in: Management Issues No. 4 (2019)
Preview |
PDF
MPRA_paper_96400.pdf Download (897kB) | Preview |
Abstract
The study compares the explanatory power of two alternative long-term determinants of the real effective exchange rate of the Russian ruble, oil prices and oil export revenues, in three variants of the error correction model. The linear model shows that during the period of managed nominal exchange rate from January 1999 to October 2014 explanatory properties of oil prices and oil export revenues are identical. In the model with structural break-in short-run parameters in November 2014 (when the Central Bank of Russia switched to a floating exchange rate and inflation-targeting policy) and in the Markov regime-switching model with two states, the oil price has higher explanatory power. This result could be explained, first, by the fact that since November 2014 oil revenue changes were mainly due to oil price movements rather than fluctuations in the volume of oil exports. In addition, information channel played an important role in the exchange rate dynamics. In this channel, with the non-instant adjustment of oil export price contracts, increase or decrease in the world price of oil forms expectations about the future rise (drop) of contract prices of exported oil, leading to an instant appreciation (depreciation) of the nominal and real exchange rates.
Item Type: | MPRA Paper |
---|---|
Original Title: | Модели зависимости реального курса рубля от цены и стоимости экспорта нефти: сравнительный анализ |
English Title: | Oil prices versus oil export revenues as fundamental factors of the real Russian ruble exchange rate: A comparison of VEC models |
Language: | Russian |
Keywords: | real effective exchange rate; Russia; oil export revenues; error correction model; Markov regime switching; impulse response functions |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies F - International Economics > F3 - International Finance > F31 - Foreign Exchange F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F41 - Open Economy Macroeconomics |
Item ID: | 96400 |
Depositing User: | Andrei Shumilov |
Date Deposited: | 14 Oct 2019 17:13 |
Last Modified: | 14 Oct 2019 17:13 |
References: | Божечкова А.В., Трунин П.В. Анализ факторов динамики реального валютного курса рубля. Москва: Издательский дом “Дело” РАНХиГС, 2016. Дробышевский С., Полбин А. О роли плавающего курса рубля в стабилизации деловой активности при внешнеэкономических шоках // Проблемы теории и практики управления. 2016. № 6. С. 66-71. Полбин А.В. Моделирование реального курса рубля в условиях изменения режима денежно-кредитной политики // Вопросы экономики. 2017а. № 4. С. 61-78. Полбин А.В. Оценка влияния шоков нефтяных цен на российскую экономику в векторной модели коррекции ошибок // Вопросы экономики. 2017б. № 10. С. 27-49. Полбин А.В., Шумилов А.В., Бедин А.Ф., Куликов А.В. Модель реального обменного курса рубля с марковскими переключениями режимов // Прикладная эконометрика. 2019. № 3. Сосунов К.А., Ушаков Н.Ю. Определение реального курса рубля и оценка политики долгосрочного таргетирования реального курса валюты // Журнал Новой экономической ассоциации. 2009. Т. 3-4. С. 97-122. Сосунов К.А., Шумилов А.В. Оценивание равновесного реального обменного курса российского рубля // Экономический журнал ВШЭ. 2005. Т. 9. № 2. С. 216-229. Engle R.F., Granger C.W.J. Co-integration and error correction: representation, estimation, and testing // Econometrica. 1987. Vol. 55. No. 2. pp. 251-276. MacKinnon J., “Critical values for cointegration tests”, Queen’s University, Department of Economics Working Paper 1227, 2010. Mironov V.V., Petronevich A.V. Discovering the signs of Dutch disease in Russia // Resources Policy. 2015. Vol. 46. pp. 97-112. Sosunov K., Zamulin O. “Can oil prices explain the real appreciation of the Russian ruble in 1998-2005?”, CEFIR working paper 83, 2006. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/96400 |