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Модели Зависимости Реального Курса Рубля От Цены И Стоимости Экспорта Нефти: Сравнительный Анализ
[Oil prices versus oil export revenues as fundamental factors of the real Russian ruble exchange rate: A comparison of VEC models]

Author

Listed:
  • Shumilov, Andrei

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.

Suggested Citation

  • Shumilov, Andrei, 2019. "Модели Зависимости Реального Курса Рубля От Цены И Стоимости Экспорта Нефти: Сравнительный Анализ [Oil prices versus oil export revenues as fundamental factors of the real Russian ruble exchange ra," MPRA Paper 96400, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96400
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    References listed on IDEAS

    as
    1. Сосунов К. А. & Шумилов А. В., 2005. "Оценивание Равновесного Реального Обменного Курса Российского Рубля," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(2), pages 216-229.
    2. Kirill Sosunov & Oleg Zamulin, 2006. "Can Oil Prices Explain the Real Appreciation of the Russian Ruble in 1998-2005?," Working Papers w0083, New Economic School (NES).
    3. A. Polbin., 2017. "Econometric estimation of the impact of oil prices shock on the Russian economy in VECM model," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    4. Mironov, Valeriy V. & Petronevich, Anna V., 2015. "Discovering the signs of Dutch disease in Russia," Resources Policy, Elsevier, vol. 46(P2), pages 97-112.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. repec:zbw:bofitp:2015_003 is not listed on IDEAS
    7. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrei & Kulikov, Alexander, 2019. "Modeling real exchange rate of the Russian ruble using Markov regime switching approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 32-50.
    8. A. Polbin., 2017. "Modeling the real ruble exchange rate under monetary policy regime change," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 4.
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    More about this item

    Keywords

    real effective exchange rate; Russia; oil export revenues; error correction model; Markov regime switching; impulse response functions;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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