IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0373.html
   My bibliography  Save this article

Modeling real exchange rate of the Russian ruble using Markov regime switching approach

Author

Listed:
  • Polbin, Andrey

    (RANEPA, Gaidar Institute, Moscow, Russian Federation)

  • Shumilov, Andrei

    (RANEPA, Moscow, Russian Federation)

  • Bedin, Andrei

    (RANEPA, MIPT, Moscow, Russian Federation)

  • Kulikov, Alexander

    (RANEPA, MIPT, Moscow, Russian Federation)

Abstract

The paper analyzes the relationship between the real Russian ruble exchange rate and real oil prices using the error correction model with Markov regime switching, which allows for changes in exchange rate policy. It is found that during the period 1999–2018 real exchange rate dynamics was characterized by two clearly distinguishable regimes, one with fast and the other with slow adjustment to long-term equilibrium in response to oil price shocks. Further model testing shows that long-term relationship between real exchange rate and oil price is invariant to regime change. It is also found that, despite adoption of a floating exchange rate policy in 2014, inflexible real exchange rate regime has been periodically identified in recent years. This could be due to the new budget rule, according to which Russian Ministry of Finance in February 2017 started purchasing foreign currencies in amount of excess oil and gas earnings of the federal budget.

Suggested Citation

  • 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.
  • Handle: RePEc:ris:apltrx:0373
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2019_55_032-050.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    3. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2016. "The impact of oil shocks on exchange rates: A Markov-switching approach," Energy Economics, Elsevier, vol. 54(C), pages 11-23.
    4. Dueker, Michael J, 1997. "Markov Switching in GARCH Processes and Mean-Reverting Stock-Market Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 26-34, January.
    5. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Pavel Trunin & Dmitriy Kniazev & Ekaterina Kuduykina, 2010. "Perspective issues in the CBR`s exchange rate policy," Research Paper Series, Gaidar Institute for Economic Policy, issue 144P.
    8. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    9. Krolzig, H., 1996. "Statistical Analysis of Cointegrated VAR Processes with Markovian Regime Shifts," SFB 373 Discussion Papers 1996,25, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    10. Skrypnik, Dmitriy, 2016. "A Macroeconomic Model of the Russian Economy," MPRA Paper 93506, University Library of Munich, Germany.
    11. Skrobotov, Anton (Скроботов, Антон) & Fokin, Nikita (Фокин, Никита), 2018. "Testing the Asymmetric Convergence of the Real Exchange Rate to Equilibrium During the Managed Ruble Exchange Rate Regime [Тестирование Ассиметричной Сходимости Реального Обменного Курса К Равновес," Working Papers 021808, Russian Presidential Academy of National Economy and Public Administration.
    12. 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.
    13. Engel, Charles & Hakkio, Craig S, 1996. "The Distribution of Exchange Rates in the EMS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 1(1), pages 55-67, January.
    14. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    15. Sosunov, K. & Ushakov, N., 2009. "Determination of the Real Exchange Rate of the Ruble and Assessment of Long-Run Policy of Real Exchange Rate Targeting," Journal of the New Economic Association, New Economic Association, issue 3-4, pages 97-121.
    16. Kenneth A. Froot & Kenneth Rogoff, 1991. "The EMS, the EMU, and the Transition to a Common Currency," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 269-328, National Bureau of Economic Research, Inc.
    17. A. Pestova., 2017. "Monetary policy regimes in Russia: Guidelines for further quantitative studies," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 4.
    18. Michael Bleaney & Mo Tian, 2014. "Net foreign assets and real exchange rates revisited," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 1145-1158.
    19. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    20. Alfred Haug & Syed Basher & Perry Sadorsky, 2016. "The impact of oil price shocks on exchange rates: A non-linear smooth-transition approach," EcoMod2016 9226, EcoMod.
    21. James G. MacKinnon, 2010. "Critical Values For Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    22. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    23. Alexandra Bozhechkova & Pavel Trunin, 2015. "An Estimation Of Fundamentally Substantiated Real Exchange Rate Of The Ruble," Russian Economic Development, Gaidar Institute for Economic Policy, issue 2, pages 65-67, February.
    24. Bela Balassa, 1964. "The Purchasing-Power Parity Doctrine: A Reappraisal," Journal of Political Economy, University of Chicago Press, vol. 72(6), pages 584-584.
    25. A. Polbin., 2017. "Modeling the real ruble exchange rate under monetary policy regime change," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 4.
    26. Edwards, Sebastian, 1988. "Real and monetary determinants of real exchange rate behavior: Theory and evidence from developing countries," Journal of Development Economics, Elsevier, vol. 29(3), pages 311-341, November.
    27. Skrobotov, Anton A. (Скроботов, Антон) & Fokin, Nikita D. (Фокин, Никита), 2018. "Testing Asymmetric Convergence of the Real Exchange Rate to Equilibrium During Ruble Exchange Rate Targeting [Тестирование Асимметричной Сходимости Реального Обменного Курса К Равновесному Во Время," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 132-147, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrey Feliksovich Bedin & Alexander Vladimirovich Kulikov & Andrey Vladimirovich Polbin, 2021. "A Markov Switching VECM Model for Russian Real GDP, Real Exchange Rate and Oil Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 402-412.
    2. Andrey Bedin & Alexander Kulikov & Andrey Polbin, 2023. "Copula-Based Modelling of Relationship Between Dollar/Rouble Exchange Rate and Oil Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 87-109, September.
    3. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.
    4. D. A. Menshikh, 2021. "Estimation of fiscal rule impact on Russian ruble equilibrium exchange rate," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 2.
    5. Bozhechkova, Alexandra (Божечкова, Александра) & Ivanov, Evgeny (Иванов, Евгений) & Orekhov, Mikhail (Орехов, Михаил) & Trunin, Pavel (Трунин, Павел) & Chembulatova, Maria (Чембулатова, Мария) & Yakov, 2021. "Analysis of the Behavior of Banks and Companies in the Conditions of Exchange Volatility in Russia [Анализ Поведения Банков И Компаний В Условиях Курсовой Волатильности В России]," Working Papers w20220176, Russian Presidential Academy of National Economy and Public Administration.
    6. A. V. Bozhechkova & S. G. Sinelnikov-Murylev & P. V. Trunin, 2020. "Factors of the Russian ruble exchange rate dynamics in the 2000s and 2010s," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 8.
    7. Aleksandr Eliseev & Anna Novak & Andrey Shulgin, 2023. "Long-Term Exchange Rate Pass-Through to Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(2), pages 21-51, June.
    8. 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.
    9. Polbin, Andrey & Shumilov, Andrei, 2020. "Модель Зависимости Обменного Курса Рубля От Цен На Нефть С Марковскими Переключениями Режимов [Modeling the relationship between the Russian ruble exchange rate and oil prices: A Markov regime swit," MPRA Paper 102450, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrey & Kulikov, Alexander, 2019. "Модель Реального Обменного Курса Рубля С Марковскими Переключениями Режимов [Modeling real exchange rate of the Russian ruble using Markov regime-switching approach]," MPRA Paper 93310, University Library of Munich, Germany.
    2. Andrey Feliksovich Bedin & Alexander Vladimirovich Kulikov & Andrey Vladimirovich Polbin, 2021. "A Markov Switching VECM Model for Russian Real GDP, Real Exchange Rate and Oil Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 402-412.
    3. Polbin, Andrey, 2017. "Моделирование Реального Курса Рубля В Условиях Изменения Режима Денежно-Кредитной Политики [Modeling the real ruble exchange rate under monetary policy regime change]," MPRA Paper 78139, University Library of Munich, Germany.
    4. A. Polbin, 2017. "Modeling the real ruble exchange rate under monetary policyregime change," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    5. Chung-Ming Kuan, 2013. "Markov switching model (in Russian)," Quantile, Quantile, issue 11, pages 13-40, December.
    6. A. Polbin., 2017. "Modeling the real ruble exchange rate under monetary policy regime change," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 4.
    7. Skrobotov, Anton (Скроботов, Антон) & Fokin, Nikita (Фокин, Никита), 2018. "Testing the Asymmetric Convergence of the Real Exchange Rate to Equilibrium During the Managed Ruble Exchange Rate Regime [Тестирование Ассиметричной Сходимости Реального Обменного Курса К Равновес," Working Papers 021808, Russian Presidential Academy of National Economy and Public Administration.
    8. Andrew Ang & Allan Timmermann, 2012. "Regime Changes and Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 313-337, October.
    9. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
    10. Matteo Manera & Alessandro Cologni, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis for the G-7 Countries," Working Papers 2006.29, Fondazione Eni Enrico Mattei.
    11. Q.Farooq Akram & Øyvind Eitrheim & Lucio Sarno, 2006. "Non-linear Dynamics in Output, Real Exchange Rates and Real Money Balances: Norway, 1830-2003," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 333-377, Emerald Group Publishing Limited.
    12. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    13. Lucio Sarno & Giorgio Valente & Mark E. Wohar, 2004. "Monetary Fundamentals and Exchange Rate Dynamics under Different Nominal Regimes," Economic Inquiry, Western Economic Association International, vol. 42(2), pages 179-193, April.
    14. Clarida, Richard H. & Sarno, Lucio & Taylor, Mark P. & Valente, Giorgio, 2003. "The out-of-sample success of term structure models as exchange rate predictors: a step beyond," Journal of International Economics, Elsevier, vol. 60(1), pages 61-83, May.
    15. Nurgun Topalli & İbrahim Dogan, 2016. "The structure and sustainability of current account deficit: Turkish evidence from regime switching," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 570-589, June.
    16. Lv, Xin & Lien, Donald & Chen, Qian & Yu, Chang, 2018. "Does exchange rate management affect the causality between exchange rates and oil prices? Evidence from oil-exporting countries," Energy Economics, Elsevier, vol. 76(C), pages 325-343.
    17. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    18. Reuben Ellul, "undated". "Timing the Maltese business cycle: A historical perspective," CBM Working Papers WP/01/2021, Central Bank of Malta.
    19. Diebold, Francis X & Rudebusch, Glenn D, 1996. "Measuring Business Cycles: A Modern Perspective," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 67-77, February.
    20. Chien-Chung Nieh & Jeng-Bau Lin & Yu-Shan Wang, 2008. "Regime-switching analysis for the impacts of exchange rate volatility on corporate values: a Taiwanese case," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 491-504.

    More about this item

    Keywords

    real effective exchange rate; Russia; oil prices; Markov regime switching model; error correction model;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.