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Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?

Author

Listed:
  • Nikita D. Fokin

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia
    Gaidar Institute for Economic Policy, Moscow, Russia)

  • Ekaterina V. Malikova

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia)

  • Andrey V. Polbin

    (Financial University under the Government of the Russian Federation, Moscow, Russia
    Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia
    Gaidar Institute for Economic Policy, Moscow, Russia)

Abstract

This paper aims to analyze changes in the long-term and short-term oil price elasticities of the real ruble exchange rate, as well as the speed of convergence of the exchange rate to a long-term equilibrium. The analysis is conducted using an error correction model with time-varying parameters. The results indicate that the short-term oil price elasticity of the exchange rate has consistently increased after the 2008–2009 crisis, reaching its peak in 2015. This peak coincided with the implementation of an inflation targeting regime by the Bank of Russia, as well as economic crises caused by sanctions and a decline in oil prices. During this period, the short-term elasticity exceeded the long-term elasticity, leading to a significant "overshooting" effect in response to oil shocks. Subsequently, the short-term elasticity gradually decreased as the economic situation stabilized, and by 2022–2023, it became insignificant. This was influenced by such factors as the inaction of financial markets and the implementation of capital controls. On the other hand, the long-term oil price elasticity remained relatively stable throughout most of the observation period, although it decreased during crisis periods.

Suggested Citation

  • Nikita D. Fokin & Ekaterina V. Malikova & Andrey V. Polbin, 2024. "Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 20-33, March.
  • Handle: RePEc:arh:jrujec:v:10:y:2024:i:1:p:20-33
    DOI: 10.32609/j.ruje.10.111503
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    as
    1. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    2. Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
    3. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
    4. 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.
    5. Y. Ponomarev & P. Trunin & A. Ulyukayev, 2014. "Exchange Rate Pass-through in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 3.
    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. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    8. 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.
    9. 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.
    10. Cogley, Timothy, 2005. "How fast can the new economy grow? A Bayesian analysis of the evolution of trend growth," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 179-207, June.
    11. Clark, Todd E. & Doh, Taeyoung, 2014. "Evaluating alternative models of trend inflation," International Journal of Forecasting, Elsevier, vol. 30(3), pages 426-448.
    12. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    13. 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.
    14. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, December.
    15. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
    16. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2014. "Time-varying causality between research output and economic growth in US," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 203-216, July.
    17. Lyu, Yongjian & Yi, Heling & Wei, Yu & Yang, Mo, 2021. "Revisiting the role of economic uncertainty in oil price fluctuations: Evidence from a new time-varying oil market model," Economic Modelling, Elsevier, vol. 103(C).
    18. Śmiech, Sławomir & Papież, Monika & Rubaszek, Michał & Snarska, Małgorzata, 2021. "The role of oil price uncertainty shocks on oil-exporting countries," Energy Economics, Elsevier, vol. 93(C).
    19. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    20. Wang, Jianzhou & Niu, Xinsong & Zhang, Lifang & Liu, Zhenkun & Wei, Danxiang, 2022. "The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function," Resources Policy, Elsevier, vol. 77(C).
    21. Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.
    22. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    23. James H. Stock & Mark W. Watson, 2016. "Core Inflation and Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 770-784, October.
    24. Perron, Pierre & Qu, Zhongjun, 2007. "A simple modification to improve the finite sample properties of Ng and Perron's unit root tests," Economics Letters, Elsevier, vol. 94(1), pages 12-19, January.
    25. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    26. 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.
    27. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    28. Salah A. Nusair & Khalid M. Kisswani, 2015. "Asian Real Exchange Rates And Oil Prices: A Cointegration Analysis Under Structural Breaks," Bulletin of Economic Research, Wiley Blackwell, vol. 67(S1), pages 1-25, December.
    29. Y. Ponomarev & P. Trunin & A. Ulyukayev., 2014. "Exchange Rate Pass-through in Russia," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 3.
    30. T. Philipp Dybowski & Max Hanisch & Bernd Kempa, 2018. "The role of the exchange rate in Canadian monetary policy: evidence from a TVP-BVAR model," Empirical Economics, Springer, vol. 55(2), pages 471-494, September.
    31. A. Polbin, 2017. "Modeling the real ruble exchange rate under monetary policyregime change," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    32. James G. MacKinnon, 2010. "Critical Values For Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
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    More about this item

    Keywords

    real ruble exchange rate oil prices error correction model time-varying parameters model capital control sanctions Russian economy.;

    JEL classification:

    • 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

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