Polbin, Andrey and Shumilov, Andrei and Bedin, Andrey and Kulikov, Alexander (2019): Модель реального обменного курса рубля с марковскими переключениями режимов.
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Abstract
In this paper we analyze 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. We find 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. We also find 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.
Item Type: | MPRA Paper |
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Original Title: | Модель реального обменного курса рубля с марковскими переключениями режимов |
English Title: | Modeling real exchange rate of the Russian ruble using Markov regime-switching approach |
Language: | Russian |
Keywords: | real effective exchange rate; Russia; oil prices; Markov regime switching model; error correction model |
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 > E52 - Monetary Policy 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: | 93310 |
Depositing User: | Andrei Shumilov |
Date Deposited: | 15 Apr 2019 08:53 |
Last Modified: | 27 Sep 2019 03:47 |
References: | Божечкова А., Трунин П. (2015). Оценка фундаментально обоснованного реального курса рубля. Экономическое развитие России, 22 (2), 16-19. Гурвич Е., Соколов В., Улюкаев А. (2008). Оценка вклада эффекта Балассы–Самуэльсона в динамику реального обменного курса рубля. Вопросы экономики, 7, 12-30. Дробышевский С., Полбин А. (2016). О роли плавающего курса рубля в стабилизации деловой активности при внешнеэкономических шоках. Проблемы теории и практики управления, 6, 66–71. Пестова А.А. (2017). Режимы денежно-кредитной политики Банка России: рекомендации для количественных исследований. Вопросы экономики, 4, 38-60. Полбин А.В. (2017). Моделирование реального курса рубля в условиях изменения режима денежно-кредитной политики. Вопросы экономики, 4. 61-78. Скроботов А.А., Фокин Н.Д. (2018). Тестирование асимметричной сходимости реального обменного курса к равновесному во время режима управляемого курса рубля. Экономическая политика, 13 (3), 132-147. Скрыпник Д.В. (2016). Макроэкономическая модель российской экономики. Экономика и математические методы, 52 (3), 92-113. Сосунов К.А., Ушаков Н.Ю. (2009). Определение реального курса рубля и оценка политики долгосрочного таргетирования реального курса валюты. Журнал Новой экономической ассоциации, 3-4, 97-122. Сосунов К.А., Шумилов А.В. (2005). Оценивание равновесного реального обменного курса российского рубля. Экономический журнал ВШЭ, 9 (2), 216-229. Трунин П., Князев Д., Кудюкина Е. (2010). Анализ факторов динамики обменного курса рубля. Научные труды Института Гайдара, 144Р. Balassa B. (1964). The purchasing-power parity doctrine: A reappraisal. Journal of Political Economy, 72 (6), 584-596. Balcilar M., Hammoudeh S., Asaba N.F. (2015). A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates. International Review of Economics and Finance, 40, 72-89. Basher S.A., Haug A.A., Sadorsky P. (2016). The impact of oil shocks on exchange rates: A Markov-switching approach. Energy Economics, 54, 11-23. Baum L.E., Petrie T. (1966). Statistical inference for probabilistic functions of finite state Markov chains. Annals of Mathematical Statistics, 37, 1554-1563. Baum L.E., Petrie T., Soules G., Weiss N. (1970) A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Annals of Mathematical Statistics, 41, 164-171. Bleaney M., Tian M. (2014). Net foreign assets and real exchange rates revisited. Oxford Economic Papers, 66 (4), 1145-1158. Diebold F.X., Lee J.H., Weinbach G.C. (1994). Regime switching with time-varying transition probabilities., Ch. 10 in Hargreaves C. (ed.) Nonstationary time series analysis and cointegration, 283-302. Oxford University Press, Oxford. Dueker M. (1997). Markov switching in GARCH processes and mean-reverting stock-market volatility. Journal of Business and Economic Statistics, 15 (1), 26-34. Edwards S. (1988). Real and monetary determinants of real exchange rate behavior: Theory and evidence from developing countries. Journal of Development Economics, 29 (3), 311-341. Engel C. (1994). Can the Markov switching model forecast exchange rates? Journal of International Economics, 36 (1-2), 151-165. Engle R.F., Granger C.W.J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55 (2), 251-276. Engel C., Hakkio C.S. (1996). The distribution of exchange rates in the EMS. International Journal of Finance and Economics, 1 (1), 55-67. Engel C., Hamilton J.D. (1990). Long swings in the dollar: Are they in the data and do markets know it? American Economic Review, 80 (4), 689-713. Filardo A.J. (1994). Business cycle phases and their transitional dynamics. Journal of Business and Economic Statistics, 12, 299-308. Froot K.A., Rogoff K. (1991). The EMS, the EMU, and the transition to a common currency. NBER Macroeconomics Annual 1991, 6, 269-328. Garcia R., Perron P. (1996). An analysis of the real interest rate under regime shifts. The Review of Economics and Statistics, 78 (1), 111–125. Hamilton J.D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57 (2), 357-384. Hamilton J.D., Lin G. (1996). Stock market volatility and the business cycle. Journal of Applied Econometrics, 11 (5), 573-593. Kim C.J., Nelson C.R. (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, 80 (2), 188-201. Krolzig H.M. (1997). Markov-switching vector autoregressions: Modeling, statistical inference and application to business cycle analysis. Springer, Berlin. Krolzig, H.M. (1999). Statistical analysis of cointegrated VAR processes with Markovian regime shifts. University of Oxford, Oxford. Krolzig H.M., Toro J. (2005). Classical and modern business cycle measurement: The European case. Spanish Economic Review, 7 (1), 1-21. MacKinnon J. (2010). Critical values for cointegration tests. Queen’s University, Department of Economics Working Paper, 1227. Martinez Peria M.S. (2002). A regime switching approach to studying speculative attacks: A focus on EMS crises. Empirical Economics, 27 (2), 299-334. Samuelson P.A. (1964). Theoretical notes on trade problems. Review of Economics and Statistics, 46 (2), 145-154. Zhu C., Byrd R.H., Lu P., Nocedal J. (1997). Algorithm 778: L-BFGS-B: Fortran sub-routines for large-scale bound-constrained optimization. ACM Transactions on Mathematical Software, 23 (4), 550-560. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/93310 |