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Drivers of Exchange Rate Dynamics in Selected CIS Countries: Evidence from a Factor-Augmented Vector Autoregressive (FAVAR) Analysis

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  • Dreger, Christian
  • Fidrmuc, Jarko

Abstract

We investigate the likely sources of exchange rate dynamics in selected member countries of the Commonwealth of Independent States (CIS; Russia, Kazakhstan, Ukraine, Kyrgyzstan, Azerbaijan, and Moldova) over the past decade (1999-2010). Evidence is based on country VARs augmented by a regional common-factor structure (FAVAR model). The models include nominal exchange rates, the common factor of exchange rates in the CIS countries, and international drivers such as global trade, share prices, and oil price. Global, regional, and idiosyncratic shocks are identified in a standard Cholesky fashion. Their relevance for exchange rates is explored by a decomposition of the variance of forecast errors. The impact of global shocks on the development of exchange rates has increased, particularly if financial shocks are considered. Because of the recent global financial crisis, regional shocks have become more important at the expense of global shocks.

Suggested Citation

  • Dreger, Christian & Fidrmuc, Jarko, 2011. "Drivers of Exchange Rate Dynamics in Selected CIS Countries: Evidence from a Factor-Augmented Vector Autoregressive (FAVAR) Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47(4), pages 49-58.
    • Handle: RePEc:zbw:espost:144566
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    1. Egert, Balazs, 2005. "Equilibrium exchange rates in South Eastern Europe, Russia, Ukraine and Turkey: Healthy or (Dutch) diseased?," Economic Systems, Elsevier, vol. 29(2), pages 205-241, June.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Balazs Egert & Carol Leonard, 2008. "Dutch Disease Scare in Kazakhstan: Is it real?," Open Economies Review, Springer, vol. 19(2), pages 147-165, April.
    4. Jan Fidrmuc & Jarko Fidrmuc, 2003. "Disintegration and Trade," Review of International Economics, Wiley Blackwell, vol. 11(5), pages 811-829, November.
    5. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February.
    6. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    7. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, September.
    8. Vladimir Chaplygin & Andrew Hughes Hallett & Christian Richter, 2006. "Monetary integration in the ex‐Soviet Union: A ‘union of four’?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 47-68, March.
    9. Gunther Schnabl, 2004. "International Capital Markets, Macroeconomic Stability, and Exchange Rate Stabilization in the CIS and East Asia," International Finance 0410009, University Library of Munich, Germany, revised 01 Mar 2005.
    10. Andrei Shleifer & Daniel Treisman, 2005. "A Normal Country: Russia After Communism," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 151-174, Winter.
    11. repec:zbw:bofitp:2007_007 is not listed on IDEAS
    12. repec:zbw:bofitp:2007_016 is not listed on IDEAS
    13. Schnabl, Gunther, 2005. "International capital markets and exchange rate stabilization in the CIS," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 425-440, September.
    14. Kutan, Ali M. & Wyzan, Michael L., 2005. "Explaining the real exchange rate in Kazakhstan, 1996-2003: Is Kazakhstan vulnerable to the Dutch disease?," Economic Systems, Elsevier, vol. 29(2), pages 242-255, June.
    15. Lommatzsch, Kirsten & Tober, Silke, 2004. "What is behind the real appreciation of the accession countries' currencies?: An investigation of the PPI-based real exchange rate," Economic Systems, Elsevier, vol. 28(4), pages 383-403, December.
    16. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    17. Ronald MacDonald & Cezary Wojcik, 2008. "Productivity, Demand, and Regulated Price Effects Revisited: An Analysis of the Real Bilateral Exchange Rates of Four New EU Member States," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(3), pages 48-65, May.
    18. repec:zbw:bofitp:2009_006 is not listed on IDEAS
    19. Ms. Katerina Kalcheva & Nienke Oomes, 2007. "Diagnosing Dutch Disease: Does Russia Have the Symptoms?," IMF Working Papers 2007/102, International Monetary Fund.
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    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark E. Wohar, 2016. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Open Economies Review, Springer, vol. 27(2), pages 229-250, April.
    2. Dreger, Christian & Kholodilin, Konstantin A. & Ulbricht, Dirk & Fidrmuc, Jarko, 2016. "Between the Hammer and the Anvil: The Impact of Economic Sanctions and Oil Prices on Russia’s Ruble," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44(2), pages 295-308.
    3. Viktar Dudzich, 2022. "Real Exchange Rate Misalignments and Currency Crises in the Former Soviet Union Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(3), pages 384-416, September.
    4. repec:zbw:bofitp:2018_017 is not listed on IDEAS
    5. Hyeyoen Kim & Doojin Ryu, 2013. "Forecasting Exchange Rate from Combination Taylor Rule Fundamental," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 81-92, September.
    6. Danglun Luo & Qianwei Ying, 2014. "Political Connections and Bank Lines of Credit," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(03), pages 5-21, May.
    7. Skorepa, Michal & Komarek, Lubos, 2015. "Sources of asymmetric shocks: The exchange rate or other culprits?," Economic Systems, Elsevier, vol. 39(4), pages 654-674.
    8. Oleksandr Faryna & Heli Simola, 2018. "The Transmission of International Shocks to CIS Economies: A Global VAR Approach," Working Papers 04/2018, National Bank of Ukraine.
    9. Faryna, Oleksandr & Simola, Heli, 2018. "The transmission of international shocks to CIS economies: A Global VAR approach," BOFIT Discussion Papers 17/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Li, Kaifeng & Devpura, Neluka & Cheng, Sijia, 2022. "How did the oil price affect Japanese yen and other currencies? Fresh insights from the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    Exchange rates; CIS countries; financial crisis; FAVAR models;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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