IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Taylor rules and exchange rate predictability in emerging economies

  • Galimberti, Jaqueson K.
  • Moura, Marcelo L.

This study demonstrates the relationship between exchange rate determination and an endogenous monetary policy represented by Taylor rules. We fill a gap in the literature by focusing on a group of fifteen emerging economies that adopted free-floating exchange rates and inflation targeting beginning in the mid-1990s. Because of the limited span of the time series, which is a common obstacle to studying emerging economies, we employ panel data regressions to produce more efficient estimates. Following the recent literature, we use a robust set of out-of-sample statistics, incorporating bootstrapped and asymptotic distributions for the Diebold-Mariano statistic, the Clark and West statistic and Theil's U ratio. By evaluating different specifications for the Taylor rule exchange rate model based on their out-of-sample performances, we find that a present-value forward-looking specification shows strong evidence of exchange rate predictability.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0261560612001581
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of International Money and Finance.

Volume (Year): 32 (2013)
Issue (Month): C ()
Pages: 1008-1031

as
in new window

Handle: RePEc:eee:jimfin:v:32:y:2013:i:c:p:1008-1031
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/30443

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Kajal Lahiri & Gultekin Isiklar, 2006. "How Far Ahead Can We Forecast? Evidence From Cross-country Surveys," Discussion Papers 06-04, University at Albany, SUNY, Department of Economics.
  2. Jordi Galí & Mark Gertler, 2007. "Macroeconomic modeling for monetary policy evaluation," Economics Working Papers 1039, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2007.
  3. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
  4. Maurice Obstfeld & Kenneth Rogoff, 1994. "Exchange Rate Dynamics Redux," NBER Working Papers 4693, National Bureau of Economic Research, Inc.
  5. Jaqueson K. Galimberti & Marcelo L. Moura, 2014. "Improving the Reliability of Real-time Hodrick-Prescott Filtering Using Survey Forecasts," KOF Working papers 14-360, KOF Swiss Economic Institute, ETH Zurich.
  6. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
  7. Athanasios Orphanides & Simon van Norden, 2001. "The Unreliability of Output Gap Estimates in Real Time," CIRANO Working Papers 2001s-57, CIRANO.
  8. Groen, Jan J J, 2005. "Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-country Panel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 495-516, June.
  9. Marcelo Moura, 2010. "Testing the Taylor Model Predictability for Exchange Rates in Latin America," Open Economies Review, Springer, vol. 21(4), pages 547-564, September.
  10. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  11. Brito, Ricardo D. & Bystedt, Brianne, 2010. "Inflation targeting in emerging economies: Panel evidence," Journal of Development Economics, Elsevier, vol. 91(2), pages 198-210, March.
  12. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
  13. FERREIRA Alex Luiz & LEON-LEDESMA Miguel A., . "Does the Real Interest Parity Hypothesis Hold? Evidence for Developed and Emerging Markets," EcoMod2003 330700053, EcoMod.
  14. Hakan Yilmazkuday, 2008. "Structural Breaks in Monetary Policy Rules: Evidence from Transition Countries," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 44(6), pages 87-97, November.
  15. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
  16. Mark W. Watson, 2007. "How accurate are real-time estimates of output trends and gaps?," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 143-161.
  17. Daron Acemoglu & Kenneth Rogoff & Michael Woodford, 2007. "NBER Macroeconomics Annual 2006, Volume 21," NBER Books, National Bureau of Economic Research, Inc, number acem06-1, October.
  18. Uz, Idil & Ketenci, Natalya, 2008. "Panel analysis of the monetary approach to exchange rates: Evidence from ten new EU members and Turkey," Emerging Markets Review, Elsevier, vol. 9(1), pages 57-69, March.
  19. J.J.J. Groen, 2001. "(EURO) Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-Country Panel," WO Research Memoranda (discontinued) 664, Netherlands Central Bank, Research Department.
  20. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
  21. Nelson C. Mark, 2009. "Changing Monetary Policy Rules, Learning, and Real Exchange Rate Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1047-1070, 09.
  22. Jeremy Berkowitz & Lorenzo Giorgianni, 1996. "Long-horizon exchange rate predictability?," Finance and Economics Discussion Series 96-39, Board of Governors of the Federal Reserve System (U.S.).
  23. Engel, Charles & West, Kenneth D., 2006. "Taylor Rules and the Deutschmark: Dollar Real Exchange Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1175-1194, August.
  24. Moura, Marcelo L. & de Carvalho, Alexandre, 2010. "What can Taylor rules say about monetary policy in Latin America?," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 392-404, March.
  25. Ince, Onur, 2014. "Forecasting exchange rates out-of-sample with panel methods and real-time data," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 1-18.
  26. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  27. Moura, Marcelo L. , & Lima, Adauto R. S. & Mendonça, Rodrigo M., 2008. "Exchange Rate and Fundamentals: The Case of Brazil," Insper Working Papers wpe_114, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
  28. Yin-Wong Cheung & Antonio Garcia Pascual & Menzie David Chinn, 2004. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," IMF Working Papers 04/73, International Monetary Fund.
  29. Prakash Loungani, 2000. "How Accurate Are Private Sector Forecasts: Cross-Country Evidence From Consensus Forecasts of Output Growth," IMF Working Papers 00/77, International Monetary Fund.
  30. Joakim Westerlund & Syed A. Basher, 2007. "Can panel data really improve the predictability of the monetary exchange rate model?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 365-383.
  31. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-18, March.
  32. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 51-74.
  33. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
  34. Gerdesmeier, Dieter & Mongelli, Francesco Paolo & Roffia, Barbara, 2007. "The Eurosystem, the US Federal Reserve and the Bank of Japan: similarities and differences," Working Paper Series 0742, European Central Bank.
  35. Mehrotra, Aaron & Sánchez-Fung, José R., 2011. "Assessing McCallum and Taylor rules in a cross-section of emerging market economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 207-228, April.
  36. Teles, Vladimir Kühl & Zaidan, Marta, 2010. "Taylor principle and inflation stability in emerging market countries," Journal of Development Economics, Elsevier, vol. 91(1), pages 180-183, January.
  37. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
  38. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
  39. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
  40. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  41. Todd E. Clark & Kenneth D. West, 2004. "Using out-of-sample mean squared prediction errors to test the Martingale difference hypothesis," Research Working Paper RWP 04-03, Federal Reserve Bank of Kansas City.
  42. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.
  43. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
  44. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:jimfin:v:32:y:2013:i:c:p:1008-1031. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.