Forecasting Performance of Exponential Smooth Transition Autoregressive Exchange Rate Models
AbstractThis paper compares the forecasting performance of the Smooth Transition Autoregressive (STAR) model with the conventional linear Autoregressive (AR) and Simple Random Walk (SRW) models. The empirical analysis was conducted using quarterly data for the yen-based currencies of six major East Asian countries. We discovered strong evidence on nonlinear mean reversion in deviation from purchasing power parity (PPP). The results suggest that both the STAR and AR models outperform or at least match the performance of the SRW model. The results also show that the STAR model outperforms the AR model, its linear competitor in a 14-quarter forecast horizon. This finding is consistent with the emerging line of research that emphasizes the importance of allowing nonlinearity in the adjustment of exchange rate. Copyright Springer Science + Business Media, LLC 2006
Download InfoIf 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.
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.
Bibliographic InfoArticle provided by Springer in its journal Open Economies Review.
Volume (Year): 17 (2006)
Issue (Month): 2 (April)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100323
autoregressive; smooth transition autoregressive; nonlinear time series; forecasting accuracy;
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.:
- Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De.
- Christopher F. Baum & Mustafa Caglayan & John Barkoulas, 1998.
"Nonlinear Adjustment to Purchasing Power Parity in the post-Bretton Woods Era,"
Boston College Working Papers in Economics
404., Boston College Department of Economics, revised 16 Nov 1999.
- Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 2001. "Nonlinear adjustment to purchasing power parity in the post-Bretton Woods era," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 379-399, June.
- Sarno, Lucio, 2000. "Real exchange rate behavior in the Middle East: a re-examination," Economics Letters, Elsevier, vol. 66(2), pages 127-136, February.
- Richard Meese & Kenneth Rogoff & Jacob Frenkel, .
"The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?,"
32044, Harvard University OpenScholar.
- Richard Meese & Kenneth Rogoff, 1983. "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 67-112 National Bureau of Economic Research, Inc.
- Richard Meese & Kenneth Rogoff, 1982. "The out-of-sample failure of empirical exchange rate models: sampling error or misspecification?," International Finance Discussion Papers 204, Board of Governors of the Federal Reserve System (U.S.).
- Richard A. Meese & Andrew K. Rose, 1989.
"An empirical assessment of non-linearities in models of exchange rate determination,"
International Finance Discussion Papers
367, Board of Governors of the Federal Reserve System (U.S.).
- Meese, Richard A & Rose, Andrew K, 1991. "An Empirical Assessment of Non-linearities in Models of Exchange Rate Determination," Review of Economic Studies, Wiley Blackwell, vol. 58(3), pages 603-19, May.
- Francis X. Diebold & James M. Nason, 1989.
"Nonparametric exchange rate prediction?,"
Finance and Economics Discussion Series
81, Board of Governors of the Federal Reserve System (U.S.).
- Robert J. Shiller & Pierre Perron, 1985.
"Testing the Random Walk Hypothesis: Power versus Frequency of Observation,"
NBER Technical Working Papers
0045, National Bureau of Economic Research, Inc.
- Shiller, Robert J. & Perron, Pierre, 1985. "Testing the random walk hypothesis : Power versus frequency of observation," Economics Letters, Elsevier, vol. 18(4), pages 381-386.
- Pierre Perron & Robert J. Shiller, 1984. "Testing the Random Walk Hypothesis: Power Versus Frequency of Observation," Cowles Foundation Discussion Papers 732, Cowles Foundation for Research in Economics, Yale University.
- Michael, Panos & Nobay, A Robert & Peel, David A, 1997.
"Transactions Costs and Nonlinear Adjustment in Real Exchange Rates: An Empirical Investigation,"
Journal of Political Economy,
University of Chicago Press, vol. 105(4), pages 862-79, August.
- Tom Doan, . "RATS programs to replicate Michael-Nobay-Peel ESTAR models," Statistical Software Components RTZ00113, Boston College Department of Economics.
- Taylor, Mark P. & Peel, David A., 2000. "Nonlinear adjustment, long-run equilibrium and exchange rate fundamentals," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 33-53, February.
- Sarno, Lucio & Taylor, Mark P. & Chowdhury, Ibrahim, 2004.
"Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study,"
Journal of International Money and Finance,
Elsevier, vol. 23(1), pages 1-25, February.
- Chowdhury, Ibrahim & Sarno, Lucio & Taylor, Mark P, 2002. "Non-Linear Dynamics in Deviations from the Law of One Price: A Broad-Based Empirical Study," CEPR Discussion Papers 3377, C.E.P.R. Discussion Papers.
- James G. MacKinnon, 1995.
"Numerical Distribution Functions for Unit Root and Cointegration Tests,"
918, Queen's University, Department of Economics.
- MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec..
- repec:dgr:uvatin:2001031 is not listed on IDEAS
- Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
- Winston Lin & Yueh Chen, 1998. "Forecasting foreign exchange rates with an intrinsically nonlinear dynamic speed of adjustment model," Applied Economics, Taylor & Francis Journals, vol. 30(3), pages 295-312.
- Michael B. Devereux, 1997. "Real Exchange Rates and Macroeconomics: Evidence and Theory," Canadian Journal of Economics, Canadian Economics Association, vol. 30(4), pages 773-808, November.
- Kilian, Lutz & Taylor, Mark P, 2001.
"Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?,"
CEPR Discussion Papers
3024, C.E.P.R. Discussion Papers.
- Kilian, Lutz & Taylor, Mark P., 2003. "Why is it so difficult to beat the random walk forecast of exchange rates?," Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
- Kilian, Lutz & Taylor, Mark P., 2001. "Why is it so difficult to beat the random walk forecast of exchange rates?," Working Paper Series 0088, European Central Bank.
- Lutz Kilian & Mark P. Taylor, 2001. "Why is it so difficult to beat the Random Walk Forecast of Exchange Rates?," Tinbergen Institute Discussion Papers 01-031/4, Tinbergen Institute.
- Lutz Kilian & Mark P. Taylor, 2001. "Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?," Working Papers 464, Research Seminar in International Economics, University of Michigan.
- Bruce Mizrach, 1996. "Forecast Comparison in L2," Departmental Working Papers 199524, Rutgers University, Department of Economics.
- Chan, Tze-Haw & Lye, Chun Teck & Hooy, Chee-Wooi, 2010. "Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?," MPRA Paper 26326, University Library of Munich, Germany.
- Liew, Venus Khim-Sen & Baharumshah, Ahmad Zubaidi & Habibullah, Muzafar Shah & Midi, Habshah, 2008. "Monetary exchange rate model: supportive evidence from nonlinear testing procedures," MPRA Paper 7293, University Library of Munich, Germany.
- Liew Khim Sen & Ahmad Zubaidi Baharumshah & Choo Wei Chong & Habshah Midi, 2003. "A Non-parametric Bootstrap Simulation Study in ESTAR (1) Model," GE, Growth, Math methods 0307005, EconWPA.
- Venus Khim-Sen Liew & Zhuo Qiao & Wing-keung Wong, 2010.
"Linearity and stationarity of G7 government bond returns,"
AccessEcon, vol. 30(4), pages 2642-2655.
- Liew, Venus Khim-Sen & Qiao, Zhuo & Wong, Wing-Keung, 2008. "Linearity and stationarity of G7 government bond returns," MPRA Paper 24836, University Library of Munich, Germany, revised 08 Sep 2010.
- Pede, Valerien O. & Florax, Raymond J.G.M. & Holt, Matthew T., 2008. "Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6518, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.