This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Forecasting the Real Exchange Rate using a Long Span of Data. A Rematch: Linear vs Nonlinear

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
David Peel
Ivan Paya
E Pavlidis

Additional information is available for the following registered author(s):

Abstract

This paper deals with the nonlinear modeling and forecasting of the dollar-sterling real exchange rate using a long span of data. Our contribution is threefold. First, we provide significant evidence of smooth transition dynamics in the series by employing a battery of recently developed in-sample statistical tests. Second, we investigate the small sample properties of several evaluation measures for comparing recursive forecasts when one of the competing models is nonlinear. Finally, we run a forecasting race for the post-Bretton Woods era between the nonlinear real exchange rate model, the random walk, and the linear autoregressive model. The winner turns out to be the nonlinear model, against the odds.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.lums.lancs.ac.uk/publications/viewpdf/006075/
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Lancaster University Management School, Economics Department in its series Working Papers with number 006075.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2009
Date of revision:
Handle: RePEc:lan:wpaper:006075

Contact details of provider:
Postal: LANCASTER LA1 4YX
Phone: +44 (1524) 594226
Fax: +44 (1524) 594244
Email:
Web page: http://www.lums.lancs.ac.uk/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Richard Evans).

Related research
Keywords: Real Exchange Rate; Nonlinearity; Robust Linearity Tests; Forecast Evaluation; Bootstrapping.;

Other versions of this item:

This paper has been announced in the following NEP Reports: 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.:
  1. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-41, March-Apr. [Downloadable!]
    Other versions:
  2. Clements, Michael P. & Smith, Jeremy, 1997. "The performance of alternative forecasting methods for SETAR models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 463-475, December. [Downloadable!] (restricted)
  3. Sarantis, Nicholas, 1999. "Modeling non-linearities in real effective exchange rates," Journal of International Money and Finance, Elsevier, vol. 18(1), pages 27-45, January. [Downloadable!] (restricted)
  4. Boero, Gianna & Marrocu, Emanuela, 2004. "The performance of SETAR models: a regime conditional evaluation of point, interval and density forecasts," International Journal of Forecasting, Elsevier, vol. 20(2), pages 305-320. [Downloadable!] (restricted)
    Other versions:
  5. Ivan Paya & Ioannis A. Venetis & David A. Peel, 2003. "Further Evidence on PPP Adjustment Speeds: the Case of Effective Real Exchange Rates and the EMS," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 421-437, 09. [Downloadable!] (restricted)
  6. Jose Manuel Campa & Linda S. Goldberg, 2002. "Exchange Rate Pass-Through into Import Prices: A Macro or Micro Phenomenon?," NBER Working Papers 8934, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  7. West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, Elsevier. [Downloadable!] (restricted)
  8. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June. [Downloadable!] (restricted)
  9. Timothy J. Vogelsang, 1998. "Trend Function Hypothesis Testing in the Presence of Serial Correlation," Econometrica, Econometric Society, vol. 66(1), pages 123-148, January.
  10. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, Elsevier. [Downloadable!] (restricted)
    Other versions:
  11. Berka, Martin, 2005. "General Equilibrium Model of Arbitrage Trade and Real Exchange Rate Persistence," MPRA Paper 234, University Library of Munich, Germany, revised 06 May 2008. [Downloadable!]
  12. Siddique, Akhtar & Sweeney, Richard J., 1998. "Forecasting real exchange rates1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 63-70, February. [Downloadable!] (restricted)
  13. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? Cannot find something on IDEAS? Encourage the publisher to index it! Instructions.

This page was last updated on 2009-11-23.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.