Real-Time Out-of-Sample Exchange Rate Predictability
AbstractThis paper revisits the long-standing Meese and Rogoff puzzle by examining the importance of real-time data for exchange rate forecasting. Most of the existing literature on exchange rate predictability uses recent historical data, which are not available to the public at the time the forecasts are made. This paper evaluates short- and long-horizon out-of-sample exchange rate predictability using Purchasing Power Parity (PPP) and Taylor rule fundamentals for 16 OECD currencies during the post-Bretton Woods era. Comparing the results with real-time and revised data, the evidence of short-run exchange rate predictability with Taylor rule models is stronger with real-time data. The models with Taylor rule fundamentals outperform the naïve no-change model at the 1-quarter horizon for 8 out of 16 currencies vis-à-vis the U.S. dollar with real-time data and for 6 out of 16 currencies with revised data, with the strongest evidence coming from specifications that incorporate heterogeneous coefficients. The evidence of short-run predictability is much stronger with Taylor rule models than with conventional purchasing power parity model regardless of which type of data is used. The out-of-sample performance of both PPP and Taylor rule fundamentals improves at longer horizons, with PPP model performing best in the long run. At the 16-quarter horizon, the models with Taylor rule fundamentals outperform the random walk for 10 out of 16 currencies vis-à-vis the U.S. dollar with either type of data, while the PPP model outperforms the naïve no-change model for 13 out of 16 currencies with real-time data and for 11 out of 16 currencies with revised data. Key Words:
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Bibliographic InfoPaper provided by Department of Economics, Appalachian State University in its series Working Papers with number 13-03.
Date of creation: 2013
Date of revision:
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Find related papers by JEL classification:
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
- F3 - International Economics - - International Finance
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-02-16 (All new papers)
- NEP-FOR-2013-02-16 (Forecasting)
- NEP-OPM-2013-02-16 (Open Economy Macroeconomic)
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.:
- Corradi, Valentina & Fernandez, Andres & Swanson, Norman R., 2009.
"Information in the Revision Process of Real-Time Datasets,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 27(4), pages 455-467.
- Norman R. Swanson & Valentina Corradi & Andres Fernandez, 2011. "Information in the Revision Process of Real-Time Datasets," Departmental Working Papers 201107, Rutgers University, Department of Economics.
- Valentina Corradi & Andres Fernandez & Norman Swanson, 2008. "Information in the revision process of real-time datasets," Working Papers 08-27, Federal Reserve Bank of Philadelphia.
- Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
- Jian Wang & Jason J. Wu, 2008.
"The Taylor rule and forecast intervals for exchange rates,"
Globalization and Monetary Policy Institute Working Paper
22, Federal Reserve Bank of Dallas.
- Jian Wang & Jason J. Wu, 2012. "The Taylor Rule and Forecast Intervals for Exchange Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 103-144, 02.
- Jian Wang & Jason J. Wu, 2009. "The Taylor rule and forecast intervals for exchange rates," International Finance Discussion Papers 963, Board of Governors of the Federal Reserve System (U.S.).
- Scholl, Almuth & Uhlig, Harald, 2008.
"New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates,"
Journal of International Economics,
Elsevier, vol. 76(1), pages 1-13, September.
- Almuth Scholl & Harald Uhlig, 2005. "New Evidence on the Puzzles. Results from Agnostic Identification on Monetary Policy and Exchange Rates," SFB 649 Discussion Papers SFB649DP2005-037, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Philippe Bacchetta & Eric van Wincoop, 2010. "Infrequent Portfolio Decisions: A Solution to the Forward Discount Puzzle," American Economic Review, American Economic Association, vol. 100(3), pages 870-904, June.
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