Why is it so difficult to beat the random walk forecast of exchange rates?
Lutz Kilian and
Mark Taylor
No 88, Working Paper Series from European Central Bank
Abstract:
We propose a nonlinear econometric model that can explain both the observed volatility and the persistence of real and nominal exchange rates. The model implies that near equilibrium, the nominal exchange rate will be well approximated by a random walk process. Large departures from fundamentals, in contrast, imply mean-reverting behavior toward fundamentals. Moreover, the predictability of the nominal exchange rate relative to the random walk benchmark tends to improve at longer horizons. We test the implications of the model and find strong evidence of exchange rate predictability at horizons of two to three years, but not at shorter horizons JEL Classification: F31, F47, C53
Keywords: economic models of exchange rate determination; long-horizon regression tests; purchasing power parity; random walk; real exchange rate (search for similar items in EconPapers)
Date: 2001-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (68)
Downloads: (external link)
https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp088.pdf (application/pdf)
Related works:
Journal Article: Why is it so difficult to beat the random walk forecast of exchange rates? (2003) 
Working Paper: Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates? (2001) 
Working Paper: Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates? (2001) 
Working Paper: Why is it so difficult to beat the Random Walk Forecast of Exchange Rates? (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecb:ecbwps:200188
Access Statistics for this paper
More papers in Working Paper Series from European Central Bank 60640 Frankfurt am Main, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Official Publications ().