Meese-Rogoff redux
micro-based exchange rate forecasting
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Author
Contributions
- Lyons, Richard K. - Contributor
- National Bureau of Economic Research. - Contributor
Publication
2005 - National Bureau of Economic Research, Cambridge, Mass, Massachusetts
Language
English
Word Count
5,250 words, Guess
Page Count
21 pages
Identifiers
- OCLC Control Number57581991
- Open LibraryOL17625751M
Description
"This paper compares the true, ex-ante forecasting performance of a micro-based model against both a standard macro model and a random walk. In contrast to existing literature, which is focused on longer horizon forecasting, we examine forecasting over horizons from one day to one month (the one-month horizon being where micro and macro analysis begin to overlap). Over our 3-year forecasting sample, we find that the micro-based model consistently out-performs both the random walk and the macro model. Micro-based forecasts account for almost 16 per cent of the sample variance in monthly spot rate changes. These results provide a level of empirical validation as yet unattained by other models. Our result that the micro-based model out-performs the macro model does not imply that macro fundamentals will never explain exchange rates. Quite the contrary, our findings are in fact consistent with the view that the principal driver of exchange rates is standard macro fundamentals. In Evans and Lyons (2004b)we report firm evidence that the non-public information that we exploit here for forecasting exchange rates is also useful for forecasting macro fundamentals themselves"--National Bureau of Economic Research web site.
Subjects
Series Statement
- NBER working paper series -- no. 11042.
- Working paper series (National Bureau of Economic Research) -- working paper no. 11042.
Links
Other Editions
- Meese-Rogoff redux: micro-based exchange rate forecasting
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