Taylor Rule Deviations And Out-Of-Sample Exchange Rate Predictability

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Onur Ince Ph.D., Assistant Professor (Creator)
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/

Abstract: The Taylor rule has become the dominant model for academic evaluation of out-of-sample exchange rate predictability. Two versions of the Taylor rule model are the Taylor rule fundamentals model, where the variables that enter the Taylor rule are used to forecast exchange rate changes, and the Taylor rule differentials model, where a Taylor rule with postulated coefficients is used in the forecasting regression. We use data from 1973 to 2014 to evaluate short-run out-of- sample predictability for eight exchange rates vis-à-vis the U.S. dollar, and find strong evidence in favor of the Taylor rule fundamentals model alternative against the random walk null. The evidence of predictability is weaker with the Taylor rule differentials model, and still weaker with the traditional interest rate differential, purchasing power parity, and monetary models. The evidence of predictability for the fundamentals model is not related to deviations from the original Taylor rule for the U.S., but is related to deviations from a modified Taylor rule for the U.S. with a higher coefficient on the output gap. The evidence of predictability is also unrelated to deviations from Taylor rules for the foreign countries and adherence to the Taylor principle for the U.S.

Additional Information

Ince, O., et al. (2016). "Taylor rule deviations and out-of-sample exchange rate predictability." Journal of International Money and Finance 69: 22-44. https://doi.org/10.1016/j.jimonfin.2016.06.002. Publisher version of record available: https://www.sciencedirect.com/science/article/pii/S0261560616300481
Language: English
Date: 2016
Exchange rates, Out-of-sample exchange rate predictability, Taylor rules

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