scholarly journals Taylor Rule Deviations and Out-of-Sample Exchange Rate Predictability

Author(s):  
Onur Ince ◽  
Tanya Molodtsova ◽  
David H. Papell

2009 ◽  
Vol 77 (2) ◽  
pp. 167-180 ◽  
Author(s):  
Tanya Molodtsova ◽  
David H. Papell


2016 ◽  
Vol 69 ◽  
pp. 22-44 ◽  
Author(s):  
Onur Ince ◽  
Tanya Molodtsova ◽  
David H. Papell


2019 ◽  
Author(s):  
Ilias Filippou ◽  
David Rapach ◽  
Mark Peter Taylor ◽  
Guofu Zhou


2018 ◽  
Vol 6 (3) ◽  
pp. 68
Author(s):  
Hokuto Ishii

This paper investigates the predictability of exchange rate changes by extracting the factors from the three-, four-, and five-factor model of the relative Nelson–Siegel class. Our empirical analysis shows that the relative spread factors are important for predicting future exchange rate changes, and our extended model improves the model fitting statistically. The regression model based on the three-factor relative Nelson–Siegel model is the superior model of the extended models for three-month-ahead out-of-sample predictions, and the prediction accuracy is statistically significant from the perspective of the Clark and West statistic. For 6- and 12-month-ahead predictions, although the five-factor model is superior to the other models, the prediction accuracy is not statistically significant.



2011 ◽  
Vol 30 (5) ◽  
pp. 877-895 ◽  
Author(s):  
Carlos Felipe López-Suárez ◽  
José Antonio Rodríguez-López


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