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Fundamentals and Exchange Rate Prediction Revisited
Author(s) -
WANG YICHIUAN,
WU JYHLIN
Publication year - 2015
Publication title -
journal of money, credit and banking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.763
H-Index - 108
eISSN - 1538-4616
pISSN - 0022-2879
DOI - 10.1111/jmcb.12287
Subject(s) - purchasing power parity , exchange rate , econometrics , random walk , component (thermodynamics) , statistics , computer science , economics , mathematics , thermodynamics , macroeconomics , physics
This paper measures latent fundamental exchange rates with independent component‐based rates constructed from a cross‐section of exchange rates and then uses their deviations from exchange rates to forecast. Empirical results indicate that the independent component‐based model and its Taylor rule and purchasing power parity augmented models are superior to the random walk in predicting exchange rates. These results are robust to several scenarios and are likely to be observed if the U.S. sources and the recursive scheme are applied. Our results reveal that information regarding the third moment of exchange rate changes is helpful to explain exchange rate movements.