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Exchange Rate Predictability

Barbara Rossi ()

No 690, Working Papers from Barcelona Graduate School of Economics

Abstract: The main goal of this article is to provide an answer to the question: "Does anything forecast exchange rates, and if so, which variables?" It is well known that exchange rate fluctuations are very difficult to predict using economic models, and that a random walk forecasts exchange rates better than any economic model (the Meese and Rogoff puzzle). However, the recent literature has identified a series of fundamentals/methodologies that claim to have resolved the puzzle. This article provides a critical review of the recent literature on exchange rate forecasting and illustrates the new methodologies and fundamentals that have been recently proposed in an up- to-date, thorough empirical analysis. Overall, our analysis of the literature and the data suggests that the answer to the question: "Are exchange rates predictable?" is, "It depends" -on the choice of predictor, forecast horizon, sample period, model, and forecast evaluation method. Predictability is most apparent when one or more of the following hold: the predictors are Taylor rule or net foreign assets, the model is linear, and a small number of parameters are estimated. The toughest benchmark is the random walk without drift.

Keywords: exchange rates; forecasting; instability; forecast evaluation (search for similar items in EconPapers)
JEL-codes: F3 C5 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba, nep-for, nep-mon and nep-opm
Date: 2013-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (156) Track citations by RSS feed

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