Article ID Journal Published Year Pages File Type
5100283 Journal of Empirical Finance 2017 29 Pages PDF
Abstract
In this paper, we decompose currency returns into multiplicative sign and absolute return components, which exhibit much greater predictability than raw returns, and use the joint conditional distribution of these components to obtain forecasts of future exchange rate returns. Our results suggest that the decomposition model produces higher forecast and directional accuracy than any of the competing models. We undertake trading exercises using carry trade returns and show that the forecasting gains translate into economically and statistically significant (risk-adjusted) profitability when trading individual currencies or forming currency portfolios based on the predicted returns from the decomposition model.
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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