The role of economic uncertainty in forecasting exchange rate returns and realized volatility : evidence from quantile predictive regressions

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Authors

Christou, Christina
Gupta, Rangan
Hassapis, Christis
Suleman, Tahir

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Publisher

Wiley

Abstract

In this paper, we investigate whether the news‐based measure of economic policy uncertainty (EPU) can be used to forecast exchange rate returns and volatility using a quantile regression approach, which accounts for persistence and endogeneity, using data from 13 different countries. Our main findings suggest that: (i) EPU is useful for forecasting exchange rate returns and volatility, (ii) forecasting ability–quantile order relationships exhibit a U‐shape, possibly asymmetric form around the median; and (iii) asymmetries are more pronounced in the case of forecasting volatility.

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Keywords

Developed markets, Emerging markets, Economic policy uncertainty (EPU), Exchange rate returns, Quantile predictive regressions, Volatility, Predictability, Monetary policy, Forecasting

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Citation

Christou C, Gupta R, Hassapis C, Suleman T. The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions. Journal of Forecasting. 2018;37:705–719. https://doi.org/10.1002/for.2539.