The role of economic uncertainty in forecasting exchange rate returns and realized volatility : evidence from quantile predictive regressions
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Date
Authors
Christou, Christina
Gupta, Rangan
Hassapis, Christis
Suleman, Tahir
Journal Title
Journal ISSN
Volume Title
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.
Description
Keywords
Developed markets, Emerging markets, Economic policy uncertainty (EPU), Exchange rate returns, Quantile predictive regressions, Volatility, Predictability, Monetary policy, Forecasting
Sustainable Development Goals
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.