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

  • Christina Christou
  • , Rangan Gupta
  • , Christis Hassapis
  • , Tahir Suleman*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

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.

Original languageEnglish
Pages (from-to)705-719
Number of pages15
JournalJournal of Forecasting
Volume37
Issue number7
DOIs
StatePublished - Nov 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 John Wiley & Sons, Ltd.

Keywords

  • developed and emerging markets
  • economic policy uncertainty
  • exchange rate returns
  • quantile predictive regressions
  • volatility

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

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