How Well Does Uncertainty Forecast Economic Activity?
Jiawen Xu and
John Rogers
Journal of Money, Credit and Banking, 2025, vol. 57, issue 2-3, 645-662
Abstract:
We evaluate the forecasting ability of several popular measures of uncertainty. We construct new real‐time versions of both macro‐economic and financial uncertainty, and analyze them together with their ex post counterparts. We find some explanatory power in all uncertainty measures, with relatively good performance by ex post macro‐economic and financial uncertainty. However, real‐time versions perform only about as well as other uncertainty measures such as economic policy uncertainty (EPU), a finding we relate to data revisions in the construction of ex post uncertainty. Real‐time data and estimation considerations are highly consequential, owing to look‐ahead bias. Real‐time uncertainty forecasts real‐time outcome variables better than it forecasts ex post revised outcome variables.
Date: 2025
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/jmcb.13123
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jmoncb:v:57:y:2025:i:2-3:p:645-662
Access Statistics for this article
Journal of Money, Credit and Banking is currently edited by Robert deYoung, Paul Evans, Pok-Sang Lam and Kenneth D. West
More articles in Journal of Money, Credit and Banking from Blackwell Publishing
Bibliographic data for series maintained by Wiley Content Delivery ().