 Stock returns and macroeconomic uncertaintyLeonardo Iania, P. Thao Nguyen and Kristien Smedts International Review of Financial Analysis, 2025, vol. 104, issue PA Abstract: This paper provides a comprehensive review of various measures of uncertainty and their asset pricing implications in the cross-section of U.S. stock returns. With a focus on survey-based uncertainty, we add to the list of uncertainty measures previously studied in the literature with novel measures of forecast disagreement sourced from three professional forecast datasets. Through portfolio analyses and stock-level cross-sectional regressions over the sample period between 1989 and 2020, we observe that exposure to uncertainty can explain a significant portion of the cross-sectional dispersion in future stock returns. For survey-based uncertainty, the negative relation between uncertainty and future returns persists over long-term investment horizons, extending up to 36 months, and cannot be explained by the well-established return-predicting factors. Our subsample analysis also reveals that for the uncertainty measures heavily dependent on macroeconomic data, the return predictive power of uncertainty is significantly more prominent in the later subperiod. Keywords: Macroeconomic uncertainty; Cross section stock returns; Forecast disagreement; Economic policy uncertainty (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:104:y:2025:i:pa:s1057521925003503 DOI: 10.1016/j.irfa.2025.104263 Access Statistics for this article International Review of Financial Analysis is currently edited by B.M. Lucey More articles in International Review of Financial Analysis from Elsevier |
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