Can financial uncertainty forecast aggregate stock market returns?

Olan Henry, Semih Kerestecioglu, Sam Pybis* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the role of financial uncertainty in forecasting aggregate stock market returns. Our results suggest that financial uncertainty, along with its change, are more powerful predictors of excess US monthly stock market returns than 14 macroeconomic predictors commonly used in the literature. Financial uncertainty is shown to outperform short interest, which has been suggested to be the strongest known predictor of the equity risk premium. These results persist using robust econometric methods in-sample, and when forecasting out-of-sample.
Original languageEnglish
JournalFinancial Markets, Institutions & Instruments
DOIs
Publication statusAccepted/In press - 12 Jan 2024

Keywords

  • equity risk premium
  • financial uncertainty
  • predictive regression
  • return predictability

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