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May 9, 2026Journal of Forecasting0 citations

Media and Business Cycle Predictability

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SBSalim BazLebanese American UniversityLCLara CathcartLondon School of Business and FinanceAMAlexander MichaelidesLondon School of Business and Finance

Key Points

  • This study aims to evaluate the effectiveness of media mentions of 'recession' as predictors for US business-cycle activity.
  • Constructed empirical measures of business-cycle activity based on media mentions from financial newspapers.
  • Compared media recession indicators with existing business-cycle predictors.
  • Analyzed the predictive capability of media mentions for potential recessions 6 months ahead.
  • Media recession indicators effectively predict economic activity both in-sample and out-of-sample.
  • Compared to existing predictors, MRIs show favorable outcomes in forecasting accuracy.
  • Use of a sophisticated sentiment-weighted index does not yield significant improvements in predictability.

Abstract

ABSTRACT We construct empirical measures of US business‐cycle activity based on media mentions of the word “recession” in financial newspapers. The MRIs (media recession indicators) are useful predictors of US economic activity, both in‐sample and out‐of‐sample. Moreover, they compare favorably with existing business‐cycle predictors (term premium, purchasing managers' index, consumer sentiment index and real stock market returns). Furthermore, we show that the MRIs are useful predictors of the probability of a US recession 6 months in advance. Our findings also suggest that constructing and using a more sophisticated sentiment‐weighted index does not lead to economically significant improvements in business cycle predictability.

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Cite This Study

Baz et al. (2026) studied this question.

synapsesocial.com/papers/69fed008b9154b0b82876f7bhttps://doi.org/10.1002/for.70167
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