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March 10, 2026Journal of Forecasting0 citations

Global Insights Into Term Spreads: Unveiling Their Predictive Power During Unconventional Monetary Policy

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PKPetri KuosmanenJVJuuso Vataja

Key Points

  • The aim is to analyze the term spread's predictive power for GDP growth in different monetary policy contexts.
  • Utilized data from 22 OECD countries from 1985Q1 to 2024Q2.
  • Examined the predictive relationship under conventional and unconventional monetary policies.
  • Compared the term spread's effectiveness with stock returns as predictors for GDP growth.
  • Term spread predicts GDP growth effectively during conventional monetary policy periods.
  • Under unconventional monetary policy, the term spread's predictive ability decreases significantly.
  • Stock returns prove to be a more reliable predictor of GDP growth in unconventional settings.

Abstract

ABSTRACT This study investigates the predictive power of the term spread for forecasting economic activity across both conventional and unconventional monetary policy regimes. Utilizing data from 22 OECD countries spanning the period from 1985Q1 to 2024Q2, the analysis reveals that the term spread generally maintains its ability to predict GDP growth during periods of conventional monetary policy. Conversely, under unconventional monetary policy conditions, characterized by central bank policy rates anchored at the zero lower bound, the predictive power of the term spread diminishes substantially, remaining statistically significant in only a limited subset of countries. By contrast, stock returns emerge as a more robust explanatory variable for GDP growth across a broader set of economies under these conditions. These findings suggest that the term spread—historically regarded as one of the most reliable predictors of future economic activity since the late 1980s—may no longer serve as the most effective forecasting tool amid evolving monetary policy frameworks.

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Cite This Study

Kuosmanen et al. (2026) studied this question.

synapsesocial.com/papers/69af95a470916d39fea4d78fhttps://doi.org/10.1002/for.70133
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