The yield curve strikes back: New evidence of its predictive power for economic activity and inflation

In this paper, we investigate the informational content of the yield curve for future economic activity and inflation across 40 countries over 2010–2021. We examine developed, Central and Eastern European (CEE),and emerging markets, grouping countries based on their monetary policy credibility and economic stability. First, we extract unobservable yield curve factors (level, slope, and curvature) for each country from its sovereign curve. We then incorporate the estimated slope and curvature into predictive regressions for economic growth and inflation using panel regressions. Finally, as a key innovation, we evaluate the out-of-sample forecasting accuracy of slope and curvature using novel panel forecasting techniques and econometric tests. Our empirical results show that slope and curvature contain predictive power for economic growth in CEE and developed countries. In emerging markets, yield curve factors shape expectations about future growth and inflation, but their out-of-sample forecasting performance remains limited. We further find that the strength of these predictive relationships depends critically on monetary policy credibility, with slope and curvature being more informative for future growth in countries where monetary policy credibility is lower. By contrast, economic stability does not materially affect forecasting performance. Finally, yield curve factors provide only limited and unstable signals for forecasting inflation. • We analyse the predictive role of the yield curve for economic growth and inflation across a panel of 40 countries. • We extract slope and curvature factors from yield curves for each country in the panel. • We apply novel panel forecast comparison methods that combine time-series and cross- sectional information. • Yield curve factors show stronger forecasting performance for CEE and developed economies and for countries with low credibility of monetary policy, while the output stability does not affect the reliability of predictive relationships across countries. • Yield curve factors provide limited information for forecasting inflation.

Authors

Institutions

Publication Details

Journal
International Review of Financial Analysis
Published
2026-02-23
DOI
https://doi.org/10.1016/j.irfa.2026.105128
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The yield curve strikes back: New evidence of its predictive power for economic activity and inflation

Olha Zadorozhna, Olga Klinkowska
International Review of Financial Analysis
Economic Growth and Productivity
article

The yield curve strikes back: New evidence of its predictive power for economic activity and inflation

Olha Zadorozhna, Olga Klinkowska
article en

Abstract

In this paper, we investigate the informational content of the yield curve for future economic activity and inflation across 40 countries over 2010–2021. We examine developed, Central and Eastern European (CEE),and emerging markets, grouping countries based on their monetary policy credibility and economic stability. First, we extract unobservable yield curve factors (level, slope, and curvature) for each country from its sovereign curve. We then incorporate the estimated slope and curvature into predictive regressions for economic growth and inflation using panel regressions. Finally, as a key innovation, we evaluate the out-of-sample forecasting accuracy of slope and curvature using novel panel forecasting techniques and econometric tests. Our empirical results show that slope and curvature contain predictive power for economic growth in CEE and developed countries. In emerging markets, yield curve factors shape expectations about future growth and inflation, but their out-of-sample forecasting performance remains limited. We further find that the strength of these predictive relationships depends critically on monetary policy credibility, with slope and curvature being more informative for future growth in countries where monetary policy credibility is lower. By contrast, economic stability does not materially affect forecasting performance. Finally, yield curve factors provide only limited and unstable signals for forecasting inflation. • We analyse the predictive role of the yield curve for economic growth and inflation across a panel of 40 countries. • We extract slope and curvature factors from yield curves for each country in the panel. • We apply novel panel forecast comparison methods that combine time-series and cross- sectional information. • Yield curve factors show stronger forecasting performance for CEE and developed economies and for countries with low credibility of monetary policy, while the output stability does not affect the reliability of predictive relationships across countries. • Yield curve factors provide limited information for forecasting inflation.

International Review of Financial AnalysisVol. 113
Kozminski University (PL)
Decent work and economic growth
Openalex Percentile: Top 49%
Economic Growth and Productivity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.