COVID-19, economic policy uncertainty and stock returns in selected European countries: a wavelet analysis
Eugene Kouassi et al.
Abstract
This paper examines the relationship between Economic Policy Uncertainty (EPU) and stock market returns in major European economies, using the COVID-19 pandemic as a structural break. Analyzing data from March 2001 to January 2025 with wavelet techniques, we find a persistent, multi-frequency relationship. Our core result shows that the apparent impact of both COVID-19 and local EPU on peripheral European markets is substantially mediated by spillovers from Germany’s EPU, identifying Germany as a central transmission node. Furthermore, the lead-lag dynamics between uncertainty and returns vary significantly across investment horizons. An extended frequency decomposition reveals that high- and low-frequency components alter the phase relationship, both with and without the COVID-19 variable. We conclude that the EPU-stock return nexus is a complex, frequency-dependent phenomenon, heavily influenced by regional uncertainty spillovers.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.