COVID-19, economic policy uncertainty and stock returns in selected European countries: a wavelet analysis
Eugene Kouassi et al.
What the paper says
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.