Abstract
Given the negative effects of the COVID-19 pandemic on world economies, uncertainties are expected to increase during this period. To this end, we examine the time-frequency dynamics of financial market stress and economic uncertainties. We apply in-sample and out-sample namely; bivariate wavelet and quantile causality to accentuate the importance of economic uncertainties and market stress during COVID-19. We find that both in-sample and out-sample for economic uncertainty drive and pose a high risk to the financial market during COVID-19.
| Original language | English |
|---|---|
| Pages (from-to) | 934-939 |
| Number of pages | 6 |
| Journal | Applied Economics Letters |
| Volume | 31 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
Keywords
- E60
- G10
- G18
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