Time-frequency dynamics of financial market stress and global economic uncertainties: evidence from the COVID-19 pandemic
| dc.contributor.author | Armah, M. | |
| dc.contributor.author | Amewu, G. | |
| dc.date.accessioned | 2023-02-01T20:05:32Z | |
| dc.date.available | 2023-02-01T20:05:32Z | |
| dc.date.issued | 2022 | |
| dc.description | Research Article | en_US |
| dc.description.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 | en_US |
| dc.identifier.citation | To cite this article: Mohammed Armah & Godfred Amewu (2022): Time-frequency dynamics of financial market stress and global economic uncertainties: evidence from the COVID-19 pandemic, Applied Economics Letters, DOI: 10.1080/13504851.2022.2156465 | en_US |
| dc.identifier.other | https://doi.org/10.1080/13504851.2022.2156465 | |
| dc.identifier.uri | http://ugspace.ug.edu.gh:8080/handle/123456789/38545 | |
| dc.language.iso | en | en_US |
| dc.publisher | Applied Economics Letters | en_US |
| dc.subject | E60 | en_US |
| dc.subject | G10 | en_US |
| dc.subject | G18 | en_US |
| dc.title | Time-frequency dynamics of financial market stress and global economic uncertainties: evidence from the COVID-19 pandemic | en_US |
| dc.type | Article | en_US |
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