COVID-19 and stock market volatility: A time-varying perspective
Mert Topçu et al.
What the paper says
This study explores the response of the US stock market volatility to the COVID-19 pandemic over the period January 03 – October 15, 2020. Unlike the results from a conventional approach which reveals the absence of Granger causality, the time-varying causality results indicate two episodes detected following the FED's policy announcements, suggesting an indirect volatility response. We also discover the response to COVID-19 information in which negative news affects volatility over a longer period than positive news. These findings confirm the importance of time-varying structure as well as the negativity bias.
7 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.40 × 0.4 = 0.16 |
| M · momentum | 0.80 × 0.15 = 0.12 |
| 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.