Volatility clustering and persistence during COVID-19: evidence of asymmetric volatility in the Asia-Pacific stock markets
Dharen Kumar Pandey & Vineeta Kumari
What the paper says
We analyse 17 stock market indices in the Asia-Pacific region to examine the impacts of the COVID-19 on the Asia-Pacific stock markets by interpreting the generalised autoregressive conditional heteroskedasticity (GARCH) coefficients. While evidencing the absence of ARCH and GARCH effects during the pre-COVID period, we also evidence volatility clustering and persistence during the COVID period. It is evidenced that negative impacts result in higher volatility than positive impacts. The presence of time-varying volatility in the Asia-Pacific region has not been previously studied. The available literature has focused either on a single market or on the developed markets. Hence, the findings of this study are expected to contribute significantly to the finance literature.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.08 × 0.4 = 0.03 |
| 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.