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Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic
| Content Provider | MDPI |
|---|---|
| Author | Duttilo, Pierdomenico Gattone, Stefano Battista, Tonio Di |
| Copyright Year | 2021 |
| Description | Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4 January 2016 to 31 December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium. |
| Starting Page | 1212 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9111212 |
| Journal | Mathematics |
| Issue Number | 11 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-05-27 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Information and Library Science Volatility Covid-19 Pandemic Garch Models Euro Area Stock Indices |
| Content Type | Text |
| Resource Type | Article |
