Abstract
This study adopts the smooth transition
Generalized Autoregressive Conditional Heteroscedastic (GARCH) model to depict
the influences of the Novel Coronavirus Disease (COVID-19) on the dynamic
structure of the broad-based indices volatility in Taiwan. The empirical
results show that the episode of the COVID-19 switches the volatility structure
for the most of indices volatilities except two industrial sub-indices, the
building materials and construction index and the trading and consumer goods
index. Furthermore, we obtain the transition function for all indices
volatilities and catch that their regime adjustment processes start prior to
the outbreak of COVID-19 pandemic in Taiwan except two industrial sub-indices,
the electronics index and the shipping and transportation index. Additionally,
the estimated transition functions show that the broad-based indices
volatilities have U-shaped patterns of structure changes except the trading and
consumer goods sub-indices. This study also calculated the corresponding
calendar dates of regime change about dynamic volatility pattern.
JEL classification numbers: G00, G10
Keywords: COVID-19, ST-GARCH, volatility, structure change.