Table 3.
Estimate | Std. Error | t-value | Pr(> |t| ) | |
---|---|---|---|---|
0.00119 | 0.00064 | 1.849 | 0.064 | |
0.01316 | 0.02290 | 0.575 | 0.565 | |
0.00008 | 0.00003 | 2.681 | 0.007 | |
0.14447 | 0.03211 | 4.500 | ||
0.81655 | 0.03663 | 22.292 | ||
attacks | 0.00101 | 0.00055 | 1.845 | 0.065 |
COVID-19 | 0.00041 | 0.00039 | 1.067 | 0.286 |
The table presents the parameter estimates of a GARCH(1,1) model with exogenous dummy variables accounting for days of Bitcoin market-related events (“attacks”) or the COVID-19-induced stock market crash (February 21 to May 31, 2020). Standard errors are calculated accounting for heteroscedasticity and autocorrelation