Table 10. Maximum likelihood estimates... | Emerald Publishing

Table 10.

Maximum likelihood estimates of the t-DCC model

Parameter	Estimate	SE	t-ratio	[Prob]
Lambda1 (λ1)
BTC	0.78431	0.022993	34.1113	0.000
JPN	0.79256	0.039047	20.2976	0.000
KOR	0.91799	0.020504	44.7711	0.000
STI	0.92237	0.018229	50.5984	0.000
PHIL	0.82413	0.041149	20.0280	0.000
HK	0.94304	0.012236	77.0736	0.000
Lambda2 (λ2)
BTC	0.17795	0.017206	10.3420	0.000
JPN	0.10090	0.017102	5.9002	0.000
KOR	0.04696	0.009756	4.8137	0.000
STI	0.04475	0.009026	4.9587	0.000
PHIL	0.09367	0.018557	5.0478	0.000
HK	0.03017	0.005528	5.4570	0.000
Maximized log-likelihood	34153.2
df	7.4280

Parameter	Estimate	SE	t-ratio	[Prob]
Lambda1 (λ1)
BTC	0.78431	0.022993	34.1113	0.000
JPN	0.79256	0.039047	20.2976	0.000
KOR	0.91799	0.020504	44.7711	0.000
STI	0.92237	0.018229	50.5984	0.000
PHIL	0.82413	0.041149	20.0280	0.000
HK	0.94304	0.012236	77.0736	0.000
Lambda2 (λ2)
BTC	0.17795	0.017206	10.3420	0.000
JPN	0.10090	0.017102	5.9002	0.000
KOR	0.04696	0.009756	4.8137	0.000
STI	0.04475	0.009026	4.9587	0.000
PHIL	0.09367	0.018557	5.0478	0.000
HK	0.03017	0.005528	5.4570	0.000
Maximized log-likelihood	34153.2
df	7.4280

Notes:

This table reveals statistics of maximum likelihood based on t-DCC model for Bitcoin and Asian indices. λ1 and λ2 are decay factors for variance and covariance, respectively