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. 2021 Feb 27;167:120710. doi: 10.1016/j.techfore.2021.120710

Table 4.

Estimation results for the ARMA-DCC-ADCC-GARCH process.

DCC ADCC
Coef. S.E. t-stat Prob Coef. S.E. t-stat Prob
uS&P500 0.076282 0.005486 1.390e+01 0.00000 0.074262 0.012511 5.935825 0.000000
ARS&P500 0.959602 0.008604 1.115e+02 0.00000 0.763577 0.114258 6.682928 0.000000
MAS&P500 −1.034701 0.000011 −9.17e+04 0.00000 −0.819141 0.116016 −7.060620 0.000000
ωS&P500 0.027871 0.007215 3.860e+00 0.00012 0.030567 0.006465 4.727788 0.000002
αS&P500 0.185074 0.028642 6.461e+00 0.00000 0.000436 0.017796 0.024515 0.980442
βS&P500 0.808261 0.025064 3.228e+01 0.00000 0.824524 0.024022 34.323514 0.000000
γS&P500 0.294672 0.051119 5.764436 0.000000
λS&P500 4.497313 0.352616 1.275e+01 0.00000 4.709163 0.411914 11.432406 0.000000
uCSI300 0.041053 0.021508 1.907e+00 0.05600 0.038547 0.021795 1.768637 0.076954
ARCSI300 −0.851760 0.086278 −9.83e+00 0.00000 −0.85170 0.086537 −9.834702 0.000000
MACSI300 0.849592 0.087669 9.690e+00 0.00000 0.850468 0.087846 9.681397 0.000000
ωCSI300 0.013565 0.005676 2.390e+00 0.01648 0.015339 0.007077 2.167408 0.030204
αCSI300 0.057572 0.010050 5.728e+00 0.00000 0.051603 0.010820 4.769331 0.000002
βCSI300 0.939849 0.009696 9.693e+01 0.00000 0.937363 0.011737 79.861534 0.000000
γCSI300 0.015100 0.018404 0.820452 0.411958
λCSI300 4.440714 0.365139 1.216e+01 0.00000 4.407926 0.363746 12.118146 0.000000
a 0.002567 0.001322 1.942e+00 0.05207 0.012249 0.014017 0.873901 0.382172
b 0.996613 0.002131 4.675e+02 0.00000 0.933156 0.166451 5.606178 0.000000
c 0.000000 0.016984 0.000009 0.999993
λ 5.123312 0.297466 1.723e+01 0.00000 5.260955 0.329326 15.974936 0.000000
Akaike 5.6917 5.6674
Bayes 5.7468 5.7300
Shibata 5.6915 5.6672
H-Q 5.7118 5.6903
LL −6501 −6470

Notes: DCC and ADCC are estimated using a multivariate normal (MVNORM) distribution. All specifications include a constant and AR(1) and MA(1) terms in the mean equation.