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. mgarch ccc (rt rn =, noconstant), arch(1/1) garch(1/1) distribution(t)

Calculating starting values....

Optimizing concentrated log likelihood

(setting technique to bhhh)
Iteration 0:  Log likelihood = -9465.2401  
Iteration 1:  Log likelihood = -9278.7476  
Iteration 2:  Log likelihood =  -9218.482  
Iteration 3:  Log likelihood = -9186.7365  
Iteration 4:  Log likelihood = -9179.6354  
Iteration 5:  Log likelihood = -9176.4359  
Iteration 6:  Log likelihood = -9174.8913  
Iteration 7:  Log likelihood = -9174.0186  
Iteration 8:  Log likelihood = -9173.6656  
Iteration 9:  Log likelihood = -9173.5302  
(switching technique to nr)
Iteration 10: Log likelihood = -9173.4853  
Iteration 11: Log likelihood = -9173.4648  
Iteration 12: Log likelihood = -9173.4647  

Optimizing unconcentrated log likelihood

Iteration 0:  Log likelihood = -9173.4668  
Iteration 1:  Log likelihood = -9170.6288  
Iteration 2:  Log likelihood =  -9170.588  
Iteration 3:  Log likelihood =  -9170.588  

Constant conditional correlation MGARCH model
Sample: 04jan2012 thru 15mar2023                         Number of obs = 2,817
Distribution: t                                          Wald chi2(.)  =     .
Log likelihood = -9170.588                               Prob > chi2   =     .

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             | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
ARCH_rt      |
        arch |
         L1. |   .0467986   .0104035     4.50   0.000     .0264082     .067189
             |
       garch |
         L1. |   .9348141   .0154013    60.70   0.000     .9046281    .9650002
             |
       _cons |   .0391587   .0136086     2.88   0.004     .0124863     .065831
-------------+----------------------------------------------------------------
ARCH_rn      |
        arch |
         L1. |    .034557   .0079309     4.36   0.000     .0190127    .0501013
             |
       garch |
         L1. |   .9612061   .0092288   104.15   0.000      .943118    .9792942
             |
       _cons |   .0145636   .0067603     2.15   0.031     .0013137    .0278136
-------------+----------------------------------------------------------------
  corr(rt,rn)|   .5921368    .013857    42.73   0.000     .5649776    .6192959
-------------+----------------------------------------------------------------
         /df |   4.902598   .3169022    15.47   0.000     4.281481    5.523715
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