用winrats做dcc-mvgarch出的结果，求解释！-经管之家官网！

从网上找到的程序套用出来的，不明白各变量什么含义，和从文献上看到的对应不上……求高手解释！
程序（来自pinggu一位同学的回复，找不到在哪了看的了，在此感谢该同学热心提供）：
all 350
open data 123.xls
data(format=xls,org=columns) / szgz szzs
compute n=2
dec vect[series] x(n)
compute i=0
dofor [string] s = 'szgz' 'szzs'
compute xrate=s,i=i+1
set x(i) = 100.0*log(%s(xrate)/%s(xrate){1})
end dofor
dec vect[series] eps(n)
dec vect fullbeta(4*n+2)
do i=1,n
garch(p=1,q=1,resids=r,hseries=h) / x(i)
set eps(i) = r/sqrt(h)
do j=1,4
compute fullbeta(n*(j-1)+i)=%beta(j)
end do j
end do i
vcv(matrix=rr)
# eps
dec series[symm] uu q
gset uu %regstart() %regend() = %outerxx(%xt(eps,t))
gset uu 1 %regstart()-1 = rr
gset q= rr
nonlin a b
dec frml[symm] qf
frml qf = (qx=(1-a-b)*rr+a*uu{1}+b*q{1})
frml logl = q=qf,%logdensity(%cvtocorr(q),%xt(eps,t))
compute b=.80,a=.10
maximize logl 2 *
compute fullbeta(4*n+1)=%beta(1),fullbeta(4*n+2)=%beta(2)
garch(p=1,q=1,mv=dcc,method=bhhh,initial=fullbeta,iters=1) / x
结果：
MV_GARCH, DCC - Estimation by BHHH
NO CONVERGENCE IN 1 ITERATIONS
LAST CRITERION WAS0.3207873
Usable Observations 350
Log Likelihood -871.98268799
Variable Coeff Std Error T-Stat Signif
*******************************************************************************
1.Mean(1) -0.1101649260.057507441 -1.915660.05540790
2.Mean(2) -0.1205920240.054127703 -2.227920.02588606
3.C(1) 3.8861821400.433119528 8.972540.00000000
4.C(2) 0.0501867320.008748604 5.736540.00000001
5.A(1) -0.0125181890.008799015 -1.422680.15482874
6.A(2) 0.0259573640.005339964 4.860960.00000117
7.B(1) -0.7867252470.190925359 -4.120590.00003779
8.B(2) 0.9477120440.008133608 116.518040.00000000
9.DCC(1) 0.0335627070.020591364 1.629940.10311398
10. DCC(2) 0.4218380280.488911587 0.862810.38824169