求教，在matlab下怎么做BEKK-GARCH和DCC-GARCH，我已经找到这两个模型的M函数了，但是还是不会用，本人在做套期保值模型最优比实验，我尝试用现货和期货收益率作为data，但是运行出来感觉不对，本人对matlab也是初学者，希望高人赐教，感激不尽！
function [parameters, loglikelihood, Ht,likelihoods, stdresid, stderrors, A, B, scores] = full_bekk_mvgarch(data,p,q,BEKKoptions)
% INPUTS:
% data - A t by k matrix of zero meanresiduals
% p - The lag length of the innovationprocess
% q - The lag length of the AR process
% options - (optional) Options for theoptimization(fminunc)
[parameters, loglikelihood, Ht, Qt, stdresid, likelihoods, stderrors, A,B, jointscores]=dcc_mvgarch(data,dccP,dccQ,archP,garchQ)
data = A zero mean t by k vector of residuals from some filtration
% dccP = The lag length of the innovation term in the DCC estimator
% dccQ = The lag length of the lagged correlation matrices in the DCC estimator
% archP = One of three things: Empty in which case a 1 innovation model is estimated for