You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: full_bekk_simulate.m
    path of file: ./repos/malini/Codes/FC_EC_calculation code/DynamicFC/jplv7/Ucsd_garch/MV Garch/Bekk
    
    the code of the file until where you have to start completion: function [data, Ht] = full_bekk_simulate(t,k,parameters,p,q)
% PURPOSE:
%     To simulate a full BEKK multivariate GARCH model. 
% 
% USAGE:
%     [data, Ht] = full_bekk_simulate(t,k,parameters,p,q)
% 
% INPUTS:
%     t             - Length of data serie to prouce
%     k             - Dimension of series to produce
%     parameters    - A vecotr continaing C, A's, and B's.  Shoudlhave length (k*(k+1))/2 + p*k^2 + q*k^2
%     p             - The lag length of the innovation process
%     q             - The lag length of the AR process
% 
% OUTPUTS:
%     data          - A t by k matrix of zero mean residuals
%     Ht            - A k x k x t 3 dimension matrix of conditional covariances
% 
% 
% COMMENTS:
% 
% Author: Kevin Sheppard
% kevin.sheppard@economics.ox.ac.uk

    
function [data, Ht] = full_bekk_simulate(t,k,parameters,p,q)
% PURPOSE:
%     To simulate a full BEKK multivariate GARCH model. 
% 
% USAGE:
%     [data, Ht] = full_bekk_simulate(t,k,parameters,p,q)
% 
% INPUTS:
%     t             - Length of data serie to prouce
%     k             - Dimension of series to produce
%     parameters    - A vecotr continaing C, A's, and B's.  Shoudlhave length (k*(k+1))/2 + p*k^2 + q*k^2
%     p             - The lag length of the innovation process
%     q             - The lag length of the AR process
% 
% OUTPUTS:
%     data          - A t by k matrix of zero mean residuals
%     Ht            - A k x k x t 3 dimension matrix of conditional covariances
% 
% 
% COMMENTS:
% 
% Author: Kevin Sheppard
% kevin.sheppard@economics.ox.ac.uk
% Revision: 2    Date: 12/31/2001

t=t+500;
k2=k*(k+1)/2;

%Reshape the parameters
C=ivech(parameters(1:(k*(k+1)/2))');
C=tril(C);

LHS=eye(k^2);

A=parameters(k2+1:k2+k*k*p);
B=parameters(k2+k*k*p+1:k2+k*k*p+k*k*q);
tempA=zeros(k,k,p);
tempB=zeros(k,k,p);
for i=1:p
    tempA(:,:,i)=reshape(A((k*k*(i-1)+1):(k*k*i)),k,k);
end