function dataset_ = compute_acov(dataset_) % Computes the (multivariate) auto-covariance function of the sample (possibly with missing observations). %@info: %! @deftypefn {Function File} {@var{dataset_} =} compute_corr(@var{dataset_},@var{nlag}) %! @anchor{compute_acov} %! This function computes the (multivariate) auto-covariance function of the sample (possibly with missing observations). %! %! @strong{Inputs} %! @table @var %! @item dataset_ %! Dynare structure describing the dataset, built by @ref{initialize_dataset} %! @item nlag %! Integer scalar. The maximum number of lags of the autocovariance function. %! @end table %! %! @strong{Outputs} %! @table @var %! @item dataset_ %! Dynare structure describing the dataset, built by @ref{initialize_dataset} %! @end table %! %! @strong{This function is called by:} %! @ref{descriptive_statistics}. %! %! @strong{This function calls:} %! @ref{ndim}, @ref{compute_cova}, @ref{demean}, @ref{nandemean}. %! %! @strong{Remark 1.} On exit, a new field is appended to the structure: @code{dataset_.descriptive.acov} is a %! @tex{n\times n\times p} array (where @tex{n} is the number of observed variables as defined by @code{dataset_.info.nvobs}, %! and @tex{n} is the maximum number of lags given by the second input @code{nlag}). %! %! @strong{Remark 2.} If @code{dataset_.descriptive.cova} does not exist, the covariance matrix is computed prior to the %! computation of the auto-covariance function. %! %! @end deftypefn %@eod: % Copyright (C) 2011-2012 Dynare Team % % This file is part of Dynare. % % Dynare is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % % Dynare is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with Dynare. If not, see . % Original author: stephane DOT adjemian AT univ DASH lemans DOT fr if ~isfield(dataset_.descriptive,'cova') dataset_ = compute_cova(dataset_); end dataset_.descriptive.acov = zeros(dataset_.nvobs,dataset_.nvobs,nlag); data = transpose(dataset_.data); for lag=1:nlag for i=1:dataset_.info.nvobs for j=1:dataset_.info.nvobs if dataset_.missing.state dataset_.descriptive.acov(i,j,lag) = nanmean(nandemean(data(lag+1:end,i)).*nandemean(data(1:end-lag,j))); else dataset_.descriptive.acov(i,j,lag) = mean(demean(data(lag+1:end,i)).*demean(data(1:end-lag,j))); end end end end