

    \filetitle{fevd}{Forecast error variance decomposition for SVAR variables}{SVAR/fevd}

	\paragraph{Syntax}

\begin{verbatim}
[X,Y,XX,YY] = fevd(V,NPer)
[X,Y,XX,YY] = fevd(V,Range)
\end{verbatim}

\paragraph{Input arguments}

\begin{itemize}
\item
  \texttt{V} {[} VAR {]} - Structural VAR model.
\item
  \texttt{NPer} {[} numeric {]} - Number of periods.
\item
  \texttt{Range} {[} numeric {]} - Date range.
\end{itemize}

\paragraph{Output arguments}

\begin{itemize}
\item
  \texttt{X} {[} numeric {]} - Forecast error variance decomposition
  into absolute contributions of residuals; absolute contributions sum
  up to the total variance.
\item
  \texttt{Y} {[} numeric {]} - Forecast error variance decomposition
  into relative contributions of residuals; relative contributions sum
  up to \texttt{1}.
\item
  \texttt{XX} {[} tseries {]} - Database with a tseries with absolute
  contributions in columns for each VAR variable.
\item
  \texttt{YY} {[} tseries {]} - Database with a tseries with relative
  contributions in columns for each VAR variable.
\end{itemize}

\paragraph{Options}

\begin{itemize}
\itemsep1pt\parskip0pt\parsep0pt
\item
  \texttt{'output='} {[} \emph{\texttt{'namedmat'}} \textbar{}
  \texttt{'numeric'} {]} - Return matrices \texttt{X} and \texttt{Y} as
  either namedmat objects (matrices with named rows and columns) or
  plain numeric arrays.
\end{itemize}

\paragraph{Description}

\paragraph{Example}


