Perform statablility test on var (n) (n>2)

2 visualizaciones (últimos 30 días)
Nino C
Nino C el 18 de Oct. de 2023
Comentada: Nino C el 20 de Oct. de 2023
I'd like to know if there is a way to recover the companion-form matrix from the estimation using "varm" from econometric toolbox? or I have to recover it using each matrix lag on the AR object. I need it to test stability of the var model
Thanks in advance!

Respuestas (1)

akshatsood
akshatsood el 19 de Oct. de 2023
Hi Nino,
As per my understanding, to recover the companion-form matrix from the estimation using the "varm" function in the Econometrics Toolbox, you can have direct access the estimated var model's coefficient matrix. The companion-form matrix is a rearrangement of the coefficient matrix where the lagged endogenous variables are stacked in a vertical manner. Here is a code snippet for your reference
model = varm(2, 2); % 2 lags and 2 endogenous variables
estModel = estimate(model, <input_data>);
% extract coefficient matrix for the first lag
coefficientMatrix = estModel.AR{1};
companionMatrix = [coefficientMatrix' eye(size(coefficientMatrix, 1) * (model.NumSeries - 1))];
In the approach demonstrated above, "estModel.AR{1}" returns the coefficient matrix for the first lag. The companion-form matrix is then constructed by stacking the transpose of the coefficient matrix vertically, followed by an identity matrix multiplied by the number of endogenous variables minus one.
I hope this helps.
  1 comentario
Nino C
Nino C el 20 de Oct. de 2023
Thanks for your quick response. I was wondering if there is a built-in way to do it in the toolbox, there isn't apparently. I would take your advice :]

Iniciar sesión para comentar.

Categorías

Más información sobre Vector Autoregression Models en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by