(G)ARCH estimation. Input series.

2 visualizaciones (últimos 30 días)
Dmitry Guzairov
Dmitry Guzairov el 7 de Jun. de 2018
Respondida: Hang Qian el 7 de Jun. de 2018
After declaring a "default" garch model such as: model = garch(1,1); estimates = estimate(model, y); y should be return series or should it be residuals(squared) from mean models (arima for example)? i think an "offset" option inside model specification could be usefull, but have no clue about it.

Respuesta aceptada

Hang Qian
Hang Qian el 7 de Jun. de 2018
Hi Dmitry,
If we have obtained the residuals, then we can create a GARCH model and just estimate the variance equation, like
model = garch(1,1);
estimate(model, y);
Also, we can directly estimate an ARIMA model with GARCH errors, so that both the mean equation and the variable equation are estimated simultaneously. For example,
Mdl = arima(1,0,1);
Mdl.Variance = garch(1,1);
estimate(Mdl,y);
Regards,
Hang Qian

Más respuestas (0)

Categorías

Más información sobre Conditional Mean Models en Help Center y File Exchange.

Productos


Versión

R2017b

Community Treasure Hunt

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

Start Hunting!

Translated by