(G)ARCH estimation. Input series.

2 次查看(过去 30 天)
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.

采纳的回答

Hang Qian
Hang Qian 2018-6-7
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

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Conditional Variance Models 的更多信息

产品


版本

R2017b

Community Treasure Hunt

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

Start Hunting!

Translated by