-
Notifications
You must be signed in to change notification settings - Fork 273
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Documentation on GARCH Tutorial #629
Comments
Thanks for bringing this to our attention. It is indeed a typo and should say |
Thank you!
Sent from Outlook<http://aka.ms/weboutlook>
…________________________________
From: Mariana Menchero García ***@***.***>
Sent: Wednesday, September 6, 2023 6:27 PM
To: Nixtla/statsforecast ***@***.***>
Cc: datatemb ***@***.***>; Author ***@***.***>
Subject: Re: [Nixtla/statsforecast] Documentation on GARCH Tutorial (Issue #629)
Thanks for bringing this to our attention. It is indeed a typo and should say $ARCH(1)$. The $GARCH(2,1)$ is the best model for the next stock, which is AMZN. We'll fix it asap.
—
Reply to this email directly, view it on GitHub<#629 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AN6UEOE7RLBWSTM75SCARATXZEBGRANCNFSM6AAAAAA4FFAKKE>.
You are receiving this because you authored the thread.Message ID: ***@***.***>
|
MMenchero
added a commit
that referenced
this issue
Sep 19, 2023
MMenchero
added a commit
that referenced
this issue
Sep 20, 2023
AzulGarza
pushed a commit
that referenced
this issue
Oct 2, 2023
Closed by #650 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
The following comment appears to be incorrect since the minimum loss value for AAPL was for the ARCH(1) model i.e. highlighted in Blue. The comment states that GARCH(2,1) had the best result. Unless I'm just misunderstanding the tutorial, the lower the loss value the better.
See https://nixtla.github.io/statsforecast/docs/tutorials/garch_tutorial.html
Thank you!
The text was updated successfully, but these errors were encountered: