UCSD - GARCH Package of Kevin Sheppard. Multivariate GARCH models

11 views (last 30 days)
Hello! I'm trying to use MV-GARCH model from UCSD package but I always have errors that are related to the data type.
For example : ??? Undefined function or method 'dcc_mvgarch' for input arguments of type 'double'.
I don't know a lot in MATLAB so can somebody explain to me how to change the data type and why it doesn't work?
As a data I have a 5000x10 matrix of residuals of rt=mu+et model. Is it ok?
Can somebody just show me a little example of how it works?
Thank you for all your help!

Accepted Answer

Oleg Komarov
Oleg Komarov on 1 Apr 2012
You have to add the the folders (and subfolders) where the package is to the MATLAB path:
File > Set path > Add with subfolders

More Answers (4)

Maria
Maria on 1 Apr 2012
Hi Oleg! Thank you , it works much better but still there is a problem. I mean in the USCD toolbox distribution functions have their previous names like chis_cdf.m while I have rather new MATLAB version where there is only chi2cdf.m .
I tried to find old functions looking in the Internet but it didn't lead to the good results. So what is in your opinion the fastest way to solve the problem? For example I can't find mprint function in thee new MATLAB. What is the analog?
Thanks a lot!
  1 Comment
Oleg Komarov
Oleg Komarov on 1 Apr 2012
There's no guarantee MATLAB implements user defined functions. Also, no sure method to find potential analogs.
Try searching the FEX for other user defined functions that may suit your needs.

Sign in to comment.


Maria
Maria on 2 Apr 2012
Ok , thank you. I'll try this way.
By the way Oleg , do you whether there are some other Multivariate GARCH toolboxes for MATLAB? I've found only the Sheppard's one.
Thank you!

Garth Mortensen
Garth Mortensen on 28 Sep 2012
My thesis applied MVGARCH to two return series. I put all my work and code online so others can benefit.
https://sites.google.com/site/garthmortensenthesis/
I hope it helps.

Abdelrazzaq
Abdelrazzaq on 1 Dec 2015
Dear all; In order to estimate the ADCC, can anybody please tell me the order of the functions in need to call to estimaate the model? please help
Is it enough to call the function DCC to get the dynamic correlation, if so then which output will give me the dynamic corr series, so i can use further in my regression

Categories

Find more on Conditional Variance Models in Help Center and File Exchange

Community Treasure Hunt

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

Start Hunting!