An EM Algorithm for Conditionally Heteroskedastic Factor Models
This paper discusses the application of the EM algorithm for maximum likelihood estimation of factor models with conditional heteroskedasticity in the common factors.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1996|
|Date of revision:|
|Contact details of provider:|| Postal: Centro de Estudios Monetarios Y Financieros. Casado del Alisal, 5-28014 Madrid, Spain.|
Web page: http://www.cemfi.es/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:cemfdt:9615. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.