Multivariate GARCH Models
Annastiina Silvennoinen () and
Timo Teräsvirta
Additional contact information
Annastiina Silvennoinen: University of Technology Sydney, School of Finance and Economics
Chapter 9 in Handbook of Financial Time Series, 2009, pp 201-229 from Springer
Abstract:
Abstract This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example in which several multivariate GARCH models are fitted to the same data set and the results compared.
Keywords: Conditional Variance; GARCH Model; Conditional Correlation; Conditional Covariance; Dynamic Conditional Correlation (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (4)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Multivariate GARCH models (2008) 
Working Paper: Multivariate GARCH models (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-71297-8_9
Ordering information: This item can be ordered from
http://www.springer.com/9783540712978
DOI: 10.1007/978-3-540-71297-8_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().