IGARCH models and structural breaks
Guglielmo Maria Caporale,
Nikitas Pittis () and
Nicola Spagnolo
Applied Economics Letters, 2003, vol. 10, issue 12, 765-768
Abstract:
Using Monte Carlo simulations, it is shown that fitting a mis-specified GARCH model to a true MS-GARCH process tends to produce IGARCH parameter estimates. In other words, the presence of structural breaks can result in spuriously high estimates of the degree of persistence of shocks to the conditional variance.
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.
Related works:
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:taf:apeclt:v:10:y:2003:i:12:p:765-768
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/1350485032000138403
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().