Testing for causality in variance in the presence of breaks
Dick van Dijk,
Denise Osborn and
Marianne Sensier ()
No EI 2004-48, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute
Abstract:
We examine the size properties of tests for causality in variance in the presence of structural breaks in volatility. Extensive Monte Carlo simulations demonstrate that these tests suffer from severe size distortions when such breaks are not taken into account. Pre-testing the series for structural changes in volatility is shown to largely remedy the problem.
Keywords: causality tests; structural change; volatitilty (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
Date: 2004-11-05
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://repub.eur.nl/pub/1801/ei200448.pdf (application/pdf)
Related works:
Journal Article: Testing for causality in variance in the presence of breaks (2005) 
Working Paper: Testing for causality in variance in the presence of breaks (2004) 
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:ems:eureir:1801
Access Statistics for this paper
More papers in Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute Contact information at EDIRC.
Bibliographic data for series maintained by RePub ( this e-mail address is bad, please contact ).