EconPapers    
Economics at your fingertips  
 

ARFIMAX and ARFIMAX-TARCH realized volatility modeling

Stavros Degiannakis

Journal of Applied Statistics, 2008, vol. 35, issue 10, 1169-1180

Abstract: ARFIMAX models are applied in estimating the intra-day realized volatility of the CAC40 and DAX30 indices. Volatility clustering and asymmetry characterize the logarithmic realized volatility of both the indices. The ARFIMAX model with time-varying conditional heteroskedasticity is the best performing specification and, at least in the case of DAX30, provides statistically superior next trading day's realized volatility forecasts.

Keywords: ARFIMAX; realized volatility; TARCH; volatility forecasting (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02664760802271017 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: ARFIMAX and ARFIMAX-TARCH Realized Volatility Modeling (2008) Downloads
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:japsta:v:35:y:2008:i:10:p:1169-1180

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664760802271017

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-22
Handle: RePEc:taf:japsta:v:35:y:2008:i:10:p:1169-1180