FRACTIONAL INTEGRATION IN THE STOCK MARKET VOLATILITY SERIES
Luis Gil-Alana
International Journal of Theoretical and Applied Finance (IJTAF), 2002, vol. 05, issue 08, 775-783
Abstract:
In this article we model the stock market volatility in the US, the UK, France, Germany and Japan by means of using fractionally integrated techniques. The results, based on the tests of Robinson [24] show that the volatility series can be well described in terms ofI(d)statistical processes, withdhigher than 0.5 but smaller than 1, implying thus nonstationary but mean-reverting behaviour.
Keywords: Volatility; fractional integration; long memory (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219024902001663
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:wsi:ijtafx:v:05:y:2002:i:08:n:s0219024902001663
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219024902001663
Access Statistics for this article
International Journal of Theoretical and Applied Finance (IJTAF) is currently edited by L P Hughston
More articles in International Journal of Theoretical and Applied Finance (IJTAF) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().