Nonlinear Intraday Dynamics in Eurostoxx50 Index Markets
Robles-Fernandez M. Dolores (),
Nieto Luisa () and
Fernandez M. Angeles ()
Additional contact information
Robles-Fernandez M. Dolores: Universidad Complutense de Madrid
Nieto Luisa: Universitat Jaume I
Fernandez M. Angeles: Universitat Jaume I
Authors registered in the RePEc Author Service: M. Dolores Robles Fernandez
Studies in Nonlinear Dynamics & Econometrics, 2004, vol. 8, issue 4, 28
Abstract:
This paper analyses the nonlinear dynamic behaviour of intraday returns in the Eurostoxx50 cash and futures index which, given their relatively recent appearance, have not yet been analysed. We find that both return series show nonlinear individual dynamics that cannot exclusively be explained by the presence of conditional heteroskedasticity. Our findings also indicate nonlinear dynamic relationships between both market prices. The adjustment process to mispricing errors is nonlinear and shows periods of explosive behaviour. Finally, we distinguish between linear and nonlinear Granger causality and establish that the information flow is bi-directional both in the linear as well as in the nonlinear sphere.
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://doi.org/10.2202/1558-3708.1106 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:sndecm:v:8:y:2004:i:4:n:3
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html
DOI: 10.2202/1558-3708.1106
Access Statistics for this article
Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach
More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().