Testing for long memory in ISE using Arfima-Figarch model and structural break test
Turhan Korkmaz,
Emrah Çevik and
Nesrin Özataç
MPRA Paper from University Library of Munich, Germany
Abstract:
This study examines long memory in Istanbul Stock Exchange (ISE) by using the structural break test in variance and ARFIMA-FIGARCH model. Our findings indicate that long memory does not exist in the equity return; however, it exits in volatility. Consequently, ISE is found as a weak form inefficient market due to volatility as it has a predictable component.
Keywords: Long memory; structural breaks in variance; Figarch model (search for similar items in EconPapers)
JEL-codes: C22 C58 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Published in International Research Journal of Finance and Economics 26 (2009): pp. 186-191
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/71302/1/MPRA_paper_71302.pdf original version (application/pdf)
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:pra:mprapa:71302
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().