Analysis on Runs of Daily Returns in Istanbul Stock Exchange
Ahmet Sensoy
MPRA Paper from University Library of Munich, Germany
Abstract:
The aim of this paper is to obtain some statistical properties about runs of daily returns of ISE30, ISE50 and ISE100 indices and compare these results with the empirical stylized facts of developed stock markets. In this manner, all time historical daily closing values of these indices are studied and the following observations are obtained; exponential law fits pretty well for the distribution of both run length and magnitude of run returns. Market is equally likely to go up or go down everyday. Market depth has improved over recent years. Large magnitudes of run returns are more likely to be seen in positive runs. As in the developed stock markets, daily returns in Istanbul Stock Exchange don’t have significant autocorrelations but absolute values (i.e. magnitudes) of daily returns exhibit strong and slowly decaying autocorrelations up to several weeks suggesting volatility clustering. Similar to the absolute daily returns, absolute value of run returns display strong and slowly decaying autocorrelations which again supporting the existence of volatility clustering. Unlike magnitudes of run returns, lenghts of runs don’t have significant autocorrelations.
Keywords: Stylized Facts; Return Runs; Autocorrelation; Volatility Clustering; Stock Market Efficiency (search for similar items in EconPapers)
JEL-codes: C00 C10 C20 (search for similar items in EconPapers)
Date: 2012-07-25
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/42645/1/MPRA_paper_42645.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:42645
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 ().