Volatility return intervals analysis of the Japanese market

. We investigate scaling and memory effects in return intervals between price volatilities above a certain threshold q for the Japanese stock market using daily and intraday data sets. We find that the distribution of return intervals can be approximated by a scaling function that depends only on th...

Full description

Saved in:
Bibliographic Details
Published inThe European physical journal. B, Condensed matter physics Vol. 62; no. 1; pp. 113 - 119
Main Authors Jung, W.-S., Wang, F. Z., Havlin, S., Kaizoji, T., Moon, H.-T., Stanley, H. E.
Format Journal Article
LanguageEnglish
Published Les Ulis EDP Sciences 01.03.2008
Springer
EDP sciences
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:. We investigate scaling and memory effects in return intervals between price volatilities above a certain threshold q for the Japanese stock market using daily and intraday data sets. We find that the distribution of return intervals can be approximated by a scaling function that depends only on the ratio between the return interval τ and its mean 〈τ〉. We also find memory effects such that a large (or small) return interval follows a large (or small) interval by investigating the conditional distribution and mean return interval. The results are similar to previous studies of other markets and indicate that similar statistical features appear in different financial markets. We also compare our results between the period before and after the big crash at the end of 1989. We find that scaling and memory effects of the return intervals show similar features although the statistical properties of the returns are different.
ISSN:1434-6028
1434-6036
DOI:10.1140/epjb/e2008-00123-0