Economy – Quantitative Finance – Statistical Finance
Scientific paper
2007-09-11
The European Physical Journal B 62(1), 113-119 (2008)
Economy
Quantitative Finance
Statistical Finance
11 pages
Scientific paper
10.1140/epjb/e2008-00123-0
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 $\tau$ and its mean $<\tau>$. 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.
Havlin Shlomo
Jung Woo-Sung
Kaizoji Taisei
Moon Hie-Tae
Stanley Eugene H.
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