Volatility distribution in the S&P500 stock index
Pierre Cizeau,
Yanhui Liu,
Martin Meyer,
C.-K. Peng and
H. Eugene Stanley
Physica A: Statistical Mechanics and its Applications, 1997, vol. 245, issue 3, 441-445
Abstract:
We study the volatility of the S&P500 stock index from 1984 to 1996 and find that the volatility distribution can be very well described by a log-normal function. Further, using detrended fluctuation analysis we show that the volatility is power-law correlated with Hurst exponent α ≌ 0.9.
Keywords: Finance; Volatility; S&P500; Multiplicative processes (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (46)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437197004172
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:eee:phsmap:v:245:y:1997:i:3:p:441-445
DOI: 10.1016/S0378-4371(97)00417-2
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().