EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:245:y:1997:i:3:p:441-445