# Scaling of the distribution of fluctuations of financial market indices

## Author Info

• Parameswaran Gopikrishnan

(Center for Polymer Studies, Boston University, Boston, MA)

• Vasiliki Plerou

(Center for Polymer Studies, Boston University, Boston, MA)

• Luis A. Nunes Amaral

(Center for Polymer Studies, Boston University, Boston, MA)

• Martin Meyer

(Center for Polymer Studies, Boston University, Boston, MA)

• H. Eugene Stanley

(Center for Polymer Studies, Boston University, Boston, MA)

Registered author(s):

## Abstract

We study the distribution of fluctuations over a time scale $\Delta t$ (i.e., the returns) of the S&P 500 index by analyzing three distinct databases. Database (i) contains approximately 1 million records sampled at 1 min intervals for the 13-year period 1984-1996, database (ii) contains 8686 daily records for the 35-year period 1962-1996, and database (iii) contains 852 monthly records for the 71-year period 1926-1996. We compute the probability distributions of returns over a time scale $\Delta t$, where $\Delta t$ varies approximately over a factor of 10^4 - from 1 min up to more than 1 month. We find that the distributions for $\Delta t \leq$ 4 days (1560 mins) are consistent with a power-law asymptotic behavior, characterized by an exponent $\alpha \approx 3$, well outside the stable L\'evy regime \$0

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File URL: http://arxiv.org/pdf/cond-mat/9905305

## Bibliographic Info

Paper provided by arXiv.org in its series Papers with number cond-mat/9905305.

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 Length: Date of creation: May 1999 Date of revision: Handle: RePEc:arx:papers:cond-mat/9905305 Contact details of provider: Web page: http://arxiv.org/

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