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Scaling of the distribution of fluctuations of financial market indices

Listed author(s):
  • 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):

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

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    Date of creation: May 1999
    Handle: RePEc:arx:papers:cond-mat/9905305
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