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Scaling of the distribution of fluctuations of financial market indices

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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)
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 $0 < \alpha < 2$. To test the robustness of the S&P result, we perform a parallel analysis on two other financial market indices. Database (iv) contains 3560 daily records of the NIKKEI index for the 14-year period 1984-97, and database (v) contains 4649 daily records of the Hang-Seng index for the 18-year period 1980-97. We find estimates of $\alpha$ consistent with those describing the distribution of S&P 500 daily-returns. One possible reason for the scaling of these distributions is the long persistence of the autocorrelation function of the volatility. For time scales longer than $(\Delta t)_{\times} \approx 4$ days, our results are consistent with slow convergence to Gaussian behavior.

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

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

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  1. Jaume Masoliver & Miquel Montero & Josep Perello, . "The continuous time random walk formalism in financial markets," Modeling, Computing, and Mastering Complexity 2003 24, Society for Computational Economics.
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  2. Takaaki Ohnishi & Hideki Takayasu & Takatoshi Ito & Yuko Hashimoto & Tsutomu Watanabe & Misako Takayasu, 2008. "Dynamics of quote and deal prices in the foreign exchange market," Journal of Economic Interaction and Coordination, Springer, vol. 3(1), pages 99-106, June. [Downloadable!] (restricted)
  3. J. Doyne Farmer, 1999. "Physicists Attempt to Scale the Ivory Towers of Finance," Working Papers 99-10-073, Santa Fe Institute.
  4. S. M. Duarte Queirós, 2005. "On non-Gaussianity and dependence in financial time series: a nonextensive approach," Quantitative Finance, Taylor and Francis Journals, vol. 5(5), pages 475-487, October. [Downloadable!] (restricted)
  5. Wei-Xing Zhou, 2007. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance Papers 0708.3198, arXiv.org, revised Apr 2008. [Downloadable!]
  6. Hendrik J. Blok, 2000. "On the nature of the stock market: Simulations and experiments," Quantitative Finance Papers cond-mat/0010211, arXiv.org. [Downloadable!]
  7. Andrzej Krawiecki, 2009. "Microscopic spin model for the stock market with attractor bubbling on scale-free networks," Journal of Economic Interaction and Coordination, Springer, vol. 4(2), pages 213-220, November. [Downloadable!] (restricted)
  8. B. Craven & Sardar Islam, 2008. "A model for stock market returns: non-Gaussian fluctuations and financial factors," Review of Quantitative Finance and Accounting, Springer, vol. 30(4), pages 355-370, May. [Downloadable!] (restricted)
  9. Sitabhra Sinha & Raj Kumar Pan, 2006. "The Power (Law) of Indian Markets: Analysing NSE and BSE trading statistics," Quantitative Finance Papers physics/0605247, arXiv.org. [Downloadable!]
  10. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor and Francis Journals, vol. 6(2), pages 115-123, April. [Downloadable!] (restricted)
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