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Statistical properties of the volatility of price fluctuations

Open access
Liu, Yanhui, Gopikrishnan, Parameswaran, Cizeau, Meyer, Peng, Stanley, H. Eugene·1999·Physical Review E

Abstract

We study the statistical properties of volatility, measured by locally averaging over a time window T, the absolute value of price changes over a short time interval deltat. We analyze the S&P 500 stock index for the 13-year period Jan. 1984 to Dec. 1996. We find that the cumulative distribution of the volatility is consistent with a power-law asymptotic behavior, characterized by an exponent mu approximately 3, similar to what is found for the distribution of price changes. The volatility distribution retains the same functional form for a range of values of T. Further, we study the volatility correlations by using the power spectrum analysis. Both methods support a power law decay of the correlation function and give consistent estimates of the relevant scaling exponents. Also, both methods show the presence of a crossover at approximately 1.5 days. In addition, we extend these results to the volatility of individual companies by analyzing a data base comprising all trades for the largest 500 U.S. companies over the two-year period Jan. 1994 to Dec. 1995.

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Metadata

Authors
Liu, Y., Gopikrishnan, P., Cizeau, Meyer, Peng, & Stanley, H. E.
Venue
Physical Review E
Published
1999-08-01
Volume
60
Issue
2
Pages
1390-1400
ISSN
  • 1063-651X (ISSN-L)
  • 1095-3787
OpenAlex
W2002286553
Cited by
728
References
2
FWCI
69.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Statistical properties of the volatility of price fluctuations. https://app.cochat.ai/papers/10.1103/physreve.60.1390
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Liu, Y., Gopikrishnan, P., Cizeau, Meyer, Peng, & Stanley, H. E. (1999). Statistical properties of the volatility of price fluctuations. Physical Review E. https://doi.org/10.1103/physreve.60.1390

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