Power law for ensembles of stock prices

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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4 pages, 1 figure

Scientific paper

10.1016/j.physa.2004.06.125

In this paper we quantitatively investigate the statistical properties of an ensemble of {\it stock prices}. We selected 1200 stocks traded in the Tokyo Stock Exchange and formed a statistical ensemble of daily stock prices for each trading day in the 5 year period from January 4, 1988 to December 30, 1992. We found that the tail of the complementary cumulative distribution function of the ensembles is accurately described by a power-law distribution with an exponent that moves in the range of $ 1.7 < \alpha < 2.2 $.

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