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Power Laws and Gaussians for Stock Market Fluctuations

Abstract

The daily volume of transaction on the New York Stock Exchange and its day-to-day fluctuations are analysed with respect to power-law tails as well long-term trends. We also model the transition to a Gaussian distribution for longer time intervals, like months instead of days.Comment: 7 pages including 4 figure

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    Last time updated on 04/12/2019