Power Laws and Gaussians for Stock Market Fluctuations
arXiv:physics/0603173 · doi:10.1016/j.physa.2006.07.012
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.
7 pages including 4 figures