The art of fitting financial time series with Levy stable distributions

Physics – Data Analysis – Statistics and Probability

Scientific paper

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17 pages, 10 figures, 2 tables. Paper presented at the DDAP4 conference, Pohang, Korea, July 2006. Submitted to Journal of Kor

Scientific paper

This paper illustrates a procedure for fitting financial data with $\alpha$-stable distributions. After using all the available methods to evaluate the distribution parameters, one can qualitatively select the best estimate and run some goodness-of-fit tests on this estimate, in order to quantitatively assess its quality. It turns out that, for the two investigated data sets (MIB30 and DJIA from 2000 to present), an $\alpha$-stable fit of log-returns is reasonably good.

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