Physics – Computational Physics
Scientific paper
2004-03-12
Physica A 366, 387-400 (2006)
Physics
Computational Physics
20 pages (pdf) with 12 figures
Scientific paper
10.1016/j.physa.2005.10.015
We introduce a new statistical tool (the TP-statistic and TE-statistic) designed specifically to compare the behavior of the sample tail of distributions with power-law and exponential tails as a function of the lower threshold u. One important property of these statistics is that they converge to zero for power laws or for exponentials correspondingly, regardless of the value of the exponent or of the form parameter. This is particularly useful for testing the structure of a distribution (power law or not, exponential or not) independently of the possibility of quantifying the values of the parameters. We apply these statistics to the distribution of returns of one century of daily data for the Dow Jones Industrial Average and over one year of 5-minutes data of the Nasdaq Composite index. Our analysis confirms previous works showing the tendency for the tails to resemble more and more a power law for the highest quantiles but we can detect clear deviations that suggest that the structure of the tails of the distributions of returns is more complex than usually assumed; it is clearly more complex that just a power law.
Pisarenko V. F.
Sornette Didier
No associations
LandOfFree
New statistic for financial return distributions: power-law or exponential? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with New statistic for financial return distributions: power-law or exponential?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and New statistic for financial return distributions: power-law or exponential? will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-161753