Systems with Correlations in the Variance: Generating Power-Law Tails in Probability Distributions

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, five figures. To appear in Europhysics Letters (2000)

Scientific paper

10.1209/epl/i2000-00540-7

We study how the presence of correlations in physical variables contributes to the form of probability distributions. We investigate a process with correlations in the variance generated by (i) a Gaussian or (ii) a truncated L\'{e}vy distribution. For both (i) and (ii), we find that due to the correlations in the variance, the process ``dynamically'' generates power-law tails in the distributions, whose exponents can be controlled through the way the correlations in the variance are introduced. For (ii), we find that the process can extend a truncated distribution {\it beyond the truncation cutoff}, which leads to a crossover between a L\'{e}vy stable power law and the present ``dynamically-generated'' power law. We show that the process can explain the crossover behavior recently observed in the $S&P500$ stock index.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Systems with Correlations in the Variance: Generating Power-Law Tails in Probability Distributions 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 Systems with Correlations in the Variance: Generating Power-Law Tails in Probability Distributions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems with Correlations in the Variance: Generating Power-Law Tails in Probability Distributions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-270678

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.