Statistical mixing and aggregation in Feller diffusion

Details Statistical mixing and aggregation in Feller diffusion Statistical mixing and aggregation in Feller diffusion

2009-10-08

arxiv.org/abs/0910.1394v1

J. Stat. Mech. (2009) P10023

Physics

Condensed Matter

Statistical Mechanics

16 pages, 3 figures. To be published in Journal of Statistical Mechanics: Theory and Experiment

Scientific paper

10.1088/1742-5468/2009/10/P10023

We consider Feller mean-reverting square-root diffusion, which has been applied to model a wide variety of processes with linearly state-dependent diffusion, such as stochastic volatility and interest rates in finance, and neuronal and populations dynamics in natural sciences. We focus on the statistical mixing (or superstatistical) process in which the parameter related to the mean value can fluctuate - a plausible mechanism for the emergence of heavy-tailed distributions. We obtain analytical results for the associated probability density function (both stationary and time dependent), its correlation structure and aggregation properties. Our results are applied to explain the statistics of stock traded volume at different aggregation scales.

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