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Statistical mixing and aggregation in Feller diffusion

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  • Celia Anteneodo
  • Silvio M. Duarte Queiros

Abstract

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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  • Celia Anteneodo & Silvio M. Duarte Queiros, 2009. "Statistical mixing and aggregation in Feller diffusion," Papers 0910.1394, arXiv.org.
  • Handle: RePEc:arx:papers:0910.1394
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    1. Sarah-Kathryn McDonald, 1987. "Book review," Policy Sciences, Springer;Society of Policy Sciences, vol. 20(1), pages 77-79, April.
    2. T. Kaizoji & D. Sornette, 2008. "Market bubbles and crashes," Papers 0812.2449, arXiv.org.
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