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• W3104290969 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 population dynamics in the 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." @default.
• W3104290969 created "2020-11-23" @default.
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• W3104290969 date "2009-10-29" @default.
• W3104290969 modified "2023-09-24" @default.
• W3104290969 title "Statistical mixing and aggregation in Feller diffusion" @default.
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• W3104290969 doi "https://doi.org/10.1088/1742-5468/2009/10/p10023" @default.
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