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From a Hierarchy of Stochastic Differential Equations to a Hierarchy of Generalized Beta Distributions

Siqi Shao, R. A. Serota

arXiv 7 Oct 2026 · Econometrics

arXiv:2610.10476 · PDF · Extracted main text

Abstract

We introduce a mean-reverting stochastic differential equation with a three-component stochastic term and show that it generates a hierarchy of steady-state (stationary) distributions. At the top level, the hierarchy is described by a modified-Beta distribution, while one- and two-parameter reductions produce compact-support, power-law-tailed, and exponential-type limiting families within a single stochastic framework. We then construct two generalized extensions of this hierarchy. In the first, the power transformation is applied directly at the level of the stochastic differential equation; in the second, the same transformation is applied only after the stationary modified-Beta hierarchy has been obtained. While these two procedures agree on important lower branches and limiting cases they generally differ at the top level. The generalized hierarchy is therefore not unique: nonlinear transformation and stationary-state reduction do not commute. For both routes, we derive the probability density and cumulative distribution functions, express their parameters in terms of the underlying stochastic dynamics, clarify the relations among their limiting cases, and compare the resulting families with the traditional Generalized Beta framework.

Citation extraction

34
references
52
in-text mentions
34
distinct cited
3
self-citations
9,842
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Liu, J. and Serota, R. A (2023) Rethinking Generalized Beta family of distributions self1.00093100%
2NIST Digital Library of Mathematical Functions, https://dlmf.nist.gov0.87462100%
3McDonald, James B and Xu, Yexiao J (1995) A generlazition of the beta distribution with applications0.81142100%
4Dashti Moghaddam, M and Serota, RA (2021) Combined Mutiplicative-Heston Model for Stochastic Volatility0.73732100%
5Alexander, Carol and Cordeiro, Gauss M and Ortega Edwin M M and Sara… (2012) Generalized beta-generated distributions0.40511100%
6Alzaatrech, Ayman and Lee, Carl and Famoye, Felix (2013) A new method for generating families of continuous distributions0.40511100%
7(2018) Econometrics and Income Inequality0.40511100%
8Bouchaud, Jean-Philippe and Mézard, Marc (2000) Wealth condensation in a simple model of economy0.40511100%
9(2013) Econophysics of Income and Wealth Distributions0.40511100%
10(2008) Modeling Income Distributions and Lorenz Curves0.40511100%

Showing the top 10 of 34 scored citations.