On discrete stochastic processes with long-lasting time dependence

dc.creatorQueiros, Silvio M. Duarte
dc.date2008-06-16
dc.date2009-01-22
dc.date.accessioned2026-07-07T12:32:43Z
dc.date.available2026-07-07T12:32:43Z
dc.descriptionIn this manuscript, we analytically and numerically study statistical properties of an heteroskedastic process based on the celebrated ARCH generator of random variables whose variance is defined by a memory of $q_{m}$-exponencial, form ($e_{q_{m}=1}^{x}=e^{x}$). Specifically, we inspect the self-correlation function of squared random variables as well as the kurtosis. In addition, by numerical procedures, we infer the stationary probability density function of both of the heteroskedastic random variables and the variance, the multiscaling properties, the first-passage times distribution, and the dependence degree. Finally, we introduce an asymmetric variance version of the model that enables us to reproduce the so-called leverage effect in financial markets.
dc.description24 pages
dc.identifierhttps://arxiv.org/abs/0806.2617
dc.identifierhttp://arxiv.org/abs/0806.2617
dc.identifierEur. Phys. J. B 66, 137-148 (2008)
dc.identifierdoi:10.1140/epjb/e2008-00387-2
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/216878
dc.subjectData Analysis, Statistics and Probability
dc.subjectStatistical Mechanics
dc.subjectStatistical Finance
dc.titleOn discrete stochastic processes with long-lasting time dependence
dc.typetext

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