Convergence of Trimmed Lévy Processes to Trimmed Stable Random Variables at
arXiv:1503.05290 · doi:10.1016/j.spa.2015.04.005
Abstract
Let be the Lévy process with the largest jumps and smallest jumps up till time deleted and let be with the largest jumps in modulus up till time deleted. We show that or converges to a proper nondegenerate nonnormal limit distribution as if and only if converges as to an -stable random variable, with , where and are non stochastic functions in . Together with the asymptotic normality case treated in \cite{fan2014an}, this completes the domain of attraction problem for trimmed Lévy processes at .
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