Convergence of Trimmed L\'evy Processes to Trimmed Stable Random Variables at 0
Abstract
Let (r,s)Xt be the L\'evy process Xt with the r largest jumps and s smallest jumps up till time t deleted and let (r) Xt be Xt with the r largest jumps in modulus up till time t deleted. We show that ((r,s)Xt - at)/bt or ((r) Xt - at)/bt converges to a proper nondegenerate nonnormal limit distribution as t 0 if and only if (Xt-at)/bt converges as t 0 to an α-stable random variable, with 0 <α<2 , where at and bt>0 are non stochastic functions in t. Together with the asymptotic normality case treated in fan2014an, this completes the domain of attraction problem for trimmed L\'evy processes at 0.
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