A Simple Nonparametric Test for the Existence of Finite Moments

Igor Fedotenkov
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引用次数: 3

Abstract

This paper proposes a simple, fast and direct nonparametric test to verify if a sample is drawn from a distribution with a finite first moment. The method can also be applied to test for the existence of finite moments of another order by taking the sample to the corresponding power. The test is based on the difference in the asymptotic behaviour of the arithmetic mean between cases when the underlying probability function either has or does not have a finite first moment. Test consistency is proved; then, test performance is illustrated with Monte-Carlo simulations and a practical application for the S&P500 index.
有限矩存在性的一个简单非参数检验
本文提出了一种简单、快速、直接的非参数检验方法,用于验证样本是否来自一阶矩有限的分布。该方法也可用于检验另一阶的有限矩是否存在,方法是将样本取相应的幂次。该检验是基于当潜在概率函数具有或不具有有限第一矩的情况之间算术平均值的渐近行为的差异。验证了试验一致性;然后,通过蒙特卡罗模拟和标准普尔500指数的实际应用说明了测试性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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