This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cases of possible misapplication. It notes, that a procedure for finding the smallest power to which observations need to be raised, such that the test rejects a hypothesis that the corresponding moment is finite, works poorly as an estimator of the tail index or moment estimator. This is the case especially for very low- and high-order moments. Several examples of correct usage of the test are also shown. The main result is derived analytically, and a Monte-Carlo experiment is presented
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The algorithmic principle of the bootstrap method is quite simple: reiterate the mechanism that prod...
This article unveils how the kernel block bootstrap method of Parente and Smith (2018a,2018b) can be...
This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cas...
Assumptions that a finite moment of the first, second, fourth or another or-der exists appear in man...
This paper proposes a test to verify whether the th moment of a random variable is finite. We use th...
This paper proposes a simple, fast and direct nonparametric test to verify if a sample is drawn from...
In this paper, we study the moment conditions of the kernel smoothing tests. By comparing the simila...
In this paper, we study the moment conditions of the kernel smoothing tests. By comparing the simila...
This paper considers the problem of testing a finite number of moment inequalities. We propose a two...
Tests based on generalized-method-of-moments estimators often have true levels that differ greatly f...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
We introduce the concept of the bootstrap discrepancy, which measures the difference in rejection pr...
Stock returns are often modeled as having infinite second or fourth moments, with consequences for t...
This paper provides a method for determining the exact finite sample properties of the bootstrap. Pr...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The algorithmic principle of the bootstrap method is quite simple: reiterate the mechanism that prod...
This article unveils how the kernel block bootstrap method of Parente and Smith (2018a,2018b) can be...
This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cas...
Assumptions that a finite moment of the first, second, fourth or another or-der exists appear in man...
This paper proposes a test to verify whether the th moment of a random variable is finite. We use th...
This paper proposes a simple, fast and direct nonparametric test to verify if a sample is drawn from...
In this paper, we study the moment conditions of the kernel smoothing tests. By comparing the simila...
In this paper, we study the moment conditions of the kernel smoothing tests. By comparing the simila...
This paper considers the problem of testing a finite number of moment inequalities. We propose a two...
Tests based on generalized-method-of-moments estimators often have true levels that differ greatly f...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
We introduce the concept of the bootstrap discrepancy, which measures the difference in rejection pr...
Stock returns are often modeled as having infinite second or fourth moments, with consequences for t...
This paper provides a method for determining the exact finite sample properties of the bootstrap. Pr...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The algorithmic principle of the bootstrap method is quite simple: reiterate the mechanism that prod...
This article unveils how the kernel block bootstrap method of Parente and Smith (2018a,2018b) can be...