条件边际期望短缺的Weissman型估计

IF 2 Q2 ECONOMICS
Yuri Goegebeur , Armelle Guillou , Nguyen Khanh Le Ho , Jing Qin
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引用次数: 5

摘要

边际预期缺口是金融和精算科学中的一个重要风险度量,最近已扩展到主要利益的随机变量与协变量一起观察的情况。这导致了条件边际预期短缺的概念,为此提出了一个估计器,允许在数据范围之外进行外推。利用经验过程自变量和多元极值理论,建立了该估计量的主要渐近性质。通过仿真实验对所提出的估计器的有限样本行为进行了评估,并在车险客户数据中说明了其实际适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Weissman-type estimator of the conditional marginal expected shortfall

The marginal expected shortfall is an important risk measure in finance and actuarial science, which has been extended recently to the case where the random variables of main interest are observed together with a covariate. This leads to the concept of conditional marginal expected shortfall for which an estimator is proposed allowing extrapolation outside the data range. The main asymptotic properties of this estimator have been established, using empirical processes arguments combined with the multivariate extreme value theory. The finite sample behavior of the proposed estimator is evaluated with a simulation experiment, and the practical applicability is illustrated on vehicle insurance customer data.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
84
期刊介绍: Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. It publishes research papers in all aspects of econometrics and statistics and comprises of the two sections Part A: Econometrics and Part B: Statistics.
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