异质投资组合中最大索赔金额的随机比较

IF 1.4 3区 数学 Q2 STATISTICS & PROBABILITY Statistica Neerlandica Pub Date : 2023-04-20 DOI:10.1111/stan.12296
Pradip Kundu, Amarjit Kundu, Biplab Hawlader
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引用次数: 1

摘要

本文研究了两组独立或相互依赖的投资组合在一定随机顺序下最大索赔额的随机比较问题。$$ {X}_i $$ (i=1,…,n$$ i=1,\dots, n $$ ),分布函数F(x;αi)$$ F\left(x;{\alpha}_i\right) $$ ,表示投资组合风险的索赔金额。这里比较两个最大的索赔金额,考虑索赔变量遵循一般的半参数分布族,其性质是生存函数F (x;α)$$ \overline{F}\left(x;\alpha \right) $$ 在α中增加$$ \alpha $$ 或在α中呈递增和凸/凹$$ \alpha $$ . 本文所得到的结果适用于一大类众所周知的分布,包括指数/广义分布族(如指数分布族、Weibull分布族、gamma分布族和Pareto分布族)、Rayleigh分布族和Marshall-Olkin分布族。作为一些主要定理的直接推论,我们也得到了分布的尺度族的结果。给出了几个数值算例来说明结果。
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Stochastic comparisons of largest claim amounts from heterogeneous portfolios
This paper investigates stochastic comparisons of largest claim amounts of two sets of independent or interdependent portfolios in the sense of some stochastic orders. Let random variable Xi$$ {X}_i $$ ( i=1,…,n$$ i=1,\dots, n $$ ) with distribution function F(x;αi)$$ F\left(x;{\alpha}_i\right) $$ , represents the claim amount for ith risk of a portfolio. Here two largest claim amounts are compared considering that the claim variables follow a general semiparametric family of distributions having the property that the survival function F‾(x;α)$$ \overline{F}\left(x;\alpha \right) $$ is increasing in α$$ \alpha $$ or is increasing and convex/concave in α$$ \alpha $$ . The results obtained in this paper apply to a large class of well‐known distributions including the family of exponentiated/generalized distributions (e.g., exponentiated exponential, Weibull, gamma and Pareto family), Rayleigh distribution and Marshall–Olkin family of distributions. As a direct consequence of some main theorems, we also obtained the results for scale family of distributions. Several numerical examples are provided to illustrate the results.
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来源期刊
Statistica Neerlandica
Statistica Neerlandica 数学-统计学与概率论
CiteScore
2.60
自引率
6.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Statistica Neerlandica has been the journal of the Netherlands Society for Statistics and Operations Research since 1946. It covers all areas of statistics, from theoretical to applied, with a special emphasis on mathematical statistics, statistics for the behavioural sciences and biostatistics. This wide scope is reflected by the expertise of the journal’s editors representing these areas. The diverse editorial board is committed to a fast and fair reviewing process, and will judge submissions on quality, correctness, relevance and originality. Statistica Neerlandica encourages transparency and reproducibility, and offers online resources to make data, code, simulation results and other additional materials publicly available.
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