一致的开发模式

IF 1.6 3区 经济学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
W. Neuhaus
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引用次数: 0

摘要

传统的一般保险理赔估算具有事故年份队列和发展模式。对于即将实施的国际财务报告准则(IFRS) 17保险合同,以及通常用于再保险目的,索赔估计必须按合同年度划分。本文建议增加合同年作为队列分类器,并对发展模式进行相应调整。为此,我们采用了Hesselager和Norberg的连续时间模型。将合同年作为额外的队列分类器,按合同年和/或事故年显示索赔估计就变成了一个简单的跨适当维度的求和问题。连续时间模型还使我们能够为不同长度的离散时间间隔(如年和季度)推导出相互一致的发展模式。除了在离散时间内交付一致的开发模式之外,连续时间建模还提供了只需要固定数量的模型参数的优势。虽然本文中的大多数推导都是根据索赔数字来解释的,但这种机制也可以应用于索赔支付。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistent development patterns
Traditional claim estimation in general insurance works with accident year cohorts and development patterns. For the impending International Financial Reporting Standard (IFRS) 17 Insurance Contracts and often for reinsurance purposes, claim estimates must be split by contract year. This paper proposes to add contract year as a cohort classifier and to adjust the development patterns accordingly. To this end, we use the continuous time models of Hesselager and Norberg. Having contract year as an additional cohort classifier, display of claim estimates by contract year and/or accident year becomes a simple matter of summation across the appropriate dimensions. The continuous time model also enables us to derive mutually consistent development patterns for discrete time intervals of different length, such as years and quarters. In addition to delivering consistent development patterns in discrete time, continuous time modelling offers the advantage of requiring only a fixed number of model parameters. Although most of the derivations in this paper are explained in terms of claim numbers, the mechanics can also be applied to claim payments.
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来源期刊
Scandinavian Actuarial Journal
Scandinavian Actuarial Journal MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
3.30
自引率
11.10%
发文量
38
审稿时长
>12 weeks
期刊介绍: Scandinavian Actuarial Journal is a journal for actuarial sciences that deals, in theory and application, with mathematical methods for insurance and related matters. The bounds of actuarial mathematics are determined by the area of application rather than by uniformity of methods and techniques. Therefore, a paper of interest to Scandinavian Actuarial Journal may have its theoretical basis in probability theory, statistics, operations research, numerical analysis, computer science, demography, mathematical economics, or any other area of applied mathematics; the main criterion is that the paper should be of specific relevance to actuarial applications.
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