非寿险准备金风险分布偏度估计的封闭公式

Eric Dal Moro
{"title":"非寿险准备金风险分布偏度估计的封闭公式","authors":"Eric Dal Moro","doi":"10.2139/ssrn.2344297","DOIUrl":null,"url":null,"abstract":"In the same spirit as the Mack standard deviation for non-life reserves, which can be estimated with a closed-form formula applied to a loss development triangle (see Mack 1993), this article introduces a closed-form formula to estimate the skewness of non-life reserves which can also be applied to a loss development triangle. This closed-form formula is tested on 41 triangles and estimators of skewness per different lines of business are derived. These estimators are used to calibrate skew-normal and Generalized Extreme Value (\"GEV\") distributions for a fictitious reinsurance company so that a capital amount related to the reserve risk of this company using an internal model is calculated. This capital amount is then compared to the capital amount which would result from the use of lognormal distributions instead of skew-normal or GEV distributions. An excel sheet developed to estimate the presented closed-form formula is available on the internet.","PeriodicalId":23435,"journal":{"name":"UNSW Business School Research Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Closed-Form Formula for the Skewness Estimation of Non-Life Reserve Risk Distribution\",\"authors\":\"Eric Dal Moro\",\"doi\":\"10.2139/ssrn.2344297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the same spirit as the Mack standard deviation for non-life reserves, which can be estimated with a closed-form formula applied to a loss development triangle (see Mack 1993), this article introduces a closed-form formula to estimate the skewness of non-life reserves which can also be applied to a loss development triangle. This closed-form formula is tested on 41 triangles and estimators of skewness per different lines of business are derived. These estimators are used to calibrate skew-normal and Generalized Extreme Value (\\\"GEV\\\") distributions for a fictitious reinsurance company so that a capital amount related to the reserve risk of this company using an internal model is calculated. This capital amount is then compared to the capital amount which would result from the use of lognormal distributions instead of skew-normal or GEV distributions. An excel sheet developed to estimate the presented closed-form formula is available on the internet.\",\"PeriodicalId\":23435,\"journal\":{\"name\":\"UNSW Business School Research Paper Series\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"UNSW Business School Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2344297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"UNSW Business School Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2344297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

非寿险储备的Mack标准差可以用一个适用于损失发展三角的封闭公式来估计(参见Mack 1993),本文与Mack标准差的精神相同,引入了一个封闭公式来估计非寿险储备的偏度,该公式也可以应用于损失发展三角。这个封闭形式的公式在41个三角形上进行了测试,并推导了每个不同业务线的偏度估计。这些估计器用于校准一个虚构的再保险公司的偏正态分布和广义极值(“GEV”)分布,以便使用内部模型计算与该公司准备金风险相关的资本金额。然后将该资本额与使用对数正态分布而不是斜正态分布或GEV分布所产生的资本额进行比较。在互联网上可以找到一个用于估计所提出的封闭形式公式的excel表格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Closed-Form Formula for the Skewness Estimation of Non-Life Reserve Risk Distribution
In the same spirit as the Mack standard deviation for non-life reserves, which can be estimated with a closed-form formula applied to a loss development triangle (see Mack 1993), this article introduces a closed-form formula to estimate the skewness of non-life reserves which can also be applied to a loss development triangle. This closed-form formula is tested on 41 triangles and estimators of skewness per different lines of business are derived. These estimators are used to calibrate skew-normal and Generalized Extreme Value ("GEV") distributions for a fictitious reinsurance company so that a capital amount related to the reserve risk of this company using an internal model is calculated. This capital amount is then compared to the capital amount which would result from the use of lognormal distributions instead of skew-normal or GEV distributions. An excel sheet developed to estimate the presented closed-form formula is available on the internet.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信