{"title":"重尾分布中谱风险测度的l矩近似精度","authors":"A. Fallah, R. Kazemi, Sajedeh Alipour","doi":"10.1080/09720510.2022.2060614","DOIUrl":null,"url":null,"abstract":"Abstract This paper investigated the accuracy of linear-moment (L-moment) approximation for spectral risk measures (SRMs). The problem is considered in two cases of individual and aggregated loss measurements. The results showed that the absolute error of this approximation increases, in terms of a linear relation, when the loss goes to have a more heavy tail distribution. Therefore, due to the right skewed and heavy tail structure of the usual loss distributions in real word applications, using the L-moment approximation to estimate the SRMs leading to inaccurate estimation of spectral risk measures.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accuracy of L-moments approximation for spectral risk measures in heavy tail distributions\",\"authors\":\"A. Fallah, R. Kazemi, Sajedeh Alipour\",\"doi\":\"10.1080/09720510.2022.2060614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper investigated the accuracy of linear-moment (L-moment) approximation for spectral risk measures (SRMs). The problem is considered in two cases of individual and aggregated loss measurements. The results showed that the absolute error of this approximation increases, in terms of a linear relation, when the loss goes to have a more heavy tail distribution. Therefore, due to the right skewed and heavy tail structure of the usual loss distributions in real word applications, using the L-moment approximation to estimate the SRMs leading to inaccurate estimation of spectral risk measures.\",\"PeriodicalId\":270059,\"journal\":{\"name\":\"Journal of Statistics and Management Systems\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Statistics and Management Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09720510.2022.2060614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistics and Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09720510.2022.2060614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accuracy of L-moments approximation for spectral risk measures in heavy tail distributions
Abstract This paper investigated the accuracy of linear-moment (L-moment) approximation for spectral risk measures (SRMs). The problem is considered in two cases of individual and aggregated loss measurements. The results showed that the absolute error of this approximation increases, in terms of a linear relation, when the loss goes to have a more heavy tail distribution. Therefore, due to the right skewed and heavy tail structure of the usual loss distributions in real word applications, using the L-moment approximation to estimate the SRMs leading to inaccurate estimation of spectral risk measures.