{"title":"具有小贴现率的永续年金分布的近似","authors":"J. Blanchet, Peter W. Glynn","doi":"10.1002/nav.22058","DOIUrl":null,"url":null,"abstract":"Perpetuities (i.e., random variables of the form D=∫0∞e−Γ(t−)dΛ(t)$$ D={\\int}_0^{\\infty }{e}^{-\\Gamma \\left(t-\\right)}d\\Lambda (t) $$ play an important role in many application settings. We develop approximations for the distribution of D$$ D $$ when the “accumulated short rate process”, Γ$$ \\Gamma $$ , is small. We provide: (1) characterizations for the distribution of D$$ D $$ when Γ$$ \\Gamma $$ and Λ$$ \\Lambda $$ are driven by Markov processes; (2) general sufficient conditions under which weak convergence results can be derived for D$$ D $$ , and (3) Edgeworth expansions for the distribution of D$$ D $$ in the iid case and the case in which Λ$$ \\Lambda $$ is a Levy process and the interest rate is a function of an ergodic Markov process.","PeriodicalId":19120,"journal":{"name":"Naval Research Logistics (NRL)","volume":"163 1","pages":"454 - 471"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Approximations for the distribution of perpetuities with small discount rates\",\"authors\":\"J. Blanchet, Peter W. Glynn\",\"doi\":\"10.1002/nav.22058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Perpetuities (i.e., random variables of the form D=∫0∞e−Γ(t−)dΛ(t)$$ D={\\\\int}_0^{\\\\infty }{e}^{-\\\\Gamma \\\\left(t-\\\\right)}d\\\\Lambda (t) $$ play an important role in many application settings. We develop approximations for the distribution of D$$ D $$ when the “accumulated short rate process”, Γ$$ \\\\Gamma $$ , is small. We provide: (1) characterizations for the distribution of D$$ D $$ when Γ$$ \\\\Gamma $$ and Λ$$ \\\\Lambda $$ are driven by Markov processes; (2) general sufficient conditions under which weak convergence results can be derived for D$$ D $$ , and (3) Edgeworth expansions for the distribution of D$$ D $$ in the iid case and the case in which Λ$$ \\\\Lambda $$ is a Levy process and the interest rate is a function of an ergodic Markov process.\",\"PeriodicalId\":19120,\"journal\":{\"name\":\"Naval Research Logistics (NRL)\",\"volume\":\"163 1\",\"pages\":\"454 - 471\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Naval Research Logistics (NRL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/nav.22058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Naval Research Logistics (NRL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/nav.22058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
永续性(即D=∫0∞e−Γ(t−)dΛ(t) $$ D={\int}_0^{\infty }{e}^{-\Gamma \left(t-\right)}d\Lambda (t) $$形式的随机变量)在许多应用设置中起重要作用。当“累积短期利率过程”Γ $$ \Gamma $$很小时,我们对D $$ D $$的分布进行了近似。(1)给出了Γ $$ \Gamma $$和Λ $$ \Lambda $$受马尔可夫过程驱动时D $$ D $$的分布特征;(2)推导出D $$ D $$弱收敛结果的一般充分条件;(3)在iid情况和Λ $$ \Lambda $$是Levy过程且利率是遍历马尔可夫过程的函数的情况下,D $$ D $$分布的Edgeworth展开式。
Approximations for the distribution of perpetuities with small discount rates
Perpetuities (i.e., random variables of the form D=∫0∞e−Γ(t−)dΛ(t)$$ D={\int}_0^{\infty }{e}^{-\Gamma \left(t-\right)}d\Lambda (t) $$ play an important role in many application settings. We develop approximations for the distribution of D$$ D $$ when the “accumulated short rate process”, Γ$$ \Gamma $$ , is small. We provide: (1) characterizations for the distribution of D$$ D $$ when Γ$$ \Gamma $$ and Λ$$ \Lambda $$ are driven by Markov processes; (2) general sufficient conditions under which weak convergence results can be derived for D$$ D $$ , and (3) Edgeworth expansions for the distribution of D$$ D $$ in the iid case and the case in which Λ$$ \Lambda $$ is a Levy process and the interest rate is a function of an ergodic Markov process.