{"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}
引用次数: 2
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.