{"title":"Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution","authors":"Valeria Bignozzi , Luca Merlo , Lea Petrella","doi":"10.1016/j.insmatheco.2024.02.001","DOIUrl":null,"url":null,"abstract":"<div><p>In the statistical and actuarial literature, <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-quantiles, <span><math><mi>p</mi><mo>∈</mo><mo>[</mo><mn>1</mn><mo>,</mo><mo>+</mo><mo>∞</mo><mo>)</mo></math></span>, represent an important class of risk measures defined through an asymmetric <em>p</em>-power loss function that generalize the classical (<span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-)quantiles. By exploiting inter-order relations between partial moments, we show that for a Student's <em>t</em> distribution with <span><math><mi>ν</mi><mo>∈</mo><mo>[</mo><mn>1</mn><mo>,</mo><mo>+</mo><mo>∞</mo><mo>)</mo></math></span> degrees of freedom the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>ν</mi><mo>−</mo><mi>j</mi></mrow></msub></math></span>-quantile and the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>j</mi><mo>+</mo><mn>1</mn></mrow></msub></math></span>-quantile always coincide for any <span><math><mi>j</mi><mo>∈</mo><mo>[</mo><mn>0</mn><mo>,</mo><mi>ν</mi><mo>−</mo><mn>1</mn><mo>]</mo></math></span>. For instance, for a Student's <em>t</em> distribution with 4 degrees of freedom, the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>4</mn></mrow></msub></math></span>-quantile and <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-quantile are equal and the same holds for the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>3</mn></mrow></msub></math></span>-quantile and <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-quantile; for this distribution, closed form expressions for the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-quantile, <span><math><mi>p</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>4</mn></math></span> are provided. Explicit formulas for the central moments are also established. The usefulness of exact formulas is illustrated on real-world financial data.</p></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"116 ","pages":"Pages 44-50"},"PeriodicalIF":1.9000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insurance Mathematics & Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167668724000222","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
In the statistical and actuarial literature, -quantiles, , represent an important class of risk measures defined through an asymmetric p-power loss function that generalize the classical (-)quantiles. By exploiting inter-order relations between partial moments, we show that for a Student's t distribution with degrees of freedom the -quantile and the -quantile always coincide for any . For instance, for a Student's t distribution with 4 degrees of freedom, the -quantile and -quantile are equal and the same holds for the -quantile and -quantile; for this distribution, closed form expressions for the -quantile, are provided. Explicit formulas for the central moments are also established. The usefulness of exact formulas is illustrated on real-world financial data.
期刊介绍:
Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world.
Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.