A note on portfolios of averages of lognormal variables

IF 1.9 2区 经济学 Q2 ECONOMICS Insurance Mathematics & Economics Pub Date : 2023-09-01 DOI:10.1016/j.insmatheco.2023.06.001
Phelim Boyle , Ruihong Jiang
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引用次数: 0

Abstract

This paper establishes conditions under which a portfolio consisting of the averages of K blocks of lognormal variables converges to a K-dimensional lognormal variable as the number of variables in each block increases. The associated block covariance matrix has to have a special structure where the correlations and variances within the block submatrices are equal. We show why the variance homogeneity assumption plays a key role in the derivation.

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关于对数正态变量平均值组合的一个注记
本文建立了一个条件,在该条件下,由对数正态变量的K个块的平均值组成的投资组合随着每个块中变量数量的增加而收敛为K维对数正态变数。相关联的块协方差矩阵必须具有特殊结构,其中块子矩阵内的相关性和方差相等。我们展示了为什么方差齐性假设在推导中起着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Insurance Mathematics & Economics
Insurance Mathematics & Economics 管理科学-数学跨学科应用
CiteScore
3.40
自引率
15.80%
发文量
90
审稿时长
17.3 weeks
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.
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