{"title":"Remember to Diversify Your Active Risk: Evidence from US Equity ETFs","authors":"Benjamin Herzog, Jenna Jones, Shahyar Safaee","doi":"10.3905/jbis.2023.1.033","DOIUrl":null,"url":null,"abstract":"In this article, the authors estimate the level of risk diversification for a universe of US equity exchange-traded funds (ETFs) and observe the benefits of diversification for the budgeting of active risk relative to a cap-weighted benchmark. They first introduce a risk model that needs only historical returns to break down relative risk into individual factor-related risk contributions, thus allowing for the construction of a measure of concentration directly inspired by the equally weighted risk contribution concept. They then use this concentration measure to highlight the impact of diversification on tracking-error stability and find conclusive empirical evidence that US equity ETFs that have a diversified set of systematic active risk contributions have a more stable tracking error (TE). These results suggest that investors seeking a stable TE for active risk–budgeting purposes may benefit from selecting ETFs with a strong level of risk diversification.","PeriodicalId":284314,"journal":{"name":"The Journal of Beta Investment Strategies","volume":"12 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Beta Investment Strategies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jbis.2023.1.033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, the authors estimate the level of risk diversification for a universe of US equity exchange-traded funds (ETFs) and observe the benefits of diversification for the budgeting of active risk relative to a cap-weighted benchmark. They first introduce a risk model that needs only historical returns to break down relative risk into individual factor-related risk contributions, thus allowing for the construction of a measure of concentration directly inspired by the equally weighted risk contribution concept. They then use this concentration measure to highlight the impact of diversification on tracking-error stability and find conclusive empirical evidence that US equity ETFs that have a diversified set of systematic active risk contributions have a more stable tracking error (TE). These results suggest that investors seeking a stable TE for active risk–budgeting purposes may benefit from selecting ETFs with a strong level of risk diversification.