{"title":"Quantifying the non-Gaussian gain","authors":"David Allen, Stephen Satchell, Colin Lizieri","doi":"10.1057/s41260-023-00338-9","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we quantify the economic gain from accounting for departures from normality for the mean-variance (MV) investor. We provide two models that account for the key empirical regularities of financial returns: stochastic volatility, asymmetric returns, heavy tails and tail dependence. We show that accounting for departures from normality leads to significant gains in expected utility commensurate with or exceeding typical active management fees. The majority of the uplift in expected utility derives from accounting for stochastic volatility.</p>","PeriodicalId":45953,"journal":{"name":"Journal of Asset Management","volume":"7 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Asset Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41260-023-00338-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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Abstract
In this paper, we quantify the economic gain from accounting for departures from normality for the mean-variance (MV) investor. We provide two models that account for the key empirical regularities of financial returns: stochastic volatility, asymmetric returns, heavy tails and tail dependence. We show that accounting for departures from normality leads to significant gains in expected utility commensurate with or exceeding typical active management fees. The majority of the uplift in expected utility derives from accounting for stochastic volatility.
期刊介绍：
The Journal of Asset Management covers:new investment strategies, methodologies and techniquesnew products and trading developmentsimportant regulatory and legal developmentsemerging trends in asset managementUnder the guidance of its expert Editors and an eminent international Editorial Board, Journal of Asset Management has developed to provide an international forum for latest thinking, techniques and developments for the Fund Management Industry, from high-growth investment strategies to modelling and managing risk, from active management to index tracking. The Journal has established itself as a key bridge between applied academic research, commercial best practice and regulatory interests, globally.Each issue of Journal of Asset Management publishes detailed, authoritative briefings, analysis, research and reviews by leading experts in the field, to keep subscribers up to date with the latest developments and thinking in asset management.Journal of Asset Management covers:asset allocation hedge fund strategies risk definition and management index tracking performance measurement stock selection investment methodologies and techniques portfolio management and weighting product development and innovation active asset management style analysis strategies to match client profiles time horizons emerging markets alternative investments derivatives and hedging instruments pensions economics
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