A High-Moment Trapezoidal Fuzzy Random Portfolio Model with Background Risk

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摘要 Inmostexitingportfolioselectionmodels,securityreturnsareassumedtohaverandomorfuzzydistributions.However,uncertaintiesexistinactualfinancialmarkets.Marketsareassociatednotonlywithinherentrisk,butalsowithbackgroundriskthatresultsfromthedifferencesamongindividualinvestors.Thispaperinvestigatedthecomplianceofstockyieldstothefuzzy-naturedhigh-ordermomentsofrandomnumbersinordertodevelopahigh-momenttrapezoidalfuzzyrandomportfolioriskmodelbasedonvariance,skewness,andkurtosis.DataobtainedfromtheShanghaiStockExchangeandShenzhenStockExchangewasusedtoassesstheinfluenceontheproposedmodelofbothbackgroundriskandthemaximumlevelofsatisfactionoftheportfolio.Theempiricalresultsdemonstratedthatthedifferencesbetweenthemaximumandminimumvariance,skewness,andkurtosisvaluesoftheportfoliowerepositivelycorrelatedwiththevarianceofthebackgroundrisk.
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出版日期 2018年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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