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基于VaR和集中度约束的贷款组合优化模型 Title:PortfolioOptimizationModelwithVaRandConcentrationConstraintsforLending Abstract: Portfoliooptimizationisacriticaltaskinthefinanceindustry,especiallyforlendinginstitutionsseekingtomaximizetheirprofitswhilemanagingrisk.VaR(ValueatRisk)isawidelyusedriskmeasurethatallowslenderstoestimatethepotentiallossoftheirportfoliowithinagivenconfidencelevel.Concentrationconstraints,ontheotherhand,aimtolimittheexposuretoaspecificborrowerorsector,therebyreducingthelikelihoodoflargelosses.ThispaperpresentsaportfoliooptimizationmodelthatincorporatesVaRandconcentrationconstraints,providinganeffectivetoolforlenderstooptimizetheirloanportfolios. 1.Introduction Thelendingindustryoperatesinadynamicandvolatilemarket,makingitnecessaryforlenderstoadoptsophisticatedriskmanagementandportfoliooptimizationstrategies.Thetraditionalmean-varianceportfoliooptimizationframeworkonlyconsiderstheexpectedreturnandvolatilityoftheportfolio,neglectingthepotentialextremelosses.VaRisariskmeasurethataddressesthislimitation,providinglenderswithametrictoestimatetheworst-caselossatagivenconfidencelevel.Concentrationconstraintsaimtolimittheexposuretoindividualborrowersorsectorstopreventexcessiveriskconcentration.ThispaperproposesanovelportfoliooptimizationmodelthatintegratesVaRandconcentrationconstraints,offeringacomprehensiveapproachtoloanportfoliomanagement. 2.LiteratureReview AcomprehensivereviewofexistingliteratureonportfoliooptimizationmodelsincorporatingVaRandconcentrationconstraintsispresented.Variousapproaches,suchasMean-CVaR(ConditionalValueatRisk)andCVaR(ExpectedShortfall),havebeenproposedtoenhanceportfolioriskmanagement.Concentrationconstraintshavealsobeenexploredinthecontextofloanportfoliomanagement,withstudiesfocusingonsectoraldiversificationandcreditriskmanagement.ThissectionhighlightstheneedforanintegratedmodelthateffectivelycombinesVaRandconcentrationconstraintsforloanportfoliooptimization. 3.PortfolioOptimizationModel Theproposedportfoliooptimizationmodelutilizesnonlinearp
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