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时间:2020-05-21
《VaR值计算-参数、半参、非参.doc》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、CalculateVaRusingthreemethods:Parametric,NonparametricandSemiparametricAbstractValueatrisk(VAR)isastatisticalmeasurementoftotalportfoliorisk,takenastheworstlossataspecificconfidenceleveloverthehorizon.VaRisthedollarorpercentagelossinportfolio(asset)valuethatwillbeequaledorexceededonlyXpercentofthe
2、time.Inotherwords,thereisanXpercentprobabilitythatthelossinportfoliovaluewillbeequaltoorgreaterthantheVaRmeasure.TocalculatetheVaR,therearethreemethods:parametric,nonparametricandsemiparametric.CalculatingparametricVaRisasimplematterbutrequiresassumingthatassetreturnsconformtoastandardnormaldistri
3、bution.WeusuallyusehistoricalsimulationmethodasnonparametricmethodtoestimateVaR.Thismethodjustusehistoricaldata,andwedon’tneedtoknowthedistributionoftheassetreturn.Thedistributionisinthedata.Semiparametricmethodisahybridmethod.ItusebothparametricandnonparametricmethodstoestimateVaR.Afterusingnonpa
4、rametricestimatingVaR,weassumethattheassetreturndensityhasapolynomialefttail,andthetailindexisa.thesemiparametricmodelcombingparametricandnonparametriccomponents.Threemethodshavetheiradvantagesanddisadvantages,wecalculateVaRusingthesemethodsandcontrasttheresultswithoutbacktesting.Butweuset-testtof
5、indifthereexistasignificantdifferencebetweenthethree.Andwefoundthatthesethreeshavenosignificantdifference.Keywords:VaR,parametric,nonparametric,semiparametric1.IntroductionInthisdecadeValueatRisk(VaR)hasbecameaverypopularmeasureofmarketrisk.VaRisthelossontheportfoliothatwillnotbeexceededwithaspeci
6、fiedprobabilityoveraspecifiedtimehorizon.VaRisanextremelypowerfulriskmeasure,becauseitcanbecalculatedassuminganykindofdistributionsofportfolioreturns.VaRwasdevelopedasanefficient,inexpensivemethodtodetermineeconomicriskexposureofbankswithcomplexdiversifiedassetsholding.ThemethodtoestimateVaRareoft
7、enasfollowing:parametric,nonprarmetric,semiparametric.ParametricsimulationforestimatingVaRrequirestheassumptionofanormaldistribution.Thisisbecausethemethodutilizestheexpectedreturnandstandarddeviationreturns.Nonp
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