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ID:41220912
大小:64.48 KB
页数:11页
时间:2019-08-19
《STATISTICAL ARBITRAGE MODELS OF THE FTSE 100》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、STATISTICALARBITRAGEMODELSOFTHEFTSE100A.N.BURGESSDepartmentofDecisionScienceLondonBusinessSchoolSussexPlace,RegentsPark,London,NW14SA,UKE-mail:N.Burgess@lbs.ac.ukInthispaperwedescribeasetofstatisticalarbitragemodelswhichexploitrelativevaluerelationshipsamongsttheconstituentsoftheFTSE100.Ratherthane
2、stimatingcointegrationvectorsofhighdimensionality,astepwiseregressionapproachisusedtoidentifythemostappropriatesubspaceforthestochasticdetrendingofeachindividualequityprice.AMonteCarlosimulationisusedtoidentifytheempiricaldistributionoftheVarianceRatioprofileoftheregressionresiduals,underthenullhyp
3、othesisofrandomwalkbehaviour.Bothachi-squaredtestonthejointdistributionoftheVarianceRatioprofile,andadditionaltestsbasedonitseigenvectors,indicatethatasawholethestochasticallydetrendedstockpricesdeviatesignificantlyfromrandomwalkbehaviourandhencemaycontainpredictablecomponents.Acombinedcross-sectio
4、nalandtime-seriesmodelindicatesthattherelative“mispricing”oftheequitiestendstotrendintheshort-termandrevertinthelongerterm.Theout-of-sampleperformanceofthemodelsisconsistentlyprofitableusingasimpletradingrule,withthecombinedportfoliosuggestingapossibleannualisedSharpeRatioofover7foratraderwithcosts
5、of50basispoints.Furthermore,informationderivedfromthein-samplevarianceratioprofileisshowntobesignificantlycorrelatedwiththeout-of-sampleprofitabilityoftheindividualmodels–suggestingthattheperformancemaybeimprovedfurtherbymodellingthetime-seriespropertiesconditionallyonsuchinformation.1IntroductionI
6、nmanycasesthevolatilityinassetreturnsislargelyduetomovementswhicharemarket-wideorevenworld-wideinnatureratherthanspecificcharacteristicsoftheparticularasset;consequentlythereisariskthatthis“marketnoise”willovershadowanypredictablecomponentofassetreturns.Anumberofauthorshaverecentlysuggestedapproach
7、eswhichattempttoreducethiseffectbysuitablytransformingthefinancialtime-series.LoandMacKinley(1995)create“maximallypredictable”portfoliosofassets,withrespecttoaparticularinformationset.Bentzetal(1996),useamo
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