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时间:2019-03-11
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1、AQuantumApproachtoStockPriceFluctuations†MartinSchadenNewYorkUniversity,4WashingtonPlace,NewYork,NewYork10003AbstractAsimplequantummodelexplainstheL´evy-unstabledistributionsforin-dividualstockreturnsobservedbyref.[1].Theprobabilitydensityfunc-tionofthereturnsiswrittenasthesquaredmodulusofan
2、amplitude.ForshorttimeintervalsthisamplitudeisproportionaltoaCauchy-distributionandsatisfiestheSchr¨odingerequationwithanon-hermitianHamiltonian.Theobservedpowerlawtailsofthereturnfluctuationsimplythatthe”decayrate”,γ(q)asymptoticallyisproportionalto
3、q
4、,forlarge
5、q
6、.Thewavenumberq,theFourier-co
7、njugatevariabletothereturnx,isinterpretedasaquantitativemeasureof”marketsentiment”.Onatimescaleoflessthanafewweeks,thedistributionofreturnsinthisquantummodelisshapestableandscales.Themodelquantitativelyreproducestheobservedcumulativedistributionfortheshort-termnor-malizedreturnsover7ordersof
8、magnitudewithoutadjustableparame-ters.ThereturnfluctuationsoverlargetimeperiodsultimaptelybecomeGaussianifγ(q∼0)∝q2.Theansatzγ(q)=b22Tm+qisfoundtodescribethepositivepartoftheobservedhistoricprobabilityofnormal-izedreturnsfortimeperiodsbetweenT=5minandT∼4yearsovermorethan4ordersofmagnitudeinte
9、rmsofoneadjustableparametersT=mbT∝T.TheSharperatioofastockinthismodelhasafi-nitelimitastheinvestmenthorizonT→0.Implicationsforshort-terminvestmentsarediscussed.1IntroductionThequestforaquantitativestatisticaldescriptionofstockpricesbeganmorethanacenturyagowithBachelier’sthesis2inwhichhedescri
10、bedpricemove-mentsbyarandomwalk.AlthoughBachelier’srandomwalkhassincebeenmodified,theefforttomodelstockpricemovementsbyastochasticprocesscontinues.Computerizedhistoricfinancialrecordshaverecentlymadeahigh-precisionstatisticalanalysisofshort-termreturnspossible.FortimescalesthatarXiv:physics/020
11、5053v2[physics.soc-ph]9May2003arelessthanafewweeksitisincreasinglydifficulttoreconcilethiswealthofnewinformationwiththeconjecturethatpricefluctuationsaredescribedbyastochasticprocesswithindependentandidenticallydistributedincrements(iid).†Emailaddress
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