burgess phd thesis a computational methodology for modelling the dynamics of statistical arbitrage(1)外语英文电子书

burgess phd thesis a computational methodology for modelling the dynamics of statistical arbitrage(1)外语英文电子书

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时间:2018-03-02

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1、AComputationalMethodologyforModellingtheDynamicsofStatisticalArbitrageAndrewNeilBurgessDecisionTechnologyCentreDepartmentofDecisionSciencesAthesissubmittedtotheUniversityofLondonforthedegreeofDoctorofPhilosophyUNIVERSITYOFLONDONLONDONBUSINESSSCHOOL1O

2、ctober1999Tomyparents,ArnoldandCarol.©A.N.Burgess,199923AcknowledgementsThankstomysupervisor,PaulRefenes,forbringingmetoLBS,keepingmeinbreadandwater,helpingmewithideasandevenreadingthebloodything!ThankstopastandpresentcolleaguesattheNeuroforecastingU

3、nit/DecisionTechnologyCentre.EspeciallyYvesBentz,PeterBolland,JerryConnor,StefaniaPandelidaki,NevilleTowersandPeterSchreiner;fordiscussions,hardwork(notallthetime),companyandsixgoodyears.Alsoalltheex-CRLerswhoshowedthatevenarealjobcanstillbefun.Thank

4、stothevisitorstotheLBSgroup,FernandoandPaul,forgoodtimesandhardworkinLondon,HelsinkiandMelbourne.Thanksforthepeoplewhohelpedkeepitreal,especiallytoPratapSondhiforideasandsupportwhenhewasatCitibankatthebeginning;theothersponsorsoftheNeuroforecastingCl

5、ubandthentheDecisionTechnologyCentre;BothaandDerickdowninS.A.fortrustingmetobuildatradingsystem;andDavidandAndrewforalltheireffortsonbehalfofNewSciences.AlsotowhoeverfirstdecidedtoholdNIPSworkshopsatskiresorts;andtotheregularsatNNCM/CFconferences:Joh

6、nMoody,AndreasWeigend,HalWhite,YaserAbu-Mostafa,AndrewLoandBlakeLeBaroninparticularfortheirenthusiasmandinspiration.Finally,myloveandthankstoDeborah,whohadtoputupwithmewhilstIwaswritingup-andwhosephotographsofchromosomeshadtocompeteforcomputertimewit

7、hmyequitycurves.4AbstractRecentyearshaveseentheemergenceofamulti-disciplinaryresearchareaknownas“ComputationalFinance”.Inmanycasesthedatageneratingprocessesoffinancialandothereconomictime-seriesareatbestimperfectlyunderstood.Byallowingrestrictiveassu

8、mptionsaboutpricedynamicstoberelaxed,recentadvancesincomputationalmodellingtechniquesofferthepossibilitytodiscovernew“patterns”inmarketactivity.Thisthesisdescribesanintegrated“statisticalarbitrage”frameworkforidentifying,modellingandexploitingsmallbu

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