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InQuestofthePhilosophers’Stone:NonlinearitiesandVolatilityinFinancialSeriesRenzoG.AvesaniDip.diSc.EconomicheUniv.diBresciaViaPorcellaga2125121Brescia,ItalyLuciaBuzzigoliDip.diStatistica\G.ParentiUniv.diFirenzeVialeMorgagni5950134Firenze,Italylucia@stat.ds.uni .itGiampieroM.Gallo EconomicsDepartmentEuropeanUniversityInstituteandDip.diStatistica\G.ParentiUniv.diFirenzeVialeMorgagni5950134Firenze,Italygallog@datacomm.iue.itRevisedVersion{March1996 ThanksareduetoB.Chiandotto,C.Giannini,R.Orsi,M.Salmon,andI.Viscofortheircom-ments,andtoBarbaraPaciniforherhelpinintroducingustothenon{andsemi{parametricworld.FinancialsupportfromtheMURSTandCNRisgratefullyacknowledged.1Contents1Introduction32ModelsfortheConditionalVariance92.1TheOriginalModel::::::::::::::::::::::::::112.2GARCH,IGARCHandGARCH-MModels:::::::::::142.3AFirstClassofExtensions:::::::::::::::::::::152.4ThePathtoMoreGeneralFormulations:::::::::::::182.5TheSecondGenerationModels:::::::::::::::::::192.6ModellingAsymmetricPatterns::::::::::::::::::202.6.1EGARCHModels:::::::::::::::::::::::202.6.2TGARCHModels:::::::::::::::::::::::222.6.3Alternativeproposals:::::::::::::::::::::232.7OtherExtensions::::::::::::::::::::::::::::262.8SomeConnections:::::::::::::::::::::::::::292.8.1BilinearProcesses:::::::::::::::::::::::312.8.2ARCHandBilinearProcesses:::::::::::::::333DerivativeApplications353.1OptionPricing:::::::::::::::::::::::::::::353.1.1TheOriginalBlackandScholesModel::::::::::353.1.2JumpRisk::::::::::::::::::::::::::::383.1.3StochasticVolatility::::::::::::::::::::::413.2InterestRatesTermStructure:::::::::::::::::::443.3ArbitrageBasedSolutionStrategies::::::::::::::::464Risk{RelatedMeasures485BlackBoxesandMoneyMachines515.1NeuralNetworks::::::::::::::::::::::::::::515.2TradingStrategies:::::::::::::::::::::::::::566SomeNon-concludingRemarks597TechnicalAppendix6221IntroductionAsurveyonTheEconomist(Oct.9th,1993)wasrecentlydedicatedtothefrontiersof nance,avirtualplacewhere nancialanalysts,statisticians,mathematicians,economists,computerscientistsandengineersmeettodevisenewtoolstostudythebehaviorof nancialmarkets.Therelationshipbetweenacademicresearchandoperationalactivityisadi cultoneinthis eld.Aturningpointinthisrelationship,andinthestyleof nancialmodellingtookplaceasaconsequenceofthecrashofinOctober1987,alsoknownastheendof nancialinnocence,aneventwhichmorethananyotherinrecenttimesalteredtheprevailingcreedofthe nancialcommunity:linearityandrationality.Thedi usion(andthesuccess)ofnonlinearmethodsofanalysisinthelastfewyearshasbeensowidespreadastowarrantalargeinvestmentintheareaby nancial3 rms.Computer{basedtradingandfundmanagementseemtobefast{growingareasofactivity:theobviousremarkisthatifitkeepsongoingitmustmeanthatthereispro tbehindit,thebestperformancediagnostics.Infact,secrecyaboutmethodolo-giesandresultsaccompaniessuccess;atmost,onehearsrumorsaboutastronomical guresgivenasbonusestothePh.D.inmathematicsworkinginthebasementoffamoustradingcompanies.Ontheotherhand,aprofusionofpapersaccompaniesagoodexplanatoryperformancein{samplebutadisappointingoneforforecasting.Itsu cestoquoteacommentoftenheardatacademicseminars,\Ifitworkedinforecasting,Iwouldnotbehere.Moreover,onthepartoftheoperatingunitsof nancialcompanies,thereisagenerallackofinterest,ifnotamistrust,forstatisticalproperties,asymptoticresultsandsoon:theinterestisfocusedonthenumbersthatatoolcanproduce.Formanyatraderablack{boxinthebacko ceisallthatsuf- ces:rather,whatsu cesisthatpushingabutton,itprovidesthemwiththerightsuggestions.Inthissurvey,wedonotintendtoandcannotproposeasurveyonallthetheor-iesandasummaryoftheempiricalresultsobtainedintherecentyears.Thepapergatherssomere ectionsandrecallssomeresultstoprovidethestageforfurtherre- ectionsanddiscussions.Weleftoutanumberofimportanttopics,mainlybecausethepaperwouldhaveleavenedbeyondreadability.Thus,nonlinearmodelsfortheexpectedvalueofaprocessconditionalonaninformationset,thetestsfornonlinear-ity,themodelsof(low{dimensional)deterministicchaoswhichinrecenttimeshavebeenstudiedtoproposeapredictablealternativetononlinearstochasticmodels(cf.Brock,HsiehandLeBaron,1991;DeGrauwe,DewachterandEmbrechts,1993),orthestudiesexploitingtheavailabilityofdataatveryhighfrequencies(GoodhartandFigliuoli,1991;Goodhartetal.,1993)willnotbedealtwithhereindetail,inspiteoftheirrelevancefortheissuesathand.Thedebateabouttheanalysisof nancialtime{seriesrevolvesaroundthecausesofthewidespreadbeliefthatthemarkete ciencyhypothesisshouldbeburied:itisrecognizedthatlinearmodelsareinadequatetounravelagents’decisionsastheyarere ectedinanassetprice.The owofinformation(virtuallycontinuous),thedi erent(andpossiblyasymmetric)reactionsbyagentstothearrivalofnews,theexistenceofatimescaleforagentsdi erentfromcalendartime(theso-calledtimedeformatione ect),theinteractionofpolicyactionsandtheformationofexpectationsinthemarketsareallelementsthatmayaccountforthefailureoflinearmodelstoexplainassetreturns.AcaseinpointisthementionedsurprisecausedbytheOctober1987crashwhichupsetinmanywaysthe nancialanalysts,notonlyfor
本文标题:In-Quest-of-the-Philosophers--Stone-Nonlinearities
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