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1、TherelationbetweenimpliedandrealisedvolatilityintheDAXindexoptionsmarketSilviaMuzzioliAbstract.Theaimofthispaperistoinvestigatetherelationbetweenimpliedvolatility,histor-icalvolatilityandrealisedvolatilityintheDAXindexoptionsmarket.Sinceimpliedvolatilityvariesacrossopt
2、iontype(callversusput)werunahorseraceofdifferentimpliedvolatilityestimates:impliedcallandimpliedput.TwohypothesesaretestedintheDAXindexoptionsmarket:unbiasednessandefficiencyofthedifferentvolatilityforecasts.Ourresultssuggestthatbothimpliedvolatilityforecastsareunbiased
3、(afteraconstantadjustment)andefficientforecastsoffuturerealisedvolatilityinthattheysubsumealltheinformationcontainedinhistoricalvolatility.Keywords:volatilityforecasting,Black-ScholesImpliedvolatility,put-callparity1IntroductionVolatilityisakeyvariableinoptionpricingmod
4、elsandriskmanagementtechniquesandhasdrawntheattentionofmanytheoreticalandempiricalstudiesaimedatassess-ingthebestwaytoforecastit.Amongthevariousmodelsproposedintheliteratureinordertoforecastvolatility,wedistinguishbetweenoption-basedvolatilityforecastsandtimeseriesvola
5、tilitymodels.Theformermodelsusepricesoftradedoptionsinordertounlockvolatilityexpectationswhilethelattermodelsusehistoricalin-formationinordertopredictfuturevolatility(following[17],inthissetwegrouppredictionsbasedonpaststandarddeviation,ARCHconditionalvolatilitymodelsa
6、ndstochasticvolatilitymodels).Manyempiricalstudieshavetestedtheforecastingpowerofimpliedvolatilityversusatimeseriesvolatilitymodel.Someearlycontributionsfindevidencethatimpliedvolatility(IV)isabiasedandinefficientforecastoffuturerealisedvolatility(seee.g.,[2,6,14]).Altho
7、ughtheresultsofsomeofthesestudies(e.g.,[6,14])areaffectedbyoverlappingsamples,asrecalledby[4],ormismatchingmaturitiesbetweentheoptionandthevolatilityfore-casthorizon,theyconstituteearlyevidenceagainsttheunbiasednessandinformationefficiencyofIV.Morerecently,severalpapers
8、analysetheempiricalperformanceofIVinvariousoptionmarkets,rangingfromindexes,futuresorindividualstocksandfindthatIVisun