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CLOSED-FORMTRANSFORMATIONSFROMRISK-NEUTRAL
TOREAL-WORLDDISTRIBUTIONS
XiaoquanLiu
MarkBShackleton
StephenJTaylor
and
XinzhongXu
DiscussionPaperNo.04-05
¥
Closed-formTransformationsfromRisk-neutralto
Real-worldDistributions
XiaoquanLiu*,MarkBShackleton*,
StephenJTaylor*andXinzhongXu**
*DepartmentofAccounting&Finance,LancasterUniversity
**GuanghuaSchoolofManagement,PekingUniversity
December2002
RevisedDecember2003
Contactinformationforcorrespondence:
StephenJTaylor,DepartmentofAccounting&Finance,ManagementSchool,
LancasterUniversity,EnglandLA14YX,telephone+441524593624,e-mail
S.Taylor@lancaster.ac.uk
1
Closed-formTransformationsfromRisk-neutralto
Real-worldDistributions
Abstract
Risk-neutral(RN)andreal-world(RW)densitiesarederivedfromoptionpricesand
riskassumptions,andarecomparedwithhistoricaldensitiesobtainedfromtime
series.TwoparametricmethodsthatadjustfromRNtoRWdensitiesaredeveloped,
firstlyaCRRAriskaversiontransformationandsecondlyastatisticalcalibration.
Bothrisktransformationsareestimatedusinglikelihoodtechniques,fortwoflexible
buttractableparametricdensityfamilies.ResultsfortheFTSE-100indexshowthat
parametricdensitiesderivedfromoptionpriceshavemoreexplanatorypowerthan
historicaldensities.Theparametricdensitiesalsohavehigherlikelihoodsthannon-
parametricdensitiesestimatedbysplinemethods.Furthermore,thepricingkernel
betweenRN&historicaldensitiesisonlyincompatiblewithariskaverse
representativeagentwhensplinemethodsprovidetheRNdensities.
2
Closed-formTransformationsfromRisk-neutralto
Real-worldDistributions
1.Introduction
Optionspricesprovidearichsourceofinformationforestimatingrisk-neutral
densities(RNDs)becauseacompletesetofstrikescanbeusedtoinferthe
distributionoftheunderlyingassetpricewhentheoptionsexpire.Asaresultmany
densityspecificationshavebeenestimatedfromoptionsprices.Parametric
specificationsincludeamixtureoflognormals[Ritchey(1990),MelickandThomas
(1997)]