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[journal article]

dc.contributor.authorEwald, Christian-Oliverde
dc.contributor.authorZhang, Aihuade
dc.date.accessioned2011-02-23T03:38:00Zde
dc.date.accessioned2012-08-29T23:07:07Z
dc.date.available2012-08-29T23:07:07Z
dc.date.issued2006de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/22081
dc.description.abstractWe discuss the application of gradient methods to calibrate mean reverting stochastic volatility models. For this we use formulas based on Girsanov transformations as well as a modification of the Bismut-Elworthy formula to compute the derivatives of certain option prices with respect to the parameters of the model by applying Monte Carlo methods. The article presents an extension of the ideas to apply Malliavin calculus methods in the computation of Greek's.en
dc.languageende
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherMonte Carlo Methods; Calibration of Stochastic Volatility; Derivative Pricing Models; Option Pricing via Simulation; Computational Finance; Stochastic Volatility; Financial Mathematics; Value at Risk
dc.titleA new Technique for Calibrating Stochastic Volatility Models: The Malliavin Gradient Methoden
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalQuantitative Financede
dc.source.volume6de
dc.publisher.countryGBR
dc.source.issue2de
dc.subject.classozBasic Research, General Concepts and History of Economicsen
dc.subject.classozEconomic Statistics, Econometrics, Business Informaticsen
dc.subject.classozWirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatikde
dc.subject.classozAllgemeines, spezielle Theorien und Schulen, Methoden, Entwicklung und Geschichte der Wirtschaftswissenschaftende
dc.identifier.urnurn:nbn:de:0168-ssoar-220813de
dc.date.modified2011-05-11T15:32:00Zde
dc.rights.licencePEER Licence Agreement (applicable only to documents from PEER project)de
dc.rights.licencePEER Licence Agreement (applicable only to documents from PEER project)en
ssoar.gesis.collectionSOLIS;ADISde
ssoar.contributor.institutionhttp://www.peerproject.eu/de
internal.status3de
dc.type.stockarticlede
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.rights.copyrightfde
dc.source.pageinfo147-158
internal.identifier.classoz10905
internal.identifier.classoz10901
internal.identifier.document32
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.1080/14697680500531676de
dc.subject.methodsTheorieanwendungde
dc.subject.methodstheory applicationen
dc.description.pubstatusPostprinten
dc.description.pubstatusPostprintde
internal.identifier.licence7
internal.identifier.methods15
internal.identifier.pubstatus2
internal.identifier.review1
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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