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dc.contributor.authorCrosby, Johnde
dc.date.accessioned2011-02-23T03:43:00Zde
dc.date.accessioned2012-08-29T23:07:03Z
dc.date.available2012-08-29T23:07:03Z
dc.date.issued2008de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/22101
dc.description.abstractIn this paper, we develop an arbitrage-free model for the pricing of commodity derivatives. The model generates futures (or forward) commodity prices consistent with any initial term structure. The model is consistent with mean reversion in commodity prices and also generates stochastic convenience yields. Our model is a multi-factor jump-diffusion model, one specification of which allows the prices of long-dated futures contracts to jump by smaller magnitudes than short-dated futures contracts, which, to our knowledge, is a feature that has not previously appeared in the literature, in spite of it being in line with stylised empirical observations (especially for energy-related commodities). Our model also allows for stochastic interest-rates. The model produces semi-analytic solutions for standard European options, which enable option prices to be evaluated in typically about 1/50th of a second (depending upon parameter values and the required accuracy). This opens the possibility to calibrate the model parameters by deriving implied parameters from the market prices of options. We perform such a calibration on crude oil options and show that, allowing long-dated futures contracts to jump by smaller magnitudes than short-dated contracts, gives a greatly enhanced fit.en
dc.languageende
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherCommodity options; Commodity derivatives; Jump diffusion; Mean reversion
dc.titleA multi-factor jump-diffusion model for commoditiesen
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalQuantitative Financede
dc.source.volume8de
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-221019de
dc.date.modified2011-03-15T13:15:00Zde
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.pageinfo181-200
internal.identifier.classoz10905
internal.identifier.classoz10901
internal.identifier.document32
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.1080/14697680701253021de
dc.subject.methodsGrundlagenforschungde
dc.subject.methodsbasic researchen
dc.description.pubstatusPostprinten
dc.description.pubstatusPostprintde
internal.identifier.licence7
internal.identifier.methods8
internal.identifier.pubstatus2
internal.identifier.review1
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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