Show simple item record

[journal article]

dc.contributor.authorMijatovic, Aleksandarde
dc.contributor.authorAlbanese, Claudiode
dc.contributor.authorLo, Harryde
dc.date.accessioned2011-02-23T03:55:00Zde
dc.date.accessioned2012-08-29T23:07:46Z
dc.date.available2012-08-29T23:07:46Z
dc.date.issued2009de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/22148
dc.description.abstractIn the first quarter of 2006 Chicago Board Options Exchange (CBOE) introduced, as one of the listed products, options on its implied volatility index (VIX). This created the challenge of developing a pricing framework that can simultaneously handle European options, forward-starts, options on the realized variance and options on the VIX. In this paper we propose a new approach to this problem using spectral methods. We use a regime switching model with jumps and local volatility defined in [1] and calibrate it to the European options on the S&P 500 for a broad range of strikes and maturities. The main idea of this paper is to “lift” (i.e. extend) the generator of the underlying process to keep track of the relevant path information, namely the realized variance. The lifted generator is too large a matrix to be diagonalized numerically. We overcome this difficulty by applying a new semi-analytic algorithm for block-diagonalization. This method enables us to evaluate numerically the joint distribution between the underlying stock price and the realized variance, which in turn gives us a way of pricing consistently European options, general accrued variance payoffs and forward-starting and VIX options.en
dc.languageende
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherVolatility modelling; Volatility smile fitting; Volatility surfaces; Stochastic volatility Quantitative finance
dc.titleSpectral methods for volatility derivativesen
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalQuantitative Financede
dc.source.volume9de
dc.publisher.countryGBR
dc.source.issue6de
dc.subject.classozEconomic Statistics, Econometrics, Business Informaticsen
dc.subject.classozWirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatikde
dc.subject.classozPolitical Economyen
dc.subject.classozVolkswirtschaftslehrede
dc.identifier.urnurn:nbn:de:0168-ssoar-221488de
dc.date.modified2011-02-23T15:02:00Zde
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.pageinfo663-692
internal.identifier.classoz10905
internal.identifier.classoz1090300
internal.identifier.document32
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.1080/14697680902773603de
dc.description.pubstatusPostprinten
dc.description.pubstatusPostprintde
internal.identifier.licence7
internal.identifier.pubstatus2
internal.identifier.review1
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record