A local radial basis function method for high-dimensional American option pricing problems

dc.contributor.affiliationFacultad de Administración y Dirección de Empresas
dc.contributor.affiliationDepartamento de Matemática Aplicada
dc.contributor.affiliationInstituto Universitario de Matemática Multidisciplinar
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.authorCompany Rossi, Rafael
dc.contributor.authorEgorova, Veraes_ES
dc.contributor.authorJódar Sánchez, Lucas Antonio
dc.contributor.authorSoleymani, Fazlollahes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderMinisterio de Economía, Industria y Competitividades_ES
dc.date.accessioned2019-09-07T20:01:54Z
dc.date.available2019-09-07T20:01:54Z
dc.date.issued2018es_ES
dc.description.abstract[EN] In this work, we apply the local Wendland radial basis function (RBF) for solving the time-dependent multi dimensional option pricing nonlinear PDEs. Firstly, cross derivative terms of the PDE are removed with a change of spatial variables based in LDLT factorization of the di usion matrix. Then, it is discussed that the valuation of a multi-asset option up to 4D can be computed using a modi fied shape parameter algorithm. In fact, several experiments containing of three and four assets are worked out showing that the results of the presented method are in good agreement with the literature and could be much more accurate once the shape parameter is chosen carefully.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationCompany Rossi, R.; Egorova, V.; Jódar Sánchez, LA.; Soleymani, F. (2018). A local radial basis function method for high-dimensional American option pricing problems. Mathematical Modelling and Analysis. 23(1):117-138. https://doi.org/10.3846/mma.2018.008es_ES
dc.description.issue1es_ES
dc.description.sponsorshipThis work has been partially supported by the European Union in the FP7-PEOPLE-2012-ITN program under Grant Agreement Number 304617 (FP7 Marie Curie Action, Project Multi-ITN STRIKE-Novel Methods in Computational Finance) and the Ministerio de Economia y Competitividad Spanish grant MTM2013-41765-P.es_ES
dc.description.upvformatpfin138es_ES
dc.description.upvformatpinicio117es_ES
dc.description.volume23es_ES
dc.identifier.doi10.3846/mma.2018.008es_ES
dc.identifier.issn1392-6292es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/125214
dc.languageIngléses_ES
dc.publisherVilnius Gediminas Technical Universityes_ES
dc.relation.ispartofMathematical Modelling and Analysises_ES
dc.relation.pasarelaS\353497es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2013-41765-P/ES/METODOS COMPUTACIONALES PARA ECUACIONES DIFERENCIALES ALEATORIAS: TEORIA Y APLICACIONES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/304617/EU/Novel Methods in Computational Finance/es_ES
dc.relation.publisherversionhttp://doi.org/10.3846/mma.2018.008es_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectRadial basis functionses_ES
dc.subjectCross derivative eliminationes_ES
dc.subjectWendland functiones_ES
dc.subjectMulti-asset problemes_ES
dc.subjectAmerican option pricinges_ES
dc.subject.classificationMATEMATICA APLICADAes_ES
dc.titleA local radial basis function method for high-dimensional American option pricing problemses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier3406
person.identifier1074
person.identifier.orcid0000-0001-5217-1889
person.identifier.orcid0000-0002-9672-6249
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