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dc.contributor.authorCompany Rossi, Rafael
dc.contributor.authorEgorova, Vera 
dc.contributor.authorJódar Sánchez, Lucas
dc.contributor.authorFuster Valls, Ferran
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2021-01-13T08:42:02Z
dc.date.available2021-01-13T08:42:02Z
dc.date.issued2020-07-20
dc.identifier.issn1526-1492
dc.identifier.issn1526-1506
dc.identifier.otherMTM2017-89664-Pes_ES
dc.identifier.urihttp://hdl.handle.net/10902/20317
dc.description.abstractA numerical method for American options pricing on assets under the Heston stochastic volatility model is developed. A preliminary transformation is applied to remove the mixed derivative term avoiding known numerical drawbacks and reducing computational costs. Free boundary is treated by the penalty method. Transformed nonlinear partial differential equation is solved numerically by using the method of lines. For full discretization the exponential time differencing method is used. Numerical analysis establishes the stability and positivity of the proposed method. The numerical convergence behaviour and effectiveness are investigated in extensive numerical experiments.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish Ministerio de Economía, Industria y Competitividad (MINECO), the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER UE) grant MTM2017-89664-P.es_ES
dc.format.extent16 p.es_ES
dc.language.isoenges_ES
dc.publisherTech Science Presses_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceComputer Modeling in Engineering & Sciences, 2020, 124(2), 493-508es_ES
dc.subject.otherHeston modeles_ES
dc.subject.otherAmerican option pricinges_ES
dc.subject.otherExponential time differencinges_ES
dc.subject.otherSemi-discretizationes_ES
dc.titleAn ETD method for American options under the Heston modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.32604/cmes.2020.010208
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International