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dc.contributor.authorCompany, Rafael
dc.contributor.authorEgorova, Vera 
dc.contributor.authorJódar, Lucas
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-05-22T09:41:42Z
dc.date.available2024-05-22T09:41:42Z
dc.date.issued2024-02-17
dc.identifier.issn2227-7390
dc.identifier.otherPID2019-107685RB-I00es_ES
dc.identifier.otherPDC2022-133115-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/32898
dc.description.abstractThis paper introduces the exponential time differencing (ETD) technique as a numerical method to efficiently solve vulnerable American options pricing. We address several challenges, including removing cross-derivative terms through appropriate transformations, treating early-exercise opportunities using the penalty method, and substituting fixed boundary conditions with corresponding one-sided finite differences. The proposed method is shown to be both accurate and efficient through numerical experiments, which also compare the results with existing methods and analyze the numerical stability and convergence rate.es_ES
dc.description.sponsorshipThis work was partially supported by the Spanish Ministry of Economy and Competitiveness MINECO through the project PID2019-107685RB-I00 and by the Spanish State Research Agency (AEI) through the project PDC2022-133115-I00.es_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceMathematics, 2024, 12(4), 602es_ES
dc.subject.otherVulnerable optionses_ES
dc.subject.otherDefault riskes_ES
dc.subject.otherExponential time differencinges_ES
dc.subject.otherPenalty methodes_ES
dc.titleAn ETD method for vulnerable American optionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107685RB-I00/ES/PREDICCION POR CONJUNTOS PARA EL PRONOSTICO DE LA PROPAGACION DE INCENDIOS FORESTALES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2022-133115-I00/ES/BE A BETTER DIGITAL FIRE-FIGHTER/es_ES
dc.identifier.DOI10.3390/math12040602
dc.type.versionpublishedVersiones_ES


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Mostrar el registro sencillo

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.