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dc.contributor.authorBaamonde-Seoane, María A.
dc.contributor.authorCalvo-Garrido, María-del-Carmen
dc.contributor.authorVázquez, Carlos
dc.date.accessioned2023-03-28T12:27:34Z
dc.date.available2023-03-28T12:27:34Z
dc.date.issued2023-04
dc.identifier.citationBaamonde-Seoane, M. A., del Carmen Calvo-Garrido, M., & Vázquez, C. (2023). Model and numerical methods for pricing renewable energy certificate derivatives. Communications in Nonlinear Science and Numerical Simulation, 118, 107066. 10.1016/j.cnsns.2022.107066es_ES
dc.identifier.urihttp://hdl.handle.net/2183/32794
dc.description.abstract[Abstract]: Assuming that the price of the renewable energy certificate (REC) is known, we formulate the valuation problem of a European REC derivative in terms of a linear PDE model where the underlying stochastic factors are the accumulated green certificates sold by an authorized producer and the natural logarithm of the renewable generation rate. Next, a result of existence of solution is obtained for this PDE problem. In order to solve numerically the PDE problem, we propose two different methods: a semi-Lagrangian scheme in time combined with finite differences discretizations in the spatial-like variables, or alternative Lagrange–Galerkin methods. The application to the pricing of European options and futures on renewable energy certificates is addressed. Finally, we show illustrative results about the performance of the models and numerical methods that have been implemented.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2018/033es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2022/047es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipThis work has been funded by MICINN from Spain (Grant PID2019-10858RB-I00), and by Xunta of Galicia (Grant ED431C 2018/033 and ED431C 2022/047), all including FEDER financial co-funding. All authors are members of CITIC, so that they acknowledge grant ED431G 2019/01, funded by Consellería de Educación, Universidade e Formación Profesional of Xunta de Galicia through FEDER, Spain funds with 80%, from FEDER Galicia 2014–2020 Program and 20% from Secretaría Xeral de Universidades. Funding for open access charge: Universidade da Coruña/CISUG. Authors are also grateful to two anonymous reviewers whose remarks helped to improve the article.es_ES
dc.language.isoenges_ES
dc.publisherElsevier B.V.es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDI2019-108584RB-I00/ES/METODOS MATEMATICOS Y COMPUTACIONALES PARA NUEVOS RETOS EN FINANZAS CUANTITATIVAS, MEDIAMBIENTE, BIOTECNOLOGIA E INGENIERIAes_ES
dc.relation.urihttps://doi.org/10.1016/j.cnsns.2022.107066es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectRenewable energy certificateses_ES
dc.subjectGreen certificateses_ES
dc.subjectREC derivativeses_ES
dc.subjectLinear PDEes_ES
dc.subjectCrank–Nicolsones_ES
dc.subjectLagrange–Galerkin methodes_ES
dc.titleModel and numerical methods for pricing renewable energy certificate derivativeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleCommunications in Nonlinear Science and Numerical Simulationes_ES
UDC.volume118es_ES
UDC.issueApriles_ES


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