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dc.contributor.authorCalvo-Garrido, María-del-Carmen
dc.contributor.authorVázquez, Carlos
dc.contributor.authorEhrhardt, Matthias
dc.date.accessioned2024-01-29T16:50:31Z
dc.date.available2024-01-29T16:50:31Z
dc.date.issued2019
dc.identifier.citationCalvo-Garrido, M. C., Ehrhardt, M., & Vázquez, C. (2019). Jump-diffusion models with two stochastic factors for pricing swing options in electricity markets with partial-integro differential equations. Applied Numerical Mathematics, 139, 77-92. https://doi.org/10.1016/j.apnum.2019.01.001es_ES
dc.identifier.urihttp://hdl.handle.net/2183/35195
dc.description.abstract[Abstract] In this paper we consider the valuation of swing options with the possibility of incorporating spikes in the underlying electricity price. This kind of contracts are modelled as path dependent options with multiple exercise rights. From the mathematical point of view the valuation of these products is posed as a sequence of free boundary problems where two consecutive exercise rights are separated by a time period. Due to the presence of jumps, the complementarity problems are associated with a partial-integro differential operator. In order to solve the pricing problem, we propose appropriate numerical methods based on a Crank–Nicolson semi-Lagrangian method for the time discretization of the differential part of the operator, jointly with the explicit treatment of the integral term by using the Adams–Bashforth scheme and combined with biquadratic Lagrange finite elements for space discretization. In addition, we use an augmented Lagrangian active set method to cope with the early exercise feature. Moreover, we employ appropriate artificial boundary conditions to treat the unbounded domain numerically. Finally, we present some numerical results in order to illustrate the proper behaviour of the numerical schemes.es_ES
dc.description.sponsorshipThis work has been partially funded by MINECO of Spain (Project MTM2016-76497-R), Xunta de Galicia grants GRC2014/044 and ED431C 2018/33, including FEDER funds, and Bilateral German–Spanish DAAD Project No 57049700 HiPeCa: High Performance Calibration and Computation in Finance, Programme Acciones Conjuntas Hispano-Alemanas funded by German DAAD and the Fundación Universidad.es_ES
dc.description.sponsorshipXunta de Galicia; GRC2014/044es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2018/33es_ES
dc.description.sponsorshipGermany. German Academic Exchange Service; 57049700es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationInfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2016-76497-R /ES/es_ES
dc.relation.urihttps://doi.org/10.1016/j.apnum.2019.01.001es_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC-BY-NC-ND)es_ES
dc.rights© 2019 IMACS. Published by Elsevier B.V. All rights reserved.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSwing optionses_ES
dc.subjectElectricity pricees_ES
dc.subjectJump-diffusion modelses_ES
dc.subjectAugmented Lagrangian Active Set (ALAS) formulationes_ES
dc.subjectSemi-Lagrangian methodes_ES
dc.subjectBiquadratic Lagrange finite elementses_ES
dc.subjectArtificial boundary conditionses_ES
dc.titleJump-diffusion models with two stochastic factors for pricing swing options in electricity markets with partial-integro differential equationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleApplied Numerical Mathematicses_ES
UDC.volume139es_ES
UDC.startPage77es_ES
UDC.endPage92es_ES
dc.identifier.doihttps://doi.org/10.1016/j.apnum.2019.01.001


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