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dc.contributor.authorCalvo-Garrido, María-del-Carmen
dc.contributor.authorVázquez, Carlos
dc.contributor.authorEhrhardt, Matthias
dc.date.accessioned2024-01-30T15:06:43Z
dc.date.available2024-01-30T15:06:43Z
dc.date.issued2017
dc.identifier.citationCalvo-Garrido, M.C., Ehrhardt, M. & Vázquez, C. (2017) Pricing swing options in electricity markets with two stochastic factors using a partial differential equations approach, Journal of Computational Finance, 20 (2017), 3, 81-107. https://doi.org/10.21314/JCF.2016.317es_ES
dc.identifier.urihttp://hdl.handle.net/2183/35239
dc.description.abstract[Abstract] In this paper, we consider the numerical valuation of swing options in electricity markets based on a two-factor model. These kinds of contracts are modeled as pathdependent options with multiple exercise rights. From a mathematical point of view, the valuation of these products is posed as a sequence of free boundary problems, where two exercise rights are separated by a time period. In order to solve the pricing problem, we propose appropriate numerical methods based on a Crank–Nicolson semi-Lagrangian method combined with biquadratic Lagrange finite elements for the discretization of the partial differential equation. In addition, we use an augmented Lagrangian active set method to cope with the early exercise feature when it appears. Moreover, we derive appropriate artificial boundary conditions to treat the unbounded domain numerically. Finally, we present some numerical results to illustrate the proper behavior of the numerical schemes.es_ES
dc.description.sponsorshipThis work has been partly funded by MINECO of Spain (Project MTM2013-47800-C2-1-P), by MICINN of Spain (FPI grant BES- 2011-044746) and by the German Federal Ministry of Education and Research (Project 57049700 2014 DAAD).es_ES
dc.description.sponsorshipGermany. Federal Ministry of Education and Research; 57049700 2014 DAADes_ES
dc.language.isoenges_ES
dc.relationInfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2013-47800-C2-1-P/ES/MODELADO MATEMATICO, ANALISIS Y SIMULACION NUMERICA DE PROBLEMAS EN FINANZAS Y SEGUROS, PROCESOS INDUSTRIALES, BIOTECNOLOGIA Y MEDIOAMBIENTEes_ES
dc.relationInfo:eu-repo/grantAgreement/MCINN/ Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2013-47800-C2-1-P/ES/ MODELADO MATEMATICO, ANALISIS Y SIMULACION NUMERICA DE PROBLEMAS EN FINANZAS Y SEGUROS, PROCESOS INDUSTRIALES, BIOTECNOLOGIA Y MEDIOAMBIENTEes_ES
dc.relation.urihttps://doi.org/10.21314/JCF.2016.317es_ES
dc.rightsCopyright © 2016 Incisive Risk Information (IP) Limitedes_ES
dc.subjectSwing optionses_ES
dc.subjectElectricity Pricees_ES
dc.subjectAugmented Lagrangian active set (ALAS) formulationes_ES
dc.subjectSemi-Lagrangian method, Biquadratic Lagrange finite elementses_ES
dc.subjectArtificial boundary conditionses_ES
dc.titlePricing swing options in electricity markets with two stochastic factors using a partial differential equation approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleJournal of Computational Financees_ES
UDC.volume20es_ES
UDC.issue3es_ES
UDC.startPage81es_ES
UDC.endPage107es_ES
dc.identifier.doi10.21314/JCF.2016.317


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