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dc.contributor.authorArregui, Íñigo
dc.contributor.authorSalvador, Beatriz
dc.contributor.authorVázquez, Carlos
dc.date.accessioned2017-06-08T18:14:04Z
dc.date.issued2017-09-01
dc.identifier.citationArregui, I., Salvador, B., & Vázquez, C. (2017). PDE models and numerical methods for total value adjustment in European and American options with counterparty risk. Applied Mathematics and Computation, 308, 31-53.es_ES
dc.identifier.issn0096-3003
dc.identifier.issn1873-5649
dc.identifier.urihttp://hdl.handle.net/2183/19159
dc.descriptionThe final publication is available: https://doi.org/10.1016/j.amc.2017.03.008es_ES
dc.description.abstract[Abstract] Since the last financial crisis, a relevant effort in quantitative finance research concerns the consideration of counterparty risk in financial contracts, specially in the pricing of derivatives. As a consequence of this new ingredient, new models, mathematical tools and numerical methods are required. In the present paper, we mainly consider the problem formulation in terms of partial differential equations (PDEs) models to price the total credit value adjustment (XVA) to be added to the price of the derivative without counterparty risk. Thus, in the case of European options and forward contracts different linear and nonlinear PDEs arise. In the present paper we propose suitable boundary conditions and original numerical methods to solve these PDEs problems. Moreover, for the first time in the literature, we consider XVA associated to American options by the introduction of complementarity problems associated to PDEs, as well as numerical methods to be added in order to solve them. Finally, numerical examples are presented to illustrate the behavior of the models and numerical method to recover the expected qualitative and quantitative properties of the XVA adjustments in different cases. Also, the first order convergence of the numerical method is illustrated when applied to particular cases in which the analytical expression for the XVA is available.es_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; MTM2013-47800-C2-1-Pes_ES
dc.description.sponsorshipXunta de Galicia; GRC2014/044
dc.description.sponsorshipMinisterio de Economía y Competitividad; BES-2014-070782
dc.description.sponsorshipMinisterio de Economía y Competitividad; BES-2014-070782.
dc.language.isoenges_ES
dc.publisherElsevier Inc.es_ES
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0096300317301790es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCounterparty riskes_ES
dc.subjectCredit value adjustmentses_ES
dc.subjectNon linear PDEses_ES
dc.subjectCharacteristics methodes_ES
dc.subjectFinite elementses_ES
dc.subjectAugmented Lagrangian active set methodes_ES
dc.titlePDE Models and Numerical Methods for Total Value Adjustment in European and American Options with Counterparty Riskes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/embargoedAccesses_ES
dc.date.embargoEndDate2019-09-01es_ES
dc.date.embargoLift2019-09-01
UDC.journalTitleApplied Mathematics and Computationes_ES
UDC.volume308es_ES
UDC.startPage31es_ES
UDC.endPage53es_ES
dc.identifier.doi10.1016/j.amc.2017.03.008


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