Hedging at-the-money digital options near maturity

dc.contributor.authorBlanc-Blocquel, Augusto
dc.contributor.authorOrtiz Gracia, Luis
dc.contributor.authorOviedo, Rodolfo J.
dc.date.accessioned2023-05-23T10:20:03Z
dc.date.available2023-05-23T10:20:03Z
dc.date.issued2023-02-10
dc.date.updated2023-05-23T10:20:03Z
dc.description.abstractHedging at-the-money digital options near maturity, remains a challenge in quantitative finance. In the present work, we carry out a hedging strategy by means of a bull spread. We study the probability of super- and sub-hedge the digital option and minimize the probability of a sub-hedge considering the cost of hedging and illiquidity issues. We perform a wide variety of numerical experiments under different models for the underlying asset dynamics. A calibration to market data is provided and used to get the optimal composition of the bull spread satisfying the cost of hedging restriction (...)
dc.format.extent18 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec734044
dc.identifier.issn1387-5841
dc.identifier.urihttps://hdl.handle.net/2445/198331
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1007/s11009-023-10013-6
dc.relation.ispartofMethodology and Computing in Applied Probability , 2023, vol. 25, num. 18, p. 1-18
dc.relation.urihttps://doi.org/10.1007/s11009-023-10013-6
dc.rights(c) Springer Verlag, 2023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Econometria, Estadística i Economia Aplicada)
dc.subject.classificationOpcions (Finances)
dc.subject.classificationSistemes de control digital
dc.subject.classificationProgramació dinàmica
dc.subject.otherOptions (Finance)
dc.subject.otherDigital control systems
dc.subject.otherDynamic programming
dc.titleHedging at-the-money digital options near maturity
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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