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dc.contributor.authorLeduc, Guillaume
dc.date.accessioned2020-06-02T09:28:15Z
dc.date.available2020-06-02T09:28:15Z
dc.date.issued2016
dc.identifier.citationLeduc, Guillaume. (2016) “Option convergence rate with geometric random walks approximations.” Stochastic Analysis and Applications, 34:5, 767-791, DOI: 10.1080/07362994.2016.1171721en_US
dc.identifier.issn1532-9356
dc.identifier.urihttp://hdl.handle.net/11073/16666
dc.description.abstractWe describe a broad setting under which, for European options, if the underlying asset form a geometric random walk then, the error with respect to the Black–Scholes model converges to zero at a speed of 1/𝑛 for continuous payoffs functions, and at a speed of 1∕√𝑛 for discontinuous payoffs functions.en_US
dc.language.isoen_USen_US
dc.publisherTaylor & Frances Onlineen_US
dc.relation.urihttps://doi.org/10.1080/07362994.2016.1171721en_US
dc.subjectRisk neutral random walken_US
dc.subjectRate of convergenceen_US
dc.subjectEuropean digital optionsen_US
dc.subjectBlack–Scholesen_US
dc.titleOption convergence rate with geometric random walks approximationsen_US
dc.typePeer-Revieweden_US
dc.typeArticleen_US
dc.typePublished versionen_US
dc.identifier.doi10.1080/07362994.2016.1171721


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