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Article: Fourier-cosine method for Gerber-Shiu functions

TitleFourier-cosine method for Gerber-Shiu functions
Authors
KeywordsGerber–Shiu functions
Lévy subordinator
Fourier-cosine method
Sobolev embedding theorem
Harmonic analysis
Issue Date2015
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ime
Citation
Insurance: Mathematics and Economics, 2015, v. 61, p. 170-180 How to Cite?
AbstractIn this article, we provide a systematic study on effectively approximating the Gerber–Shiu functions, which is a hardly touched topic in the current literature, by incorporating the recently popular Fourier-cosine method. Fourier-cosine method has been a prevailing numerical method in option pricing theory since the work of Fang and Oosterlee (2009). Our approximant of Gerber–Shiu functions under Lévy subordinator model has O(n)O(n) computational complexity in comparison with that of O(nlogn)O(nlogn) via the fast Fourier transform algorithm. Also, for Gerber–Shiu functions within our proposed refined Sobolev space, we introduce an explicit error bound, which seems to be absent from the literature. In contrast with our previous work (Chau et al., 2015), this error bound is more conservative without making heavy assumptions on the Fourier transform of the Gerber–Shiu function. The effectiveness of our result will be further demonstrated in the numerical studies.
Persistent Identifierhttp://hdl.handle.net/10722/214205
ISSN
2019 Impact Factor: 1.359
2015 SCImago Journal Rankings: 1.000
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChau, KW-
dc.contributor.authorYam, SCP-
dc.contributor.authorYang, H-
dc.date.accessioned2015-08-21T10:54:07Z-
dc.date.available2015-08-21T10:54:07Z-
dc.date.issued2015-
dc.identifier.citationInsurance: Mathematics and Economics, 2015, v. 61, p. 170-180-
dc.identifier.issn0167-6687-
dc.identifier.urihttp://hdl.handle.net/10722/214205-
dc.description.abstractIn this article, we provide a systematic study on effectively approximating the Gerber–Shiu functions, which is a hardly touched topic in the current literature, by incorporating the recently popular Fourier-cosine method. Fourier-cosine method has been a prevailing numerical method in option pricing theory since the work of Fang and Oosterlee (2009). Our approximant of Gerber–Shiu functions under Lévy subordinator model has O(n)O(n) computational complexity in comparison with that of O(nlogn)O(nlogn) via the fast Fourier transform algorithm. Also, for Gerber–Shiu functions within our proposed refined Sobolev space, we introduce an explicit error bound, which seems to be absent from the literature. In contrast with our previous work (Chau et al., 2015), this error bound is more conservative without making heavy assumptions on the Fourier transform of the Gerber–Shiu function. The effectiveness of our result will be further demonstrated in the numerical studies.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ime-
dc.relation.ispartofInsurance: Mathematics and Economics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectGerber–Shiu functions-
dc.subjectLévy subordinator-
dc.subjectFourier-cosine method-
dc.subjectSobolev embedding theorem-
dc.subjectHarmonic analysis-
dc.titleFourier-cosine method for Gerber-Shiu functions-
dc.typeArticle-
dc.identifier.emailChau, KW: kiwaic@hku.hk-
dc.identifier.emailYang, H: hlyang@hku.hk-
dc.identifier.authorityYang, H=rp00826-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.insmatheco.2015.01.008-
dc.identifier.scopuseid_2-s2.0-84922342245-
dc.identifier.hkuros248425-
dc.identifier.volume61-
dc.identifier.spage170-
dc.identifier.epage180-
dc.identifier.isiWOS:000352663100016-
dc.publisher.placeNetherlands-

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