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Article: Fourier-cosine method for ruin probabilities

TitleFourier-cosine method for ruin probabilities
Authors
Issue Date2015
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cam
Citation
Journal of Computational and Applied Mathematics, 2015, v. 281, p. 94-106 How to Cite?
AbstractIn theory, ruin probabilities in classical insurance risk models can be expressed in terms of an infinite sum of convolutions, but its inherent complexity makes efficient computation almost impossible. In contrast, Fourier transforms of convolutions could be evaluated in a far simpler manner. This feature aligns with the heuristic of the recently popular work by Fang and Oosterlee, in particular, they developed a numerical method based on Fourier transform for option pricing. We here promote their philosophy to ruin theory. In this paper, we not only introduce the Fourier-cosine method to ruin theory, which has O(n)O(n) computational complexity, but we also enhance the error bound for our case that are not immediate from Fang and Oosterlee (2009). We also suggest a robust method on estimation of ruin probabilities with respect to perturbation of the moments of both claim size and claim arrival distributions. Rearrangement inequality will also be adopted to amplify the Fourier-cosine method, resulting in an effective global estimation.
Persistent Identifierhttp://hdl.handle.net/10722/214204
ISSN
2015 Impact Factor: 1.328
2015 SCImago Journal Rankings: 1.089

 

DC FieldValueLanguage
dc.contributor.authorChau, KW-
dc.contributor.authorYam, SCP-
dc.contributor.authorYang, H-
dc.date.accessioned2015-08-21T10:54:06Z-
dc.date.available2015-08-21T10:54:06Z-
dc.date.issued2015-
dc.identifier.citationJournal of Computational and Applied Mathematics, 2015, v. 281, p. 94-106-
dc.identifier.issn0377-0427-
dc.identifier.urihttp://hdl.handle.net/10722/214204-
dc.description.abstractIn theory, ruin probabilities in classical insurance risk models can be expressed in terms of an infinite sum of convolutions, but its inherent complexity makes efficient computation almost impossible. In contrast, Fourier transforms of convolutions could be evaluated in a far simpler manner. This feature aligns with the heuristic of the recently popular work by Fang and Oosterlee, in particular, they developed a numerical method based on Fourier transform for option pricing. We here promote their philosophy to ruin theory. In this paper, we not only introduce the Fourier-cosine method to ruin theory, which has O(n)O(n) computational complexity, but we also enhance the error bound for our case that are not immediate from Fang and Oosterlee (2009). We also suggest a robust method on estimation of ruin probabilities with respect to perturbation of the moments of both claim size and claim arrival distributions. Rearrangement inequality will also be adopted to amplify the Fourier-cosine method, resulting in an effective global estimation.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cam-
dc.relation.ispartofJournal of Computational and Applied Mathematics-
dc.rights© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleFourier-cosine method for ruin probabilities-
dc.typeArticle-
dc.identifier.emailChau, KW: kiwaic@HKUCC-COM.hku.hk-
dc.identifier.emailYang, H: hlyang@hku.hk-
dc.identifier.authorityYang, H=rp00826-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.cam.2014.12.014-
dc.identifier.hkuros248422-
dc.identifier.volume281-
dc.identifier.spage94-
dc.identifier.epage106-
dc.publisher.placeNetherlands-

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