Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5275
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dc.contributor.authorLeonard Mushunjeen_US
dc.contributor.authorChiedza Elvina Mashirien_US
dc.contributor.authorEdina Chandiwanaen_US
dc.contributor.authorEdina Chandiwanaen_US
dc.contributor.authorMaxwell Mashashaen_US
dc.contributor.editorNiansheng Tangen_US
dc.date.accessioned2022-12-01T16:31:23Z-
dc.date.available2022-12-01T16:31:23Z-
dc.date.issued2022-05-09-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5275-
dc.description.abstractWe investigated if general insurance claims are normal or rare events through systematic, discontinuous or sporadic jumps of the Brownian motion approach and Poisson processes. Using firm quarterly data from March 2010 to December 2018, we hypothesized that claims with high positive (negative) slopes are more likely to have large positive (negative) jumps in the future. As such, we expected salient properties of volatile jumps on the written products/contracts. We found that insurance claims for general insurance quoted products cease to be normal. There exist at times some jumps, especially during holidays and weekends. Such jumps are not healthy to the capital structures of firms, as such they need attention. However, it should be noted that gaps or jumps (unless of specific forms) cannot be hedged by employing internal dynamic adjustments. This means that, jump risk is non-diversifiable and such jumps should be given more attention.en_US
dc.language.isoenen_US
dc.publisherIntechOpenen_US
dc.relation.ispartofArtificial Intelligenceen_US
dc.subjectInsurance claimsen_US
dc.subjectJumpsen_US
dc.subjectDiffusion modelsen_US
dc.subjectInsurance claimsen_US
dc.subjectGeneral insuranceen_US
dc.subjectVolatilityen_US
dc.subjectReservingen_US
dc.titleApplication of Jump Diffusion Models in Insurance Claim Estimationen_US
dc.typebook parten_US
dc.relation.publicationData Clusteringen_US
dc.identifier.doi10.5772/intechopen.99853-
dc.contributor.affiliationDepartment of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabween_US
dc.contributor.editoraffiliationYunnan Universityen_US
dc.relation.isbn978-1-83969-888-0en_US
dc.relation.issn2633-1403en_US
dc.description.startpage33en_US
dc.description.endpage36en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypebook part-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
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