Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5275
Title: Application of Jump Diffusion Models in Insurance Claim Estimation
Authors: Leonard Mushunje
Chiedza Elvina Mashiri
Edina Chandiwana
Edina Chandiwana
Maxwell Mashasha
Niansheng Tang
Department of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabwe
Department of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabwe
Department of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabwe
Department of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabwe
Department of Applied Mathematics and Statistics, Midlands State University, Gweru, Zimbabwe
Yunnan University
Keywords: Insurance claims
Jumps
Diffusion models
Insurance claims
General insurance
Volatility
Reserving
Issue Date: 9-May-2022
Publisher: IntechOpen
Abstract: We 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.
URI: https://cris.library.msu.ac.zw//handle/11408/5275
Appears in Collections:Book Chapters

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