In this paper, a formula for calculating a premium for reinsurance is presented. This formula was determined by incorporating a lognormal-burr probability distribution model into the PH-transform principle which is one of the risk-adjusted premium calculating principles. The lognormal-burr probability distribution model was selected, modelled, classified and validated as the best fitting model to 2016 GAM’s automobile insurance claims data among the eight candidates of composite lognormal probability distribution models. Then, the formula was applied in calculating reinsurance premiums for an automobile insurance branch under an excess of loss non-proportional reinsurance treaty.
References
[1]
Olivieri, A. and Pitacco, E. (2015) Introduction to Insurance Mathematics: Technical and Financial Features of Risk Transfers. Springer, Cham.
[2]
Dickson, D.C. (2016) Insurance Risk and Ruin. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781316650776
[3]
Calderín-Ojeda, E. and Kwok, C.F. (2016) Modeling Claims Data with Composite Stoppa Models. Scandinavian Actuarial Journal, 2016, 817-836. https://doi.org/10.1080/03461238.2015.1034763
[4]
Bakar, S.A.A., Hamzah, N.A., Maghsoudi, M. and Nadarajah, S. (2015) Modeling Loss Data Using Composite Models. Insurance: Mathematics and Economics, 61, 146-154. https://doi.org/10.1016/j.insmatheco.2014.08.008
[5]
Nadarajah, S. and Bakar, S.A.A. (2014) New Composite Models for the Danish Fire Insurance Data. Scandinavian Actuarial Journal, 2014, 180-187. https://doi.org/10.1080/03461238.2012.695748
[6]
Nadarajah, S. and Bakar, S.A.A. (2013) CompLognormal: An R Package for Composite Lognormal Distributions. The R Journal, 5, 97-103. https://doi.org/10.32614/RJ-2013-030
[7]
e Silva, J.M.A. and de Lourdes Centeno, M. (1998) Comparing Risk Adjusted Premiums from the Reinsurance Point of View. ASTIN Bulletin: The Journal of the IAA, 28, 221-239. https://doi.org/10.2143/AST.28.2.519067
[8]
Wang, S. (1996) Premium Calculation by Transforming the Layer Premium Density. ASTIN Bulletin: The Journal of the IAA, 26, 71-92. https://doi.org/10.2143/AST.26.1.563234
[9]
Klugman, S.A., Panjer, H.H. and Willmot, G E. (2012) Loss Models: From Data to Decisions. 4 Edition, Wiley, New York.
[10]
Deelstra, G. and Plantin, G. (2014) Risk Theory and Reinsurance. Springer, London, 78. https://doi.org/10.1007/978-1-4471-5568-3
[11]
Noussia, K. (2013) Reinsurance Arbitrations. Springer, Berlin. https://doi.org/10.1007/978-3-642-45146-1
[12]
Dress, F. (2007) Les probabilités et la statistique de A à Z: 500 définitions, formules et tests d’hypothèse. Dunod.
[13]
Parodi, P. (2014) Pricing in General Insurance. Chapman and Hall/CRC, New York. https://doi.org/10.1201/b17525
[14]
Dutang, C., Goulet, V. and Pigeon, M. (2008) Actuar: An R Package for Actuarial Science. Journal of Statistical Software, 25, 1-37. https://doi.org/10.18637/jss.v025.i07
[15]
R Core Team (2021) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.