Estimation of Reinsurance Risk Value Using the Excess of Loss Method
Abstract
As with any other business that has a risk of any incident in the future, the insurance business also needs protection against the risks that may arise in the company so that the company does not lose. Therefore, the need for anticipation in organizing any claims submitted by the insurance company to Reinsurance Company so that insurance company may assign any or all of the risks to reinsurance companies. In the method of reinsurance excess-of-loss there is a certain retention limits that allow reinsurance companies bear no claims incurred on insurance companies. The results of this study showed the average occurrence of claims and the risks that may be encountered by Reinsurance Company during the period of insurance. The magnitude of the risk assumed by the reinsurer relies on the model claims aggregation formed from individual claim size distribution models and distribution models the number of claims incurred in the period of insurance. Besides the magnitude of risk was also determined from the retention limit of insurance and reinsurance method used.
Keywords
Full Text:
PDFReferences
Bowers, N.,et al. (1997). Actuarial Mathematics. Schaumburg, IL: Society of Actuaries.
Centeno, M.D.L. (1995). Excess of Loss Reinsurance and the Probability of Ruin in Finite Horizon. ASTIN BULLE'TIN, Vol 27. No I,1997; pp 59-70.
Déniz-G, E. and Ojeda-C, E. (2013). A Suitable Alternative to the Pareto Distribution. Hacettepe Journal of Mathematics and Statistics, Volume 43 (5) (2014), pp. 843 – 860. Dickson, D.C.M. (2016). Insurence Risk and Ruin. Cambridge: Cambridge University Press.
Hogg, R.V dan Craig, A.T. 1995. Introduction to Mathematical Statistics, New Jersey: Percentile Hall.
Klugman, S. A., Panjer, H. H., Willmot, G., E. 1990. Loss Models: from data to decisions. New York: John Wiley & Sons.
Manurung, Tohap. 2011. Analisis Data Total KlaimUntukMenghitung Pure Premium Asuransi Mobil. JurnalIlmiah Vol. 11 No.2. Oktober 2011
Mata, A.J. and Verheyen, M.A. (2005). An Improved Method for Experience Rating Reinsurance Treaties using Exposure Rating Techniques. Working Paper. Casualty Actuarial Society Forum, Spring 2005; pp. 172-214.
Najafadi-P, A.T. and Bazaz-P, A. (2017). An Optimal Combination of Proportional and Stop-Loss Reinsurance Contracts From Insurer’s and Reinsurer’s Viewpoints. Paper. Department of Mathematical Sciences, Shahid Beheshti University, Evin, Tehran, Iran; pp. 1-20. Pramesti, Getut. 2011. Distribusi Rayleigh UntukKlaimAgregasi. Media Statistika Vol. 4, No. 2. Desember 2011: 105-112.
Siegel, S., Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Science. New York: McGraw-Hill. Sunandi, Netty dan Malau, R. A. 2003. Penaksiran Fungsi Densitas Untuk Suatu Data Dengan Penaksir Kernel. Jurnal Matematika, Sains, dan Teknologi Vol.4, No.1. Maret 2003.
DOI: https://doi.org/10.46336/ijbesd.v1i1.16
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 International Journal of Business, Economics, and Social Development
This work is licensed under a Creative Commons Attribution 4.0 International License.
Published By:
IJBESD: Jalan Riung Ampuh No. 3, Riung Bandung, Kota Bandung 40295, Jawa Barat, Indonesia
IJBESD Indexed By:
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments on this article
"nemeAgemn" (2024-09-02)
"Elapila" (2024-11-16)
"can i purchase cheap cytotec wit" (2024-11-30)