This paper delves into the intricacies of reinsurance risk assessment through the lens of the Excess of Loss Method. It examines the fundamental principles and applications of this approach in quantifying risk exposure for reinsurers. Through a comprehensive analysis, the paper sheds light on the methodologies, advantages, and limitations associated with the Excess of Loss Method, providing valuable insights for risk managers, actuaries, and stakeholders in the reinsurance industry.

Reinsurance, Risk Assessment, Excess of Loss Method

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.