Browse > Article
http://dx.doi.org/10.5351/KJAS.2009.22.3.489

A Study on the Scoring Method for the Insurance Underwriting Using Generalized Linear Model  

Lee, Chang-Soo (Department of Statistics and Actuarial Science, Soongsil University)
Kwon, Hyuk-Sung (Department of Statistics and Actuarial Science, Soongsil University)
Kim, Dong-Kwang (Department of Statistics and Actuarial Science, Soongsil University)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.3, 2009 , pp. 489-498 More about this Journal
Abstract
Underwriting is the first step for the administration of an insurance contract, which may result in stable profitability or unexpected loss for insurance company. Adequacy of underwriting criteria determines underwriting result. Generally, quantitative scoring system is used for underwriting. Method of evaluating risk for the scoring system is summing up scores for risk factors of a potential policyholder in consideration. Scores for each risk factor is predetermined. Current business environment for insurance companies makes underwriting profit more important, which means that insurance companies need more efficient underwriting method. This study suggests a reasonable approach to estimate risk relativities based on generalized linear model. Real data were used to quantify risk levels of groups of insureds for the design of underwriting model. Finally, effects in business volume and profitability of reflecting estimated underwriting scoring system are explained.
Keywords
Underwriting; scoring method; generalized linear model; life insurance;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Atkinson, D. B. and Dallas, J. W. (2000). Life Insurance Products and Finance, Society of Actuaries
2 Bickley, M. C. (2007). Life and Health Insurance Underwriting, LOMA
3 Haberman, S. and Renshaw, A. E. (1996). Generalized linear models and actuarial science, The Statistician, 45, 407-436   DOI   ScienceOn
4 Kwon, H. S. and Jones, B. L. (2006). The impact of the determinants of mortality on life insurance and annuities, Insurance: Mathematics and Economics, 38, 271-288   DOI   ScienceOn
5 Lewis, E. M. (1992). An Introduction to Credit Scoring, Fair, Isaan and Company
6 McCullagh, P. and Neider, J. A. (1989). Generalized Linear Models, Chapman & Hall/CRC, London
7 Murphy, K. P., Brockman, M. J. and Lee, P. K. W. (2000). Using Generalized Linear Models to Build Dynamic Pricing Systems, Casualty Actuarial Forum, Winter 2000
8 Society of Actuaries (2005). Report of the Scociety of Actuaries Preferred Underwriting Survey Subcommittee, March 2005