| Autor: |
Dong-Kwang Kim, Hyuk-Sung Kwon, Chang-Soo Lee |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
Korean Journal of Applied Statistics. 22:489-498 |
| ISSN: |
1225-066X |
| DOI: |
10.5351/kjas.2009.22.3.489 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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