금융 빅데이터 개방시스템(CreDB)을 활용한 보험계약자의 해지 현황 및 계약자 신용사건과의 관계분석

초록

With the introduction of IFRS 17 in 2023, the Korean insurance industry will face a new system called fair value accounting. To prepare for international accounting standards, the insurance industry currently provides appropriate information to market participants with comparative financial statements that apply retrospective or fair value methods to insurance contracts. In particular, the importance of an elaborate methodology for evaluating the cancellation rate of a policyholder, which is an element in estimating the liability of an insurance contract, is emerging. As a basic termination rate model, a dynamic cancellation rate model reflecting the interest rate that affects the estimated interest rate was presented, and other approaches included prior studies considering policyholder's personal information such as gender, insured relationship, payment period, payment premium level, and subscription channel. In developed countries, the credit rate of policyholder is used as one factor to determine the claim and loss rate of insurance benefit or premiums of auto insurance. Therefore, it is expected that analyzing the correlation between the credit rating and cancellation of policyholder will contribute to practical use. In this study, from the data provided by the Korea Credit Information Service, the hazard ratio was estimated using Cox proportional and non-proportional model by adding credit variables along with various variables related to whole life insurance contracts. As a result of the analysis, credit variables affect the cancellation of whole life insurance, so it is judged that individual credit variables should also be considered when evaluating the future cancellation rate.

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