• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.73-80
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• 2011

The purpose of this study is to analyse the influence of product portfolio and interest rate on the lapse ratio. This issue is very important because of the recent introduction of IFRS and CFP. The fixed-effect model and the random-effect model are estimated with using panel data and the Hausman test is employed in order to select a model. The results of this study is summarized as follows. Firstly, the random effect model is selected. According to the model, the lapse rate increases as the portfolio of savings plan, sickness, and death increases and the interest rate is high. Secondly, health insurance and variable insurance product show a negative relationship with the lapse rate.

• Communications for Statistical Applications and Methods
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• v.16 no.1
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• pp.85-102
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• 2009

This paper derives conversion formulas from yearly-based absolute rates of decrements to monthly-based rates of decrement due to cause J under fractional age distributions. Next, it suggests conversion formulas from monthly-based absolute rates of decrements to monthly-based rates of decrement due to cause j under fractional age distributions. In addition, it applies the conversion formulas including a dynamic lapse rate model to variable annuities. Some numerical examples are discussed.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.13-25
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• 2016

This paper analyses the impacts of the characteristics of policyholder and contract on the lapse of Voluntarily Insured Person in National Pension, using the recent lapse data from National Pension Service. The logistic regression model is used in examining lapse odds with several independent variables. The result demonstrates several hypotheses of the lapse behaviors. First, the lapse odds of men is lower than that of women. Second, the effect of age on lapse odds shows concave shave with the peak at 37. Third, insured period has a negative effect on lapse odds in entrants sample. Fourth, standard monthly income has little effect on lapse in either sample. Fifth, the lapse odds decreases as the expected benefit ratio increases. Sixth, 2013 pension bill resulted in the sharp increase of lapse odds and the effect was greater for entrants. Last but not least, spatial environment such as residence also affects the lapse behavior.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.737-753
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• 2013

Interest rate options embedded in life insurance products provide policyholders with minimum guaranteed rates credited to the corresponding surrender values. This paper discusses current low-interest environment and several types of interest rate options embedded in life insurance products. In addition, this paper shows profit structures of the life insurance products and calculates values of the interest rate options under stochastic interest model and the corresponding VaR (value at risk). Finally, some implications are discussed.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.723-736
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• 2013

The importance of lapse rate is highly increasing due to the introduction of Cash Flow Pricing system, non-refund-of-reserve insurance policy, and IFRS (International Financial Reporting System) to the Korean insurance market. Researches on lapse rate have mainly focused on simple data analysis and regression analysis, etc. However, lapse rate can be analyzed by survival analysis and can be well explained in terms of several covariates with Cox proportional hazard model. Guaranteed minimum benefits embedded in variable annuities require more elegant statistical analysis of lapse rate. Hence, this paper analyzes data of policyholders with variable annuities by using Cox proportional hazard model. The key variables of policy holder that influences the lapse rate are payment method, premium, lapse insured to term insured, reserve-GMXB ratio, and age.

• The Journal of Information Technology
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• v.6 no.3
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• pp.137-150
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• 2003

Recently, developing information technology and increasing internet usage, e-Learning service industry is rapidly growing. However institutions and regulations related e-Learning service are insufficient. Users of e-Learning service were lower grade in school relatively, spent average 40,000won/month and used other private education service. Users answered that they were generally satisfied at e-Learning service but were not satisfied at e-Learning 'fee'and 'the contract process'. Specially, the result suggest that consumer's satisfaction is affect by experience of demage and complains related e-Learning usage.

• Korean Journal of Environment and Ecology
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• v.14 no.3
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• pp.167-174
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• 2000

거제도 남동 해안지역의 한려해상국립공원 보호구역에서 해상자원의 보존을 위한 기초자료를 확보하고자 거제도 일운면 예구리, 남부면 다대리 및 남부면 저구리 해얀지역에서 1999년 6월부터 2000년 3월까지 어류상 조사를 실시하였다. 조사를 통하여 확인된 어류는 총 16목 47목 69속 85 종 2, 789개체가 채집되었으며, 45종이 출현한 농어목(Perciformes), 10종씩 출현한 가자미목 (Pleuronectiformes) 및 횟대목(Scorpaseniformes)의대부분 저서생활을 하는 어류가 주로 채집되었다. 전체 조사기간 동안 가장 만하은 개체가수가 채집된 어류를 줄비늘치(Coelorhyncus multispinulosus) 458개체(16.4%)로 확인되었고 칠서대(Cynoglossus interruptus) 384개채(13.8%), 노랑촉수(Upeneus bensasi) 285개체(10.2%) 등의 순 이었다. 조사시간 6월에 가장 다양하고 풍부한 어류가 채집되었다.

• Journal of Acupuncture Research
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• v.31 no.2
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• pp.39-50
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• 2014

Objectives : This study was designed to evaluate the effects of Tokoro Rhizoma pharmat $KI_{10}$ in nephritis induced by lipopolysaccharide(LPS) in rat. Methods : Rats were divided into 4 groups and 3 groups(LPS, saline, Tokoro Rhizoma pharmacopuncture(TR-P) group) were injected LPS to induce nephritis. TR-P group was treated with TR at $KI_{10}$ three times for a week, saline group with normal saline. To evaluate the effects of TR at $KI_{10}$ on nephritis in rats, white blood cell(WBC), neutrophil in blood, creatinine, cytokine-induced neutrophil chemoattractant-1(CINC-1) in serum and urinary volume, creatinine in urine, renal myeloperoxidase(MPO) were measured and renal tissue was analyzed. Results : TR-P group significantly reduced WBC, neutrophil in blood, creatinine, CINC-1 in serum, creatinine in urine and renal MPO than LPS group. TR-P group increased urinary volume but, not significant. Conclusion : TR at $KI_{10}$ has a therapeutic effect on nephritis in LPS stimulated rat. Therefore, it is suggested that TR at $KI_{10}$ may be an useful therapeutics for nephritis in clinical field after further researches.

• The Korean Journal of Financial Studies
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• v.5 no.1
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• pp.213-236
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• 1999

최근 우리 나라는 금융환경의 변화가 진전됨에 따라 보험산업에도 변화가 일어나기 시작했다. 이에 따라 보험산업은 지급능력 및 수익성에 관심을 갖게 되었다. 이에 본 연구에서는 국내 생명보험회사의 투자수익율이 재무제표에 나타난 요인에 의해 어떻게 결정되는가를 살펴봄으로써 수익률 결정요인을 찾는데 있다. 본 연구에서 사용한 자료는 생명보험회사 33개사 중에서 외국사를 제외한 29개사를 선택하여 수집하였다. 분석 기간은 1989년부터 1996년까지이며, 생명보험회사는 기존사, 지방사, 내국사, 합작사로 구분하였다. 분석결과, 시차별 분석에서는 결정계수가 기간이 짧을수록 높게 나타났고 예측된 부호는 잉여금, 사업비율이 반대로 나타났다. 그룹별 분석에서는 기존사, 내국사, 지방사, 합작사의 모델이 각각 유의수준 5%에서 유의하였고 결정계수는 높게 나타났다. 예측부호는 자산증가율과 사업비율, 수입보험료 증가율(기존사 제외), 부채/자본비율(기존사 제외)이 일치하지 않았다. 경영평가제도에 의한 분석에서는 결정계수가 높은 편이며, 유의수준 5%에서 유의하였다. 자본증가율은 예측된 부호와 일치하나 영향력이 거의 없는 것으로 나타났다. 유동성 비율은 신설사(내국사, 지방사, 합작사)가 예측부호와 반대의 경우로 나타났다. 또한 총자산은 투자수익율과 규모에 의해 결정되지 않은 것으로 나타났다. 모집인은 투자수익율에 유의적이나 직접적인 투자요인이 아닌 것으로 분석되었다. 기존연구와 비교해 볼 때, 한국 생명보험회사의 잉여금과 효력상실 해약율은 기존연구 모형과 예측부호가 일치하나 나머지 변수는 그룹간 다소 상이하게 나타났다. 결론적으로 본 연구의 분석 결과, 예측부호는 다소 차이가 있는 것으로 나타났고, 유의적인 변수는 없는 것으로 분석된다.

• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.