• Journal of Arbitration Studies
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• v.15 no.3
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• pp.267-301
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• 2005

Following the increased economic corporations between the South and North Korea, many companies participate the corporation program. They needs insurance policy as a scheme for the transfer of risk from those individual company to it to an insurer. This paper review the possibility of the North Korea insurance authorities and research the origin, history, structure and context of the North Korea insurance law. The North Korea Insurance law differ from the South Korea and China's. North Korea Insurance authority has not capability of doing insurance business both side of underwriting and indemnity. Partly, it caused the uncertainty, insufficient and vague of the insurance law. The writer conclude that the North Korea insurance law faced to the needs of modernization. Especially, the Gyesung Industrial Complex Insurance Regulation couldn't cover the investor and company's risk because it is not based on the nature and basic principles of insurance.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.387-405
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• 2022

Purpose: This study aims to develop a communality model to measure the service quality that the customers encounter on face-to-face and non-face-to-face automobile insurance before and after insurance purchase. Methods: For these purposes, we conduct a five-step program to develop a comprehensive communality model to measure service quality except insurance purchase channels. Results: As a result, we find five communality factors: value-added service for automobile maintenance, value-added service for drivers, quickness, dispatch service, and convenience of the service process. And the relative importance of service quality factors was in the order of value-added service for drivers, the convenience of the service process, quickness, and dispatch service, respectively. Conclusion: This study developed the opportunities to enhance service quality to attract customers. And it contributes to the academic literature by reporting the industry-specific service quality model, which maintains a theoretical gap in the online and offline automobile insurance industry.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.118-121
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• 2006

Insurance's service have been studied for purchase behavior, life style. And Insurance's service is more and more important. Steady necessity of study was on the rise for insurance's service. This study is based on existing study. We classified insurance's service factors into insurance business's characteristic factors(image, information, security), insurance agent's characteristic factors(expert knowledge, care) and insurance product's characteristic factors(multiplicity, a made-to-order goods) And then we investigated how these classified characteristic factors could influence on customer satisfaction.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.16 no.2
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• pp.137-149
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• 2012

We propose an efficient method to measure the insurance risk of causality insurance companies by using the CreditRisk+ methodology. This method is superior to previous methods in several aspects. Its computation speed is very fast and the input data form is simple. It is able to aggregate both credit risk and insurance risk, so the insurance company can manage the risk in combined manner. In this paper, we propose a mathematical method to obtain the aggregate loss distribution of portfolios having correlation among products or business lines as a general case, and then suggest its implementation algorithm. Finally we apply this method to the real data from Korea Insurance Development Institute (KIDI) and discuss its availability to real applications.

• Korean Business Review
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• v.1
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• pp.167-192
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• 1987

• The Journal of Fisheries Business Administration
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• v.7 no.1
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• pp.1-26
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• 1976

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.467-476
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• 2011

We developed the hybrid model coupled with predictive model and business rule model for administration of injury by utilizing medical data of the National Health Insurance in Korea. We performed decision tree analysis using data mining methodology and used SAS Enterprise Miner 4.1. We also investigated under several business rule for benefits (expense paid by insurer) and claims of injury in National Health Insurance Corporation. We can see that the proposed hybrid model provides a quite efficient plausible results.

• Information Systems Review
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• v.8 no.3
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• pp.125-134
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• 2006

This article adopts a decision tree algorithm(C5.0) to predict customer churning in online auto insurance environment. Using a sample of on-line auto insurance customers contracts sold between 2003 and 2004, we test how decision tree-based model(C5.0) works on the prediction of customer churning. We compare the result of C5.0 with those of logistic regression model(LRM), multivariate discriminant analysis(MDA) model. The result shows C5.0 outperforms other models in the predictability. Based on the result, this study suggests a way of setting marketing strategy and of developing online auto insurance business.

• Health Policy and Management
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• v.15 no.3
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• pp.79-93
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• 2005

The purpose of the study is to identify Ambulatory Care Sensitive Conditions (ACSC) and their potential health insurance applicability in Korea, using the correlation and regression analysis with the empirical data provided by Korean Health Insurance Review Agency(KHIRA). Here, ACSC would be thought of as conditions that when timely and effectively treated in the outpatient medical services can help reduce the risk of hospitalizations. As for ACSC, reducing accessibility for outpatient visit results in increasing hospitalization. In this respect, the ACSC concept is popularly adopted as one of the performance indicators of the national health system. As one of main results, fortifying the accessibility to necessary health care in a way of sharing appropriately the role with private health insurance can lead to the efficiency of national health care delivery systems in view of total health care expense, in particular in a case of ACSC children. Lastly, we would like to strongly suggest that the disease treatment data set reported to KHIRA needs to be opened to private insurance companies only for illness experience investigation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.83-93
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• 2020

This empirical research aims to modeling and improving the forecasting accuracy of the volatility pattern by employing the Saudi Arabia stock market (Tadawul)by studying daily closed price index data from October 2011 to December 2019 with a number of observations being 2048. In order to achieve significant results, this study employs many mathematical functions which are non-linear spectral model Maximum overlapping Discrete Wavelet Transform (MODWT) based on the best localized function (Bl14), autoregressive integrated moving average (ARIMA) model and generalized autoregressive conditional heteroskedasticity (GARCH) models. Therefore, the major findings of this study show that all the previous events during the mentioned period of time will be explained and a new forecasting model will be suggested by combining the best MODWT function (Bl14 function) and the fitted GARCH model. Therefore, the results show that the ability of MODWT in decomposition the stock market data, highlighting the significant events which have the most highly volatile data and improving the forecasting accuracy will be showed based on some mathematical criteria such as Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), Root Means Squared Error (RMSE), Akaike information criterion. These results will be implemented using MATLAB software and R- software.