• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.387-395
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• 2013

Insurance accounting is the process of identifying, measuring, and communicating economic information to permit informed judgements and decisions by users of the insurance information. With the Korean-International Financial Reporting Standard(K-IFRS) on accounting for insurance contracts to be finalized by 2011 in Korea, the fair value accounting is expected to greatly affect the insurance industry in terms of insurance company' financial statements. This research analyzes the effect of financial statement as K-IFRS on the insurance accounting by comparing the financial statements of the listed company using past insurance accounting standard and the current K-IFRS standard. We analyzed the matched pair sample at loan amount, insurance contract debt, total assets amount, total debts amount, total capital amount in the financial statements of the listed 12 insurance company. We found that insurance contract debt, total assets amount, total debts amount, total capital amount are difference before and after K-IFRS applied insurance company.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.263-270
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• 2005

The reliability guarantee insurance policy for parts and materials was introduced to the market in 2003. This policy indemnifies manufactures for the repair/failure costs, recall expenses. In this paper, owing to the nature of the policy, we propose a new rate-making system considering the type of product and industry, quality control circumstances, record of guarantee performance, and exposures.

• Communications for Statistical Applications and Methods
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• v.30 no.5
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• pp.437-451
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• 2023

Generalized linear models and generalized linear mixed models (GLMMs) are fundamental tools for predictive analyses. In insurance, GLMMs are particularly important, because they provide not only a tool for prediction but also a theoretical justification for setting premiums. Although thousands of resources are available for introducing GLMMs as a classical and fundamental tool in statistical analysis, few resources seem to be available for the insurance industry. This study targets insurance professionals already familiar with basic actuarial mathematics and explains GLMMs and their linkage with classical actuarial pricing tools, such as the Buhlmann premium method. Focus of the study is mainly on the modeling aspect of GLMMs and their application to pricing, while avoiding technical issues related to statistical estimation, which can be automatically handled by most statistical software.

• Korean Management Science Review
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• v.29 no.3
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• pp.23-43
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• 2012

Enacted for enhancing the competitiveness of the Korean capital market and financial industry, Capital Market Consolidation Act (CMCA) was intended to induce considerable changes such as adopting the concept of financial investment products, regulating financial investment functionally, extending financial investors' business areas and intensifying protection for investors. Employing DEA (Data Envelopment Analysis), this study measures and compares the efficiencies of domestic financial companies between the before and after the enactment of the Consolidation Act. We categorize the financial companies into 4 groups (banks, life insurance companies, property and casualty insurance companies and securities companies) depending on their business types, and evaluate how much and in which direction the Consolidation Act affects the efficiency of each group respectively. The study shows that there is no significant difference between the average efficiency of banks and that of property and casualty insurance companies due to the trade-off between opportunities and threats of the Act. To the contrary, it shows that the respective average efficiencies of life insurance companies and securities companies moved in the opposite directions to a considerable extent. Through empirical tests, we demonstrate the effect of the Act on the efficiency of Korean financial companies, and suggest the countermeasures for each financial group against the Act.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.17
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• pp.93-125
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• 2002

This paper aims to find a reasonable solvency margin system in non-life insurance industry and also to evaluate the appropriateness of the current solvency margin regulation system in Korea. The current solvency margin system in Korea, based on EU's solvency margin model, was introduced during the 1997 financial crisis. The solvency requirement is not based on non-life insurer's risk, but simply on written premiums. The current solvency margin for general insurance, such as fire, marine, and automobile insurance, is determined by the greater between a premium-based amount and a claim-based amount, where the premium-based solvency margin is calculated by multiplying the net written premium for the preceding year by the premium based solvency margin ratio. Also, the amount of solvency margin for long term insurance is set at 4% of the policy reserve of the long term insurance. Still, there exist many differences between the current solvency margin regulation system in Korea and EU's model. This paper focuses on the rationality of the solvency margin regulation system, and compares the current system in Korea with EU's model and the RBC(Risk Based Capital) system in U.S. and Japan. Finally, this paper suggests a more specific and reasonable solvency margin system to be developed in Korea.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.189-192
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• 2021

The article is devoted to the issue of the content of legal instruments in terms of tourism business, namely the problems of legal regulation of insurance in tourism. The analysis of the state of development of the problem in question shows that the issue of legal regulation of the insurance contract in general and the contract in tourism services, in general, is insufficiently studied. The article is devoted to topical issues of legal regulation of insurance in the field of tourism, the search for effective mechanisms to increase the liability of both underwriters and insurers. Therefore, insurance can be considered as one of the methods of preventing unfortunate consequences during the implementation of tourism activities. The author's vision of the content of the package of measures that can positively influence not only the development of the tourist industry in general but primarily to help identify those legal segments that need improvement in the future has been stated.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.261-271
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• 2022

Over the last 20 years, the insurance industry in Vietnam has been rapidly growing with an average annual growth rate of 21%, one of the most active markets in Southeast Asia, raising the question of efficiency to managers, investors, and regulators. This article is one of the first research works using Data Envelopment Analysis combined with the Malmquist index over the period from 2016 to 2020 for 37 insurance firms in Vietnam to investigate the efficiency of this sector. The value-added approach is employed with total equity and operating expenses as inputs, finance income, and gross written premium as outputs. The findings reveal that most of Vietnam's insurance companies are operating quite effectively, and the non-life sector is more efficient than the life sector. There is also a regression in efficiency change, while there is a progression in technological change and total factor productivity change during the period examined. The goal of this research is to give a fundamental understanding of the overall efficiency of insurance firms in Vietnam, and help managers, investors, policyholders, and government agencies make better decisions regarding self-assessment, M&A activities, deregulation... Consequently, the insurance sector could improve in terms of efficiency and develop sustainably over time.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.175-180
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• 2020

Through case studies for insurance service marketing using artificial intelligence(AI) in the insurtech industry, it investigated how innovative technologies(artificial intelligence, machine learning etc.) are being used in the insurance ecosystems. In particular, through domestic and international case studies, it was examined by Lemonade's service of insurance contracts and getting the indemnity and AI company's service of calculating the compensation through a medical certificate image based on OCR, which brought disruptive innovations using artificial intelligence. As a result of the case analysis, these services have drastically shortened the lead time of insurance contracts and payment through machine learning using numerous customer data based on artificial intelligence. And accurate and reasonable compensation was calculated in the estimation of indemnity, which has a lot of disputes between customers and insurance companies. It was able to increase customer satisfaction and customer value.

• 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.

• The Korean Journal of Financial Management
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• v.20 no.2
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• pp.263-291
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• 2003

The purpose of this paper is to analyse the change in the productivity of Korean life insurance industry by Generalized Malmquist productivity indices. Generalized Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The principal findings indicate an overall increase in productivity driven more by technical progress than pure technical efficiency and scale efficiency.