• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.469-474
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• 2020

This study explains the characteristics of micro-insurance based on the theoretical model of health insurance, such as the low demand of low-income people and the lower demand of higher risk aversion. In particular, these characteristics contradict the existing insurance theory which states that the lower the income, the higher the risk aversion, and the higher the demand for insurance. This study postulates a two-period model focusing on health insurance, contrary to a one-period model assumed in existing studies. As a result, first, we show that the decrease in income leads to a decrease in the preventive effort for illness. Second, we offer a model for micro-insurance in which the individual chooses a partial insurance under an actuarially fair insurance premium, while full insurance is optimal in existing studies. Third, we also show that the insurance demand decreases when the outlook for the future improves. Fourth, we finally show that the lack of trust and default risk of the insurer decrease the insurance demand as risk aversion increases.

• The Korean Journal of Financial Management
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• v.17 no.2
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• pp.229-256
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• 2000

주식시장에서 환율위험프리미엄의 존재유무는 기업의 투자 및 자본조달, 외환헤징재무활동, 개인의 투자전략 등에 중요한 영향을 미치게 된다. 본 연구에서는 차익거래모형을 이용하여 우리나라 주식시장에서 환율위험노출을 측정하고, 그 환율위험이 시장에서 보상되는 위험인가를 검정한다. 전체 표본기간은 1980년부터 1998년까지이며, 외환자유화와 자본시장 개방이 본격적으로 이루어진 1992년 이전과 이후를 하위기간으로 구분하여 분석하였다. 표본하위기간의 설정, 다각적인 환율위험요인 측정, 다양한 모형설정과 복수의 통계추정방법의 적용 등을 통하여 환율위험 프리미엄의 유무에 관련된 신뢰성있는 결론을 도출하고자 하였다. 1980년대 표본전기 하위기간에는 주식시장에서 통계적으로 유의한 환율위험노출을 확인하기 어려웠으나, 외환자유화와 자산시장개방이 본격화된 표본 후기 하위기간에는 뚜렷한 환율위험 의 존재를 확인할 수 있었다. 후기 하위기간을 대상으로 시장위험과 실효환율위험만을 포함한 차익거래모형을 적용하였을 때에 통계적으로 유의한 환율위험 프리미엄이 확인되었다. 그러나 달러환율과 엔화환율위험을 별개의 환율위험으로 설정한 경우 각 환율위험에 개별적으로나 결합적으로 통계적으로 유의한 위험프리미엄을 발견하지 못하였다. 더구나, 실효환율위험에 추가하여 산업생산위험, 인플레이션위험, 기업부도위험 등의 기본적 경제요인 위험을 함께 통제변수로서 포함하여 차익거래모형을 적용하였을 때에도 환율위험 프리미엄은 존재하지 않았다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.23-32
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• 2022

This paper examines the effects of regulatory capital on a bank's profitability and risk. We employ annual data from Vietnamese commercial banks from 2005 to 2020 and use the dynamic GMM regression method to address the potential endogeneity issue, more suitable for panel data with relatively low time dimensions. Our panel regressions indicate that higher regulatory capital would significantly improve the bank's profitability and lower the bank risks. In particular, a one percent increase in the regulatory capital would significantly increase the bank's return on assets by 1.9%. We further explore the heterogeneous impacts of regulatory capital on the Vietnamese bank's performance across bank characteristics. We find that smaller, non-state-owned and non-listed banks would benefit from stringent regulatory capital requirements. The improvements in bank performance are mainly driven by reductions in the risk premium of the banks, resulting in lower funding costs and higher profitability. These findings are essential since Vietnam, as an emerging market, has only implemented the Basel II reform recently on a stable and fast-growing background rather than as a reaction to the global financial crisis. Thus, our empirical results support stringent regulatory capital in emerging countries to ensure a stable banking sector and boost economic growth.

• The Korean Journal of Financial Management
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• v.24 no.4
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• pp.75-106
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• 2007

In this study, it is analyzed whether oil price plays a major role in the pricing return on Koran stock market and examined why the covariance risk between oil and return on stock is different in each industry. Firstly, this study explores whether the expected rate of return on stock is pricing due to global oil price factors as a function of risk premium by using a two-factor APT. Also, it is examined whether spill-over effects of oil price volatility affect the beta risk to oil price. Considering the asymmetry of oil price volatility, we use the GJR model. As a result, it shows that oil price is an independent pricing factor and oil price volatility transmits to stock return in only electricity and electrical equipment. Secondly, the two step-analyzing process is introduced to find why the covariance between oil price factor and stock return is different in each industry. The first step is to study whether beta risk exists in each industry by using two proxy variables like size and liquidity as control variables. The second step is to grasp the systematic relationship between the difference of liquidity and size and beta to oil price factor by using the panel-data model which can be analyzed efficiently using the cross-sectional data formed with time series. Through the analysis, we can argue that oil price factor is an independent pricing factor in only electricity and electrical equipment having the greatest market capitalization, and know that beta risk to oil price factor is a proxy of size in the other industries. According to the result of panel-data model, it is argued that the beta to oil price factor augments when market capitalization increases and this fact supports the first assertion. In conclusion, the expected rate of return of electricity and electrical equipment works as a function of risk premium to market portfolio and oil price, and the reason to make beta risk power differentiated in each industry attributes to the size.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1215-1227
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• 2009

Underwriting refers to the process that the insurance company measures the potential risk of the future clients and decide whether insuring them with current premium. Although the traditional underwriting system used in Korean automobile insurance market is easy to understand, it is not based on a reliable statistical procedure. In this paper, we propose to apply the generalized additive model into construction of underwriting system, which is based on statistical analysis. We use automobile insurance data in Korea and apply our approach to the data. The results from the empirical analysis would be useful even for determining the significance of each variable in calculating automobile insurance premium.

• PNF and Movement
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• v.22 no.2
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• pp.257-266
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• 2024

Purpose: The aim of this study was to determine the influence of psychological and other risk factors on the recurrence of nonspecific neck pain. To achieve this, a nationwide cohort provided by the National Health Insurance Service in South Korea, with a three-year follow-up, was used. Methods: The study included patients who did not experience neck pain for the first year but were diagnosed with nonspecific neck pain (ICD-10 code: M54.2) in the second year. The progress of their neck pain recurrence was followed up for the next two years. Medical records, including age, gender, health insurance premium quintile, regional health vulnerability index score, initial onset duration, total hospitalization duration, and secondary diagnosis at onset, were extracted for analysis. Multivariate logistic regression analysis was performed to analyze the recurrence rate and risk factors for nonspecific neck pain recurrence. Results: Among a total of 591,215 patients, 29.2% experienced recurrence within two years. Patients with psychological disorders had a higher recurrence rate (30.6-33.8%) than those without psychological disorders (29.2%). Specifically, mood disorders (OR = 1.16) and stress-related disorders (OR = 1.06) were identified as risk factors for the recurrence of nonspecific neck pain. Older age (OR = 1.16-1.43), being female (OR = 1.17), being employed (OR = 1.23), and using medial aids (OR = 1.41) were also identified as risk factors. Conclusion: This study provides evidence for a high recurrence rate of nonspecific neck pain and highlights the need to consider psychological factors as well as personal factors in comprehensive interventions to prevent recurrent nonspecific neck pain.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.4
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• pp.244-248
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• 2012

We present a simple numerical method for pricing American put options under a constant elasticity of variance (CEV) model. Our analysis is done in a general framework where only the risk-neutral transition density of the underlying asset price is given. We obtain an integral equation of early exercise premium. By exploiting a modification of the integral equation, we propose a novel and simple numerical iterative valuation method for American put options.

• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.107-131
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• 2002

본 연구에서는 국내 자본시장의 개방이 광범위하게 진전된 1997년 외환위기 이후 기간을 대상표본으로 하여 한국주식시장에서 달러환위험에 대한 노출과 그 가격화 여부를 실증분석한다. 본 연구에서는 투자자들이 국내 주식시장 및 채권시장의 동향에 추가하여 미국신장의 움직임을 중요한 조건부 정보에 포함시켜 투자의사결정을 한다고 전제하고, 이에 상응하는 조건부 다중 베타위험 가격결정모형을 검정하였다. GMM추정의 초과식별조건을 이용하여 국내시장위험과 달러환위험 두 위험 요인을 포함한 가격결정모형의 모형설정오류를 검정한 결과 가격결정모형이 실제 주식수익률 자료와 배치되지 않는 것으로 나타났다. 조건부 달러환을 베타위험과 조건부 달러환위험 프리미엄은 모형에서 사전적으로 설정한 정보대용변수인 상수항과 한 시점 앞의 다우존스 주가지수 수익률, 국내시장 주가수익률 및 회사채 유통수익률에 의하여 설명이 이루어질 수 있고, 둘 다 시간가변적임이 결정되었다. 주식가격결정에 참여하고 있는 두 요인, 국내시장위험요인과 달러환위험요인의 상대적 중요성을 개략적으로 검정한 결과, 모든 포트폴리오에 걸쳐 국내시장위험요인이 더 큰 비중을 차지하고 있지만, 달러환위험요인도 무시할 수 없는 중요성을 가진 것으로 나타났다.

• The Korean Journal of Financial Management
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• v.18 no.2
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• pp.99-123
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• 2001

예금보험제도는 금융기관에 대한 예금자의 신뢰성을 보장해 주어 금융제도의 안정성을 유지시킨다는 면에서 유용한 제도이나 보험의 일반적인 속성인 도덕적 해이를 유발할 수 있다는 단점이 있으며, 이를 방지하기 위한 대안으로 예금보험료율을 금융기관의 위험에 따라 차등화 하는 위험예금 보험료율 제도가 검토되어 왔고 일부 국가에서는 이를 시행하고 있다. 위험예금보험료율을 결정하는 방안으로 그간 주가자료를 이용한 옵션가격결정모형이 주로 연구되어 왔는데, 본 연구에서는 Cox의 위험비례모형을 이용하여 은행의 위험을 측정하고 보험료율을 결정하는 방안에 관하여 연구하였다. 위험비례모형은 옵션가격결정모형과 달리 재무지표를 사용하므로 감독당국에서 실무상 적용하기가 용이하다는 등의 장점이 있다. 위험비례모형을 국내은행에 적용하여 실증분석한 연구결과 현행의 고정 예금보험료율은 국내은행의 위험에 비해 상당히 낮은 수준으로 나타났으며, 보험료율 결정에 가장 큰 영향을 미치는 변수인 은행 실패시 예금보험기구가 부담하는 손실비율을 최소화하기 위해서는 부실은행은 조기 퇴출시켜야 한다는 논리적 타당성도 도출하였다.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.245-253
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• 2020

If the conversion rate of jeonse price to monthly rent is the market interest rate or the landlord's expected return, then the conversion rate of jeonse price to monthly rent in the country should be the same. However, the conversion rate of jeonse price to monthly rent has always been higher than the market interest rate. This study identifies the supply cost components of rental housing as a risk premium in the presence of current housing prices, market interest rates, depreciation costs, holding taxes, and leases, and identifies the relationship between the current housing prices and each factor. Housing rent is expressed as the current price. This overcomes the shortcomings that implicitly assume fluctuations in housing prices or do not include current housing prices in the conversion rate of jeonse price to monthly rent. This study found that the conversion rate of jeonse price to monthly rent is the required rate of return or required rate of renter, not market interest rate, by expressing the supply cost of rental housing as a combination of components. This not only explained the fact that the conversion rate of jeonse price to monthly rent was always higher than the market interest rate, but also explained the regional differences. It also explained why the conversion rate of jeonse price to monthly rent varies by type of housing.