• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.123-139
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• 2019

The Korean NPL market was formed by the government and foreign capital shortly after the 1997 IMF crisis. However, this market is short-lived, as the bad debt has started to increase after the global financial crisis in 2009 due to the real economic recession. NPL has become a major investment in the market in recent years when the domestic capital market's investment capital began to enter the NPL market in earnest. Although the domestic NPL market has received considerable attention due to the overheating of the NPL market in recent years, research on the NPL market has been abrupt since the history of capital market investment in the domestic NPL market is short. In addition, decision-making through more scientific and systematic analysis is required due to the decline in profitability and the price fluctuation due to the fluctuation of the real estate business. In this study, we propose a prediction model that can determine the achievement of the benchmark yield by using the NPL market related data in accordance with the market demand. In order to build the model, we used Korean NPL data from December 2013 to December 2017 for about 4 years. The total number of things data was 2291. As independent variables, only the variables related to the dependent variable were selected for the 11 variables that indicate the characteristics of the real estate. In order to select the variables, one to one t-test and logistic regression stepwise and decision tree were performed. Seven independent variables (purchase year, SPC (Special Purpose Company), municipality, appraisal value, purchase cost, OPB (Outstanding Principle Balance), HP (Holding Period)). The dependent variable is a bivariate variable that indicates whether the benchmark rate is reached. This is because the accuracy of the model predicting the binomial variables is higher than the model predicting the continuous variables, and the accuracy of these models is directly related to the effectiveness of the model. In addition, in the case of a special purpose company, whether or not to purchase the property is the main concern. Therefore, whether or not to achieve a certain level of return is enough to make a decision. For the dependent variable, we constructed and compared the predictive model by calculating the dependent variable by adjusting the numerical value to ascertain whether 12%, which is the standard rate of return used in the industry, is a meaningful reference value. As a result, it was found that the hit ratio average of the predictive model constructed using the dependent variable calculated by the 12% standard rate of return was the best at 64.60%. In order to propose an optimal prediction model based on the determined dependent variables and 7 independent variables, we construct a prediction model by applying the five methodologies of discriminant analysis, logistic regression analysis, decision tree, artificial neural network, and genetic algorithm linear model we tried to compare them. To do this, 10 sets of training data and testing data were extracted using 10 fold validation method. After building the model using this data, the hit ratio of each set was averaged and the performance was compared. As a result, the hit ratio average of prediction models constructed by using discriminant analysis, logistic regression model, decision tree, artificial neural network, and genetic algorithm linear model were 64.40%, 65.12%, 63.54%, 67.40%, and 60.51%, respectively. It was confirmed that the model using the artificial neural network is the best. Through this study, it is proved that it is effective to utilize 7 independent variables and artificial neural network prediction model in the future NPL market. The proposed model predicts that the 12% return of new things will be achieved beforehand, which will help the special purpose companies make investment decisions. Furthermore, we anticipate that the NPL market will be liquidated as the transaction proceeds at an appropriate price.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1263-1274
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• 2013

VaR (value at risk), which represents the expectation of the worst loss that may occur over a period of time within a given level of confidence, is currently used by various financial institutions for the purpose of risk management. In the majority of previous studies, the probability of return has been modeled with normal distribution. Recently Chen et al. (2010) measured VaR with asymmetric Laplacian distribution. However, it is difficult to estimate the mode, the skewness, and the degree of variance that determine the shape of an asymmetric Laplacian distribution with limited data in the real-world market. In this paper, we show that the VaR estimated with (symmetric) Laplacian distribution model provides more accuracy than those with normal distribution model or asymmetric Laplacian distribution model with real world stock market data and with various statistical measures.

• The Korean Journal of Financial Management
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• v.14 no.1
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• pp.249-267
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• 1997

1996년 법률 제정을 거쳐 1997년 1월 1일 시행된 우리나라의 예금보험제도는 고정보험료 율방식을 채택하고 있다. 국정료율방식(國定料率方式)의 예금보험제도(預金保險制度는) 보험료 산출과 행정비용 등이 적게 들고 도입 및 운영이 용이하다는 장점이 있으나, 가입 금융기관의 도덕적위험(moral hazard)을 초래한다는 중대한 단점을 동시에 가지고 있다. 도덕적위험은 은행으로 하여금 고위험, 고수익을 추구하게 하여 결과적으로 위험이 낮은 은행으로부터 높은 은행으로 부가 이전되는 효과와 높은 위험을 가진 은행에게 오히려 낮은 보험료가 부과되는 부의 왜곡현상을 초래한다. 본 논문은 이와 같은 고정보험료율제도의 단점을 극복하는 장치인 은행위험에 근거한 차등 보험료율제도 즉, 위험조정보험료율제도의 핵심이라 할 수 있는 위험조정예금보험료(RADIP)를 실증적으로 추정해 내는데 그 목적이 있다. RADIP추정은 먼저 은행위험의 측정이 필수적인데, 은행위험인 자산수익률의 표준편차는 실제적으로 산출이 불가능하다. 따라서 이를 위해 본 논문에서는 Problem-Solving FORTRAN 프로그램인 'IMSL'을 사용한다. 그리고 측정된 은행위험을 기초로 RADIP가 최종적으로 측정되며, 이는 향후 고정료율보험료방식의 우리나라 예금보험제도가 차등료율보험료방식으로 전환될 경우 각 은행의 적정 예금보험료를 산출하는 합리적 기준이 될 것으로 생각된다.

• Journal of Climate Change Research
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• v.1 no.3
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• pp.219-226
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• 2010

This study is analyzed the financial feasibility of biomass power plant in China in terms of fuel marginal price of biomass power plant. The range of fuel price is 150~300 RMB and IRR(Internal Rate of Return), NPV(Net Present Value), DSCR(Debt Service Coverage Ratio) and operation time are analyzed by 10 RMB from 150 RMB. The sensitivity of IRR went down by 1.35 on average. The sensibility of NPV showed big difference by 20% on 260 RMB and 270 RMB. In addition, DSCR of loan is at 1.0 at raw cost of 242 RMB and at lower than 1.0 when the raw cost over 242 RMB. It means that the pay-off of principal and interest of the loan is expected to be difficult in that case. The operation time of power plant should be 88% against standard operation time to maintain over 1.0 of DSCR. Therefore, the factors affecting the cost of raw material to build the power plant and to operate it should be prioritized.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.287-310
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• 2014

Due to the toughening intelligence-based competitions among nations, it has become important to industrialize R&D results. To industrialize R&D results through technology transfer, the transfer fee between a technology developer and a company should be discussed. While discussing the transfer fee, the results of technology valuation have been used. However, due to the unreliability of its result, the technology transfer market has not been expanded. In this paper, we discuss the improvement of the reliability of the technology valuation method to expand the technology transfer market. The proposed scheme provides graph-type technology valuation results according to various industrial scenarios using objective technology and market data. With the use of the proposed scheme, the technology developer and the consumer (i.e., the company) can determine the appropriate technology transfer fee. Thus, the proposed scheme is expected to contribute to the expansion of the technology transfer market.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.5
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• pp.703-711
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• 2018

Recently, as various metro lines have been constructed and connected to other lines the rate of utilization has also been increased. However, the existing fare policy which the government does still stick to causes not only inappropriate action to the demand pattern but aggravation of the profit of the operation company. This study reviewed rail fare policy of major countries such as Japan and U.K etc. to improve the rationality of fare policy in Korea. In order to systematical analysis of fare policy, such viewpoints as of fare decision method, the card fare discounting system, the structure of fare, and the government subsidy policy were reviewed. Based on the results from the review, various problems and improvement plans were drawn. Through this study, appropriate fare systems to urban railway users could be given to improve the chronic deficit problem of urban railway operators.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.122-130
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• 2001

The purpose of this study is to find the economic effect of educational investment. In order to finding this. I have investigated to historical background of educational investment and as the method of analysis I examined the rate of return approach such as the residual approach. and the simple correlations approach. Historically, economics of education has concentrated on surrounding the relationship between education and economy, which the implicit assumption that investment in education contributed to increase the quality and productivity of the labor force and thus raise future individual and national income levels. First of all, at this paper I found to need boldness to increasing the amount of education budget annually and also positively studying about economics of education in Korea for high and good quality analysis of expansion economy and education.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.588-597
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• 2021

In Korea, the standard for calculating the profit of a general insurance, which constitutes the loading in the premium, is not specified, and most of the non-life insurance companies reflect 2~5% of the premium as profit margin. Although the transparency of pricing is required due to the nature of insurance products, there are insufficient standards and empirical studies on the determination of insurance price factors in the domestic insurance industry. In this study, we propose a method of calculating the expected profit margin of general insurance. A way for calculating the expected profit margin of the general insurance is to reflect the shareholder demand on the capital that the insurance company should secure against the risk of loss due to the profit/loss volatility, as a ratio to the insurance premium. Shareholders should be compensated for the risks associated with their insurance operations, and the opportunity cost of these shareholders is to be reflected in premiums. In this study, we calculate the amount of capital that the company should accumulate to prepare insurance risk for each product, and insurance risk is defined as the volatility of insurance operating profit/loss. And insurance risk is calculated using stochastic simulation based on Dynamic Financial Analysis (DFA) methodology. Finally, we calculate the expected profit margins for 25 products and analyzed the difference between those and the profit ratio of domestic general insurance.

• The Korean Journal of Financial Management
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• v.22 no.1
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• pp.119-146
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• 2005

This study applies extreme value theory to get extreme value-VAR for Korean Stock market and showed the usefulness of the approach. Block maxima model and POT model were used as extreme value models and tested which model was more appropriate through back testing. It was shown that the block maxima model was unstable as the variation of the estimate was very large depending on the confidence level and the magnitude of the estimates depended largely on the block size. This shows that block maxima model was not appropriate for Korean Stock market. On the other hand POT model was relatively stable even though extreme value VAR depended on the selection of the critical value. Back test also showed VAR showed a better result than delta VAR above 97.5% confidence level. POT model performs better the higher the confidence level, which suggests that POT model is useful as a risk management tool especially for VAR estimates with a confidence level higher than 99%. This study picks up the right tail and left tail of the return distribution and estimates the EVT-VAR for each, which reflects the asymmetry of the return distribution of the Korean Stock market.

• Environmental and Resource Economics Review
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• v.23 no.3
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• pp.497-513
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• 2014

Rate-of-return regulation where a regulator compensates the utilities based upon the cost incurred the regulated companies have the incentive to over-report cost level. However, in case of cost-based competition where a regulator knows the cost of each plant involved and induce the competition among them, one can encounter prisoner's dilemma situation in the short run where the regulated firms under-report cost level. For instance, in case of cost-based pool, a generator may have a strategic behavior to keep its registered variable cost higher than the actual level to maintain its operation rate and generation amounts higher. Eventually, however, such behavior decrease the profitability of a generator and discourage new entry jeopardizing required level of capacity reserves. This is a typical Prisoner's Dilemma situation. The power market operating rule should be revised so that generators' registered variable cost reflect actual level of variable cost.