• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.39-50
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• 2014

After the global financial crisis, domestic construction industry has gone through a rapid recession. This resulted in gradual market shift towards architectural remodeling. Architectural remodeling not only improves residential environment but it has many advantages such as increase of each unit's exclusive area, free space within the horizontal or extension of an annex building, and increase number of household through splitting the household of bigger pyeong, etc. However, in case of the Korean market for apartment remodeling, due to various regulations and problem with business promotion procedures, majority of business is slow despite the figure that remodeling volume is not that small. Also, feasibility study which decides to push ahead public house remodeling business will have a flaw using net present value's law; it has a flaw of not considering properties of each phase of remodeling business and future's uncertainty. Hence, this research will improve the problem of traditional value assessment method of net present value's law. It will also consider one of the real options such as binomial model in order to supplement NPV which is used in current feasibility study. This research was based on real successful cases of public house remodeling and it was possible for feasibility study which was more realistic and valid. This research provided foundation for development of Korean public house remodeling market. There is high anticipation of increasing the validity by improving the problems of current feasibility study and economic efficiency assessment.

• 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.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.52
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• pp.119-135
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• 2011

Korea's trading volume is expected to surpass USD 1 trillion in 2011. Korean economy achieves this largely due to its dependence on export and enhanced technological capacity and product quality. Improved recognition of Korean enterprises in the global arena also helped. However, the largest reason behind theses could be found in exporters' ceaseless marketing endeavors and continued government supports. Today, more and more people become to rely on trade exhibitions to boost export effectively. Trade exhibitions are employed as a useful tool to attract buyers and enter a market. This is because such exhibitions' marketing effect and professional aspects. South Korean export relies on large conglomerates for most part. However, 95% of the country's entire industry are small and medium-sized companies. This means that SMEs' export has a huge impact on the national economy. Therefore, as a way to improve SME export and minimize their losses, we need to use trade exhibitions more actively. The overseas policy insures only promotional activities regarding foreign exhibition and fair (including international events held in Korea), foreign distributor, shopping mall, home shopping, etc. and does not include air fare, traffic cost in the local place, accommodation cost and dining expenditures as costs to be excluded mentioned above. It is not easy for them to take part in events abroad if they have to pay for such expenses. If full financial support is difficult, the Korea trade insurance corporation still may give a certain level of aid for successful exporters to engage in marketing activities abroad more actively and further stimulate SMEs' export.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.45-55
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• 2015

This study used for KOSPI, KOSDAQ, entertainment culture and digital contents index that is related to cultural contents industry. There was investigated the each stock price index and return trends for a total 597 weeks to July 2015 from March 2004. They looked the content-related stocks about investment worth to comparative analysis the return, volatility, correlation, synchronization phenomena etc. of each stock index. When we saw the growth potential of the cultural contents industry forward, looked forward to the investment possibility of related stocks. Analysis Result cultural content related stocks showed a higher rate after the last 2008 global financial crisis. Recent as high interest in the cultural contents industry, we could see that the investment merit increases slowly. In the future, the cultural content industry is expected to continue to evolve. The increase of investments value in the cultural content related businesses is much expectation.

• International Commerce and Information Review
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• v.14 no.3
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• pp.209-227
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• 2012

Northeast Asia where is an epicenter of the global financial crisis's conquest is traditional imbalanced region of oil production and consumption. In recent years, the region has been suffered by the shortage of oil storage and transportation facilities due to surging oil trading and necessity in strategic reserves. Therefore, since independent petroleum logistics with the storage facilities and oil trading hub is required to form efficient oil market in this region. In this study, we analyzed the efficiency of refinery facilities by country that is of importance in being a logistics hub in Northeast Asia by employing non-static and dynamic efficiency analysis, which are a part of DEA(Data Envelopment Analysis) and then policy implications have been drawn. The result illustrates Korea's is the highest country in terms of efficiency of oil refining facilities in Northeast Asia. It implies that Korea has strong position to be the oil hub in Northeast Asia.

• International Commerce and Information Review
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• v.11 no.2
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• pp.149-172
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• 2009

Service industries nowadays have become the subject of a scientific research. However, unlike research on manufacturing, there has not yet been a broader presentation of important aspects theoretically and methodologically. The importance of service sector in both national and global economies has grown significantly. An active participation of service industries in the internationalization process, notably by licensing and FDI, has occurred over time. But a few sub-sectors still dominate on this process, for example, financial institutions such as banks, securities, and insurance as well as producer services in advertising and accounting. On the other hand, personal services that are owned by small- and medium- sized firm have limited capabilities in their transnational transfer. This paper attempts to examine various factors influencing decisions for these small- and medium- sized Korean beauty firms in entering to the foreign markets. Determining factors for these firms in the engagement of internationalization depends largely on competitive advantages in both domestic and host countries, and they may be different from those in the sub-sectors mentioned above. Based on previous researches, i identified three categories of independent variables(characteristics of firms, managers, and competition) that can influence decisions to enter to the foreign markets. Seven hypotheses have been tested by using a sample of beauty firms in Daegu city and Kyungbuk province. The results show that the intention of these firms to enter to the foreign markets is significantly influenced by the factors of the innovative character of CEO's, the competitiveness of firms, and size of firms.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.25-49
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• 2013

As global competition for green car, that is environmentally friendly car, is getting tougher, the governments and the related industries are putting their core efforts in its diffusion. However, the green car sales are disappointing so far. To overcome the gridlock, it is necessary to develop concrete analytical framework to understand the diffusion process. Based on causal loop analysis from the previous work, we have identified main variables and relationships of them in the diffusion process and developed a stock-flow diagram and mathematical formula for the main components. The model would be applied for further quantitative simulation on the diffusion process of green car and other innovative goods as well. Also, we have suggested constructive insights for the policy makers and for the related industries. First, it is important to increase consumers' willingness to consider through marketing and word of mouth to accelerate the diffusion process. Second, in the perspective of the industry, the market share of green car should be increased at the earliest possible stage and this could be done by enhancing each components of green car attractiveness(e.g. price, driving range, social infra). Third, companies should develop a balanced investment between consumer and technology sector through a flexible financial policy. Fourth, the government continuously has the role of investing in the related R&D and social infra building. We expect the green car diffusion model and related formula from the research can provide meaningful tools to analyze the diffusion process of other new and innovative goods based on its deep researched literature review.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.161-170
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• 2013

The FX (Foreign Exchange) is a form of exchange for the global decentralized trading of international currencies. The simple sense of Forex is simultaneous purchase and sale of the currency or the exchange of one country's currency for other countries'. We can find the consistent rules of trading by comparing the gradient boosting method and the decision trees methods. Methods such as time series analysis used for the prediction of financial markets have advantage of the long-term forecasting model. On the other hand, it is difficult to reflect the rapidly changing price fluctuations in the short term. Therefore, in this study, gradient boosting method and decision tree method are applied to analyze the short-term data in order to make the rules for the revenue structure of the FX market and evaluated the stability and the prediction of the model.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.147-164
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• 2009

The short-term impact of the recent depreciation of Korean Won on the cost of the Korean logistics industry, which was caused by the global liquidity crisis began from the American financial market in 2007, is analyzed through the inter-industry analysis. The input-output data of the 2007 benchmark input-output accounts table which was most recently published by the Bank of Korea in 2009 have been utilized for the analysis. The results show that the cost of the Korean logistics industry as a whole rises 4.24% when the Korean exchange rate is depreciated by 10%. The impact of the depreciation of Korean exchange rate on the cost of the Korean logistics industry for December, 2007 ~ December, 2008 is estimated to be about 31.1 billion Won. If the Korean logistics companies should cover the rising cost of 11.7 billion Won only through sales promotion, then they should sell 1.9 times as much their current sales amount, which means 101.6 billion Won's worth of sales should be made.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6315-6324
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• 2015

This study analyses the effects of household finances on rental price of apartment in Seoul which play a major role in real estate policy. We estimate VAR models using time series data. Economy variables such as sales price of apartment in Seoul, consumer price index, hiring rate, real GNI and loan amount of housing mortgage, which relate to household finances and influence the rental price of apartment, are used for estimation. The main findings are as follows. In the short term, the rental price of apartment is impacted by economy variables. Specifically, Relative contributions of variation in rental price of apartment through structural shock of economy variables are most influenced by their own. However, in the long term, household variables are more influential to the rental price of apartment. These results are expected to contribute to establish housing price stabilization policies through understanding the relationship between economy variables and rental price of apartment.