• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.159-173
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• 2017

In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.3
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• pp.1-15
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• 2018

Purpose - This study investigates the effect of MNEs' characteristics on the use of foreign currency denominated debt in the context of Korean firms. This study examines the relationship between MNEs and the use of foreign debt focusing on the accessibility to the capital market in addition to the motive of hedging against foreign exchange exposure. Research design and methodology - Probit estimation is employed for estimating significant factors in determination of the use of foreign debt by firms. The dependent variable is a dummy variable to indicate whether a firm uses foreign debt or not at the end of 2004. Independent variables include foreign subsidiaries ratio, export to sale, R&D expenditure to sale, and credit rating. Results - The results show that the interaction between the level of internationalization represented by intra-regional diversification and the strategic characteristics embedded in the region of entry affects the use of foreign debt. In case of a high level of diversification within the developing region with a strong pursuit of asset exploitation, MNEs are more likely to use foreign debt, whereas a high level of diversification within the developed region with a strong pursuit of asset seeking, MNEs are less likely to use foreign debt. Conclusions - The differences between MNEs in terms of intra-regional diversification, strategic orientation, and the accessibility to capital markets as well as the hedging motive affect the use of foreign debt.

• Proceedings of the Safety Management and Science Conference
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• 2005.11a
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• pp.569-579
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• 2005

International capital movement has made progress at global liberalization of finance and foreign exchange, international monetary norm changing into floating exchange rate system, easiness of collection of information and trade at improvement of information communication technology from early of 1970's. Results of empirical test for relation between foreign exchange rate or various determination factors of foreign exchange rate and interest rate are followed by next sentences. First, according to relation between foreign exchange rate and interest rate, correlation for each of variables after OECD entrance is increased. 'But, long-term & short-term interest rate is affected by Hanbo & Kia's bankruptcy, continuous large scale coporates bankruptcy and crisis of foreign exchange. Therefore, financial instability is occured. If portfolio investment fund has been inflow as it is mollified by continuous shortage of foreign exchange and fall of country's credit rating, it is expected to have positive effect for long-term & short-term interest rate from appreciation of won against dollar. Second, results from relation between determination factor of foreign exchange rate and interest rate are followed by next sentences. If surplus of current account and goods account is continued, yield of corporate bond is to be stable. But, margin of surplus is expected to diminish after second quarter 98, and difference between external and domestic interest (after adjusting foreign exchange rate) is to be diminished. And if net inflows of foreign investor's fund (stock and bond) is diminished, it is to have negative effect for yield of corporate bond. According to foreign investor's investment movement of previous years, hedge fund were stayed at least during two years in Mexico. It means that sudden capital outflow is not to be happened at Korea.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.407-417
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• 2010

In Basel II compliance, internal rating systems are allowed for banks to enhance the self control and the validation of the system are getting more important. The validation methods are composed of qualitative test and quantitative test, three basic standards of which are discriminatory power, stability and calibration. The aim of this article is to review the quantitative tests for calibration and find a new method for it. These methods for discrimination between forecasted PD and observed PD include binomial test, chi square test, Brier score, traffic lights approach, normal test and extended traffic lights approach. We introduce a modified extended traffic lights approach considering asset correlations.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.231-242
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• 2014

On the Pre-Housing-Sale Systems there are many risks that developers might not fulfill the pre-sale obligations. In korea, in order to protect the people who bought houses from these risk, the Housing Sold Guarantee System was introduced and has been operated. Even though this system if there is accident in the pre-sale warranty business, several problems, such as damages caused to the people who bought the houses, occurs. Therefore, research is needed to Housing Sold Guarantee accident factor. But there are few study about it. This study attempted to analyze influencers on the possibility of the accident. We employ 3,026 data which Korea Housing Guarantee Co., Ltd manages and analyze them empirically, using business characteristics, housing market characteristics, and regional characteristics. Especially this study used to the binary logistic regression model. The results of analysis showed that the accident rate of Housing Sold Guarantee had been effected on the business type, house type, project financing guarantee, operator credit rating, housing market, and regional characteristics.

• Plant Journal
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• v.9 no.1
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• pp.50-57
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• 2013

This study investigates the risks that can occur during the development stage of IPP project in developing countries. In case that ECA and MLA cannot participate due to poor credit rating of the country, the diversification of power purchaser in marginal states can be a great help to reduce both market risk and country risk at the same time. In case of thermal power plants and combined cycle power plants, the effect of performance degradation as time passed will be considered and expected profit of sponsors should be maintained. Recently, developing countries are expanding IPP projects to reduce the financing cost and Korean power companies are positively participating in IPP projects. Accordingly, the loss of Korean companies should be minimized by risk management through the risk mitigation methods of this study.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.197-205
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• 2015

Existing Web authentication method utilizes the resident registration number by credit rating agencies separating i-PIN authentication method which has been improved authentication using resident registration number via the real name confirmation database. By improving the existing authentication method, and it provides the available integrated ID authentication on Web. In order to enhance safety, the proposed authentication method by encrypting the user of the verification value, and stores the unique identifier in the database of the certificate authority. Then, the password required to log in to the Web is for receiving a disposable random from the certificate authority, the user does not need to remember a separate password and receives the random number by using the smart phone. It does not save the user's personal information in the database, and it is easy to management of personal information. Only the integration ID needs to be remembered with random number on every time. It doesn't need to use various IDs and passwords if you use this proposed authentication methods.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.51-55
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• 2019

기업신용평가(ICR : Issuer Credit Rating)는 기업의 금융상 채무에 대한 전반적인 적기 상환능력, 즉 채무불이행의 가능성을 평가한 것으로 오로지 금융상 채무에 대한 전반적인 채무상환능력을 평가한다. 최근에는 신용평가 등급이 금융시장과의 효과적인 의사소통수단으로 인식되고 기업 IR 및 홍보차원과 기업 간 물품공급과 납품을 위한 업체 선정시 신용등급이 적극적이고 다양하게 활용되고 있다. 이러한 기업신용평가는 최근 경제환경의 급속한 변화에 대응하여 기관별로 평가시스템을 자주 개선하고 있다. 본 연구에서는 정책금융기관 별로 변화된 평가시스템에 대한 평가지표나 구조, 평가시스템을 비교 분석해 그 차이점과 공통점 그리고 경제환경 변화에 따라 변화된 주요지표를 파악해 보고 미래의 신용평가시스템의 변화와 개선방안에 대해 생각하였다. 기관별 비교에서 평가시스템의 차이점은 신보는 신용평가(부실률 기반)와 미래성장성평가(성장성 기반)를 실시하여 보증심사등급(보증의사결정 등급)을 산출하고, 기술자산평가등급은 신용평가등급을 조정(최대 ${\pm}2$등급)하는 보조적 수단으로 활용하고 있으며, 기보는 기술평가(성장성 및 부실률 기반)와 리스크관리용 리스크평가(신보의 신용평가에 해당)로 평가체계를 이원화하여 운영하고, 평가모형은 신보는 객관성을 확보한 정량평가 위주, 기보는 공신력을 확보한 정성평가 위주의 주관적인 평가를 실시하고 있어 어떤 형태의 평가시스템이 더 좋은 평가방법 인지는 알 수 없지만, 기관별 부실율을 보면 다소 참고가 될 수도 있으나, 이것이 전적인 평가의 문제라 보기도 어렵다. 특히 신보는 창업기업 기준이 창업후 7년까지로 확대됨에 따른 창업 3단계 평가제도와 기업의 성장단계에 맞춘 성장단계별 평가기준 세분화는 기업환경을 잘 반영한 변화라 볼 수 있다. 그리고 향후 평가시스템은 경제환경의 변화속도를 어떻게 잘 반영 할 수 있는지에 대한 연구로 방향이 전개될 것으로 보인다.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.36-46
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• 2022

It takes a relatively long time for construction companies that lack the ability to finance to adapt to construction policy in the construction industry. However, financial institutions rarely provide financial products to construction companies, particularly small and medium-sized construction companies, because their security capacity and credit rating are low. This study investigates the financial products needed for small and medium construction companies to adapt to policy changes. The demand of small and medium construction companies for financial products is analyzed by experts' advise and survey. And, when the investigated financial products for the construction industry are introduced, the legal systems in need of revision are analyzed. Based on the analyzed demand and the number of legal systems needing revision, the priority for the introduction of financial products to the construction industry is analyzed. Among the financial products investigated, the priority of "Expert consultation, such as accountant, tax accountant, lawyer, etc." is the highest. In future studies, the criteria and method of financial product development for high-priority financial products could be researched.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.