• The Journal of Information Systems
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• v.14 no.1
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• pp.41-65
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• 2005

The credit ration is a significant area of financial management which is of major interest to practitioners, financial and credit analysts. The components of credit rating are identified decision models are developed to assess credit rating an the corresponding creditworthiness of firms an accurately ad possble. Although many early studies demonstrate a priori which of these techniques will be most effective to solve a specific classification problem. Recently, a number of studies have demonstrate that a hybrid model integration artificial intelligence approaches with other feature selection algorthms can be alternative methodologies for business classification problems. In this article, we propose a hybrid approach using rough set theory as an alternative methodology to select appropriate attributes for case-based reasoning. This model uses rough specific interest lies in lthe stable combining of both rough set theory to extract knowledge that can guide dffective retrevals of useful cases. Our specific interest lies in the stable combining of both rough set theory and case-based reasoning in the problem of corporate credit rating. In addition, we summarize backgrounds of applying integrated model in the field of corporate credit rating with a brief description of various credit rating methodologies.

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.79-106
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• 2016

This paper investigates the effectiveness of public credit guarantee programs and interest-support programs for SMEs (small and medium enterprises). First, assuming that there is an imperfect information structure in the SME loan market, we analyze how SME support financial programs affect the corporate decisions made by SMEs with regard to default or loan sizes. In addition, this paper theoretically computes the optimal levels of credit guarantee amounts and the interest-support spread under equilibrium with imperfect information in a competitive loan market. Second, the paper empirically analyzes the continuous policy-treatment effect with the GPS (generalized propensity score) method. In particular, we consider the ratio of guaranteed debt to the total debt as a continuous policy treatment. The empirical results show that marginal effects of a credit guarantee on SMEs' productivity, profitability, and growth potential decrease with the ratio of guaranteed debt to the total debt. In addition, the average effect of a credit guarantee is maximized when this ratio is at 50% to 60%.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.277-280
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• 2000

Credit evaluation is one of the most important and difficult tasks fur credit card companies, mortgage companies, banks and other financial institutes. Incorrect credit judgement causes huge financial losses. This work describes the use of an evolutionary-fuzzy system capable of classifying suspicious and non-suspicious credit card transactions. The paper starts with the details of the system used in this work. A series of experiments are described, showing that the complete system is capable of attaining good accuracy and intelligibility levels for real data.

• International Journal of Human Ecology
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• v.15 no.2
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• pp.59-67
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• 2014

Consumer information influences purchasing behavior; however, less is known about the relationship in the credit market. Credit markets offer consumers a complex array of different products when choosing mortgages. The current study examines whether borrowers search for the very best terms when making major decisions about borrowing money or obtaining credit as well as explores the relation between consumer information seeking and the cost of credit. This study demonstrates the existence of price dispersion between those who made an extensive information seeking and those who did not. When controlling for the proxies of creditworthiness and demographics of the respondents, it is found that those who made a great deal of information seeking tend to have lower mortgage rates than those who made almost no information seeking. This study offers financial educators and policy makers suggestions on how to help consumers make better financial decisions.

• The Journal of Information Technology
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• v.8 no.3
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• pp.11-23
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• 2005

This paper study the way of increasing the credit loan for the Venture Companies. They are very important in national economics. But they are short of financial and mortgage although they have many kinds of superb ideas and technologies. Korean government has tried to financially support them. But the support has had its own limit. Banks and other financial institutions have not been in a positive position to loan money out to venture companies because their businesses are highly risky. The credit evaluation system of medium and small business are need to improve in order to increase the Venture Companies. loan. So, it is necessary to find new measures to activate credit loans to them.

• Knowledge Management Research
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• v.21 no.2
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• pp.21-40
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• 2020

Korea Credit Guarantee Fund(KODIT) is a public financial institution under the provision of the Korea Credit Guarantee Fund Act. Facing the waves of change both locally and globally, KODIT will serve as 'social value creator' in making a paradigm shift from a large corporation(Conglomerate-dominated) economy to a social enterprise-oriented one based on social economy. This study focuses on the supporting service programs for social enterprises and job creation how it affects the performance of social value creation of KODIT. There is currently no detailed research of the social value in terms of the business and management academic agenda. Therefore, the present study describes the importance of social value creation on the policy financial institution. This study conducted in-depth case study for social value performance. As a public policy financial institution, KODIT exert diverse efforts to correct market failure and achieve inclusive growth. For example, KODIT extends credit guarantee services for the liabilities of promising corporations and stimulates financial and non-financial supporting programs for social enterprises. Although the role of social value and social economy has gained business field attention, few investigations have been conducted to explain how social value is achieved. The present study can thus act as the foundation for exploring the social value creation in the circumstances of public financial institution.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.273-280
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• 2021

Financial behavior and financial well-being are two closely related aspects of an individual's financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.2
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• pp.265-285
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• 2016

This paper analyses the regional financial market of Kyungbuk-East Coast region. The result shows that the credit unions do not do much for easing the credit constraints of small firms in the region. Many papers suggest that it is necessary for them to adhere closely to the regional economy. But they do not do their best to collect borrowers' private informations. Instead they rely on the credit scoring system to assess their creditworthiness and require collaterals to reinforce their weak credits. That is the real root of weak competitiveness of credit unions. To overcome such a problem they need to actively participate in the development of the regional economy, bearing in mind the cooperative principles, especially commitment for the community. On the other hand the government should contrive plans to foster them. When they function actively the regional financial market will become efficient and the regional economy grow smoothly.

• Information Systems Review
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• v.23 no.1
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• pp.69-91
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• 2021

Credit Bureaus in Korea commonly use financial transaction information of the past and present time for calculating an individual's credit scores. Compared to other rating factors, the repayment history information accounts for a larger weights on credit scores. Accordingly, despite full redemption of overdue payments, late payment history is reflected negatively for the assessment of credit scores for certain period of the time. An individual with debt delinquency can be classified into two groups; (1) the individuals who have faithfully paid off theirs overdue debts(Normal Repayment), and (2) those who have not and as differences of creditworthiness between these two groups do exist, it needs to grant relatively higher credit scores to the former individuals with normal repayment. This study is designed to analyze the factors of normal repayment of Korean financial debt delinquents based on credit information of personal loan, overdue payments, redemption from Korea Credit Information Services. As a result of the analysis, the number of overdue and the type of personal loan and delinquency were identified as significant variables affecting normal repayment and among applied methodologies, neural network models suggested the highest classification accuracy. The findings of this study are expected to improve the performance of individual credit scoring model by identifying the factors affecting normal repayment of a financial debt delinquent.

• East Asian Economic Review
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• v.20 no.3
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• pp.391-423
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• 2016

By examining the relationship between private credit growth and the possibility of credit risk while focusing on international capital in 21 countries over the period 2000:1Q-2015:2Q, this paper shows that the impact of private credit growth on credit risk is apparent under the high ratio of capital inflows, and its impact on credit risk in the seven Asian countries is even stronger. And the possibility of credit risk caused by private credit is mainly coming from portfolio inflows rather than direct inflows. Finally, portfolio inflows strengthen the positive relationship between credit excess and credit risk in Asian countries, and this trend is seen more in these after the global financial crisis. Taken together, the stronger positive relationship between credit excess and credit risk can be strengthen under the massive portfolio inflows in particular in the seven Asian countries such as Hong Kong, India, Indonesia, Korea, Malaysia, Singapore, and Thailand.