• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.135-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules as a rule generating data mining technique. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by association rule mining. We expect that the sets of rules generated by association rule mining could act as an estimator of good or bad credit status classifier and basic component of early warning system.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.149-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules that ore generating method. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by using association rules. We expect that the sets of rules generated by association rules could act as an estimator of good or bad credit status classifier.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3768-3774
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• 2009

This paper explored how soft information and hard information were used when SBC(Small Business Corporation, Korea) reviewed government loan applications. The data set is made up of financial and non-financial data of small-business firms since 2004. A non-financial data set is considered as soft information. Relative importance of three kinds information such as credit information, soft information, financial information is compared with each other by using the logit model. As a result, credit information is most critical to the loan approval, and then soft information follows, lastly financial information has the smallest effect on the loan approval. This is because the credit information is made up of the non-linear combination of soft information and financial information. When the relative importance of soft information and financial information is considered, soft information is relatively more critical to the loan approval then financial information. This is because financial ratios provided by small-business firms are not reliable enough.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.77
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• pp.113-144
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• 2018

This study explores how to prevent the fraudulent export financing and its subsequent export insurance fraud in relation to O/A negotiation. Under the traditional letter of credit(L/C) transactions, the banks, as a negotiation bank, can extend trade financing to the exporters through negotiation of draft and/or shipping documents. Under the O/A transaction scheme, however, bank cannot ascertain existence of trade performance and it is much riskier to extend an advance financing to the exporters before the buyer sends confirmation of debt. In O/A negotiation. some exporters tried to fraud banks by falsifying the shipping documents and the size and gravity of this fraudulent export financing were huge. Therefore, this study examines the banking process in O/A-based trade financing, documents examination process, the negotiation of instruments, treatment of trade financing in export credit guarantee, most importantly, explores what could be the criteria for appropriate treatment of account receivable to insure the safe transfer of account receivable. To maximize the benefit for optimum trade financing, the Bank of Korea established several Trade Finance Rules (refers to "BOK Rules") requiring that commercial banks should maintain optimal credit limits(so called, 'the principle of optimal loan') to extend the trade finance. The K-sure post-shipment credit guarantee programs and short-term export insurance program(EFF)can also facilitate 'the principle of optimal loan' principle.

• Journal of the Korean Regional Science Association
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• v.32 no.4
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• pp.75-90
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• 2016

It is unique from other financial institutions that credit unions in Korea have been developed as voluntary activity for enhancing the financial access of the poor in 1960s. However, currently some raise criticism that the cooperative identity as voluntary movement has been weaker. This paper endeavor to analyze the growth of credit unions during 2000s and explain what the implications of their growth are, using data from National Credit Union Federation of Korea. Our findings are as follows; firstly, the development of credit unions in 2000s are able to be regarded as a reflection of the rationale of advocate for quantitative growth. Secondly, the growth of credit unions are mostly dependant on non-taxable deposit, large loan, and collateralized loan which can lead to weaken the identity as voluntary cooperatives. Thirdly, the strategy of quantitative growth cannot be helpful for soundness of asset and profitability, eventually weakening their sustainability.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.129-138
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• 2021

Several studies have revealed that information on borrower characteristics plays an important factor in approving their credit requests. Though the extent to which such characteritics are also applicable to the case of fintech lending remain uncertain. The aim of this study is, thus, to investigate the determinant factors that influence MSEs in obtaining credit through fintech lending. Here, we emphasize virtual trust in fintech lending encompasing the dimension of social network, economic attributes, and risk perception based on several indicators that are used as proxies. Primary data used in the study was gathered from an online survey to the respondents of MSEs in Java. The result of the study indicates that determinants of MSEs in obtaining credit from lender through fintech lending are statistically influenced by internet usage activities, borrowing history, loan utilization, annuity payment system, completeness of credit requirement documents and compatibility of loan size with the business need. These factors have a significant effect on credit approval because they can generate virtual trust of fintech lender to MSEs as potential borrowers. It concludes that the probability of obtaining fintech loans in accordance with their expectations are influenced by the dimensions of social network, economic attributes and risk perception.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.105-115
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• 2020

The study empirically examines the effects of loan portfolio diversification on bank risk and return in the nascent banking market of Vietnam. Loan portfolio diversification is captured through the Hirschman-Herfindahl index and the Shannon Entropy with sectoral exposures. We access each bank's financial reports to collect the required data, especially the breakdown of sectoral loan portfolios, thus constituting a unique dataset. To compute bank return, we use the traditional accounting indicators, including return-on-assets, return-on-equity, and net-interest margin. For bank risk, we utilize the loan-loss provisions and non-performing loans relative to gross customer loans. Using a sample of 30 commercial banks over the period from 2008 to 2019 and the system generalized method of moments estimator for the dynamic panel, we indicate the downsides of portfolio diversification. Concretely, we observe that all diversification measures exhibit significantly negative signs in all regressions across different bank return proxies. At the same time, the estimates display the significant and positive impact of diversification on the non-performing loan ratio. Hence, sectoral loan portfolio diversification significantly hampers bank performance in both aspects of lower return and higher credit risk. The results are robust across a rich set of bank performance and portfolio diversification measures.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1293-1305
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• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• Asia-Pacific Journal of Business
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• v.2 no.2
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• pp.61-78
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• 2011

Credit derivative is one kind of arrangement which allows one party to transfer, for a premium, the defined credit risk, computed with reference to a notional value, of a reference asset which may or may not owned by one or more other parties. Credit Default Swaps(CDS) have existed since the early 1990s, but its use has become increasingly popular over time. CDS is the fastest growing segment of the privately negotiated derivatives business as many firms depend on it to efficiently manage the financial market risks inherent in economic activities. The diversification function is especially important for active CDS market participants as banks. CDS banks can achieve their loan portfolio diversification which provides them with increased capacity to expand their lending.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.37-50
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• 2018

This paper examines the relationship between diversification and financial performance of community credit unions in Korea from 2011 to 2017. To do so, I employ fixed-effects panel analyses using credit union level panel data collected from the National Credit Union Federation of Korea. This study finds evidence that business diversification is likely to lower the ratio of troubled loans, which means improving asset quality of credit unions. However, the relationship between diversification and asset quality is not linear but nonlinear, which means over-diversification would have negative effects on asset quality. Next, diversification tends to increase profitability. Specifically, although diversification results in a rise in expenditures, an increase in profits made by diversification outweighs the rise in expenditures, which contributes to profitability. Put together, diversification would be a good business strategy to improve both profitability and asset quality. Given a result that fast loan growth deteriorates asset quality, credit unions' managers might adopt the diversification strategy to enhance asset quality, and not to pursue their own objectives motivated by moral hazards.