• 무역상무연구
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• 제52권
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• pp.25-44
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• 2011

Possibility of credit risk, foreign exchange risk and interest rate risk of exporter increases in the recent international Commercial transactions, due to financial crisis of Europe and liberalization of Middle East. Under this circumstance, Forfaiting is trade finance that forfaiter purchase negotiable debt instrument without recourse from exporter, which occurred related with international commercial transactions, and credit risk, contingency risk, foreign exchange risk and interest rate risk of exporter can be transferred to forfaiter. Forfaiting is typically medium-term finance(three to five years) concluded at fixed interest rate, although it can also arranged on a floating interest-bearing basis for periods from six months to ten years or more. But Forfaiting service of Korea has limitation as follows. First, forfaiting in Korea deals with unrestricted irrevocable documentary credit as debt instruments. Period that forfaiting is provided is short and amount of money is limited, compared with advanced forfaiting. But forfaiting provided in advanced countries deals with various methods such as guarantee for bill, payment guarantee, and can be resold in financial market. Recently importance of forfaiting is increasing in international commercial transactions. Therefore profound study on forfaiting is required. The study will examine the risk that happens to the concerned parties in forfaiting, and its management measures. The study adopted literature review method such as local and foreign books and papers about trade finance, internet information about forfaiting, and professional journal related with international finance.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2005년도 추계학술대회 및 정기총회
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• pp.441-456
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• 2005

The purpose of this paper is to introduce the concept of negative DEA, which aims at identifying worst performers by placing them on the efficient frontier, This paper also proposes to use a layering technique instead of the traditional cut-off point approach, since this enables incorporation of risk attitudes and risk-based pricing. The results of the empirical application on credit risk evaluation validate the method which is proposed in this paper.

• 한국경영과학회지
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• 제37권2호
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• pp.17-29
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• 2012

We examine a mortgage bank's incentive distortion problem when the bank sells its existing loan through MBS(Mortgage-Backed Security), considering the mortgage market structure and varying investors' risk attitude. Main findings in our comparative statics are the followings. The bank's monitoring incentive on the loan sold is distorted downwards when the deposit interest rate is lower than the coupon rate of MBS. Credit enhancement associated with the loan sale may mitigate the incentive distortion problem. However, the downward distortion of monitoring incentive does not disappear unless the credit enhancement, a loan guarantee, is provided up to 100%. Finally as the investors' risk preference changes from risk-neutral to risk-averse type, the incentive distortion problem becomes more severe. At the end, we recommend the introduction of covered bond in order to mitigate the incentive distortion problem, which is inevitable to current pass-through MBS.

• 통상정보연구
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• 제10권2호
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• pp.283-304
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• 2008

According to globalization and localization of world economics international trade payment method was also changed. A traditional payment was Letter of Credit basis, however it is being increased to various methods such as remittance, documentary collection(D/P, D/A) and open account. In order to acquire a secure export payment, exporters prefer to L/C basis which is guaranteed by a reliable bank. However, the L/C should bear a security so that importers would rather documentary collection than L/C. The reasons for the preference of collection payment rather than L/C are a low commission cost, the conversion of buyer's market from seller's market due to severe competition in the world market, transaction increase between main office and branches and a right to control the goods until executing the payment by exporters. Besides of them, collection payment can handle safer and faster than open account basis. However, the collection payment has a risk which it isn't guaranteed by bank for the payment so that I would suggest countermeasures to minimize the payment risk utilizing the collection basis as follows; using export credit insurance system, a large domestic credit report provider such as D&B for absolutely fresh and new information, a collection proxy service for overseas deferred credit and suggestion specifying to order B/L not straight one on consignee in order to transfer the right of ownership with endorsement without problem.

• 경영정보학연구
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• 제9권2호
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• pp.129-147
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• 2007

2002년 신용대란 전후 S카드사는 결제능력 및 신용도의 적절한 측정을 통한 리스크 관리의 효율성 제고를 위해 회원 신용평가에 있어 소득을 고려하고자 하는 새로운 시도를 하였다. 보다 개선된 리스크 관리를 위해 잠재가치, 즉 소득을 추가로 고려한 다차원 평가체계로 회원을 파악하자는 것이었다. 그 이전까지 S카드를 비롯하여 모든 카드사는 연체속성, 입회기간, 사용상태, 한도소진율 등의 내부의 행위요소(behavioral factor) 자료와 외부 신용평가사에서 획득한 회원 등급이나 금융거래 내역 등에 의존하여 한도를 부여했다. 그러나 이 같은 방식은 과거로부터 현재까지의 행동패턴에 기반한 것으로서 회원의 객관적 능력범위를 가늠하는 데 어려움이 따랐고 결과적으로 리스크 관리의 한계로 이어졌다. 본 연구에서는 S카드사가 어떠한 방식으로 회원의 소득을 추정하였고 그 결과를 어떻게 활용하는가에 대해 살펴봄으로써 금융기관 리스크 관리 정교화의 방향을 제시하고자 한다.

• 한국컴퓨터정보학회논문지
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• 제29권5호
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• pp.11-20
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• 2024

최근 IT 기술의 발전과 더불어 금융 시장에서의 불확실성이 증대되는 상황에서 기업 신용등급 평가의 중요성을 인식하고, 이를 개선하기 위한 새로운 접근 방식으로 딥러닝 모델인 TabNet을 제안한다. 이에 본 연구에서는 TabNet을 활용하여 기업 신용등급을 예측하고, 이의 예측 성능을 기존 머신러닝 방법론과 상세하게 비교한다. 한국의 주요 증권시장에 상장된 기업들의 재무 데이터를 기반으로 TabNet 알고리즘을 적용하여 신용등급 예측 모델을 구축하고, 다양한 머신러닝 모델과의 성능을 비교 분석하였다. 실험 결과, TabNet 모델은 Precision 0.884, F1이 0.895로 기존의 머신러닝 모델들보다 우수한 성능을 보였으며, 고위험 기업을 저위험 기업으로 잘못 분류하는 경우가 다른 머신러닝 모델보다 적어 TabNet의 우수성을 확인하였다. 이는 TabNet이 기업 신용등급 예측에 있어 효과적인 도구로 활용될 수 있으며, 금융기관의 신용 위험 관리 및 의사 결정 과정을 지원할 수 있을 것으로 기대한다.

• 경영과정보연구
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• 제30권4호
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• pp.359-383
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• 2011

본 연구는 국내 시중은행의 통합위험 측정시 시장위험과 신용위험간에 존재하는 포트폴리오이론에 따른 분산효과에 대해서 실증적으로 검증하였다. 이를 위하여 최근 통합위험 측정에 있어서 연구되고 있는 하향식 통합위험 측정방식, 즉 시장위험과 신용위험의 위험분포도를 도출하고 이들 특성을 유지하면서 결합하는 측정방식을 사용하였다. 한편 비교모형으로는 금융회사의 내부모형을 통해 산출되는 시장위험과 신용위험의 단순합산, 그리고 실무에서 많이 사용되는 위험액 자체에 임의의 상관관계를 고려하는 단순통합모형을 사용하였다. 실증분석에서 시장 및 신용위험 등 위험유형별 위험을 산출하고 코플라 함수를 이용하여 '09.3월말을 기준으로 국내은행에 대한 통합위험을 산출한 결과 내부모형의 단순합산에 비해 분산효과가 31.3%로 추정되어 위험의 분산효과가 존재하는 것으로 나타났다. 포트폴리오이론에 따르면 위험유형별 분산효과뿐만 아니라 위험유형간에도 분산효과가 존재한다는 사실을 시사하고 있는데, 본 연구는 실증적 검증을 통하여 위험유형간에 분산효과가 존재하고 있음을 확인하고 있다. 이러한 결과는 향후 자기자본규제뿐만 아니라 이론적으로나 실무적으로 중요한 의미를 가지며, 감독당국을 포함한 모든 시장 참가자들의 지속적으로 관심을 가져야 할 것으로 판단된다.

• 대한안전경영과학회지
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• 제10권2호
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• pp.71-83
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• 2008

Most researches on the corporate credit rating are generally classified into the area of bankruptcy prediction and bond rating. The studies on bankruptcy prediction have focused on improving the performance in binary classification problem, since the criterion variable is categorical, bankrupt or non-bankrupt. The other studies on bond rating have predicted the credit ratings, which was already evaluated by bond rating experts. The financial institute, however, should perform effective loan evaluation and risk management by employing the corporate credit rating model, which is able to determine the credit of corporations. Therefore, in this study we present a medium sized corporate credit rating system by using Artificial Neural Network(ANN) and Analytical Hierarchy Process(AHP). Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the ANN and AHP model using both financial information and non-financial information. Finally, the credit ratings of each firm are assigned by the proposed method.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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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.

• 무역상무연구
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• 제46권
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• pp.159-177
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• 2010

This work intends to study some problems in relation to the issuance of letters of credit. Those problems are the delay of issuing letters of credit, the reissuing letters of credit, and the issuing letters of credit in the third party's name. Sellers and buyers must keep in mind that the supply of letter of credit by buyer is the condition precedent for a seller's shipment obligation. A seller has no obligation to ship the goods until he receives the letter of credit by buyer's bank, issuing bank. An issuing bank can have the risk that an original letter of credit and a reissued letter of credit can be used double in the exporting country. The most safe method for issuing bank is to cancel the original letter of credit and to reissue a new letter of credit. When an issuing bank issues a letter of credit in the third party's name, the bank should investigate the background of the transaction and give the buyer a proper line of credit.