• Title/Summary/Keyword: Bank Loan

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Proposing the Method for Improving the Forecast Accuracy of Loan Underwriting (대출심사의 예측 정확도 향상을 위한 방법 제안)

  • Yang, Yu-Young;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.4
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    • pp.1419-1429
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    • 2010
  • Industry structure and environment of the domestic bank have been changed by an influx of large foreign-banks and advanced financial products when the currency crisis erupted in Korea. In a competitive environment, accurate forecasts of changes and tendencies are essential for the survival and development. Forecast of whether to approve loan applications for customer or not is an important matter because that is related to profit generation and risk management on the bank. Therefore, this paper proposes the method to improve forecast accuracy of loan underwriting. Processes in experiments are as follows. First, we select the predictor variables which affect significantly to the result of loan underwriting by correlation analysis and feature selection technique, and then cluster the customers by the 2-Step clustering technique based on selected variables. Second, we find the most accurate forecasting model for each clustering by applying LR, NN and SVM. Finally, we compare the forecasting accuracy of the proposed method with the forecasting accuracy of existing application way.

Estimating the Determinants of Loan Amount of Housing Mortgage : A Panel Data Model Approach (주택 담보 가계 대출액 결정요인 추정에 관한 패널 데이터 모형 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.183-190
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    • 2011
  • Loan amount of housing mortgage is composed of various factors. This study paper studies focuses on estimating the determinants of a loan amount of housing mortgage. The region for analysis consist of seven groups, that is, metropolitan city (such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 45 time points(2007. 01.~ 2010. 09). In this paper the dependent variable setting up loan amount of housing mortgage, explanatory(independent) variables are composed of the consumer price index, unemployment rate, average monthly household income per household, expenditure rate of health care, composite stock price index and overdue rate of household loans for commercial bank. In looking at the factors which determine loan amount of housing mortgage, evidence was produced supporting the hypothesis that there is a significant positive relationship between the consumer price index and unemployment rate. The study also produced evidence supporting the view that there is a significant negative relationship between expenditure rate of health care. The study found that average monthly household income per household, expenditure, composite stock price index and overdue rate of household loans for commercial bank were not significant variables. The implications of these findings are discussed for further research.

A Study on the Information Disclosure of Financial services Using Content Analsysis (금융상품정보제공 실태파악을 위한 금융상품팜플렛 내용분석)

  • 허은영;최현자
    • Journal of the Korean Home Economics Association
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    • v.38 no.11
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    • pp.63-75
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    • 2000
  • To identify the actual situation of financial information disclosure, a content analysis was performed on pamphlets of a time deposit and a new reserve trust offered by banks and other financial institutes. Although consumers required information on interest rate, tax favor, loan service, protection of brink depositors and bank security to select a financial service account, informations offered on pamphlets are not sufficient. Therefore concrete way of information offer system shoed be developed. In offering interest rate, interest rate after tax deduction or payment at maturity should be also mentioned. Information on tax favor, protection of bank depositors and bank security should be contained in pamphlets as well. Use of easy terms and notes are recommended for developing pamphlets for financial products.

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The Effect Factors affecting Lease Guaranteed Loan on Lease Market Fluctuation by Time Series Analysis Model (시계열 분석 모형을 이용한 전세시장 변동에 따른 전세보증대출 영향 요인에 관한 연구)

  • Jo, I-Un;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.411-420
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    • 2015
  • With the rapid increase in the price of house lease, a unique housing form in Korea, a serious social issue has been raised as to the use value of house lease and residence stability of the ordinary people. This study thus aimed to analyze the direct factors that affect lease guaranteed loan and market volatility in order to explore the right direction of financial policy to reduce housing burdens. To this end, the direct variables affecting house lease guaranteed loan, including lease price, transaction price and lending rate, were defined. Vector Error Correction Model (VECM), a time series analysis, was employed to dynamically explain the data. Based on the house lease prices and bank data on loans between January 2010 and December 2014, it was found that the increase in lease price was the direct result of the increase in lease guaranteed loan, not that of the decrease in lending rate or increase in housing transaction price.

A Study on the Methods for the Prevention of Fraud in Korean Export Insurance in the Context of Export Credit Guarantee Schemes under O/A Negotiation (수출보험사기 방지를 위한 우리나라 수출신용보증제도 개선방안: O/A 매입방식을 중심으로)

  • PARK, Seung-Lak
    • 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.

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Relative Importance of Executive Competency Factors of SMEs and Venture Firms in Credit Evaluation (신용평가에서 중소벤처기업 경영자 역량 요인의 상대적 중요도에 관한 연구)

  • Lee, Chun Hee;Lee, Dong Myung;Chen, Lu
    • Journal of Digital Convergence
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    • v.17 no.4
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    • pp.123-136
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    • 2019
  • This study is to provide a method to increase the credit rating of the company by examining and managing the executive competency of the CEO of SMEs and Venture Firms. We analyzed the importance and priority of AHP by surveying bank loan staff and CEOs. According to the analysis results, ethics management, strategic thinking, and expertise level were the highest in the relative importance of bank loan staff. The relative importance of CEOs was higher in order of marketing, bank transaction reliability, and financing. Result of this study is similar to the relative importance of the previous research. This study suggests to disclosing credit rating system and reflect the opinions of the CEO in order to protect financial consumers. The significance of this study is to present the factors and the importance that can help to develop advanced models.

The Effect of Housing Price Changes on the Performance of Korean Regional Banks (주택가격변동이 지방은행의 경영성과에 미치는 영향)

  • Han, Myunghoon;Jung, Heonyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.165-170
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    • 2021
  • This study analyzed the effect of housing price changes on the performance of Korean regional banks using DOLS model. The analysis shows that housing price changes does not have a statistically significant effect on the loan growth, profitability and soundness of regional banks. Among macroeconomic variables, only short-term interest rates have a significant positive effect on any model. This means that a rise in short-term interest rates significantly increases loans by regional banks, which leads to a significant increase in profitability, but has a significant negative impact on soundness. On the other hand, bank characteristics variables are found to have a significant negative effect on the loan growth, profitability and soundness of Korean regional banks.

The Issues and Counter-measures of the Loan for the KNAC Graduates' initial stage of Farm Business (한국농업전문학교 졸업생 창업농자금 지원상의 문제점 및 대책)

  • Ahn, D.H
    • Journal of Practical Agriculture & Fisheries Research
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    • v.9 no.1
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    • pp.3-12
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    • 2007
  • It is our imminent project that we should train young and able manpower to strengthen the international competitiveness under the free trade of agricultural products, to solve the problem of decrease in farm population and of aging people in agriculture. The objective of this research is to suggest an alternative policy plan through the survey and analysis on the controversial issues in loans for starting agricultural business based on the survey of graduates of Korea National Agricultural College from 2002 to 2005. According to the survey, in case of graduates who are not available sufficient fanning capital such as land and agricultural facilities on it, they are not able to get loans from banks in that situation. The survey, as a result, points out that those who are legally required to do farming should be given several special aids by the government such as the improvement of Credit Guarantee Fund System for Farmers and Fishermen and the farming loans conditions for initial farm business, a long term lease of public land, giving a priority in lease-farmland project of farmland bank and allowing loan for working capital for farm management.

How to Reflect Sustainable Development, exemplified by the Equator Principles, in Overseas Investment (해외투자(海外投資)와 지속가능발전 원칙 - 프로젝트 파이낸스의 적도원칙(赤道原則)을 중심으로 -)

  • Park, Whon-Il
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.31
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    • pp.27-56
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    • 2006
  • Today's financial institutions usually take environmental issues seriously into consideration as they could not evade lender liability in an increasing number of cases. On the international scene, a brand-new concept of the "Equator Principles" in the New Millenium has driven more and more international banks to adopt these Principles in project financing. Sustainable development has been a key word in understanding new trends of the governments, financial institutions, corporations and civic groups in the 21st century. The Equator Principles are a set of voluntary environmental and social guidelines for sustainable finance. These Principles commit bank officers to avoid financial support to projects that fail to meet these guidelines. The Principles were conceived in 2002 on an initiative of the International Finance Corporation(IFC), and launched in June 2003. Since then, dozens of major banks, accounting for up to 80 percent of project loan market, have adopted the Principles. Accordingly, the Principles have become the de facto standard for all banks and investors on how to deal with potential social and environmental issues of projects to be financed. Compliance with the Equator Principles facilitates for endorsing banks to participate in the syndicated loan and help them to manage the risks associated with large-scale projects. The Equator Principles call for financial institutions to provide loans to projects under the following circumstances: - The risk of the project is categorized in accordance with internal guidelines based upon the environmental and social screening criteria of the IFC. - For Category A and B projects, borrowers or sponsors are required to conduct a Social and Environmental Assessment, the preparation of which must meet certain requirements and satisfactorily address key social and environmental issues. - The Social and Environmental Assessment report should address baseline social and environmental conditions, requirements under host country laws and regulations, sustainable development, and, as appropriate, IFC's Environmental, Health and Safety Guidelines, etc. - Based on the Social and Environmental Assessment, Equator banks then make agreements with borrowers on how they mitigate, monitor and manage the risks through a Social and Environmental Management System. Compliance with the plan is included in the covenant clause of loan agreements. If the borrower doesn't comply with the agreed terms, the bank will take corrective actions. The Equator Principles are not a mere declaration of cautious banks but a full commitment of lenders. A violation of the Principles in the process of project financing, which led to an unexpected damage to the affected community, would not give rise to any specific legal remedies other than ordinary lawsuits. So it is more effective for banks to ensure consistent implementation of the Principles and to have them take responsible measures to solve social and environmental issues. Public interests have recently mounted up with respect to environmental issues on the occasion of the Supreme Court's decision (2006Du330) on the fiercely debated reclamation project at Saemangeum. The majority Justices said that the expected environmental damages like probable pollution of water and soil were not believed so serious and that the Administration should continue to implement the project seeking ways to make it more environment friendly. In this case, though the Category A Saemangeum Project was carried out by a government agency, the Supreme Court behaved itself as a signal giver to approve or stop the environment-related project like an Equator bank in project financing. At present, there is no Equator bank in Korea in contrast to three big banks in Japan. Also Korean contractors, which are aggressively bidding for Category A-type projects in South East Asia and Mideast, might find themselves in a disadvantageous position because they are generally ignorant of the environmental assessment associated with project financing. In this regard, Korean banks and overseas project contractors should care for the revised Equator Principles and the latest developments in project financing more seriously. It's because its scope has expanded to the capital cost of US$10 million or more across all industry sectors regardless of developing countries or not. It should be noted that, for a Korean bank, being an Equator bank is more or less burdensome in a short-term period, but it must be conducive to minimizing risks and building up good reputation in the long run.

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Artificial Intelligence Techniques for Predicting Online Peer-to-Peer(P2P) Loan Default (인공지능기법을 이용한 온라인 P2P 대출거래의 채무불이행 예측에 관한 실증연구)

  • Bae, Jae Kwon;Lee, Seung Yeon;Seo, Hee Jin
    • The Journal of Society for e-Business Studies
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    • v.23 no.3
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    • pp.207-224
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    • 2018
  • In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.