• Title/Summary/Keyword: Financial Credit

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A Study on the Problems and Countermeasures Relative to Negotiation Clause under L/C Transactions in the UCP 600

  • Kim, Dong-Chun
    • Journal of Korea Trade
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    • v.24 no.4
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    • pp.49-70
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    • 2020
  • Purpose - The UCP is recognized as the governing law for L/C transactions, but it covers only the general details of the transaction and does not cover all complex practices. In view of this limitation, this paper examines a negotiation transaction which is most actively utilized in L/C transactions via a thorough review of the UCP provisions, analyzes the problems of the negotiation clause in the UCP, and suggests appropriate countermeasures to deal with unnecessary litigation costs. By doing so, the parties involved in the negotiation transaction would be able to avoid financial costs such as having to pay for lawsuits. Design/methodology - The present study first differentiates the general types of L/Cs (e.g., sight payment L/C, deferred payment L/C, acceptance L/C, and negotiation L/C), explains and the Article 2 and Article 12(b) of the UCP 600 where the term 'negotiation' is used, digs into the drawbacks of 'negotiation' occurring under the UCP 600, and discusses solutions to the problems found by analyzing the drawbacks descriptively. Findings - After a review of the UCP provisions on negotiation in detail, several possible problems which may occur in practice were discovered. First, as the UCP stipulates, the negotiating bank will want to delay payment to the maximum extent possible and make payment on the banking day on which the issuing bank reimburses the amount. This may lead the beneficiary towards bankruptcy or put it in financial crisis. Second, when a fraudulent transaction occurs, the negotiating bank can neither request the issuing bank to reimburse nor can it exercise its recourse right against the beneficiary because it has obtained all the rights of the beneficiary by purchasing the documents. Third, there is a practice in which the beneficiary sells the documents to its transaction bank which is not the nominated bank if the nominated bank specified in the credit is located in a third country or the exporter has no relationship with the nominated bank in the credit. In this case, whether to accept this and reimburse the non-nominated negotiating bank entirely depends on the issuing bank's decision even though such practice frequently occurs in Korea. Originality/value - There has been little research effort pertaining to negotiation transactions in detail even though negotiation L/C transactions account for around 70% in world trade notwithstanding deferred payment L/Cs and acceptance L/Cs that are also negotiated in practice. Thus, if the negotiations clause under the UCP 600 provisions were reviewed and the drawbacks of the negotiation transactions most actively used in L/C transactions were identified and examined, specific countermeasures could ultimately help smoothen the operation of L/C transactions and prevent financial losses.

The Study on the Impact of China Banks' Securities Asset Management on Financial performance (중국 상업은행의 유가증권투자가 경영성과에 미치는 영향)

  • Bae, Soo Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.89-94
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    • 2023
  • Recently, credit risk in the Chinese corporate bond market has increased significantly, and there is a possibility that banks that have invested in corporate bonds may become insolvent. The purpose of this study is to empirically analyze the effect of Chinese commercial banks' investment in securities on financial performance. The analysis results are as follows. First, it is estimated that as the share of securities investment by Chinese commercial banks increases, the bank's profitability decreases. It was found that investment in securities did not have a positive impact on profitability due to the increase in credit risk in the corporate bond market and the increase in marginal companies. Second, it is estimated that as the proportion of securities investment by Chinese commercial banks increases, the bank's soundness deteriorates. As credit risk in China's capital market is increasing, continuous management of non-performing assets is required. Chinese commercial banks need portfolio management through securities investment in addition to loan assets to improve profitability. However, volatility should be managed by adjusting the scale of securities management to an appropriate level.

Verification Test of High-Stability SMEs Using Technology Appraisal Items (기술력 평가항목을 이용한 고안정성 중소기업 판별력 검증)

  • Jun-won Lee
    • Information Systems Review
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    • v.20 no.4
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    • pp.79-96
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    • 2018
  • This study started by focusing on the internalization of the technology appraisal model into the credit rating model to increase the discriminative power of the credit rating model not only for SMEs but also for all companies, reflecting the items related to the financial stability of the enterprises among the technology appraisal items. Therefore, it is aimed to verify whether the technology appraisal model can be applied to identify high-stability SMEs in advance. We classified companies into industries (manufacturing vs. non-manufacturing) and the age of company (initial vs. non-initial), and defined as a high-stability company that has achieved an average debt ratio less than 1/2 of the group for three years. The C5.0 was applied to verify the discriminant power of the model. As a result of the analysis, there is a difference in importance according to the type of industry and the age of company at the sub-item level, but in the mid-item level the R&D capability was a key variable for discriminating high-stability SMEs. In the early stage of establishment, the funding capacity (diversification of funding methods, capital structure and capital cost which taking into account profitability) is an important variable in financial stability. However, we concluded that technology development infrastructure, which enables continuous performance as the age of company increase, becomes an important variable affecting financial stability. The classification accuracy of the model according to the age of company and industry is 71~91%, and it is confirmed that it is possible to identify high-stability SMEs by using technology appraisal items.

Risk Analysis of Household Debt in Korea: Using Micro CB Data (개인CB 자료를 이용한 우리나라 가계의 부채상환위험 분석)

  • Hahm, Joon-Ho;Kim, Jung In;Lee, Young Sook
    • KDI Journal of Economic Policy
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    • v.32 no.4
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    • pp.1-34
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    • 2010
  • We conduct a comprehensive risk analysis of household debt in Korea for the first time using the whole sample credit bureau (CB) data of 2.2 million individual debtors. After analysing debt service capacity profiles of debtor groups classified by the borrower characteristics such as income, age, occupation, credit scoring, and the type of creditor business companies, we investigate the impact of interest rate and income changes on debt service-to-income ratios (DTIs) and default rates of respective debtor groups. Empirical results indicate that debt service burdens are relatively high for low income wage earners, high income self-employed, low income capital and card loan holders, and high income mutual savings loan holders. We also find that debtors from multiple financial companies are particularly weak in their debt service capacity. The scenario analysis indicates that financial companies, with the current level of capital buffers, may be able to absorb negative consequences arising from the increase in DTIs and loan default rates if the interest rate and income changes remain modest. However, the negative consequences may fall disproportionately on non-bank financial companies such as capital, credit card, and mutual savings banks, whose debtors' DTIs are already high. We also find that the refinancing risk of household debt is relatively high in Korea as more than half of household mortgage debts are bullet loans. As the DTIs of mortgage loan holders are already high, under the current DTI regulation, mortgage loans may not be readily refinanced especially when the interest rate rises. Disruptions in mortgage loan refinancing may put downward pressure on housing prices, which may in turn magnify refinancing risk under the current loan-to-value (LTV) regulation. Overall our analysis suggests that, for more effective monitoring of household debt risk, it is necessary to combine existing surveillance schemes based on macro aggregate indicators with more comprehensive and detailed risk analyses based on micro individual data.

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An Exploratory Study on Marketing of Financial Services Companies in Korea (한국 금융회사 마케팅 현황에 대한 탐색 연구)

  • Chun, Sung Yong
    • Asia Marketing Journal
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    • v.12 no.2
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    • pp.111-133
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    • 2010
  • Marketing financial services used to be easier. Today, the competition in financial services is fierce. Not only has the competition become more intense, financial services have also changed structurally. In an environment with various customer needs and severe competitions, the marketing in financial services industry is getting more difficult and more important than before. However, there are still not enough studies on financial services marketing in Korea whereas lots of research papers have been published frequently in some international journals. The purpose of this paper is (1)to review the literature on financial services marketing, (2)to investigate current marketing activities based on in-depth interview with financial marketing managers in Korea, and (3)to suggest some implications for future research on the financial services marketing. Financial products are not consumer products. In fact, they are not products at all in the way product marketing is usually described. Nor are they altogether like services. The financial industry operates in a unique way, and its marketing tasks are correspondingly complex. However, the literature review shows that there has been a lack of basic studies which dealt with inherent characteristics of financial services marketing compared to the research on marketing in other industries. Many studies in domestic marketing journals have so far focused only on the general customer behaviors and the special issues in some financial industries. However, for more effective financial services marketing, we have to answer following questions. Is there any difference between financial service marketing and consumer packaged goods marketing? What are the differences between the financial services marketing and other services marketing such as education and health services? Are there different ways of marketing among banks, securities firms, insurance firms, and credit card companies? In other words, we need more detailed research as well as basic studies about the financial services marketing. For example, we need concrete definitions of financial services marketing, bank marketing, securities firm marketing, and etc. It is also required to compare the characteristics of each marketing within the financial services industry. The products sold in each market have different characteristics such as duration and degree of risk-taking. It means that there are sub-categories in financial services marketing. We have to consider them in the future research on the financial services marketing. It is also necessary to study customer decision making process in the financial markets. There have been little research on how customers search and process information, compare alternatives, make final decision, and repeat their choices. Because financial services have some unique characteristics, we need different understandings in the customer behaviors compared to the behaviors in other service markets. And also considering the rapid growth in financial markets and upcoming severe competition between domestic and global financial companies, it is time to start more systematic and detailed research on financial services marketing in Korea. In the second part of this paper, I analyzed the results of in-depth interview with 20 marketing managers of financial services companies in Korea. As a result, I found that the role of marketing departments in Korean financial companies are mainly focused on the short-term activities such as sales support, promotion, and CRM data analysis although the size and history of marketing departments to some extent show a sign of maturity. Most companies established official marketing departments before 2001. Average number of employees in a marketing department is about 58. However, marketing managers in eight companies(40% of the sample) still think that the purpose of marketing is only to support and manage general sales activities. It shows that some companies have sales-oriented concept rather than marketing-oriented concept. I also found three key words which marketing managers think importantly in financial services markets. They are (1)Trust in customer relationship, (2)Brand differentiation, and (3)Rapid response to customer needs. 50% of the sample support that "Trust" is the most important key word in the financial services marketing. It is interesting that 80% of banks and securities companies think that "Trust" is the most important thing, whereas managers in credit card companies consider "Rapid response to customer needs" as the most important key word in their market. In addition, there are different problems recognition of marketing managers depending on the types of financial industries they belong to. For example, in the case of banks and insurance companies, marketing managers consider "a lack of communication with other departments" as the most serious problem. On the other hand, in the case of securities firms, "a lack of utilization of customer data" is the most serious problem. These results imply that there are different important factors for the customer satisfaction depending on the types of financial industries, and managers have to consider them when marketing financial products in more effective ways. For example, It will be necessary for marketing managers to study different important factors which affect customer satisfaction, repeat purchase, degree of risk-taking, and possibility of cross-selling according to the types of financial industries. I also suggested six hypothetical propositions for the future research.

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Option-type Default Forecasting Model of a Firm Incorporating Debt Structure, and Credit Risk (기업의 부채구조를 고려한 옵션형 기업부도예측모형과 신용리스크)

  • Won, Chae-Hwan;Choi, Jae-Gon
    • The Korean Journal of Financial Management
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    • v.23 no.2
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    • pp.209-237
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    • 2006
  • Since previous default forecasting models for the firms evaluate the probability of default based upon the accounting data from book values, they cannot reflect the changes in markets sensitively and they seem to lack theoretical background. The market-information based models, however, not only make use of market data for the default prediction, but also have strong theoretical background like Black-Scholes (1973) option theory. So, many firms recently use such market based model as KMV to forecast their default probabilities and to manage their credit risks. Korean firms also widely use the KMV model in which default point is defined by liquid debt plus 50% of fixed debt. Since the debt structures between Korean and American firms are significantly different, Korean firms should carefully use KMV model. In this study, we empirically investigate the importance of debt structure. In particular, we find the following facts: First, in Korea, fixed debts are more important than liquid debts in accurate prediction of default. Second, the percentage of fixed debt must be less than 20% when default point is calculated for Korean firms, which is different from the KMV. These facts give Korean firms some valuable implication about default forecasting and management of credit risk.

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TeGCN:Transformer-embedded Graph Neural Network for Thin-filer default prediction (TeGCN:씬파일러 신용평가를 위한 트랜스포머 임베딩 기반 그래프 신경망 구조 개발)

  • Seongsu Kim;Junho Bae;Juhyeon Lee;Heejoo Jung;Hee-Woong Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.419-437
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    • 2023
  • As the number of thin filers in Korea surpasses 12 million, there is a growing interest in enhancing the accuracy of assessing their credit default risk to generate additional revenue. Specifically, researchers are actively pursuing the development of default prediction models using machine learning and deep learning algorithms, in contrast to traditional statistical default prediction methods, which struggle to capture nonlinearity. Among these efforts, Graph Neural Network (GNN) architecture is noteworthy for predicting default in situations with limited data on thin filers. This is due to their ability to incorporate network information between borrowers alongside conventional credit-related data. However, prior research employing graph neural networks has faced limitations in effectively handling diverse categorical variables present in credit information. In this study, we introduce the Transformer embedded Graph Convolutional Network (TeGCN), which aims to address these limitations and enable effective default prediction for thin filers. TeGCN combines the TabTransformer, capable of extracting contextual information from categorical variables, with the Graph Convolutional Network, which captures network information between borrowers. Our TeGCN model surpasses the baseline model's performance across both the general borrower dataset and the thin filer dataset. Specially, our model performs outstanding results in thin filer default prediction. This study achieves high default prediction accuracy by a model structure tailored to characteristics of credit information containing numerous categorical variables, especially in the context of thin filers with limited data. Our study can contribute to resolving the financial exclusion issues faced by thin filers and facilitate additional revenue within the financial industry.

Analysis of Household Overdue Loans by Using a Two-stage Generalized Linear Model (이단계 일반화 선형모형을 이용한 은행 고객의 연체성향 분석)

  • Oh, Man-Suk;Oh, Hyeon-Tak;Lee, Young-Mi
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.407-419
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    • 2006
  • In this paper, we analyze household overdue loans in Korea which has been causing serious social and economical problems. We consider customers of Bank A in Korea and focus on overdue cash services which have been snowballing in the past few years. From analysis of overdue loans, one can predict possible delays for current customers as well as build a credit evaluation and risk management system for future customers. As a statistical analytical tool, we propose a two-stage Generalized Linear regression Model (GLM) which assumes a logistic model for presence/non-presence of overdue and a gamma model for the amount of overdue in the case of overdue. We perform goodness of fit test for the two-stage model and select significant explanatory variables in each stage of the model. It turns out that age, the amount of credit loans from other financial companies, the amount of cash service from other companies, debit balance, the average amount of cash service, and net profit are important explanatory variables relevant to overdue credit card cash service in Korea.

A Loyalty Score Model Development in Credit Card Business (고객 로열티 스코어 모델 개발)

  • Chun, Heui-Ju
    • The Korean Journal of Applied Statistics
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    • v.21 no.2
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    • pp.211-219
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    • 2008
  • Customer Loyalty is very important for a company to be survived and to make profit for a long time. Especially, since the credit card company has to manage proper card members and merchants, the CRM(Customer Relationship Management) is much emphasized. A loyalty score is more essential to credit card companies which provide differential financial services based on card members and merchants than any other companies. In this paper, we discuss behavioral measures to define customer loyalty and suggest a method to make loyalty score with an example of a credit card company. The loyalty score developed is considered easy to understand and simple to apply in card industry. In the development of loyalty score, first, we define the loyal customers and non-loyal customers by measuring variables indicating loyalty. And we perform individual logistic regression by each exploratory measuring variable and obtain the weight of measure variables using Chi-square statistics which is used for model fitness. The loyalty score suggested shows very stable results in terms of PSI (Population Stability Index) as time goes.

Virtual Credit Card Number Payment System with Stored Hash Value for Efficient Authentication (효율적인 인증을 위한 해시 저장방식의 가상카드번호 결제 시스템)

  • Park, Chan-Ho;Kim, Gun-Woo;Park, Chang-Seop
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.1
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    • pp.5-15
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    • 2015
  • Electronic transactions have been increasing with the development of the high-speed Internet and wireless communication. However, in recent years financial corporations and mobile carriers were attacked by hackers. And large numbers of privacy information have been leaked. In particular, in the case of credit card information can be misused in the online transaction, and the damage of this given to cardholder. To prevent these problems, it has been proposed to use a virtual card number instead of the actual card number. But it has security vulnerability and requires additional security infrastructure. In this paper, we analyzed the proposed virtual card number schemes. and we propose a new virtual credit card number scheme. In the newly proposed scheme, cardholder generates a key pair (public key/private key) and pre-register public key to the issuer. then, cardholder can pay no additional security infrastructure while still efficiently satisfy the security requirements.