• Journal of the Korean Data and Information Science Society
• /
• v.28 no.3
• /
• pp.605-615
• /
• 2017

Recently, financial supervisory authority of Korea and international credit rating agencies have been concerned about a stand-alone rating that is calculated without incorporating guaranteed support of parent companies. Guaranteed by parent companies, most foreign subsidiaries keeps good credit rate in spite of weak financial status. However, what if the parent companies stop supporting the foreign subsidiaries, they could have a probability to go bankrupt. In this paper, we have validated a credit rating model through statistical measurers such as performance, calibration, and stability for Korean companies owning foreign subsidiaries.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.45
• /
• pp.111-136
• /
• 2010

Bill of lading means the transport document ("marine", "ocean" or "port-to-port" or similar), however named, covering sea shipment only. Data in a bill of lading, when read in context with the credit, the document itself and international standard banking practice, need not be identical to, but must not conflict with, data in that document, any other stipulated document or the credit, according to UCP 600 and ISBP. This article has provided the general guideline of the discrepancies on the basis of UCP 600, ISBP 681 and the ICC Banking Commission Opinions, for the solution of the unpaid problems of the credit transactions. I have studied especially the ICC Banking Commission Opinions and the DOCDEX Decisions on the bill of lading after UCP 600, the international standard banking practice (ISBP 681), and the recent Korean cases. As such, this article would fill a need gap in the market between the general principles in the UCP provisions and the daily job of the practitioner. The credit practitioners are suggested to this resulting guidance whenever doubts arise as to how to check the credit documents in daily practice.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.477-489
• /
• 2021

The purpose of this study is to examine the effects of credit risk on commercial banks' profitability in Afghanistan. Due to the availability of limited data, this study applies the Fixed Effects estimator on balance panel data of six domestic private commercial banks over the period 2014-2018. The study uses LLRTL, TLTA, and TLTD as credit risk indictors, size as bank-specific determinant, ROAA, ROAE, and NIM as profitability indicators. The study finds a robust negative and significant effect of LLRTL on ROAA, and ROAE, but positive and insignificant on NIM. The results also reveal significant positive effect of TLTA on NIM, however insignificant negative on ROAA while insignificant positive on ROAE. The study finds negative effect of TLTD on ROAA, ROAE, and NIM, but only significant on NIM. Further, this study reveals a robust negative and significant effect of size on all profitability indicators. The mean comparison of profitability demonstrates that NIM is in a better situation than others profitability indicators, which is a good sign for the Afghan banking sector. The findings of this study suggest that improving credit management, increasing efficiency of asset management or effectiveness of business model can increase commercial banks' profitability in Afghanistan.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.11
• /
• pp.1707-1718
• /
• 2009

This study examines the effects of perceived risks on purchase decision behavior among Internet fashion consumers. The study survey used a self-administered questionnaire and a total data of 244 responses were used for analysis. The results of this study are as follows: First, the perceived risks consist of 6 factors, quality risk, counterfeit product risk, credit dealing risk, social/psychological risk, size and appearance risk, and delivery risk. The purchase decision behavior consist of 3 factors, delay of purchase decision, website switching, and offline conversion behavior. Second, purchase time positively affected the quality risk and credit dealing risk. Purchase frequency negatively affected the quality risk and credit dealing risk. Third, the quality risk, size and appearance risk, counterfeit product risk, and credit dealing risk positively affected the delay of purchase decisions. Quality risk and counterfeit product risk positively affected website switching. In addition, quality risk, social/psychological risk, and credit dealing risk positively affected the offline conversion behavior. Fourth, credit dealing risk negatively affected a short term purchase intention and the delivery risk negatively affected a long term purchase intention. The social/psychological risk and credit dealing risk negatively affected the repurchase intention.

• Journal of Korean Society for Quality Management
• /
• v.46 no.4
• /
• pp.797-820
• /
• 2018

Purpose: It is to seek for an appropriate cost rate analysis methodology of credit card value propositions in Korea. For this issue, it is claimed that methodologies based on probability distribution is more suitable than methodologies based on data-mining. The analysis model constructed for the cost rate estimation is called VCPM model. Methods: The model includes two major variables denoted as S and P. S is monthly credit card usage amount. P stands for the proportion of usage amount at special merchants over the whole monthly usage amount. The distributions assumed for P are positively skewed distributions such as exponential, gamma and lognormal. The major inputs to the model are also derived from S and P, which are E(S) and the aggregate proportion of usage amount at special merchants over the total monthly usage amount. Results: When the credit card's value proposition is general discount, the VCPM model fits well and generates reasonable cost rate(denoted as R). However, it seems that the model does not work well for other types of credit cards. Conclusion: The VCPM model is reliable for calculating cost rate for credit cards with positively skewed distribution of P, which are general discount card. However, another model should be built for cards with other types of distributions of P.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.949-958
• /
• 2021

This study aims to develop a theoretical model in order to determine factors affecting consumer intention to use credit cards by combining Theory of perceived risk and Technology acceptance model. Despite of perspective of consequences in prior studies on related research fields, this study focuses on the sources of perceived risk, including transaction, payment and credit risks, which are proposed and measured in a preliminary research. A measurement model and a structural model with the presence of perceived risk in sources are tested in a formal research with data collected from 538 bank customers. An analysis results show that payment risk, usefulness, transaction risk, ease of use, and credit risk influence significantly Vietnamese consumers' intention to use credit cards in decreasing order of influence. These factors account for 64.6% of the variation in intended use. All three dimensions of perceived risk have a negative effect on the intention to use, with the total impact greater than the level of influence of the other two factors of usefulness and ease of use. These findings can be beneficial to banks in enacting policies to attract more consumers and to allocate resources for improving their credit card business.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.809-820
• /
• 2021

The study aimed to investigate the impact of sectoral bank credit facilities provided by commercial banks on the non-oil economic growth in Saudi Arabia. Bank credit facilities are given for nine economic sectors: agriculture, manufacturing, mining, electricity and water, health services, construction, wholesale and retail trade, transportation and communications, services, and finance sector. The study employs annual data from 1970 to 2019. The study employs the Autoregressive Distributed Lag (ARDL) approach to identify the long-run and short-run dynamics relationships among the variables. The main results reveal that the overall impact of total bank credit has a significant and positive effect on non-oil economic growth in KSA. The results revealed that the effect of bank credit on the non-oil GDP growth in the short and long run was uneven. The study finds that all sectors have a positive and significant impact in the long run, except for the agricultural and mining sectors. Likewise, all sectors have a positive and significant impact in the short run, except for construction, finance, services, and transportation & communications. As a result, bank credit facilities in different sectors have played an important role in enhancing the non-oil economic growth in the KSA.

• The Journal of Bigdata
• /
• v.7 no.2
• /
• pp.225-234
• /
• 2022

In this paper, we study the recent changes in the credit risk interconnectedness in Korea. Using the CDS spread data from November 2015 to August 2022, we estimate the network structure of sovereign and corporate credit risk. The results show that sovereign and corporate credit risks are interconnected significantly, particularly with respect to the banking sector where FX-related transactions are made. Since 2022 when the monetary policy has become contractionary, such credit risk interconnectedness seems to be strengthened because of greater common exposure.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.1044-1051
• /
• 2002

This paper proposes a two-phase mathematical programming approach by considering classification gap to solve the proposed credit scoring problem so as to complement any theoretical shortcomings. Specifically, by using the linear programming (LP) approach, phase 1 is to make the associated decisions such as issuing grant of credit or denial of credit to applicants. or to seek any additional information before making the final decision. Phase 2 is to find a cut-off value, which minimizes any misclassification penalty (cost) to be incurred due to granting credit to 'bad' loan applicant or denying credit to 'good' loan applicant by using the mixed-integer programming (MIP) approach. This approach is expected to and appropriate classification scores and a cut-off value with respect to deviation and misclassification cost, respectively. Statistical discriminant analysis methods have been commonly considered to deal with classification problems for credit scoring. In recent years, much theoretical research has focused on the application of mathematical programming techniques to the discriminant problems. It has been reported that mathematical programming techniques could outperform statistical discriminant techniques in some applications, while mathematical programming techniques may suffer from some theoretical shortcomings. The performance of the proposed two-phase approach is evaluated in this paper with line data and loan applicants data, by comparing with three other approaches including Fisher's linear discriminant function, logistic regression and some other existing mathematical programming approaches, which are considered as the performance benchmarks. The evaluation results show that the proposed two-phase mathematical programming approach outperforms the aforementioned statistical approaches. In some cases, two-phase mathematical programming approach marginally outperforms both the statistical approaches and the other existing mathematical programming approaches.

• Journal of Fashion Business
• /
• v.19 no.6
• /
• pp.74-81
• /
• 2015

The purpose of this study is to analyze the operation situation & academic research trends in Seoul and Gyeonggi area, based on theoretical consideration on academic credit bank system, focusing on academic credit bank system where a lifelong education institute affiliated with a university produces graduates with associate's degree. To find out about how academic credit bank institutes are operated in cosmetology field, the analysis of literature review was used, in reference to the literatures as well as administrative data from the Ministry of Education and institutes for lifelong education with respect to academic credit bank system. Further, dissertations and articles in journals were also reviewed for analysis, in order to see academic research trends with respect to academic credit bank system in cosmetology, and finally to provide the directions for a follow-up study in the future. It was found that about 120 junior colleges have cosmetology departments, while only about 20 4-year universities have them, where lifelong education systems such as lifelong education are essential for learners to have bachelor's degree to go to a graduate school in reality. Every year more people want to learn and acquire the degree through a lifelong education institute affiliated with a university. In this regard, it is thought that there should be first positive social awareness towards a degree recipient from such educations and more administrative promotion and active engagement of government, businesses and schools, in order to vitalize academic credit bank system. Meanwhile, there are only about 10 academic literatures including the dissertations on the operation of academic credit bank system with respect to cosmetology, which is not sufficient number in academic research, compared to the increasing number of people who want to acquire the degree. Most of the preceding studies have been limited to education services and learners' satisfaction level. Therefore, continuous follow-up study is required on how to improve social awareness as well as teachers and instructors' satisfaction level, as well as how to develop industry-customized curriculum, in order to ensure active academic credit bank system.