• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.873-880
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• 2021

The purpose of this study is to investigate the impact of internal control on credit risk of joint stock commercial banks in Vietnam from 2007 to 2018. Furthermore, we specify bank-specific characteristics and macroeconomic conditions, and analyze how these factors affect credit risk of banks: the number of board members, the number of board members with banking or finance background as ratio of total board members, loans to total assets ratio, loans to deposit ratio, the number of days between the year-end and the publication of the financial statements, and the use of top four auditing firms proxy for five elements of internal control. By using the dataset of 30 Vietnamese joint stock commercial banks and Bayesian linear regression via Random-walk Metropolis Hastings algorithm, the results of this study show that five elements of internal control have a impact on bank credit risk, namely, control environment, risk assessment, control activities, information and communication, and monitoring activities. For factors of banks' characteristics, bank size and financial leverage have a negative impact on banks' credit risk, and bank age has a positive effect. For macroeconomic factors, inflation has a positive impact and economic growth has a negative impact on banks' credit risk.

• 무역상무연구
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• 제15권
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• pp.239-261
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• 2001

There are many kinds of risk in int'l trade by internet network, such as credit risk, mercantile risk, contingency risk, exchange risk, physical risk and the risk on internet network. Especially, risk management against credit risk and the risk on internet network are very important. The former is conventional but more important these days. The latter is a new risk that has been incurred owing to the int'l trade by internet network. The system of risk management against the former are firstly, to surely research credit of counterpart by internet, secondly, to certify the entity by password or fingerprint, thirdly, to pay the price under a letter of credit, fourthly, to use the system of int'l trade such as bolero, trade card, finally, to use the authority of electronic trade services. The system of risk management against the latter are firstly, to install the firewall on the own computer network, secondly, to entrust the management own computer network to the network security services firm, thirdly, to electronically communicate with counterpart through the certification authority, finally, to insure against the own network risk with the security insurance company.

• 가족자원경영과 정책
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• 제9권2호
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• pp.145-161
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• 2005

This study was to examine whether the hedonic and utilitarian shopping values were expressed in shopping experience among the undergraduates and how the consumers with different shopping values vary in the perception of credit cards' benefit and risk. The 215 undergraduates in Seoul were surveyed. The results indicated that undergraduates were divided into hedonic shoppers and utilitarian shoppers according to their shopping value and that the perception of credit cards' benefit and risk was explained by the four factors including the increased cost, the removing the immediate need for money, the additional service and benefits, and the overspending and credit crime. The overspending and credit crime as one of the risk factors was affected by the types of shopping values.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.75-81
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• 2020

This study aims to empirically test the effect of liquidity and adequacy on bank performance through interest rate risk and credit risk. Capital adequacy and liquidity are variables that can affect the ups and downs of opinion, where the bank's performance in this study is the dependent variable. Good credit distribution can minimize the occurrence of defaults. This study uses banking companies in Indonesia that are listed on the Indonesian stock exchange, with a total number of 43 banking companies, this study however, uses only 30 companies ranging from years 2014 to 2019, primarily due to the availability of the limited data. The data analysis techniques used in this study is PLS-SEM with the WarpPLS application. The research results show that capital adequacy and liquidity has a positive effect on bank performance, interest rate risk and credit risk can mediate capital adequacy on bank performance, interest rate risk can mediate liquidity on bank performance, and interest rate risk has a positive effect on bank performance. However, credit risk can't mediate liquidity on bank performance and credit risk does not have a positive effect on bank performance. This is in line with the commercial loan theory, shiftability theory and the doctrine of anticipated income, which explains how best to give credit, both in longer and the shorter term.

• 한국빅데이터학회지
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• 제7권2호
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• pp.225-234
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• 2022

본 논문은 우리나라 국가 및 기업의 신용 리스크 네트워크를 추정하고 최근 거시경제 상황에 따른 국가-기업 및 기업-기업 간의 연결성 변화를 살펴본다. 2015년 11월부터 2022년 10월까지의 신용부도스왑(CDS) 스프레드 데이터를 이용하여 네트워크를 Graphical Lasso로 추정한 결과, 우리나라 국가 및 기업 신용리스크 간의 연결성이 유의미하게 존재한다. 특히, 수출입 및 외환 거래를 담당하는 은행 부문의 연결성이 전반적으로 높은 편이다. 통화정책 긴축 기조가 두드러진 2022년 들어서는 공통 익스포져가 확대되어 이러한 연결성이 커진 것으로 보인다.

• 한국콘텐츠학회논문지
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• 제16권3호
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• pp.81-90
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• 2016

본 연구는 당기 주가수익률과 차기 신용등급 및 신용등급 변화와의 관련성을 검증하는 것을 목적으로 한다. 신용등급평가사들은 개별 기업의 채무불이행위험(default risk)을 측정하여 최종 신용등급을 결정하는데 기업의 높은 주가수익률은 낮은 위험(default risk)으로 인지될 가능성이 있다. 반면 시장참여자들은 효율적으로 높은 수익을 달성하기 위하여 규모가 크고 안정적인 기업보다 고수익을 달성할 수 있는 신용위험(risk)이 높은 기업들의 주식을 선호할 가능성 역시 배제할 수 없다. 이는 실증적으로 해결되어야 할 문제이며 현재까지 이러한 관련성을 고찰한 연구는 부재하다. 본 연구는 2002년부터 2013년까지 회사채를 발행한 유가증권 상장기업을 대상으로 당기 주가수익률과 차기 신용등급 및 신용등급의 관련성을 검증하였고, 그 결과를 요약하면 다음과 같다. 먼저 당기 주가수익률은 차기 신용등급과 유의한 음(-)의 관련성이 있는 것으로 나타났다. 이는 신용평가사들이 주가수익률을 채무불이행 위험의 대리변수로 고려하지 않음을 예측케 하는 결과이고, 오히려 투자자들은 신용등급이 낮은 기업의 주식을 선호한다고 해석할 수 있다. 본 연구는 직관과는 달리 주가수익률과 신용등급의 음(-)의 관련성을 찾은 최초의 연구로써 신용평가사 및 시장참여자들에게 의미 있는 통찰력을 제공할 것으로 기대한다.

• KDI Journal of Economic Policy
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• 제44권3호
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• pp.1-26
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• 2022

This paper analyzes the effects of the cut in the legal maximum interest rate (from 27.4% to 24%) that occurred in February of 2018 on loan interest rates, the default rates, and the loan approval rate of borrowers in the non-banking sector. We use the difference-in-difference identification strategy to estimate the effect of the cut in the legal maximum interest rate using micro-level data from a major credit-rating company. The legal maximum rate cut significantly lowers the loan interest rate and default rate of low-credit borrowers (i.e., high-credit-risk borrowers) in the non-banking sector. However, this effect is limited to borrowers who have not been excluded from the market despite the legal maximum interest rate cut. The loan approval rate of low-credit borrowers decreased significantly after the legal maximum interest rate cut. Meanwhile, the loan approval rate of high-credit and medium-credit (i.e., low credit risk and medium credit risk) borrowers increased. This implies that financial institutions in the non-banking sector should reduce the loan supply to low-credit borrowers who are no longer profitable while increasing the loan supply to high- and medium-credit borrowers.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.373-385
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• 2021

The objective of the study is to empirically investigate the impact of bank capital on the lending behavior of Vietnamese commercial banks from 2007 to 2019. Lending behavior is captured by two dimensions, including the quantity (loan growth) and quality (credit risk) of loans. Instead of investigating loan growth and credit risk separately, we combine these two aspects in our study and further develop the interaction term between capital buffers and credit risk to capture the asymmetric impact. We apply the dynamic model (regressed by the generalized method of moments) and the static models (regressed using the fixed effects, random effects, and the pooled regression approach) to perform regressions. The results show that banks with higher capital ratios tend to expand lending more, while the risk of credit portfolios is controlled at lower levels at these banks. Further analysis reveals that credit risk mitigates some aspects of the relationship between bank capital and loan expansion. The patterns remain robust across alternative measures and econometric techniques. The study provides insightful policy implications for bank managers and regulators in the process of upgrading capital resources to ensure the safety and soundness of the banking industry in an emerging country.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.305-311
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• 2022

The Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) is projected to provide several chances for Vietnam's banking industry to expand into the international market. This study examines the influence of foreign ownership on credit risk in Vietnamese commercial banks before the context of participation in the CPTPP. Using a sample of 28 commercial banks between 2009 and 2020, we find that foreign ownership has a negative relationship with bank credit risk. The regression methods used include the least-squares method, fixed-effects model, random effects model, and general least squares method. The research model adds interactive variables, which will help to reflect the role of intermediary factors more accurately such as listing on the stock market, capital ratio to the relationship between foreign ownership and bank credit risk. The test results reveal that increasing the foreign ownership ratio has a bigger impact on reducing credit risk for listed banks and banks with low capital than for other commercial banks. The government should flexibly adjust the foreign ownership ratio according to the capital size and role of each bank so that it can make good use of investment capital from abroad when Vietnam joins the CPTPP.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.147-156
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• 2012

Most people in our society use credit card instead of cash or check, so credit card is very important economic method. Credit card supposed to be safe, but hackers hack credit card for illegal deal. Also hackers make fake credit card and issue fake credit card to other people. In this thesis it will study and analyze damage case for safe credit card deal. It will use safe credit card system to insert variety of information and data of using pattern in artificial intelligence network, so print out the possibility of risk and monitor the risk of credit card user's deal pattern, so if one of user's pattern is different than normal pattern, it will pop up message in consultant's screen. This thesis will study and suggest way of prevent from illegal deal and user friendly credit card checking system.