• KDI Journal of Economic Policy
• /
• v.42 no.1
• /
• pp.31-56
• /
• 2020

Does financial development contribute to economic growth? The literature finds that an expansion in financial resources is useful for economic growth if the degree of financial development is under a certain threshold; otherwise, the expansion is detrimental to growth. Almost every published study, however, considers country-panel data. Accordingly, the results are not directly applicable to the Korean economy. By examining Korean time-series data, this paper finds that there is an inverse U-shaped relationship between the per capita real GDP growth rate and private credit (as a percentage of nominal GDP)-a well-known measure of quantitative financial development, where the threshold is 171.5%. This paper also finds that private credit is positively associated with economic growth if the share of household credit out of private credit is less than 46.9%; otherwise, private credit is negatively associated with economic growth. As of 2016, the ratio of private credit to GDP and the ratio of household credit to private credit are both higher than the corresponding thresholds, which implies that policymakers should place more emphasis on qualitative financial development than on a quantitative expansion of financial resources.

• Journal of Families and Better Life
• /
• v.23 no.5 s.77
• /
• pp.15-26
• /
• 2005

The purpose of this study was to investigate the factors affecting credit card attitudes, financial management practices, and sound credit card use among college students, and to conceptualize a theoretical model. Earlier studies identified a number of antecedent variables (such as gender, year in college, job experience, amount of allowance, family income, living with parents, having taken a personal financial management course) and intervening variables (such as attitudes towards credit cards and financial management practices) as useful predictors of sound credit card practices. Four hundred and thirty four undergraduate students in Daejeon participated in this study. Stepwise multiple regression and path analysis were conducted. The results of this study were as follows: 1. Students' attitudes towards credit cards were affected by their you in college, whether they were living with their parents, and the amount of their allowance. Similarly, students' financial management practices were affected by their year in college, whether they were living with their parents, the amount of their allowance, and whether and not they had taken a personal financial management course. 2. Sound credit card practices were influenced by students' gender, their year in college, the amount of their allowance, attitudes towards credit cards, and financial management practices. 3. The path-analysis model demonstrates the relationships among the antecedent variables, intervening variables (credit card attitude, financial management practices), and sound credit card use.

• Journal of the Korea Safety Management & Science
• /
• v.10 no.2
• /
• pp.71-83
• /
• 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.

• Korean Management Science Review
• /
• v.20 no.2
• /
• pp.165-177
• /
• 2003

This paper presents the prototype of corporate credit rating system using analytic hierarchy process (AHP). Prior studios have proposed various models of credit rating system, but most studies considered only financial information. Financial information, however, is only a small part of corporate information. In this study, the proposed credit rating system integrates both financial and non-financial information. Fifteen corporations are tested for the usefulness of the proposed system.

• The Journal of Information Systems
• /
• v.16 no.3
• /
• pp.1-20
• /
• 2007

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, this study presents a corporate credit rating method using business failure probability map(BFPM) and AHP(Analytic Hierarchy Process). The BFPM enables us to rate the credit of corporations according to business failure probability and data distribution or frequency on each credit rating level. Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the BFPM and the AHP model using both financial and non-financial information. Finally, the credit ratings of each firm are assigned by our proposed method. This method will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings.

• KDI Journal of Economic Policy
• /
• v.38 no.3
• /
• pp.53-77
• /
• 2016

Financial soundness in the household sector matters for financial stability and for the real economy. The level of household debt in Korea raises concern about the financial soundness of the household sector due to its size, growth rate and quality. Against this backdrop, we assess the financial vulnerability of borrowers based on an analysis of credit bureau (CB) data, in which the actual credit activities of most individuals are recorded at a high frequency in Korea. We construct over-indebtedness indicators from the CB data and then assess the predictability of forthcoming defaults. Based on the over-indebtedness indicators, we show how borrowers are distributed in terms of over-indebtedness and how the over-indebted differ from average borrowers in terms of their characteristics. Furthermore, we show how the aggregate credit risk in the household sector would change under macroeconomic distress by analyzing how each borrower's credit quality would be affected by adverse shocks. The findings of this paper may contribute to assessing household debt vulnerability and to enhancing regulatory and supervisory practices for financial stability.

• Journal of Families and Better Life
• /
• v.7 no.2
• /
• pp.61-70
• /
• 1989

The present study investigated characteristics of Korean hourehelds in the expanding stage of the family life cycle depending on decision-making of current and planned credit card use. Households which were selected for this study had at least one dependent child enrolled in primary, middle, or high school, 1998. Regarding current and planned credit card use, credit card holder (n=379) and non-holder (n=259) households and continuous (n=331) and discontinous (n=47) credit card holder households were compared. Comparisons were perfomed by t-test, one-way ANOVA, and X2-test. Related factors were households demographic characteristics, financial management behavior, perceived financial well-being, and attitudes toward credit cards. Findings indicated that holder households tended to be younger, better educated, white-collar workers, and of a higher economic status than non-holders. In comparison to non-holder households, credit card holder households had more favorable atti udes toward credit cards, reported more financial management practices, experienced less financial unbalance, and were more satisfied with their household finaces. Compared to discontinuous credit card holder households, continuous card holder households tended to be larger, have better educated wives and husbands, and have husbands who were white-collar workers. They were more likely to have higher average monthly income than discontinuous holder households. Continuous card holder households also had more favorable attitudes toward credit cards, and more strongly believed and expected financial improvement of their households, compared to discontinuous card holder households.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.7
• /
• pp.35-47
• /
• 2020

An economic downturn can occurred through unexpected events in various fields, such as the subprime mortgage crisis and the outbreak of Coronavirus Disease-2019 (COVID-19). Trade credit is important for small- and medium-sized enterprises (SMEs), especially during a monetary contraction, as it is the last option for firms that lack bank credit. This study aims to determine whether trade credit is profitable for the buyer and supplier firms during and after a financial crisis. We use panel data consisting of all trade credit transactions and financial statements of 5,751 Korean firms during the period 2008-2012. It shows that trade credit is more profitable for both buyers and suppliers in the post-crisis period than during the crisis. Moreover, trade payable is more effective for unconstrained buyers than for constrained buyers. Finally, a mixed strategy is superior to an aggressive or passive strategy of SMEs. The results suggest less profitability of trade credit during a period of contraction and greater sensitivity of the buyer SMEs, emphasizing the idiosyncratic liquidity strategy of each firm. This study can be helpful to develop a strategy of profitable trade credit for SMEs and to establish a policy of managing liquidity for the authority.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.1241-1248
• /
• 2021

This study employs data from CRSP/Compustat files for the period from 2003 to 2017 and applies a panel data analysis. The results of this study show a positive relationship between trade credit and the firm's market value, however, the results show a negative relationship if we test the impact of financial credit on the firm's market value. The results have direct policy implications for investors, the firm's management, and financial strategy. An implication of our study is that using trade credit as a source of financing may give a positive signal of the firm's creditworthiness and increase the firm's market value. Also, the results of our study indicate that the benefits of using trade credit may outperform the cost of using it as a source of finance. Prior studies examine the impact of financial leverage on the firm's value, however, this study contributes to the existing studies that examine the factors that affect the firm's market value by examining the impact of using trade credit finance on the firm's market value. The main limitation of this study is that the results are based on listed firms, using data from unlisted firms is not available.

• Communications for Statistical Applications and Methods
• /
• v.15 no.4
• /
• pp.615-631
• /
• 2008

Current credit evaluation models based on only financial data except non-financial data are used continuous data and produce credit scores for the ranking. In this work, some problems of the credit evaluation models based on transformed continuous financial data are discussed and we propose improved credit evaluation models based on categorized financial data. After analyzing and comparing goodness-of-fit tests of two models, the availability of the credit evaluation models for categorized financial data is explained.