• 한국정보시스템학회지:정보시스템연구
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• 제16권3호
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• pp.109-132
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• 2007

In the paper, we builds an advanced new credit evaluation system for Micro-small sized individual firms through appropriate evaluation factors derived by logistic regression analysis for credit evaluation model using in Korean Federation of Credit Guarantee Foundations, and the weights of factors computed by analytic hierarchy process(AHP). Industry characteristics are more applied to previous credit model with the additional the financial fact-information and non-financial judgement-information. Our results show that the financial factors have become more important than three years ago. Moreover, in the non-financial factors, the fact-information factors consider more important then the judgement-information factors. A new credit evaluation system is developed based on this credit evaluation model.

• 가정과삶의질연구
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• 제23권2호
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• pp.77-91
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• 2005

The purpose of this study is to investigate general tendencies in credit card use, and determine the causes of the use of cash advance service and deferred payment among college students. Socio-demographic variables(gender, year in college, allowance, family income, parents' education and occupation, having taken a personal financial management course), knowledge and attitudes toward credit card, and financial management practices were incorporated as antecedent variables. Logistic regression analysis and multiple regression analysis were conducted to test the hypotheses. The results were as follows ; First, $32\%$ of the college students with no regular income experienced deferred payment, and $60.4\%$ of them had used a cash advance service. Second, the frequency and amount of cash advance service use were affected by family income, financial practices, and allowance. The financial practice as a parameter was affected by their completion of a personal finance course and their allowance. Third, deferred payment of credit was affected by their knowledge on credit cards and their financial practices. The financial practices as a parameter were affected by the family income and their completion of a personal finance course, and the knowledge on credit cards was affected by gender. Lastly, implications and suggestions for credit card use behavior research and consumer credit education are discussed in this article.

• 한국정보시스템학회지:정보시스템연구
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• 제18권4호
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• pp.41-57
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• 2009

Although financial information is a great influence upon determining of the group which use them, detection of management fraud and earning manipulation is a difficult task using normal audit procedures and corporate credit evaluation processes, due to the shortage of knowledge concerning the characteristics of management fraud, and the limitation of time and cost. These limitations suggest the need of systemic process for !he effective risk of earning manipulation for credit evaluators, external auditors, financial analysts, and regulators. Moot researches on management fraud have examined how various characteristics of the company's management features affect the occurrence of corporate fraud. This study examines financial characteristics of companies engaged in fraudulent financial reporting and suggests a model and system for detecting GAAP violations to improve reliability of accounting information and transparency of their management. Since the detection of management fraud has limited proven theory, this study used the detecting method of outlier(upper, and lower bound) financial ratio, as a real-field application. The strength of outlier detecting method is its use of easiness and understandability. In the suggested model, 14 variables of the 7 useful variable categories among the 76 financial ratio variables are examined through the distribution analysis as possible indicators of fraudulent financial statements accounts. The developed model from these variables show a 80.82% of hit ratio for the holdout sample. This model was developed as a financial outlier detecting system for a financial institution. External auditors, financial analysts, regulators, and other users of financial statements might use this model to pre-screen potential earnings manipulators in the credit evaluation system. Especially, this model will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings and to improve the quality of financial statements.

• 가족자원경영과 정책
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• 제11권3호
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• pp.23-43
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• 2007

The purpose of this study was to examine how college students' attitudes toward the use of money and credit cards have affected their financial management practices. The data were collected from 231 college students in Seoul using by a self administered questionnaire. Frequencies, factor analyses, t-tests, ANOVA, and multiple regression were conducted using by SPSSWIN 12.0. The results from this study were as follows. First, results of the factor analysis of attitudes toward the use of money were divided into 5 dimensions such as instrument of ostentation, sufficiency of desire, source of anxiety, diligence and economy, and instrument of preparation for the future. Attitudes toward the uses of credit cards were divided into 3 dimensions, such as positive affection, cognition of reverse function, and attitudes of use-behavior. Financial management practices were divided into 2 dimensions: planning and performing. Second, social-demographical & economical factors, among such as gender, allowance, financial stress, number of credit -cards possessed, and expenses of credit -cards totals each month were significant in the regression analyses for the financial management practices. The results indicate that attitudes toward the use of money have a bigger effect on financial management practices than attitudes towards credit cards. Specifically, attitudes toward the use of money as an instrument of preparation for the future had the most effect on the financial management practices. These results imply that for sound financial management practices to take place, there needs to be education on attitudes toward the use of money.

• 유통과학연구
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• 제22권3호
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• pp.49-58
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• 2024

Purpose: Research on financial development plays a crucial role in guiding and implementing policies for both financial development and economic growth. This study aims to evaluate the impact of financial development on the economic growth of Southeast Asian countries. Research design, data and methodology: The research utilizes data from 11 Southeast Asian countries from 2015 to 2022. Financial development data is proxied by credit distribution in private sector. Results: Based on the analysis using the FGLS model, it indicates that financial development has a positive impact on the economic growth of Southeast Asian countries. In addition, the study also examines the impact of state investment costs and FDI investment on economic growth. The results also show that foreign direct investment flows still play an important role in Southeast Asian countries (FDI has a positive impact on economic growth). State investment costs also impact economic growth, showing that the development of public investment also brings good development to countries. Conclusions: These results suggest that credit policies for financial development in general, and the development of private credit in particular, play a significant role in these countries. Building a system to promote the activities of private sector economies will help stimulate the economic development of Southeast Asian countries.

• 가족자원경영과 정책
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• 제1권1호
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• pp.131-140
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• 1997

The Purpose of this study were to examine the relationship between the motive of revolving credit card in the use of credit and financial management. The Samples were composed of 239 housewives in Seoul. The data were analized using frequency, percentages, and multiple regression. The major findings are summarized of follows : 1) Two-thirds of repondents used credit card over optimum standards. 2) Although the level of the motive of revolving credit in the use of credit card was not high, it was negative to financial management in the case of low-income household. 3) The contents of consumer education has to provide according to a different income class.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.165-176
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• 2021

The paper has used the Solow-Swan growth model to analyze the long-term impact of credit market development and stock market development on economic growth in Asia from 2000 to 2019. The empirical model is performed with panel cointegration analysis by Common Correlated Effects (CCE) method with cross-sectional dependencies. The results find that there exists a cointegration relationship among stock market, credit market development, and economic growth. These results also show that financial structure improves the exact impact of financial development on economic growth, namely the opposite effect of stock market development and credit market development. Moreover, the Granger causality test reveals a bi-directional relationship between credit market development and economic growth, while only unidirectional causality from stock market development to economic growth for the whole group panel. And it is different for a specific country, according to Kónya's test. The view of the new structuralism does not apply in the Asian financial system when we estimate the Nonlinear Autoregressive Distributed Lag model (NARDL) to analyze the asymmetric relationship between financial structure and economic growth. On the whole, policymakers can draw on the findings to provide policy implications to improve their country's financial system as well as pursue the goal of sustainable economic growth.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3627-3641
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• 2021

Fintech, which stands for financial technology, is growing fast globally since the economic crisis hit the United States in 2008. Fintech companies are striving to secure a competitive advantage over existing financial services by providing efficient financial services utilizing the latest technologies. Fintech companies can be classified into several areas according to their business solutions. Among the Fintech sector, peer-to-peer (P2P) lending companies are leading the domestic Fintech industry. P2P lending is a method of lending funds directly to individuals or businesses without an official financial institution participating as an intermediary in the transaction. The rapid growth of P2P lending companies has now reached a level that threatens secondary financial markets. However, as the growth rate increases, so does the potential risk factor. In addition to government laws to protect and regulate P2P lending, further measures to reduce the risk of P2P lending accidents have yet to keep up with the pace of market growth. Since most P2P lenders do not implement their own credit rating system, they rely on personal credit scores provided by credit rating agencies such as the NICE credit information service in Korea. However, it is hard for P2P lending companies to figure out the intentional loan default of the borrower since most borrowers' credit scores are not excellent. This study analyzed the voices of telephone conversation between the loan consultant and the borrower in order to verify if it is applicable to determine the personal credit score. Experimental results show that the change in pitch frequency and change in voice pitch frequency can be reliably identified, and this difference can be used to predict the loan defaults or use it to determine the underlying default risk. It has also been shown that parameters extracted from sample voice data can be used as a determinant for classifying the level of personal credit ratings.

• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.789-800
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• 2008

Current credit evaluation models based on financial data make use of smoothing estimated default ratios which are transformed from each financial variable. In this work, some problems of the credit evaluation models developed by financial experts are discussed and we propose improved credit evaluation models based on the stepwise variable selection method and Box-Cox transformed data whose distribution is much skewed to the right. After comparing goodness-of-fit tests of these models, the validation of the credit evaluation models using statistical methods such as the stepwise variable selection method and Box-Cox transformation function is explained.

• 한국생활과학회지
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• 제18권1호
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• pp.123-136
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• 2009

Debt and credit problems in Korea have been escalated during the past decade. The number of people with debt and credit problems is in its historic high. In May 2008, about 2.48 million debtors are officially classified as bad debtors and 7.20 million people have low credit scores. People with low credit scores are in disadvantageous situation in the financial market thus their financial transactions and activities are limited. In 2004, Korean government introduced various credit rehabilitation programs. However, most of these problems are remedial in nature and preventive programs such as credit counseling and debtor education are lacking. The purpose of this review is to examine US credit counseling and debtor education programs to obtain insights for preventive credit program developments in Korea. The review focused on programs offered through National Foundation for Credit Counseling, Jump Start, and Cooperative Extension Services from two large land grant Universities. From the program review suggestions and recommendations for educational contents, program and educator developments, and program quality control were discussed.