• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.9-20
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• 2018

Global rating agencies, such as Moody's and S&P, have assigned credit ratings to corporate bonds issued by Japanese firms since 1980s. Local Japanese rating agencies, such as R&I and JCR, have more market share than the global raters. We examine the yield spreads of 1,050 yen-denominated corporate bonds issued by financial firms in Japan from 1998 to 2014 and find no evidence that bonds rated by at least one global agency are associated with a significant reduction in the cost of debt as compared to those rated by only local rating agencies. Unlike non-financial firms, the reputation effect of global rating agencies does not exist for Japanese financial firms. We also observe that firms with less information asymmetry are more likely to acquire ratings from Moody's or S&P. Additionally, the firm's financial profile does not affect its choice to seek out ratings from global raters. Our findings are contradictory to those by Han, Pagano, and Shin (2012), who employ bonds issued by non-financial firms in Japan. Our conjecture is that the asymmetric nature of financial firms makes investors less likely to depend on a credit risk assessment by rating agencies in determining the yields of new bonds.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1045-1052
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• 2021

The main purpose of this paper is to explore the relationship between financial inclusion and socio-economic and demographic factors. Ownership of bank accounts, availing of credit facility, and use of mobile banking were considered the major indicators of financial inclusion. To achieved this objective, the present study was conducted in the rural regions of three hill districts of Uttarakhand. 780 rural households were selected by using stratified and judgment sampling technique. To measure the association between the variables, binary logistic regression model was employed. The findings of the study revealed that there is a significant association of socio-economic variables with financial inclusion. The overall analysis of the study indicates that the likelihood of having bank account, usage of mobile banking facility, and availing credit facility increases with the increase in the financial literacy of an individual in hill rural regions of the state. Further, the study also indicates the vulnerability of women relative to that of men in both cases of mobile usage and availing credit. The findings of the study suggest to target the economically vulnerable section of population (as identified in case of having low financial inclusion) and enhancing the financial literacy in these regions.

• IE interfaces
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• v.20 no.4
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• pp.448-457
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• 2007

The small & micro business has the characteristics of both consumer credit risk and business credit risk. In predicting the bankruptcy for small-micro businesses, the problem is that in most cases, the financial data for evaluating business credit risks of small & micro businesses are not available. To alleviate such problem, we propose a bankruptcy prediction mechanism using the credit card sales information available, because most small businesses are member store of some credit card issuers, which is the main purpose of this study. In order to perform this study, we derive some variables and analyze the relationship between good and bad signs. We employ the new statistical learning technique, support vector machines (SVM) as a classifier. We use grid search technique to find out better parameter for SVM. The experimental result shows that credit card sales information could be a good substitute for the financial data for evaluating business credit risk in predicting the bankruptcy for small-micro businesses. In addition, we also find out that SVM performs best, when compared with other classifiers such as neural networks, CART, C5.0 multivariate discriminant analysis (MDA), and logistic regression.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.5
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• pp.762-767
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• 2002

In this paper, We suggest Credit Card and On-line Financial Business Method Using on Wireless Terminal. First, wireless mobile terminal of credit card member is received suity code from dealing verification system of credit card company. Second, a credit card member give security code to member store. Third, the security code is compared with security code of the member in dealing verification system of credit card company.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.377-402
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• 2003

This study aims at analysing basic operational grounds of regional financial institutions in Pusan. Since 1980s many papers have discussed the issues how to develop the regional financial market. But they have neglected regional financial institutions and failed to clarify their roles in the regional economy. Recently the central government expels many regional financial institutions under financial distresses from the regional financial market without assessing their roles in the regional economy. This paper shows that regional financial institutions are indispensible for the stability and development of the regional economy, especially because they can supply credit to the small firms and households which have vulnerable credit standings and are tightly constrained in their access to bank credit. This paper also examines how credit unions deal with the problems caused by asymmetric information after the collapse of solidarity.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.2
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• pp.133-147
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• 2011

This study presents the credit evaluation model for medical venture business which has been growing within the recent decade. We develop the model with two steps. At the first step, the evaluation indexes for each of the financial and non-financial factors of a firm are listed. At the second step, the weight for each index is measured by using the Analytic Hierarchy Process of Saaty(1980). The financial factors consists of 5 upper level indexes and 10 lower level indexes. The upper level indexes of the financial sector are profitability, safety, utilization, growth, and productivity. And the non-financial factors consists of 5 upper level indexes and 17 lower lever indexes. The upper level indexes in this sector are manager's competence, technical capability, marketability, business validity, and reliability. In order to get the empirical results for our model, we conduct the questionnaire survey targeting the credit assessment officers, who are practicing at the financial institutions or the credit guarantee company located within the Wonju Medical Devices Cluster.

• Journal of Family Resource Management and Policy Review
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• v.15 no.2
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• pp.147-171
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• 2011

The purpose of this study was to examine low-income households' financial problems and the demand for financial counseling. For these purposes, a survey of 500 low-income households was conducted by an on-line survey company. The results were as follows. First, four types of low-income households classified by income and job criteria were: the not-working poorest (16.2%), the working poor (27.0%), the not-working low-income (13.8%), and the working low-income (43.4%). Also, seven areas of financial problems were found through factor analysis. They included difficulty of survival, insufficient funds for special expenditures, defaults on financial obligation, decrease of income, increase of debts, emotional anguish, and difficulty in meeting living expenditures. 61.6% of respondents requested financial counseling, and 44.5% of them preferred internet counseling to counseling by phone or in-person, while 49.5% desired access to public counseling organizations. The five types of financial counseling content for low-income households that were found through factor analysis were financial planning, credit management, asset management/investment, public support, and use of credit cards. The low-income householders demanded financial planning counseling and pubic support counseling more than the other types of financial counseling. Logistic regression analysis revealed that the demand for financial counseling participation was significantly influenced by age and income. The demand for financial counseling content was age, income, and types of financial problems. Therefore, general financial counseling programs for low-income households should be expanded. Furthermore, those counseling programs can be useful if they not only include credit management but also financial planning, economic support information and savings.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.89-92
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• 2000

The purpose of this thesis is to investigate the information content of commercial paper credit rating changes of Korean firms. The result shows neither sinificant daily abnormal returns nor significant cumulative daily abnormal returns over the test window. This ind icates that commercial paper rating changes are not informative to investors. A sensitivity analysis conducted for the portfolio of subsample shows a similar result. This thesis, however, may contribute to the better operation of Korean financial market by providing several directions to establish credit-based financial transactions.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.389-398
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• 2016

In this paper, we examine the financial performance of credit guarantee programs. We compared financial performance of guaranteed firms of KODIT and non-guaranteed firms. The of covariate adjusted propensity score method is used because a selection bias problem could occur if t-test or regression analysis were used. The results show that a credit guarantee program enhances the financial performance of beneficiary firms.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.351-362
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• 2020

This research investigates the credit management guidelines to strengthen Thai industrial sector. The research has been simulated from the findings of both qualitative and quantitative of 500 questionnaires distributed to industrial business executives in Thailand. The data were analyzed by descriptive analysis categorized into SME and large enterprises, and SEM to conduct the model in consistent with the empirical data. The results show that: (1) the credit management guidelines consist of 4 factors: a) characteristics management b) financial management c) operations management and d) assets management. The business executives gave overall importance on the guidelines at a high level with an average of 3.86. (2) The development of SEM shows that the model fits with the empirical data at Chi-Square probability level = 0.084, CMIN/DF = 1.164, GFI = 0.965 and RMSEA = 0.018. (3) The characteristics management directly influences the financial management and the operation management. The financial management directly influences on the assets management. The assets management has direct influence on the operations management. The findings show that the characteristics management is the essential starting component in SEM and the financial management factor has the most influence in the assets management variable with standard regression weight of 0.990.