• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.207-224
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• 2018

In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.47-52
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• 2022

The purpose of this study is to identify the risk level of Chinese commercial banks' loan assets and to analyze what factors affect the stability of Chinese commercial banks. In addition, Chinese commercial banks are classified based on the asset size of 200 billion yuan, and the difference in stability according to size is investigated. The analysis results are as follows. First, it was estimated that as the proportion of household and corporate loans of commercial banks in China increased, the stability of banks decreased. Although the Chinese financial authorities are currently restricting the conservative management of loan assets, it will be necessary to preemptively manage risk on loan assets by setting an appropriate standard for loan-to-deposit ratio in the future. Second, as a result of analyzing the stability of large banks based on 200 billion yuan of bank assets, it was estimated that the stability of large banks was lower. As large banks are likely to conduct aggressive loan asset management, continuous management of non-performing assets is required in the future. This study will serve as a measure for improving the stability of commercial banks in China by estimating the effect of loan asset management of Chinese commercial banks on financial stability. In particular, by examining the stability of large banks, a strategy for sustainable development of the financial industry is required by diagnosing the weaknesses of large banks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3768-3774
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• 2009

This paper explored how soft information and hard information were used when SBC(Small Business Corporation, Korea) reviewed government loan applications. The data set is made up of financial and non-financial data of small-business firms since 2004. A non-financial data set is considered as soft information. Relative importance of three kinds information such as credit information, soft information, financial information is compared with each other by using the logit model. As a result, credit information is most critical to the loan approval, and then soft information follows, lastly financial information has the smallest effect on the loan approval. This is because the credit information is made up of the non-linear combination of soft information and financial information. When the relative importance of soft information and financial information is considered, soft information is relatively more critical to the loan approval then financial information. This is because financial ratios provided by small-business firms are not reliable enough.

• Journal of Korean Library and Information Science Society
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• v.33 no.1
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• pp.291-322
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• 2002

Korean medical libraries have made interlibrary loan active under the korean medical library association since 1969, the sharing acquisition of journals has not been peformed efficiently in the absence of a bibliographic control institute. The medical library of seoul national medical university which is designated to a medical professional information center by korea education academy information developed MEDLIS linking the union catalog and interlibrary loan system and has been operating it in cooperation with the korean medical library association. Two types of questionaries were sent to 350 medical researchers and 160 medical librarians to investigate the realities of domestic and foreign medical information institutes, develop sharing systems and find a solution for sharing systems. Also, some analyses for the recent state of duplicate subscriptions, interlibrary loan, demands for system operations un the basis of the statistics of MEDLIS users were made. The result showed that medical researchers and medical librarians are affirmative for MEDLIS, users need a convenient interlibrary loan system and medical librarians agree to activate interlibrary loan. It also showed that sharing acquisition of journals seemed to be realizable for medical librarians, although there was no intention to improve the centralization of interlibrary loan among them. From the findings, a plan for sharing acquisition of journals established by the sharing acquisition committee under korea medical libraries society and national 8 local centers to play a key role in it was made. Also, a proposal for the establishment of an information center for controlling korean medical bibliographies was suggested. This system will be expected to contribute to make users to acquire materials more effectively and save the national budget.

• Journal of Educational Research in Mathematics
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• v.13 no.3
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• pp.227-246
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• 2003

In this paper, some terms of high school mathematics which read Chinese characters phonetically in Hangul are studied semantically. Nowadays, most terms of high school mathematics are terms of Chinese characters given the reading of them in Hangul alphabet. In such terms of Chinese characters, there are many loan-words from daily life and newly coined terms. Some such terms are examined in respect of meaningfulness and rule-ness. The degree of meaningfulness and rule-ness of loan-words from daily life are relative. Students seems familiar to loan-words usually, but it is difficult to know whether students seems to be familiar to loan-words or not. Degree of familiarity to a certain loan-word must be relative. In loan-words, there are such terms whose mathematical meaning is different from daily life meaning. Such terms are strong in rule-ness. Newly coined terms are strong in rule-ness. Students are not familiar to newly coined terms which are not used in daily life and have only mathematical meaning. In coining new terms using Chinese character, unit characters are related directly or indirectly to concept which unit characters want to express. So, It is possible to guess something unit characters want to express by investigating them. According to Vinner(1991), images can be evoked. But in case of reading Chinese characters phonetically in Hangul, it can not be guaranteed for Hangul mathematical terms to evoke images which the original mathematical terms evoked. To solve such problems semantic investigation of mathematical terms has been suggested. Through this process, transplanting images which the original mathematical terms evoked into Hangul terms are planned.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.117-125
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• 2019

This study measured inefficiencies of Korean banks with weighted Russell directional distance function, WRDDM, for the years of 2004-2013. Checking contributions of inputs and outputs to these inefficiencies, we found that non-performing loan as undesirable output was the most influential factor. The annual average of inefficiencies of Korean banks was 0.3912, and it consisted of non-performing loan 0.1883, output factors 0.098 except non-performing loan, input factors 0.098. The annual average inefficiency went sharply up from 0.2995 to 0.4829 mainly due to the sharp increase of inefficiency of non-performing loan from 0.1088 to 0.2678 before and after 2007-2008 Global financial crisis. We empirically showed the non-performing loan needed to be considered since it was the most important factor among the influential factors of technical inefficiency such as manpower, total deposit, securities, and non-performing loan. This study had some limitation since we did not control financial environment factor in WRDDM.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.153-158
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• 2024

Recently, concerns about the spread of credit risk in China's real estate market are gradually increasing. Therefore, it is very meaningful to diagnose the management stability of Chinese commercial banks. This study analyzes the impact of housing prices on the loan proportion and management stability of Chinese commercial banks. In addition, we classify Chinese commercial banks according to size and verify whether there are differences in loan proportion and management stability. If there is a difference by scale, the effect of interaction with housing price changes is also verified. The analysis results are summarized as follows. First, it was found that as the housing price growth rate increases, the proportion of loans from Chinese commercial banks increases. Second, as the rate of increase in housing prices and the proportion of total loans increases, management stability appears to decrease. Third, larger banks were found to have a higher proportion of loans, and smaller banks were found to have greater management stability. The results of this analysis show that Chinese commercial banks' aggressive expansion of their loan proportion is lowering their management stability. Therefore, it is necessary to adjust the loan ratio to the appropriate size level and secure stability with differentiated strategies according to the loan ratio

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.213-220
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• 2017

This Study conducts a survey of ICT SMEs participating in 'ICT Government Sponsored Loan Project' for researching general demands on Government sponsored loans and studies successful company case by inspecting background of R&D, performances, impacts, prospects, episodes, etc. Actually, survey results show that ICT SMEs demand more of Government sponsored loans and that stable financing is a core factor and the most difficult task for successful R&D. In conclusion, these results implicate that Government has to create new policies for competitive ICT SMEs to recover financial stability through developing and commercializing technologies.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.35-42
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• 2018

In recent decades, financial crises in various countries have often been preceded by the rise in non-performing loans (NPLs) in the banks' asset portfolios. The increase in NPLs is proven to have adverse impact on the banking sector so that understanding the determinant of NPLs is immensely crucial to ensure the efficiency and soundness of the overall economy. This study aims to shed light on bank-specific factors that affect loan default problems in developing countries whose banking sectors play a major role in the overall economy. This study analyzes panel data sets of 36 commercial banks listed in the Indonesian Stock Exchange during the period 2008-2015. Applying fixed-effects panel regression model reveals that Indonesian banks' profitability and credit growth negatively influence the number of NPLs. Moreover, banks with higher profitability are proven to have lower NPLs because they can afford adequate credit management practices. Likewise, banks with higher credit growth evidently have lower NPLs in the sense that they demonstrate more specialized lending activity and thus have better credit management systems. These findings imply that, in order to lower loan defaults that can deteriorate banks' asset quality, banks should maintain their level of profitability and increase, rather than decrease, their credit supply to debtors.

• Korea Journal of Hospital Management
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• v.11 no.4
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• pp.19-36
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• 2006

This study aims to examine the influence of growth rate, profitability and current ratio, which are confronted with static trade-off theory and pecking order theory, on capital structure of superior hospital and bankrupt hospital. Firstly, superior hospitals show positive correlation between growth rate and short-term loans, long-term loans, and short-term liabilities while bankrupt hospitals represent negative correlation. Superiority hospital and bankruptcy hospital show different financing behaviors, especially, short-term loan is the significant characteristic that discriminates between superior hospital and bankrupt hospital. Secondly, this paper studied the correlation between profitability and short-term loan, which the superior hospitals shows negative correlation, to contrast, bankrupt hospital have positive correlation. Consequently, the short-term loan is the most distinguishable factor between the superior hospital and bankrupt hospitals in terms of profitability. To conclude, this study shows that excess short-term loans can be the most important cause for hospital's bankrupt. Accordingly, strategic and effective policy about the short-term loan will be required in order to protect hospital's bankrupt.