• The Journal of the Korea Contents Association
• /
• v.20 no.6
• /
• pp.38-50
• /
• 2020

The purpose of this study is to identify the risks to financial institutions in terms of expanding potential risks due to the deferral of exposure, by identifying the structures in which real estate finance and financial institutions affect real estate prices at low interest rates. To this end, real estate financing is categorized according to the method of financing and the type of value measurement from a risk management perspective and analyzed for each case. As a result of analysis, in the case of profitable real estate, the rate of real estate is increased by directly decreasing the cap rate and directly affecting the fair value calculation method. In the case of non-profitable real estate, the real estate price is increased by expanding the leverage width of investors or financial institutions. Through the analysis of this case, the continuous increase in real estate prices over the past 10 years has the potential to prevent financial institutions from losing under the circumstances such as the growth of real estate finance due to the advancement of the financial market and the continued low interest rate trend that has continued for 10 years. It is judged that the deferred delay is part of the cause, which leads to an increase in the risk to financial institutions.

• Knowledge Management Research
• /
• v.21 no.3
• /
• pp.229-247
• /
• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.14 no.4
• /
• pp.179-190
• /
• 2019

To alleviate financing difficulties of small and medium sized enterprises (SMEs), the government and municipal governments are providing a variety of SME policy funding programs. This study introduced the policy funding program of Gangwon-do and quantitatively analyzed the financial performance of companies supported by the Gangwon-do SME policy fund in the year 2014. Specifically, we compared the financial ratios for three years, from 2013 to 2015, between funded firms and non-funded firms. In addition, we applied a regression analysis to see if the policy funding program contributed to profitability (the operating profit growth and return on equity), stability (the interest coverage ratio and debt-to-equity ratio), and growth (the asset growth and sales growth) of the funded firms. The empirical results show that the firms that received the policy funds did not show any improvement compared to non-funded firms in terms of profitability, stability, and growth. This suggests that Gangwon-do should improve the policy funding program, that currently provides only an interest amount of 2-4% of the corporate loan principal, without any strategic selection criteria for the target funded firms, and without any follow-up management system, after support.

• International Commerce and Information Review
• /
• v.14 no.1
• /
• pp.87-114
• /
• 2012

The purpose of this paper is to analyze the economic effects of Foreign Direct Investment(FDI) and human capital using VECM in Korea from 1970 to 2009. Empirical results through VECM show that the coefficients of GDP, GFO(gross fixed capital), LAB(total labor), EXO(export), PCDB(public and commercial loan) and FDI have had a positive impact on Korean economic growth. In contrast, the effects of PCDB and FDI were not as significant as the other variables. In particular, the interaction effect, $FDI^*EDU$(the college graduation variable), was more important than that of the FDI alone. However, the coefficient of $FDI^*EDU$ was not so big. Korean government needs to attract more FDI to enhance Korean economic growth rate by the improvement of investment environment. There are a big amount gap between notification FDI and arrival FDI in Korea. So Korean government and companies should actively persuade foreign investors to invest after their investment notification. Also the Korean college authorities should emphasize more on curriculum which adapts to company skill in the field work.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.8 no.4
• /
• pp.37-47
• /
• 2013

This study investigates regional financial markets and proposes some policy measures for boosting up the regional financial system. Financial supports for start-ups, small and medium sized enterprises(SMEs) in early stage growth have been constrained due to expanded financial gaps among regions during financial restructuring period. The bank consolidation through M&A is associated with widening financial gaps between Seoul area and others, and between regions where regional banks survives or not. Loans to small firms are associated with relationship lending techniques that may be better supported by smaller regional banks. The loan rate to SMEs in locals where regional banks are activated has tended to be 10%point higher than the locals where regional banks closed, and also drive the greater contribution for preventing local capital outflow and promoting local capital investment by local penetrating strategy. Government should develop regional financial policies to boost up regional financial system, and expand the business area of regional financial institutions for supporting start-ups and SMEs.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.77
• /
• pp.215-237
• /
• 2018

This study closely examines domestic supplementary measures implemented for Free Trade Agreements (FTA) concerning the agriculture and livestock industry and finds out their problems and put forward improvement measures in terms of their system and contents. The systematic problems with previously established supplementary measures are as follows. First, the existing short and long term measures does not comply with each FTA's special and unique economical, political and legislative purpose. Secondly, they focus on improvements for individual FTAs. They must be holistic and integrative considering all FTAs, thus producing synergy to reach better policy overall. Lastly, FTA policies and the measures must reflect the expanding size and scope of regional economic integration. Problems or concerns in existing supplementary measures include first, flexible financing. The government hands out loans to players in the industry based on assets but these loans must be flexible to market interest changes and must include reduced mortgage rate options. Secondly, rigid standards that trigger direct loss prevention, establishing maximum and minimum loan limits, and developing a comprehensive standard for identifying crops to support are all problems that need to be addressed. Thirdly, education of next and future agricultural generation is paramount in building a competitive workforce. Fourthly, the government must identify industries lacking in performance or short in supply to cease or reducing funding. Last but not least, the government should actively search for new markets for export and produce long term road maps for export growth.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.5 no.4
• /
• pp.231-247
• /
• 2009

With the growth of e-commerce banks make the best use of internet banking which can provide all sorts of financial services in cyber space and satisfy customers beyond traditional banking services which are cash reserve and loan based on retail. For survival of internet banking high quality of service should be provided to customers. For this, the attributes of service quality in internet banking should be identified first. The studies on scale of service quality in internet banking have been divided into two ways. While traditional way has focused on SERVQUAL, several researchers have developed scale of e-service quality. However, the dimension of e-service quality is applied from the traditional dimension of service quality. In this paper five dimensions of tangibles, reliability, responsiveness, assurance, and empathy based on SERVQUAL are used as scale of service quality in internet banking through reviewing previous studies. In addition, because service value is correlated to service quality, the dimensions of service quality can affect e-service value. The positive relationship among e-service value, customer satisfaction, and customer loyalty in online or offline service has been identified by previous studies. The purpose of this study is to identify the relationship among service quality, e-service value, customer satisfaction, and customer loyalty in internet banking. SPSS 12.0 is used to test validity and reliability of questionnaire items and correlation of variables and AMOS 4.0 is used to test the hypotheses. The results of this study show that the responsiveness, assurance, and empathy factors of service quality have a positive effect on service value and that the tangible and assurance factors have a positive effect on customer satisfaction. It also shows that e-service value affects positively customer satisfaction and loyalty. Customer satisfaction affects positively customer loyalty. Therefore, to enhance customer satisfaction and loyalty, service quality and value of internet banking should be improved through reinforcing customers' trust in internet service quality.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.347-356
• /
• 2020

Mechanization and automation constitute an essential stage in the production and operation of any company, as one of the determinants of increase in labor productivity and decrease in product price, while significantly contributing to shortening of the lead time. Businesses are, therefore, able to quickly put projects into operation, improving economic efficiency, quality, and aesthetics, which speeds up the national economic growth. For the construction industry to be the most effective, modern construction equipment is a necessity. It is one of the five main resources of a construction project. Thus, effective construction equipment management contributes to the success of a project and benefits the relevant construction companies economically. This paper presents the critical risk factors affecting equipment management and proposes suitable solutions. The questionnaire-based survey with experienced experts in the construction sector on the management of the likelihood and consequence of risk factors revealed thirty-two risks for equipment management in construction companies. These factors fell into six groups: (i) site organization-related risks; (ii) management-related risks; (iii) owner-related risks; (iv) supplier-related risks; (v) legal risks, and (vi) site condition-related and external risks. The results showed that management-related factors contributed to the most significant risks and problems for equipment management in construction companies.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.185-192
• /
• 2022

This study investigates the effect of the semi-supervised learning(SSL) method on predicting default risk of peer-to-peer(P2P) loans. Despite its proven performance, the supervised learning(SL) method requires labeled data, which may require a lot of effort and resources to collect. With the rapid growth of P2P platforms, the number of loans issued annually that have no clear final resolution is continuously increasing leading to abundance in unlabeled data. The research data of P2P loans used in this study were collected on the LendingClub platform. This is why an SSL model is needed to predict the default risk by using not only information from labeled loans(fully paid or defaulted) but also information from unlabeled loans. The results showed that in terms of default risk prediction and despite the use of a small number of labeled data, the SSL method achieved a much better default risk prediction performance than the SL method trained using a much larger set of labeled data.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.1
• /
• pp.435-440
• /
• 2022

This study analyzed the impact of changes in real estate prices on the soundness of Korean banks using multiple regression models. As a result of the analysis, changes in real estate prices significantly increase the banks' non-performing loans through the increase in loans. Among macroeconomic variables, short-term interest rates were found to have a significant effect on all soundness indicators such as BIS capital adequacy ratio, non-performing loans ratio, and liquidity coverage ratio. Among the bank characteristics indicators, the loan growth rate had a significant negative effect on BIS capital adequacy ratio, and the real estate mortgage rate had a significant positive effect. In additional, it was found that non-performing loans ratio and liquidity coverage ratio had a negative effect on BIS capital adequacy ratio.