• International Area Studies Review
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• v.22 no.1
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• pp.123-140
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• 2018

This paper analyzes herd behavior observed in the loan market from 2001 to 2014 using a panel data on commercial banks including state-owned banks, domestic private banks, foreign banks, and Islamic banks. The paper finds evidence that herd behaviors of domestic private and foreign banks have been pronounced and long-lasting around the 2008 global financial crisis when state-owned banks did not show such a behavior. This result shows that since private banks tend to be keen on maximizing profits and avoid financial risks exposed by lending during a financial crisis, their lending decisions are not independent but dependent on whether other banks increase loans or not. On the other hand, Islamic banks do not show herd behavior during the financial crisis. This finding is consistent with earlier studies that Islamic banks have different characteristics, such as profit and operation mechanisms, from other private banks. Another interesting finding is that when it comes to rural loans, all the banks' herd behavior is short-lived and the herding indexes are quite volatile. This finding is attributable to distinct features of rural loans. Usually maturities of rural loans are shorter than city loans and related to the cycle of farming. Agricultural production is heavily dependent on unpredicted factors, such as floods and droughts, not previous year's production. Lastly, the paper finds a herding across bank type that state-owned, foreign, and Islamic banks follow domestic private banks'lending decisions.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.147-162
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• 2020

The purpose of this study is to present practical improvement plans for policy fund support in national policy banks through an analysis of the efficiency of policy fund support. It targets small and medium-sized enterprises(SMEs) that received policy funding from national policy banks in '17 and '18 consecutively. As for the analysis method, characteristic analysis and corresponding sample T-test was performed. The analysis results are as follows. First, as a result of analyzing the characteristics of small and medium-sized enterprises, most of the financial funds were concentrated on the manufacturing industry. By region, the western region of Gyeonggi Province, by credit rating, was A grade, technology grade was T5, and the use of funds was mostly concentrated on facility funds. Second, as a result of efficiency analysis, profitability had a positive effect on total capital return, stability had a positive effect on interest compensation ratio, and activity had a positive effect on total capital turnover. In conclusion, it is expected to provide practical improvement plans to support policy funds to influence the growth and distribution of funds appropriate to the needs of SMEs.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.487-492
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• 2018

4차산업 혁명의 여파로 국내에서는 다양한 분야에 인공지능과 빅데이터 기술을 활용하여 이전에 시행 중인 다양한 서비스 분야에 기술적 접목과 보완을 시도하고 있다. 특히 금융권에서 자금을 빌린 기업들을 대상으로 여신 안정성을 확보하고 선제적인 대응을 위해 온라인 뉴스기사들과 SNS 데이터 등을 이용하여 부실가능성을 예측하고 실제 업무에 도입하려는 시도들이 국내 주요 은행들을 중심으로 활발히 진행 중이다. 우리는 국내의 국책은행에서 수행한 비정형 데이터 기반의 기업의 부실징후 예측 시스템 개발 과정에서 시도된 다양한 분석 방법과 결과 그리고 과정 중에 발생한 문제점들에 관해 기술하고 관련 이슈들에 관하여 다룬다. 결과적으로 본 논문은 레이블이 없는 대량의 기사들에 레이블을 달기 위한 자동 태거(tagger) 개발과 뉴스 기사 예측 결과로부터 부실 가능성을 예측하기 위한 모델 및 성능 면에서 기사 예측 정확도 92%(AUC 0.96) 및 부실 가능성 기업 예측에서도 정형 데이터 분석결과에 견줄만한 성과를 이루었고 이에 관해 보고한다.