• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.277-285
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• 2022

This study aims to investigate the impact of the Corona pandemic on the earning quality (EQ) of Saudi national banks. It was conducted to evaluate the measurement of the earning quality based on the Penman approach. The researchers used the analytical method to conduct the study to find the effect of this Pandemic. Data was collected from the annual reports for the period 2010 to 2020 from Saudi national banks, which are twelve according to the annual report for the Saudi central bank, and eight of them were selected as a sample of the study. The banks are Alinma Bank, Al Rajhi Bank, Bank Al Bilad, The National Commercial Bank, Bank Aljazeera, Riyad Bank, Samba Financial Group (Samba), and Arab National Bank. The study findings showed that the Corona pandemic had a negative impact on the Saudi economy, and led to deflation in 2020 by 4.1% due to the oil sector. They also showed reducing oil production by the (OPEC +) agreement to achieve stability in the oil market and the non-oil sector. It was also revealed that the profits of Saudi commercial banks in 2020 decreased by 23.1% and that the Corona pandemic had Caused the earning quality to decline in all the studied banks.

• 전기전자학회논문지
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• 제18권3호
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• pp.313-319
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• 2014

전력계통운영의 목표는 전력시스템의 안정성과 신뢰성을 유지하여 원활한 전력을 공급하는 것이다. 안정적인 전력 공급을 위하여 무효전력과 모선 전압에 대한 고려를 해야 하는데, 모선의 전압을 일정 범위 이내로 유지하기 위하여 커패시터 뱅크를 비롯한 다양한 방안이 사용되고 있다. 본 논문에서는 계통 안정도와 전력공급 신뢰도를 상시키기 위한 하이브리드 타입의 커패시터 뱅크 설계 과정에 대하여 기술하였다. 설계 과정에는 커패시터 뱅크의 용량 산정, 리액터 타입 결정 및 리액터 용량 산정과정이 포함된다. 기존의 커패시터 뱅크의 설계과정과 같이 정상상태 Q-V 해석이나 상정사고 분석과 같은 방법을 통하여 무효전력 마진을 계산하여 저전압이 발생하는 모선에 무효전력 보상량을 산정한다. 그리고 고조파 실측을 통해 산출된 개별 고조파의 성분 크기를 기반으로 직렬 리액터의 크기를 산정하는 방식으로 설계과정을 제안하였다. 논문에서는 제안된 방법을 통하여 고조파의 크기가 감소함을 증명하였으며, 특히 5차와 7차 고조파의 저감에 효율적임을 보여주었다.

• 한국농공학회논문집
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• 제46권5호
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• pp.99-106
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• 2004

Although fly ash has possesses viable engineering properties, an overwhelming majority of fly ash from coal combustion is still placed in storage or disposal sites. This study was undertaken to investigate the physical and mechanical properties of clay-fly ash mixture and to furnish engineering data when fly ash utilized as engineering materials. This paper includes geotechnical properties of fly ash, clay-fly ash mixtures and results of compaction test, unconfined strength test, direct shear test, leaching test and stability analysis of clay-fly ash bank slope. If proper amount of fly ash was put in clay, the clay-fly ash mixture has an increase of unconfined strength and stability of bank slope.

• KDI Journal of Economic Policy
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• 제46권1호
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• pp.91-129
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• 2024

한국은행은 금융위기 이후인 2011년 법 개정을 통해 기존의 물가안정 이외에 금융안정 책무를 추가로 부여받았는데, 그 이후 장기간에 걸쳐 가계신용이 소득 여건에 비해 빠르게 증가해 온 결과 최근의 가계부채 상황은 소비와 성장을 제약하고 부정적 경제충격발생 시 위기 발생 가능성을 높일 수 있다는 우려가 제기되고 있다. 현재의 금융불균형 누증 상황이 앞으로 우리 금융·경제의 안정적 흐름을 제약하지 않도록 정부와 중앙은행이 더욱 유의해야 할 시기인 것으로 판단된다. 본 연구는 BIS가 중장기 경제안정화를 위해 거시·금융안정(macro financial stability)을 모색하고자 제안한 정책운용 체계인 통합적 물가안정목표제(IIT)의 국내 적용 가능성을 점검해 보고, 정책적 시사점을 도출해 보았다. 우선 VAR 모형을 통해 통화정책의 주택가격, 가계부채 파급효과를 살펴본 결과, 금융위기 이후 금리 인하에 따른 위험선호 경향이 뚜렷하게 증대된 것으로 나타났다. 또한 DSGE 모형을 통해 2000년 이후 2021년까지 약 20여 년간의 통화정책 운영 행태를 분석해 본 결과, 한국은행은 기준금리 결정 시 물가와 성장을 종합적으로 고려하면서, 가계신용 증가에도 일부 대응한 것으로 나타나 약한 형태의 IIT를 운영한 것으로 분석되었다. 다만, 금리평활화 계수가 매우 높게 추정되어 금리 조정에 상당히 신중했던 것으로 나타났다. 한편, 중앙은행 손실함수를 최소화하는 최적 금리준칙을 추정해 본 결과, 물가와 성장을 균형적으로 감안하면서, 경제 여건 변화에 대응하여 기준금리를 보다 적극적으로 조정하고, 소득 여건에 비해 가계부채가 빠르게 증가하는 경우에는 가계신용 상황에도 유의하는 정책이 바람직한 정책방안으로 분석되었다. 이 같은 연구결과를 고려할 때 BIS가 제안한 통합적 물가안정목표제는 중장기시계에서 우리 경제의 안정적 성장을 뒷받침할 수 있는 정책체계 대안으로 고려해 볼 수 있을 것으로 판단된다.

• 한국산학기술학회논문지
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• 제16권1호
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• pp.255-265
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• 2015

은행 산업의 글로벌화에 따라 은행의 내실이 중요해지고 있다. 내실을 위해 은행의 효율 생산성이 중요해짐에 따라 은행은 이를 향상시켜야 한다. 효율 생산성을 강화시키기 위해 은행의 현 상황을 분석할 방법론이 필요하나 부족한 상태다. 따라서 본 연구에서는 효율성 측정방법론인 DEA중 BCC모델과 생산성 측정방법론인 Malmquist모델을 기반으로 하여 은행의 효율 생산적 위치를 분석할 수 있는 진단방법론을 개발하였다. 모델의 타당성을 검사하기 위해 2007년부터 2012년까지의 은행 데이터를 기반으로 조사 분석을 실시하였다. 분석결과 본 연구의 BCC - Malmquist모델과 당시의 은행위치가 유사함을 분석할 수 있었다. 또한 2012년의 데이터에 나온 결과 값을 바탕으로 2013-2014년에 각 은행이 취한 효율 생산성 향상 방법이 흡사함을 분석 가능하였다. 따라서 본 분석방법론은 은행의 효율 생산적 위치를 파악하기 용이하며, 타 분야에 적용함으로써 경영전략적 시사점을 제공가능하다 사료된다.

• 한국항공우주학회지
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• 제30권6호
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• pp.101-106
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• 2002

BTT 조종방식을 갖는 유도탄내에서 2축 김발형 탐색기가 그 기준축에 장착된 레이트 자이로를 사용하여 안정화되어질 때, BTT조종방식에 의한 Rolling에 따른 시선의 변화가 실제 시선변화량과 더불어 탐색기에서 측정되어진다. 이러한 동체운동 상관효과는 BTT 유도탄의 호밍루프내에서 주로 의사표적기동과 레이트자이로 정렬오차가 관계되어 있다는 것을 알 수 있었다. 본 논문에서는 이러한 각각의 동체운동 상관을 포함하는 탐색기모델과 간단한 선형 BTT 호밍루프 모델을 구축하였다. 그리고 이 모델에서 호밍루프 안정성에 대한 상관효과를 분석하였으며, 안정성 회복을 위한 선형 보상기를 제시한다.

• KDI Journal of Economic Policy
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• 제46권1호
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• pp.21-51
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• 2024

Since the Global Financial Crisis of 2008-2009, the importance of nonbank financial institutions in macroprudential management has increased significantly. Consequently, major countries and international financial institutions have been actively discussing and implementing macroprudential supervision and regulation for non-bank financial institutions (NBFI). In this context, this paper analyzes the systemic risk of both banks and non-bank sectors (securities firms and insurance companies) in South Korea over different time periods. Using the widely recognized ΔCoVaR methodology for measuring systemic risk, the analysis reveals that systemic risk increased substantially across all three sectors (banks, securities firms, and insurance companies) during the Global Financial Crisis, the European Sovereign Debt Crisis, and the COVID-19 pandemic. Although the banking sector exhibited relatively high systemic risk compared to the securities and insurance sectors, the relative differences in systemic risk varied across the different crisis periods. Notably, during the margin call crisis in March of 2020, the gap in systemic risk between the banking and securities sectors decreased significantly compared to that during both the Global Financial Crisis and the European Sovereign Debt Crisis, indicating that securities firms had a more substantial impact on risk in the overall financial system during this period. Furthermore, I analyze the impact of the issuance of equity-linked securities (ELS) by financial institutions on systemic risk, as measured by ΔCoVaR, finding that an increase in the outstanding balance of ELS issuance by financial institutions had an impact on increasing ΔCoVaR during the three crisis periods. These findings underscore the growing importance of non-bank financial institutions in relation to South Korea's macroprudential management and supervision. To address this evolving landscape, enhanced monitoring and regulatory measures focusing on non-bank systemic risk are essential components of maintaining financial stability in the country.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.325-334
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• 2021

The study investigates the effectiveness of the macroprudential policy on credit growth in Vietnam. The authors use the logic of the transmission mechanism of macroprudential policy on credit growth. Research variables include economic growth, inflation, interest rate, and quarterly bank-level data from 28 commercial banks in Vietnam during 2011-2018. The results reveal that: (i) GDP growth had a positive impact on credit growth of small banks but had no impact on large banks, (ii) Domestic Systemically Important Banks (D-SIBs) and small banks respond differently to macroprudential measures of imposing different credit growth targets for different bank groups, (iii) Restrictions on foreign currency loans are found to be effective in curbing credit growth for the full sample and small banks, (iv) Inflation and economic cycle have significantly impacted credit growth at bank-level in Vietnam and (v) Interestingly, a significant positive relationship between interest rates and credit growth is found for the full sample and D-SIBs in Vietnam. The findings suggest that a stable macroeconomic environment should be good conditions for financial stability, and monetary authority should pay more attention to small banks' behaviors than D-SIBs behavior, toward such "administration" tools since small banks tend to prefer "breaking the rules" to make profits.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.59-72
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• 2020

This paper examines whether lending structure can lower credit risk by employing econometric techniques of panel data for the Vietnamese banking system at the bank level used by economic sectors from 2011 to 2016. New light is being shed on assessing the impact of each industry's debt outstanding on credit risk. Adopting findings from previous studies, we assess credit risk from two different sources, including loan loss provision and non-performing loan. Moreover, we also focus on observing lending structure in many different aspects, from concentrative levels to the short-term and long-term stability levels of lending structure. The Generalized Method of Moments (GMM) estimator was applied to analyze the relationship between concentration and banking risks. In general, the results show that lending concentration may decrease credit risk. It is interesting to observe that the Vietnamese commercial bank lending portfolios have, on average, higher levels of diversity across different sectors. In particular, the increase in hotel and restaurant lending contributes to decrease credit risk while the lending portfolios of banks in agriculture, electricity, gas and water increase credit risk. This study suggests the need for further analysis and research about portfolio risks in lending activities for maintaining efficiency and stability in the commercial banking system.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.137-151
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• 2020

Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.