• Title/Summary/Keyword: 무수익여신

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Analysis of influencing on Inefficiencies of Korean Banking Industry using Weighted Russell Directional Distance Model (가중평균 러셀(Russell) 방향거리함수모형을 이용한 은행산업의 비효율성 분석)

  • Yang, Dong-Hyun;Chang, Young-Jae
    • 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.

Inefficiencies and Productivity Change of Domestic Banks including Non-performing Loan with Normal Output after Financial Crisis (금융위기 이후 부실채권을 고려한 국내 은행의 비효율성과 생산성 변화)

  • Chang, Young-Jae;Yang, Dong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.91-102
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    • 2020
  • This study constructed production frontiers of inputs and outputs in a sequential manner, measured inefficiencies by applying a non-radial sequential weighted Russell directional distance function to these frontiers, and analyzed Luenberg productivity indices and the contribution of each of input and output factor based on these distances. The results are as follows. First, the productivity of banks increased due to technical changes after the global financial crisis. Second, productivity growth decreased between 2009 and 2014 due to technical changes after the recession, as previous studies have shown that technology progressed before the global financial crisis but then largely decreased or remained the same thereafter. After 2014, the productivity of banks improved. This result may be due to both technology improvement after 10 years of stagnation and reduction of inputs and non-performing loans. Third, the 3.6% annual of productivity growth for 10 years was comprised of 1.77% household loans, 0.67% corporate loans, 0.98% manpower, 1.18% non-performing loans, -0.5% total deposits, and -1.25% securities. Finally, this study has limitations since it could not control risks such as capital structure and interest volatility.

The Evaluation of Structural Reforms in the Korean Banking Industry (한국 은행산업 구조조정의 성과에 관한 연구)

  • Lee, Seok-Weon
    • The Korean Journal of Financial Management
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    • v.18 no.1
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    • pp.83-106
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    • 2001
  • 본 연구에서는 1997년 말 외환위기 이후 $1998\sim1999$년에 걸쳐 행하여진 한국 은행산업 구조 조정의 성과를 실증적으로 분석하였다. 실증분석의 결과 위험수준이 높아 구조조정 기간에 금융감독당국으로부터 강한 경영개선 압력을 받을 가능성이 높은 은행들은 무수익여신, 부실여신비율 등 대출행위의 건전성 측면과 대출, 유가증권간의 투자비율, 그리고 유가증권 내 자산종목 간의 투자 비율 등 여러 가지 위험관련 변수들과 관련하여 측정된 건전화에 대한 동기면에서 외환위기 이전에 비하여 유의적이고 일관된 보다 높은 건전화에 대한 동기를 가지고 있었음을 볼 수 있었으며, 이러한 결과는 외환위기 이후의 은행권 구조조정 정책에 대한 어느 정도의 유효성을 보여 주는 결과로 사료된다. 또한 은행 집단별 분석에서는 구조조정 과정에서 퇴출 또는 우량은행에게 인수/합병된 부실은행들은 구조조정 이전의 기간에 그 외의 은행들 보다 위험추구에 대한 동기가 매우 강하였음을 볼 수 있었으나 이러한 위험추구의 동기가 우량은행에로의 인수/합병을 통하면서 상당히 감소하였음을 발견할 수 있었으며, 이러한 결과는 총표본에 대한 분석에서의 결과와 일관되게 외환위기 이후의 구조조정 정책에 대한 어느 정도의 유효성을 보여 주는 결과로 사료된다.

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An Analysis on the Efficiency and Productivity for Major Mutual Financing Cooperatives in Korea (우리나라 상호금융조합의 효율성 및 생산성 분석)

  • Bae, Se-Young;Kim, Hee-Chang
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.235-247
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    • 2020
  • The Mutual Financial Cooperatives(MFCs) in Korea need to make efforts to increase efficiency and productivity in order to secure stable and sustainable growth and competitiveness. Therefore, this study analyzes the efficiency and productivity of MFCs from 2012 to 2018 and suggests some implications. The methodology employed is a Dynamic-Network Slacks-Based Measure(DNSBM) Model. The findings from an empirical study include that first, on average efficiency scores of the institutions, NH(0.225) showed the highest overall efficiency, and followed by SH(0.128) and MG(0.126). After 2015, most of the MFCs' efficiency scores had risen until to 2018. Second, in divisional analysis, the inefficiency in creating the high profitability-stage had been greater than establishing-funds-stage. Third, in projection analysis of Division 2, the inefficiency of the output factors such as interest income and operating income was severe. Fourth, the results from the Malmquist Productivity Index analysis of Division 1 of the fist-stage illustrate that all three MFCs showed minus catch-up effects. Also, a soundness from reducing bad loans and expansion of loans in combination with generating various ways of creating profits besides the interest income is urgently needed for Korean MFCs.