• Title/Summary/Keyword: 자기자본비율

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Multi-objective Genetic Algorism Model for Determining an Optimal Capital Structure of Privately-Financed Infrastructure Projects (민간투자사업의 최적 자본구조 결정을 위한 다목적 유전자 알고리즘 모델에 관한 연구)

  • Yun, Sungmin;Han, Seung Heon;Kim, Du Yon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1D
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    • pp.107-117
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    • 2008
  • Private financing is playing an increasing role in public infrastructure construction projects worldwide. However, private investors/operators are exposed to the financial risk of low profitability due to the inaccurate estimation of facility demand, operation income, maintenance costs, etc. From the operator's perspective, a sound and thorough financial feasibility study is required to establish the appropriate capital structure of a project. Operators tend to reduce the equity amount to minimize the level of risk exposure, while creditors persist to raise it, in an attempt to secure a sufficient level of financial involvement from the operators. Therefore, it is important for creditors and operators to reach an agreement for a balanced capital structure that synthetically considers both profitability and repayment capacity. This paper presents an optimal capital structure model for successful private infrastructure investment. This model finds the optimized point where the profitability is balanced with the repayment capacity, with the use of the concept of utility function and multi-objective GA (Generic Algorithm)-based optimization. A case study is presented to show the validity of the model and its verification. The research conclusions provide a proper capital structure for privately-financed infrastructure projects through a proposed multi-objective model.

Determinants of Export Manufacturing Firm Efficiency: Focusing on R&D Intensity in a KOSDAQ-listed Firm (수출제조기업의 효율성 결정요인에 관한 분석: 코스닥 기업의 연구개발집약도를 중심으로)

  • Hwang, Kyung-Yun;Koo, Jong-Soon
    • International Area Studies Review
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    • v.20 no.2
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    • pp.63-83
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    • 2016
  • This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

Interaction Analysis between Construction Business Indicators and Business Performance Indicators of Specialty Contractors Depending on Operation Types (경영형태에 따른 전문건설업체의 건설경기지표와 경영성과지표의 상관성 분석)

  • Kim, Nam-Sik;Lee, Dong Wook
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.1
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    • pp.193-202
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    • 2015
  • This study suggests strategies business strategies of specialty contractors by interaction analysis between business performance indicators and construction business indicators depending on operation types. To analyzing this research, a database was analyze for construction orders and business performance indicators for specialty contractors with KRW 7 billion from 1997 to 2010 yr. For organized management oriented specialty contractors, the amount of construction orders is directly affecting the corporate stability and therefore decreasing orders can negatively affect the owner's equity ratio. However, considering that the turnover ratio of total liabilities and net worth is affecting the owner's equity, an asset management plan needs to be established in a way to increase sales to the owner's equity secured with increase in construction orders. For a single leader oriented specialty contractors, the owner's equity ratio is also significantly affected by change in the amount of construction orders and some countermeasure is required. But, as liability ratio is affecting the amount of construction orders, some sort of countermeasures to decrease liability ratio is required.

An Empirical Study on the Estimation of Adequate Debt ration in Korean Shipping Industry: Focused on Water Transport (한국 해운산업의 적정부채비율 추정을 위한 실증연구: 수상운송업을 중심으로)

  • Pai, Hoo-Seok
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.69-75
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    • 2015
  • The concrete purpose of this study is to suggest actually a debt ratio to optimize the capital structure providing a kind of approach to estimate the proper debt ratio with an analytical model and empirical data in Korean shipping industry. The mathematical and analytical model is started from the first equation about ROE, return of net operating income on equity, with an independent variable, debt ratio. It is constructed with several parameters, ROS(return of operating income on sales), TAT(total assets turnover), and NFCL(net finance cost to liabilities). There could not be a certain relationship between debt ratio and ROS or TAT, while some correlation or causality between debt ratio and NFCL. In other words, most of firms with high debt ratio is likely to burden higher finance cost than others with low one. In this case, there is a linearity relationship between debt ratio and NFCL, so then the second equation considering this relation could be included within the analytical approach of this paper. To be short, if the criteria of adequate debt ratio has to be defined as some level of debt ratio to optimize ROE, the ROE could be illustrated as a quadratic equation to debt ratio from two equations. Next, this research estimated those parameters' numbers through the single regression method with data over 12 years of Korean shipping industry, and identified empirically the fact that optimal debt ratio would be approximately 400%. To conclude, if that industry's sales and operating incomes are stable, the debt ratio could be accepted until twice of 200% had forced in order to guarantee its financial safety in past time.

재무정책과 기업부실예측

  • Park, Jeong-Yun
    • The Korean Journal of Financial Studies
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    • v.6 no.1
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    • pp.93-117
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    • 2000
  • 본 논문의 목적은 1991년부터 1996년까지 부실이 된 상장기업 41개사와 이에 대응하는 118개 건전기업의 표본을 가지고 주요 재무정책변수를 이용하여 로짓분석에 의한 기업부실예측모형을 구축하는데 있다. 본 연구에서는 기존연구와는 달리 이론적으로 타당하고 재무경영자의 관심대상인 투자정책변수, 자본조달정책변수 및 배당정책변수를 가장 잘 반영한다고 판단되는 12개의 재무비율을 사전적으로 선정하였다. 이들 12개의 재무비율에 대해 부실기업과 건전기업을 가장 잘 판별할 수 있는 재무비율을 선정하기 위하여 프로파일 분석과 두 표본 t검정을 하였다. 그 결과 투자정책, 자본조달정책, 그리고 배당정책을 대표하는 변수로 자기자본순이익률, 총자본부채비율 및 배당율이 각각 채택되었다. 그리고 현금흐름변수를 추가하였다. 이 네 변수를 이용하여 로짓분석을 실행하였다. 먼저 부실 1년전부터 부실 5년전까지 각 연도별로 부실예측모형을 추정하였다. 부실 1년전의 추정모형에 의하면 총자본부채비율을 제외한 모든 계수의 부호는 (-)로 모두 기대했던 대로 나타났다. 전체적으로 볼 때 부실 4-5년 전에는 자기자본순이익률과 총자본부채비율이 기업부실에 유의한 영향을 주나 부실전 3년간은 현금흐름과 배당률의 크기가 부실에 영향을 주는 것으로 나타났다. 본 연구는 부실예측모형을 기업의 재무정책적인 관점에서 추정하였다는 데 그 의의가 있다고 할 수 있다.

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Determinants of Productivity Change in Export Manufacturing Firms : Focusing on Innovation (수출제조기업의 생산성변화에 영향을 미치는 요인 분석 : 혁신활동을 중심으로)

  • Hwang, Kyung-Yun;Koo, Jong-Soon;Hwang, Jung-Hyun
    • Korea Trade Review
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    • v.41 no.4
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    • pp.61-90
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    • 2016
  • This study aims to identify the sources of productivity change in export manufacturing firms. After estimating the Malmquist productivity index, a panel regression was used to calculate the source of productivity change. Upon conducting a literature review of this field, six variables were selected as explanatory variables. The results of an analysis of 355 export manufacturing firms operating from 2009 through 2015 are as follows: First, both innovation activity and total assets had a positive impact on productivity change. However, employment cost intensity, equity ratio, and current ratio had a negative impact on productivity change in export manufacturing firms. Second, innovation activity and intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and equity ratio had a negative impact on productivity change in large export manufacturing firms. Third, innovation activity had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in small and medium export manufacturing firms. Fourth, intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and current ratio had a negative impact on productivity change in export manufacturing firms listed on the Korea Composite Stock Price Index. Fifth, innovation activity and total assets had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in manufacturing firms listed on the Korean Securities Dealers Automated Quotations. The managerial implications of this study are also discussed.

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Survival analysis on the business types of small business using Cox's proportional hazard regression model (콕스 비례위험 모형을 이용한 중소기업의 업종별 생존율 및 생존요인 분석)

  • Park, Jin-Kyung;Oh, Kwang-Ho;Kim, Min-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.2
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    • pp.257-269
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    • 2012
  • Global crisis expedites the change in the environment of industry and puts small size enterprises in danger of mass bankruptcy. Because of this, domestic small size enterprises is an urgent need of restructuring. Based on the small business data registered in the Credit Guarantee Fund, we estimated the survival probability in the context of the survival analysis. We also analyzed the survival time which are distinguished depending on the types of business in the small business. Financial variables were also conducted using COX regression analysis of small businesses by types of business. In terms of types of business wholesale and retail trade industry and services were relatively high in the survival probability than light, heavy, and the construction industries. Especially the construction industry showed the lowest survival probability. In addition, we found that construction industry, the bigger BIS (bank of international settlements capital ratio) and current ratio are, the smaller default-rate is. But the bigger borrowing bond is, the bigger default-rate is. In the light industry, the bigger BIS and ROA (return on assets) are, the smaller a default-rate is. In the wholesale and retail trade industry, the bigger bis and current ratio are, the smaller a default-rate is. In the heavy industry, the bigger BIS, ROA, current ratio are, the smaller default-rate is. Finally, in the services industry, the bigger current ratio is, the smaller a default-rate is.

대기업(大企業) 부도(不渡)와 은행주가(銀行株價) 반응(反應)에 관한 실증적(實證的) 연구(硏究)

  • Lee, Myeong-Cheol;Park, Ju-Cheol
    • The Korean Journal of Financial Management
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    • v.15 no.2
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    • pp.211-233
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    • 1998
  • 본 연구에서는 대기업의 부도가 은행주가수익률에 미친 영향을 분석하였다. 분석대상사건은 1997년의 한보철강 부도, 삼미그룹 법정관리신청, 기아자동차 부도유예협약적용을 택하였다. 분석결과는 다음과 같다. 첫째, 사건기간의 시장모형(OLS Market Model)에 의한 평균초과수익률과 누적평균초과수익률이 은행전체와 대출은행 그룹에 대하여 유의한 (-)의 반응을 보여 신정보가설이 지지되었다. 둘째, 대출은행그룹의 평균초과수익률과 누적평균초과수익률이 기타은행그룹에 대하여 유의한 (-)의 차이를 나타내었다. 그러나 기타은행의 경우에도 사건일을 전후하여 평균초과수익률이 유의한 (-)의 반응을 보여 일부 투자자감염효과가 나타났고, 대출은행의 누적초과수익률이 대출지분비율(=부도 대기업에의 대출금액/자기자본)과 유의한 (-)의 선형관계를 보이지 않아 주가반응 정도가 대출정도를 반영한다는 합리적가격결정가설은 기각되었다. 셋째, 대출은행의 누적초과수익률과 자기자본비율(=자기자본/총자산)이 사건기간 전체에 대하여 유의한 (+)의 선형관계로 나타나지 않아 재무건전성이 높은 은행이 거래기업의 부도와 같은 부정적 정보에 더 저항적일 것이라는 자본적합성가설은 기각되었다. 이상의 결과는 신정보가설을 제외하고는 미국 등의 선행연구와 다른 것이며 우리나라의 경우 대기업 부도에 따른 은행주가반응에 관한 한 준강형 효율적 시장가설을 지지하는 증거가 부족하다는 것을 시사한다.

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The Study on the Estimation of Optimal Debt Ratio in Korean Agricultural Corporations (한국 농업법인의 적정부채비율 추정을 위한 실증연구)

  • Kim, Woo-Seok;Seo, Beom;Im, In-Seob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.135-142
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    • 2017
  • This study employs an analytical mathematical model to estimate the optimal debt ratio of Korean agricultural corporations, more sensitive to the government debt ratio policy compared to other industries, and the estimation of the optimal debt ratio based on objective data. The analytical model utilizes the equation for ROE, with the debt ratio as an independent variable, and related parameters include ROS, TAT, and NFCL. Regarding the NFCL, the optimal debt ratio standard is defined as the debt ratio that maximizes the ROE by analytical procedures such as adding an equation concerning the debt ratio and a linearity relationship to the analytical model, and from these equations, a quadratic equation with the debt ratio as an independent variable describes the ROE. This methodemploys fourteen years of corporate data. Results show that 138% of debt ratio is the optimal debt ratio to increase the ROE of the corporations, which implies that the existing debt ratio of Korean agricultural corporations is higher than optimal. Consequently, it is required for authorities to change future debt ratio policies in view that the purpose of debt ratio management is to maintain safety and increase profitability.Management should emphasize characteristics of the specific industry rather than standardized judgements based on numerical indexes.

International Comparison of Retail Banking in Korea, U.K, and Spain - Based on Basel II and rocyclicality - (한국, 영국, 스페인의 소매금융 국제비교 - 바젤 II와 경기순응성을 중심으로 -)

  • Cheong, Kiwoong
    • International Area Studies Review
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    • v.12 no.3
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    • pp.217-239
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    • 2008
  • The purpose of this paper examines the way the potential for increased procyclicality may arise in Korea according to the introduction of Basel II based on the empirical results of U.K. and Spain. Because of the limited retail banking data, the correlations between risk-weighted assets corresponding to the denominator of the capital ratio and procyclicality, and capital ratio and the procyclicality are analyzed in Korea. As a result, there is a high possibility that the procyclicality may occur in Korea. However, there are limitations in judging the existence of the procyclicality for the capital in Korea only based on those correlations. In the future, in case more of retail banking data are accumulated, the procyclicality in Korea should be examined based on the systematic model like the cases in England and Spain. Lastly, the policy implications are derived based on the calculation process of the regulatory capital(Pillar I), the process of the Financial Authorities(Pillar II), and the market discipline(Pillar III).