• The tire
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• s.47
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• pp.4-4
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• 1973

김영준사장은 작년 6월 동신화학 사장으로 취임한 직후부터 최근까지 6차례에 걸쳐 미국시장을 찾아 한국「타이어」수출을 위한 획기적인 성과를 안고 돌아왔다. 농림부장관을 퇴임한 후 부실기업인 흥한화섬을 맡아 일약 성장기업으로 키워놓고 다시 부실화된 동신화학을 재건중에 있는 그는 취임 11개월만인 지난 5월부터는 흑자기업으로 일으켜 세웠다. 해외시장 개척부진과 출혈수출로 작년도 「타이어」업계의 수출은 5백만달러선에 머무르고 있는데 김사장은 연 2천만달러의 장기계약을 미국의 「시어스ㆍ로박」과 체결함으로써 「타이어」대미수출의 전기를 마련하고 귀국 했다.<편집자주>

• 발명특허
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• v.7 no.8 s.78
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• pp.13-18
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• 1982

특허청은 공업소유권제도의 국제화 추세에 따라 특허협력 조약(PCT)에 가입하는 것을 전제로 특허출원절차의 국제협력 및 기술정보의 확산을 통한 국내기술개발을 촉진하기 위하여 필요한 국내적조치로써 특허법중 개정법률안을 다음과 같이 마련하였다. 또한 부실특허권의 행사로부터 선의의 피해자를 보호하기 위하여 특허권효력의 일시정지에 관한 규정도 개정법안에 신설하고 있다.

• 월간 기계설비
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• s.32
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• pp.34-35
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• 1993

건설부가 국회에 보고한 $\ulcorner$`93주요업무계획$\lrcorner$에 따르면 올해안에 건설업법개정을 추진 건설 기술개발 및 부실공사방지를 위해 현행 건설공사 표준품셈제도를 전면 재검토하고 부실시공 건설업체의 경우 면허취소와 함께 회사 대표자도 처벌하도록 제재를 강화하는 한편 특수건설업면허체제를 개편하고 하도급계열화를 확대해 중소규모 전문건설업의 육성기반을 다지기로 했다.

• KDI Journal of Economic Policy
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• v.32 no.1
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• pp.1-26
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• 2010

Securitization was meant to disperse credit risk to those who were better able to bear it. In practice, securitization appears to have concentrated the risks in the financial intermediary sector itself. This paper outlines an accounting framework for the financial system for assessing the impact of securitization on financial stability. If securitization leads to the lengthening of intermediation chains, then risks become concentrated in the intermediary sector with damaging consequences for financial stability. Covered bonds are one form of securitization that do not fall foul of this principle. I discuss the role of countercyclial capital requirements and the Spanish-style statistical provisioning in mitigating the harmful effects of lengthening intermediation chains. For Korea, the stability of funding emerges as a key consideration. Covered bonds may play a role in stabilizing the funding arrangement for banks.

• KDI Journal of Economic Policy
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• v.26 no.2
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• pp.179-208
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• 2004

With the outbreak of the financial crisis in mid-1997, the Korean government has removed a majority of M&A-related regulations in order to facilitate M&A transactions. This was based upon the belief that M&As are one of the most efficient ways to restructure financially distressed firms compared to other government-driven restructuring programs. In this paper, we try to empirically assess the role of M&A in restructuring distressed firms in Korea following the financial crisis. In doing so, three empirical analyses have been conducted. The first analysis attempts to identify financial characteristics of the insolvent M&A targets. The second exercise directly tests the change in performance of insolvent M&A targets before and after such M&A transactions. The third analysis is a more general assessment on the role of M&A transactions to determine if being involved in an M&A transaction (regardless of its motivate) has reduced the probability of becoming insolvent in the future. Overall, we find some evidence supporting that M&A activities after the financial crisis have played a positive role in restructuring financially distressed firms in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.695-698
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• 2014

본 논문은 AHP의사결정 기법의 계층적 분석과 자산 및 부실채권에 대한 예측 평가르 수행하는 프레임워크를 설계하고 위험탐지 분석 시나리오 등을 통해 상황변화에 따른 모니터링에서 수집된 자료를 수집, 분석할 수 있는 포렌식 준비도 모형을 제안한다. 제안하는 시스템은 기업에서 운영하고 있는 기존의 레거시 시스템과 연계하여 자산 및 부실예측평가 항목을 다양한 속성에 따라 그룹화하고 분석을 수행함으로써 기업의 자산과 리스크를 보다 효율적이고 안정적으로 관리할 수 있으며, 부실 자산에 대한 관리와 회수를 통해 기업 경쟁력 및 수익률을 향상시킬 수 있다. 또한 포렌식 준비도와 분석 모니터링을 활용하여 민사 및 형사 소송 등의 기업 간 분쟁에 대하여 수집된 증거자료를 제공할 수 있으며, 민원발생과 기타 사고를 예방하고 처리비용을 줄일 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.63-69
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• 2010

Ensemble is one of widely used methods for improving the performance of classification and prediction models. Two popular ensemble methods, Bagging and Boosting, have been applied with great success to various machine learning problems using mostly decision trees as base classifiers. This paper performs an empirical comparison of Boosted neural networks and traditional neural networks on bankruptcy prediction tasks. Experimental results on Korean firms indicated that the boosted neural networks showed the improved performance over traditional neural networks.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.119-132
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• 2014

This study analyzed the failure prediction model of the firms listed on the KOSDAQ by considering whether there are embezzlement, malpractice and the largest shareholder changes or not. This study composed a total of 166 firms by using two-paired sampling method. For sample of failed firm, 83 manufacturing firms which delisted on KOSDAQ market for 4 years from 2009 to 2012 are selected. For sample of normal firm, 83 firms (with same item or same business as failed firm) that are listed on KOSDAQ market and perform normal business activities during the same period (from 2009 to 2012) are selected. This study selected 80 financial ratios for 5 years immediately preceding from delisting of sample firm above and conducted T-test to derive 19 of them which emerged for five consecutive years among significant variables and used forward selection to estimate logistic regression model. While the precedent studies only analyzed the data of three years immediately preceding the delisting, this study analyzes data of five years immediately preceding the delisting. This study is distinct from existing previous studies that it researches which significant financial characteristic influences the insolvency from the initial phase of insolvent firm with time lag and it also empirically analyzes the usefulness of data by building a firm's fail prediction model which considered embezzlement/malpractice and the largest shareholder changes as dummy variable(non-financial characteristics). The accuracy of classification of the prediction model with dummy variable appeared 95.2% in year T-1, 88.0% in year T-2, 81.3% in year T-3, 79.5% in year T-4, and 74.7% in year T-5. It increased as year of delisting approaches and showed generally higher the accuracy of classification than the results of existing previous studies. This study expects to reduce the damage of not only the firm but also investors, financial institutions and other stakeholders by finding the firm with high potential to fail in advance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.1
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• pp.25-31
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• 2017

The objective of this study is to find the failure factors of venture companies. We analyze 210 troubled venture companies, all of which have been under guarantee from the Korea Technology Finance Corporation over the last three years. Methods of analysis for failure factors are as follows. First, we categorize the failure factors into the four different types based on growth and profitability indicators in the financial statements of targeted venture companies. Then we analyzed the failure factors of the subject companies based on the troubled guarantee reports made by the Korea Technology Finance Corporation. If a venture company under its guarantee program falls into insolvency, the Korea Technology Finance Corporation make the troubled guarantee report to find out the failure factors and evaluate the recovery potentials. We identify 374 failure factors of venture companies through the analysis. The most prominent among them are deteriorating of business environments (79 factors) and decreasing or withdrawing orders from major suppliers (54 factors) due to bankruptcies or change in business plans. They are followed by slowing collection of accounts receivable (31 factors), dropping or frozen product price (24 factors) due to intensifying competition and escalating pressures from major suppliers, rising raw material costs both at home and abroad (21 factors). In addition, the nuclear power plant disaster in Japan, shut-down of the Kaesong Industrial Complex and subsequent lawsuits, delay in technology development projects, high cost-low efficiency management structure, etc., are also revealed as new factors causing trouble for venture companies.

• The Korean Journal of Financial Management
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• v.16 no.2
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• pp.53-70
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• 1999

본 논문은 기업의 자본구조가 결정되어 있고 경영자에게 특정한 형태의 보상이 주어진 상태에서 경영자의 생산량 결정에 대하여 분석하였다. 생산물 시장이 쿠르노 경쟁상태에 있음을 가정할 때 스톡옵션과 상여금을 경영자 보상으로 갖는 경우 주식 가치 극대화를 위한 생산량과 다른 생산량을 선택하게 됨을 보여 주고 있다. 스톡옵션의 경우에는 옵션행사의 한계 경제상태와 기업 부실화의 한계 경제상태가 일치하지 않기 때문에 경영자는 주식 가치 극대화를 위한 생산량과는 다른 선택을 하게 되며 상여금의 경우에도 상여금 지급의 한계 경제상태에 따라서 주식 가치 극대화를 위한 생산량과는 다른 선택을 하게 된다. 또한 스톡옵션 행사가격과 상여금 지급의 목표이익이 증가하면 경영자의 최적 생산량은 증가한다. 반면에 스톡옵션 행사가격과 상여금 지급의 목표이익이 증가하면 경쟁기업 경영자의 최적 생산량은 감소한다. 그러나 상여금의 경우에는 경영자가 주주의 이해와 일치하는 의사결정을 내리도록 하여 주는 목표이익이 존재하지만 스톡옵션의 경우에는 이와 같은 보상체계가 존재하지 않는다.