• 융합경영연구
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• 제9권1호
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• pp.25-40
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• 2021

Purpose: The forecasting is the likelihood scientifically proved judgment about the prospects, the possible conditions of this or that phenomenon in the future and (or) about the alternative ways and the means of their realization. To adapt the instruments of budgeting for the analysis cash flow of company. Research design, data and methodology: The creates the budget of cash flow were carried out on the basis of data of the report for the 2017 of corporations POSCO and in the first half of the 2018 Daewoo Shipbuilding & Marine Engineering of South Korea. Results: The simultaneous use of budgeting techniques and the simple financial analysis allows to systematize the transactions, to identify the main problem areas in the movement cash flows. Therefore, working capital analysis is to determine the limits of their fluctuations in view of the changes in the business processes. Conclusions: In the pedagogical context solved the features of budgeting in the part evaluation current assets, its financing, its elements: the cash, the debtor. In the process of budgeting of cash flow, in credit budget, in financial budget we can see the main indicators: the current assets, the functioning capital, the optimum number of debtors, the optimum amount of cash and another.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.323-336
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• 2021

The present study aims to examine the impact of real earnings management on the future value of the firm and its persistence. The study also tests suspect firm effects on the relationship between real earnings management and the future value of the firm. The sample of the present study consists of all listed non-financial firms from the year 2011 to 2018. Real earnings management has been measured in three alternative ways viz., abnormal operating cash flows, abnormal discretionary spending, and abnormal production cost. Tobin's Q is used as a measure of firm value. The interaction term of real earnings management and Tobin's Q is used to test firm value persistence. The results of the analysis disclose that out of three measures of real earnings management, abnormal reduction in discretionary spending only has a significant negative impact on the persistence of firm value. Moreover, the suspect firm analysis reveals that when the underlying motive of real earnings management is to meet zero earnings, both abnormal increases in operating cash flows and abnormal reduction in discretionary spending have a significant negative impact on firm value persistence.

• 산업경영시스템학회지
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• 제12권19호
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• pp.67-72
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• 1989

This paper concerns with the decision maker has the job of forecasting capital investments and operating expenses to aid the decision making in choosing and evaluating present annual and future alternatives. The cost estimating function eventually analysis, evaluates and choose the alternatives. And also, the marginal analysis performed originally from a preliminary design of some sort, and eventually plans are made to investigate investment possibilities. This paper provide the discounted net cash flows and the present, annual and future worth methods. In despite of any choice for an analytical methods, there remains the problems of predicting and assessments certain future events. Therefore, these models dealing with the optimal plant sizing, equipments replacement, and lease or buy will be discussed.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.563-572
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• 2007

Transportation infrastructure is critical to economic growth of a country such as China. Careful evaluation of investments in traffic infrastructure projects is therefore pertinent. As traditional evaluation methods do not consider the uncertainty of future cash flows and mobility during project execution, the real option approach is gradually gaining recognition in the context of valuing construction and infrastructure projects. However, many of the cases only evaluate individual options separately although multiple options often exist in a typical large infrastructure project. Using a highway project in China as a case study, this paper first evaluates a deferment option and a growth option embedded in the project. Subsequently, the values are combined using the fuzzy analytical hierarchy process. It is found that the combined value is less than the sum of the two option values. This finding is consistent with the theoretical observations given in past real option literature despite the use of a different approach.

• 대한교통학회지
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• 제26권6호
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• pp.17-27
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• 2008

기업의 물류활동은 화물의 기종점 정보와 더불어 출발지와 도착지간 수배송특성, 업종간 거래관계, 가격흐름, 경로 등 다양한 공급사슬관점에서 설명되어야 한다. 그동안 공공부문의 물류관련 연구들은 물류현황조사 자료로부터 지역간 기종점 통행량에 기초하여 물류시설을 포함한 국가의 사회간접자본 투자정책에 주로 활용된 경향이 있었다. 또한, 민간부문의 유통경로 관련 연구는 주로 상적인 유통경로에 한정되어 보다 종합적인 공급사슬관리 측면에서 기업의 물적 유통경로선택에 대한 이해가 부족하였다. 본 연구에서는 2001년 전국물류현황조사중 기업의 물류실태조사에서 수행된 600개의 표본자료에 기초하여 기업들의 유통경로 선택의 특성을 분석하였다. 사용된 자료들의 설문조사방식은 다양한 유통노드들이 제시되고, 기업들이 상위 매출액이 높은 품목들이 다양한 유통경로 상에서 어떻게 노드들을 이용하는지 조사되었고, 이를 공장순회형, 물류센터 중심형, 도매자 중심형, 소비자 중심형 등 4개로 유형화 하였다. 본 연구는 이들 4개의 유통경로들의 선택에 미치는 영향을 사업체 현황, 수배송현황, 취급화물 품목 등의 다양한 변수을 고려하여 미치는 영향을 분석하였다. 본 연구는 우리나라에서 물적유통경로연구의 시발점으로서 유통경로조사가 가지는 의의와 2001년 조사자료를 이용함에 따른 발견점보다는 한계점과 개선방향위주로 진행하였다.

• 산업경영시스템학회지
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• 제22권51호
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• pp.199-210
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• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• 무역상무연구
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• 제46권
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• pp.265-313
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• 2010

Kyoto Protocol is an international convention on concrete performance program for UNFCCC(United Nations Framework Convention on Climate Change), which regulate and prevent to global warming and officially came into effect on February 16, 2005. Kyoto flexible mechanisms, the agreed environmental system in March 1997 in the Third Conference of Parties in UNFCCC General Assembly, Emission Trading System(ETS), Clean Development Mechanism(CDM) and Joint Implementation(JI), are key policies related to environment. In advanced countries, greenhouse gas emissions should be reduced average 5.2% level compared to 1990 in total emissions during 2008-2012. World leading carbon market finished the trial on the EU ETS I greenhouse gas emissions trading system, EU ETS II is operated regularly after 2008. World Bank leads to make 'Prototype Carbon Fund(PCF)' in April 2004, which is the world first carbon fund and a representative public carbon fund type, World Bank operate various funds including present PCF. Thus, I would like to propose as follows in relation to this study: First, in the validity analysis of carbon funds, it would be needed to analyze the Emission Reduction Cost Efficiency(ERCE) of carbon. The ERCE is a break-even value which brings the Net Present Value(NPV) to zero. NPV approach is used among projects and it enables potential projects to be compared and evaluated the ERCE on the basis of the net present value of net future cash flows. Therefore, according to results of analysis, carbon funds should be developed and invested. Second, it would be necessary to allow of issuing bonds together with carbon funds, carbon finance etc. Third, carbon funds, it would be reasonable to have a relatively enough maturity in project and as a financial derivatives in the international financial markets, it is needed various types of transactions. Fourth, it would be needed to standardize the carbon emissions trading for more efficiently. Fifth, it would be necessary to establish and invest in various kinds of domestic and overseas global carbon funds, including governments, privates, governments and privates sectors. And it is also needed to establish the medium and long term plans for carbon funds. Sixth, it would be needed to foster the advanced trade mechanisms for carbon funds in the most effective ways. Finally, carbon funds should be used in harmony with international societies to reduce global warming as the social responsible investing funds and it should be contribute to sustainable development. In addition, it would seem that carbon funds should be studied on establishing the contributable standard of sustainable development in the future assignment.

• 지능정보연구
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• 제26권2호
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• pp.105-129
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• 2020

본 연구는 부도위험 예측을 위해 K-IFRS가 본격적으로 적용된 2012년부터 2018년까지의 기업데이터를 이용한다. 부도위험의 학습을 위해, 기존의 대부분 선행연구들이 부도발생 여부를 기준으로 사용했던 것과 다르게, 본 연구에서는 머튼 모형을 토대로 각 기업의 시가총액과 주가 변동성을 이용하여 부도위험을 산정했으며, 이를 통해 기존 방법론의 한계로 지적되어오던 부도사건 희소성에 따른 데이터 불균형 문제와 정상기업 내에서 존재하는 부도위험 차이 반영 문제를 해소할 수 있도록 하였다. 또한, 시장의 평가가 반영된 시가총액 및 주가 변동성을 기반으로 부도위험을 도출하되, 부도위험과 매칭될 입력데이터로는 비상장 기업에서 활용될 수 있는 기업 정보만을 활용하여 학습을 수행함으로써, 포스트 팬데믹 시대에서 주가 정보가 존재하지 않는 비상장 기업에게도 시장의 판단을 모사하여 부도위험을 적절하게 도출할 수 있도록 하였다. 기업의 부도위험 정보가 시장에서 매우 광범위하게 활용되고 있고, 부도위험 차이에 대한 민감도가 높다는 점에서 부도위험 산출 시 안정적이고 신뢰성 높은 평가방법론이 요구된다. 최근 머신러닝을 활용하여 기업의 부도위험을 예측하는 연구가 활발하게 이루어지고 있으나, 대부분 단일 모델을 기반으로 예측을 수행한다는 점에서 필연적인 모델 편향 문제가 존재하고, 이는 실무에서 활용하기 어려운 요인으로 작용하고 있다. 이에, 본 연구에서는 다양한 머신러닝 모델을 서브모델로 하는 스태킹 앙상블 기법을 활용하여 개별 모델이 갖는 편향을 경감시킬 수 있도록 하였다. 이를 통해 부도위험과 다양한 기업정보들 간의 복잡한 비선형적 관계들을 포착할 수 있으며, 산출에 소요되는 시간이 적다는 머신러닝 기반 부도위험 예측모델의 장점을 극대화할 수 있다. 본 연구가 기존 머신러닝 기반 모델의 한계를 극복 및 개선함으로써 실무에서의 활용도를 높일 수 있는 자료로 활용되기를 바라며, 머신러닝 기반 부도위험 예측 모형의 도입 기준 정립 및 정책적 활용에도 기여할 수 있기를 희망한다.