• 제목/요약/키워드: Real Option Analysis (ROA)

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Real Option Analysis on Ship Investment Valuation

  • Kim, Chi-Yeol;Ryoo, Dong-Keun;Kim, Jae-Kwan
    • 한국항해항만학회지
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    • 제33권7호
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    • pp.469-476
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    • 2009
  • Recent collapse of shipping market right after unprecedent surge clearly demonstrates that shipping industry is extremely risky. Due to the volatile movements of the freight rates, investors tend to ask higher rate of return; higher required return reduces the total net present value of the investment project. For several decades, the Discounted Cash Flow(DCF hereafter) analysis has been the most frequently used valuation technique. However, the main problem of the DCF analysis is its assumption that the discount rate would stay the same during the project life. In other words, it usually does not address the decisions that managers have after a project has been accepted. The purpose of this study is investigate a new valuation method of investment: the Real Option Analysis(ROA hereafter) on ship investment. By replacing the existing valuation methods with the new one, the research will present a new perspective on investment with uncertainty. While uncertainty increases risk of investment and consequently discounts the value of it in the traditional feasibility analysis, in the ROA, a new valuation method which will be addressed in the research, uncertainty means some additional value of flexibility so that the tool can help investors produce more accurate decisions. Contrary to the DCF analysis, the ROA takes managerial flexibilities into account. In reality, capital budgeting and project management is typically dynamic, rather than static in nature. The ROA finds and assesses the values of managerial flexibilities or real options in the investments. The main structures of the research will be as follows: (1) overview of the ship investment project, (2) evaluation of the project by the Net Present Value analysis, (3) evaluation of the same project by the Real Option Analysis, (4) comparision of the two techniques.

R&D 프로젝트 투자 의사결정을 위한 실물옵션 의사결정나무 모델 (Real Option Decision Tree Models for R&D Project Investment)

  • 최경현;조대명;정영기
    • 산업공학
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    • 제24권4호
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    • pp.408-419
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    • 2011
  • R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

실물옵션 적용을 위한 산업별 기초자산 확률과정추정 (Identification of the Movement of Underlying Asset in Real Option Analysis: Studies on Industrial Parametric Table)

  • 이정동;강아리;정종욱
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 2004년도 제24회 동계학술대회 논문집
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    • pp.222-245
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    • 2004
  • This paper has an intention of proposing useful parametric tables of each industry group within Korea. These parametric tables can be insightful criteria for those who are dealing with the exact valuation of company, technology or industry through Real Option Analysis (ROA) since the identification of the movement of underlying asset is the very first step to be done. To give the exact estimations of parameters and the most preferred model in each industry group, we cover topics on ROA, stochastic process, and parametric estimation method like Generalized Method of Moments (GMM) and Maximum Likelihood Estimation (MLE). Additionally, specific industry groups, such as, Internet service group and mobile telecommunication service group defined independently in this paper are also examined in terms of its property of movement with the suggesting of the most fitting stochastic model.

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실물옵션 및 시나리오 분석을 활용한 해외 건설시장 진출 의사결정 지원모델의 개발 (Supporting Market Entry Decisions For Global Expansion Using Option +Scenario Planning Analysis)

  • 김병일;김두연;한승헌
    • 한국건설관리학회논문집
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    • 제10권5호
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    • pp.135-147
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    • 2009
  • 최근 해외건설 시장은 진출국 투자 현지화 요구 등 기업의 장기적 투자를 필요로 하는 프로젝트가 증가하는 경향을 보이고 있어, 건설기업 입장에서 개별 프로젝트 중심의 한시적 의사결정보다는 중 장기적인 관점에서 투자를 고려해야하는 복합적인 진출의사결정 상황에 대한 판단을 요구하고 있다. 따라서 중 장기적 관점에서 해당 진출국 시장의 리스크를 분석하고 해당 진출국의 시장성 진출여부 등을 합리적으로 평가할 수 있는 체계가 기업 경쟁력의 핵심이 된다고 할 수 있다. 하지만 이러한 기업의 시장진출 의사결정과 관련하여 전통적으로 재무적 가치평가를 위해 활용되어 온 현금흐름할인법은 시장의 변동성이나 불확실성을 고려하는 데에 한계를 가지고 있다. 따라서 본 연구에서는 실물옵션 분석에 기초하여, 해외 건설시장진출 안의 평가에 있어 시장의 불확실성을 반영할 수 있는 모델을 개발하고자 하였다. 제안된 시장진출 의사결정모델은 실물옵션 분석을 통해 진출 여부 국가 유형 등과 같은 주요 의사결정 항목들을 통합적으로 고려하여 진출 안을 평가할 수 있으며, 시나리오 분석을 통해 제안된 시장진출의사결정 모델의 분석과정을 제시함으로써 활용성을 검증하였다. 본 연구의 시장진출 의사결정모델의 활용을 통해 해외 건설시장 진출을 계획하는 건설기업의 합리적 의사결정을 지원할 수 있을 것으로 기대된다.