• Title/Summary/Keyword: Real Option Model

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An Empirical Study on the Investment Evaluation of Korean Global Companies Using a Real Option Valuation Model (우리나라 글로벌 기업의 실물옵션을 이용한 투자안 평가 실증연구)

  • Jeong, Eui-Jong
    • Plant Journal
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    • v.8 no.3
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    • pp.42-48
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    • 2012
  • Under traditional analysis of the capital budgeting, NPV, it is assumed that management cannot react to deviation from the expected scenario of cash flow at the time of evaluation. In practice, however, it is less likely that the expected scenario will come true when new information arrives and uncertainty is resolved. Uncertainty and risk can be influenced through 'managerial flexibility', which becomes a central instrument for value creation. Real option framework including option to defer, option for staged investment, option to alter, option to abandon, option to switch, etc. takes this managerial flexibility into account. Therefore, it is more appropriate to use real option method to evaluate the project than the traditional DCF(discounted cash flow) tool if the firm has high volatility of the expected returns.

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A Patent Valuation Method Using Game Theoretic Real Option Approach (실물옵션 게임이론을 이용한 특허가치 평가 방법)

  • Kim, Jinyong;Kim, Jaehee;Kim, Sheung-Kown
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.2
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    • pp.43-61
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    • 2015
  • The valuation of patents is very important, since technology competitiveness is crucial for firms to maintain global competitiveness. But, the patent valuation is difficult and challenging because of the uncertainty affecting their returns. Hence, we propose a patent valuation method by incorporating game theory into the real option model, which can not only potentially recognizes the effect of uncertainty on patent value, but also consider investment decision in a competitive market, as a game between firms. With the model, we can consider dynamic strategy involving an option of patent leveraging strategies enabling the firm to switch among compete, cooperate, or wait modes under different demand or competitive advantage condition.

The Valuation for Automatic Milking System (자동착유시스템의 투자효과 분석)

  • Kim, Yun Ho;Son, Chan Soo;Kim, Mi Ok;Jung, Gu Hyun
    • Journal of Agricultural Extension & Community Development
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    • v.19 no.4
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    • pp.799-831
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    • 2012
  • This study was accomplished to support farmers who want to introduce Automatic Milking System. The methods of analysis is considered on it as investment analysis that NPV, ROV and FROV. As a classical investment analysis technique, NPV showed 142 thousand won on the every senarioes. On the other hands, The Real Option Analysis showed 153,826, 154,937 and 152,858 on the normal, optimistic and pessimistic senarioes respectively. it is considered as a investment analysis technique for strategic decision-making. But, it may have problem to evaluate present value of expected cash flows and expected costs by a single number. To solve those problems, this paper tried to evaluate Fuzzy Real Option Model which were jointed with a real option model and Fuzzy set model. The result of analysis showed, on respective senarioes, 153,515 to 161,489, 154,612 to 162,970, and 152,573 to 159,835 on the interval estimation. Thereby It is a more realistic in many cases.

A Real Option Perspective to Evaluate Purchase Decisions of Construction Materials with High Price Volatility (가격 변동성이 높은 건설 자재 구매 의사결정에 대한 실물옵션 관점의 평가 - 태양전지 구매를 중심으로 -)

  • Kim, Byungil;Kim, Changyoon
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.1
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    • pp.76-82
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    • 2016
  • Decision-making in construction projects often include options features. Such embedded options are difficult to value properly and many decision makers do not have experience in option analysis. The purpose of this paper is to demonstrate how real option analysis can be used to value capital expenditures on construction materials. We propose a real option framework to evaluate decision-making processes involving the purchase of construction materials. A case study was conducted by evaluating the purchase decision-making of solar cells, a good with high price volatility. Using real option analysis two strategies to improve the financial feasibility of installing a solar panel system were derived. The first strategy involves using a price cap that gives the project manager the right, but not obligation, to buy the modules for a predefined price during the next year. The second strategy is to defer the purchase of the solar cells until future price information becomes clearer. Both of the strategies in the case study were valued using the binominal model. This study will help to improve the financial feasibility of purchasing construction materials with high price volatility by including the value of managerial flexibility.

Using Real Options to value the flexibility of Engineering Management decisions in Infrastructure Projects

  • Koo, Bonsang
    • Journal of Construction Engineering and Project Management
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    • v.3 no.1
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    • pp.10-13
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    • 2013
  • Determining on a particular construction method is typically decided in the initial phases of a project. However, changing conditions during actual construction may require a different method or technology to be employed. Providing an option for project managers to change construction provides flexibility that can increase value to the overall project. This research provides the ability to modify construction methods as a real option, which allows its value to be modeled. The research also formalizes a way to integrate a binomial lattice model with the Earned Value Method's S-curve. The integrated model provides a decision support tool that planners can use to determine whether to exercise the option depending on the status metrics provided by EVM.

Integrating Real Options with Earned Value methods as a decision support tool for the financial evaluation of alternative construction methods

  • Bonsang Koo
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.129-132
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    • 2013
  • Determining on a particular construction method is typically decided in the initial phases of a project. However, changing conditions during actual construction may require a different method or technology to be employed. Providing an option for project managers to change construction provides flexibility that can increase value to the overall project. This research provides the ability to modify construction methods as a real option, which allows its value to be modeled. The research also formalizes a way to integrate a binomial lattice model with the Earned Value Method's S-curve. The integrated model provides a decision support tool that planners can use to determine whether to exercise the option depending on the status metrics provided by EVM.

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A Study on The Investment of The Secondhand BulkShip Using Real Option Model (실물옵션을 활용한 중고선박 가치평가연구)

  • Lee, Chong-Woo;Jang, Chul-Ho;Choi, Jung-Suk
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.95-107
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    • 2022
  • Shipping companies earn profits through cargo transportation, and therefore, investment decisions to purchase ships are more important than anything else. Nevertheless, the cash flow discount method was mainly used in the economic analysis method, which assumes that all situations are static. This study shows that the real option model is useful in the economic analysis of ship investment. This economic analysis took into account the irreversibility of investment and uncertainty of benefits. In particular, this study used a binary option price determination model among real options. In addition, the simulation was conducted using actual investment data of A shipping company. As a result of the analysis, the investment value of used ships according to the net present value method was analyzed as negative (-), but the investment value in the real option model reflecting the flexibility of decision-making was evaluated as having positive (+) economic feasibility. It was analyzed that economic feasibility is affected by profit volatility and discount rate. Therefore, this study is expected to help shipping companies make more flexible decisions by using the real option model along with the existing net present value method when making ship investment decisions.

Effective R&D investment strategy using real options (실물 옵션 이론을 활용한 효과적인 R&D 투자 전략)

  • ;Wonsoon Hong
    • Proceedings of the Technology Innovation Conference
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    • 2001.06a
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    • pp.117-130
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    • 2001
  • R&D is the core competence of an enterprise. Furthermore, R&D requires huge capital investment and has very risky characteristics. Therefore, to be successful in R&D process, several approaches of engineering economics are used prior to decision-making. Until now, typical approaches of engineering economics such as NPV(net present value) or DCF(Discounted cash flow) have been used. But, they cannot properly capture managerial flexibility to adapt and revise later decisions in response to unexpected market development. In a constantly changing and always uncertain marketplace, managerial operation flexibility and strategic adaptability have become vital in order to successfully capitalize on favorable future investment opportunities and limit losses from adverse market development. For the alternatives of conventional static decision-making approaches, new concept of using real options is introduced. Real option theory is based on financial option's characteristics and checks every revision interval whether situation have changed favorable to decision maker or not. In advantageous situation, the decision maker has only to go on. In contrast, with unfavorable situation, he abandons the investment immediately. In this aspect, real option model is more suitable in very uncertain and dynamic business environment in that it can provide the opportunity to cope with flexibility. This paper suggests efficient and effective R&D investment strategy by using real options model. In addition, this paper compares financial options and real options.

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

  • Choi, Gyung-Hyun;Cho, Dae-Myeong;Joung, Young-Ki
    • IE interfaces
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    • v.24 no.4
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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.

Applicability of the Real Option Valuation Method to the Economic Analysis of Water Resources Supply Projects (수자원 공급 사업의 경제성 평가: 실물옵션가치평가기법의 적용성 검토)

  • Yu, Soon-Young;Unger, Andre J.A.;Kim, Tae-Hee
    • Economic and Environmental Geology
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    • v.41 no.5
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    • pp.551-562
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    • 2008
  • Option pricing model in finance has been applied to price non-financial options, called real options. The real option valuation method is ideally suited to irreversible decision making under uncertainty, including the need to determine the optimal time to act and even change between alternative courses of action as information is collected. Therefore, the real option valuation method is expected to provide a superior and less subjective approach to determining optimal strategies for water resources supply projects, which have been reported to have huge risks due to uncertainties, and investors and policy makers need to build an optimal strategy - when and if to invest - with uncertainties and managerial flexibilities considered.