• Title/Summary/Keyword: Geske compound option model

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The Economic Evaluation of the Renewable Energy Projects using the Geske Model (게스케(Geske) 모델을 이용한 신재생에너지사업의 경제성 분석)

  • Jaehun Sim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.31-41
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    • 2022
  • As the environmental impacts of fossil fuel energy sources increase, the South Korean government has tried to change non-environmental-friendly enery sources to environmental-friendly energy sources in order to mitigate environmental effects, which lead to global warming and air pollution. With both a limited budget and limited time, it is essential to accurately evaluate the economic and environmental effects of renewable energy projects for the efficient and effective operation of renewable energy plants. Although the traditional economic evaluation methods are not ideal for evaluating the economic impacts of renewable energy projects, they can still be used for this purpose. Renewable energy projects involve many risks due to various uncertainties. For this reason, this study utilizes a real option method, the Geske compound model, to evaluate the renewable energy projects on Jeju Island in terms of economic and environmental values. This study has developed an economic evaluation model based on the Geske compound model to investigate the influences of flexibility and uncertainty factors on the evaluation process. This study further conducts a sensitivity analysis to examine how two uncertainty factors (namely, investment cost and wind energy production) influence the economic and environmental value of renewable energy projects.

Valuation of Two-Stage Technology Investment Using Double Real Option (이중실물옵션을 활용한 단계별 기술투자 가치평가)

  • 성웅현
    • Journal of Korea Technology Innovation Society
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    • v.5 no.2
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    • pp.141-151
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    • 2002
  • Many technology investment projects can be considered as set of sequential options. A compound real option can be used for evaluating sequential technology investment decisions under significant uncertainty and measuring its value. In this paper, the formula developed by Geske and Johnson(1984) and Buraschi and Dumas(2001) was applied to evaluate the technology investment with related double real option. Also double real option was com-pared with net present value method and multiple linear regression model was used to assess the partial effects of risk free rate and log-term volatility on its value.

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