Real Option Models in Fuzzy-Stochastic Environment (Fuzzy - Stochastic Approach)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F11%3A86081211" target="_blank" >RIV/61989100:27510/11:86081211 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Real Option Models in Fuzzy-Stochastic Environment (Fuzzy - Stochastic Approach)
Original language description
The real option methodology is the generalised approach in corporate financial decision-making, investing and valuation. Traditionally, real option models reflect stochastic underlying processes and flexibility (dynamic decision-making). Usually, input data are in the form of the real (crisp) numbers or the crisp-stochastic distribution function. However, sometimes there are not at to disposal input data of required type and quality and are known only vaguely. Two aspects of input data uncertainty should be distinguished particularly risk (stochastic) and vagueness (fuzzy). Therefore, hybrid models, the combination of risk and vagueness could be useful approach in the option valuation. The chapter includes survey of fuzzy-stochastic real option modelsand application conditions and possibilities. Models are applied for decision-making reasons (crisp output solution) and generalised sensitivity investigation (fuzzy-stochastic output solution).
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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