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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

C - Kapitola v odborné knize

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Real options analysis

ISBN

978-1-61324-330-5

Počet stran výsledku

19

Strana od-do

35-53

Počet stran knihy

113

Název nakladatele

Nova Science Publishers

Místo vydání

New York

Kód UT WoS kapitoly

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