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Valuing multifactor real options using an implied binomial tree

dc.contributor.authorWang, Tianyang, author
dc.contributor.authorDyer, James, author
dc.contributor.authorDecision Analysis, publisher
dc.date.accessioned2020-05-12T16:29:20Z
dc.date.available2020-05-12T16:29:20Z
dc.date.issued2010-06
dc.descriptionIncludes bibliographical references (page 23).
dc.description.abstractThis paper proposes an approach for solving a multifactor real options problem by approximating the underlying stochastic process with an implied binomial tree. The implied binomial tree is constructed to be consistent with simulated market information. By simulating European option prices as artificial market information, we apply the implied binomial tree method for real options valuation when the options are contingent on the value of market uncertainties that are not traded assets. Compared to the discrete approximations suggested in the current literature, this method offers a more flexible distribution assumption for project values and therefore provides an alternative approach to estimating the value of high-dimensional real options. For risk managers, it serves as a capital budgeting method for projects with managerial flexibility.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationValuing Multifactor Real Options Using an Implied Binomial Tree. (2010). Decision Analysis, 7(2), 185–195. https://doi.org/10.1287/deca.1100.0174
dc.identifier.doihttps://doi.org/10.1287/deca.1100.0174
dc.identifier.urihttps://hdl.handle.net/10217/206698
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
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dc.subjectreal options
dc.subjectimplied binomial tree
dc.subjectmultifactor
dc.subjectsimulation
dc.titleValuing multifactor real options using an implied binomial tree
dc.typeText

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