Wang, Tianyang, authorDyer, James, authorDecision Analysis, publisher2020-05-122020-05-122010-06Valuing Multifactor Real Options Using an Implied Binomial Tree. (2010). Decision Analysis, 7(2), 185–195. https://doi.org/10.1287/deca.1100.0174https://hdl.handle.net/10217/206698Includes bibliographical references (page 23).This 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.born digitalarticleseng©2020 EBSCO Industries, Inc. Copyright of Decision Analysis is the property of INFORMS: Institute for Operations Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.real optionsimplied binomial treemultifactorsimulationTexthttps://doi.org/10.1287/deca.1100.0174