Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2008

Abstract

Real options analysis (ROA) has been developed to correctly value projects with inherent flexibility, including the possibility to abandon, defer, expand, contract or switch to a different project. ROA allows computing the correct discount rate using the replicating portfolio technique or risk-neutral probability method. We propose an alternative approach for valuing Real Options based on the certainty-equivalent version of the net present value formula, which eliminates the need to identify market-priced twin securities. In addition, our approach can be extended to the case of multinomial trees, a useful tool for modeling uncertainty in projects. We introduce within decision tree analysis (DTA) a method to derive the different discount rates that prevail at different chance nodes. We illustrate the valuation method with an application presented in “A Scenario Approach to Capacity Planning” [Eppen, G.D., Martin, R.K., Schrage, L.E., 1989. A scenario approach to capacity planning. Operations Research, 37 (4)], in which the authors state that for the capacity configuration investment decision studied at General Motors, “… there is no scientific way to determine the appropriate discount rate based on estimated demand.” Our method allows deriving the scientifically correct discount rates. A major result of the analysis is that the discount rates are endogenously derived from the project structure and its behavior in light of prevailing market conditions, instead of being exogenously imposed.

Keywords

Decision analysis, Finance, Investment analysis, Real options analysis, Scenarios

Discipline

Business Administration, Management, and Operations | Finance and Financial Management

Research Areas

Operations Management

Publication

European Journal of Operational Research

Volume

184

Issue

1

First Page

341

Last Page

355

ISSN

0377-2217

Identifier

10.1016/j.ejor.2006.07.047

Publisher

Elsevier: 24 months

Embargo Period

8-29-2021

External URL

https://doi.org/10.1016/j.ejor.2006.07.047

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