American Society of Civil Engineers


Valuing Simple Multiple-Exercise Real Options in Infrastructure Projects


by Nicola Chiara, S.M.ASCE, (Ph.D. Candidate, Dept. of Civ. Engrg. and Engrg. Mech., Columbia Univ., New York, NY 10027. E-mail: nc2112@columbia.edu), Michael J. Garvin, (corresponding author), M.ASCE, (Asst. Prof., School of Constr., Virginia Tech, Blacksburg, VA 24061-0105 E-mail: garvin@jvt.edu), and Jan Vecer, (Asst. Prof., Dept. of Statistics, Columbia Univ., New York, NY 10027. E-mail: vecer@stat.columbia.edu)

Journal of Infrastructure Systems, Vol. 13, No. 2, June 2007, pp. 97-104, (doi:  http://dx.doi.org/10.1061/(ASCE)1076-0342(2007)13:2(97))

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Document type: Journal Paper
Abstract: The revenue risk is considerable in infrastructure project financing arrangements such as build — operate — transfer (BOT). A potential mitigation strategy for the revenue risk is a governmental revenue guarantee, where the government secures a minimum amount of revenue for a project. Such a guarantee is: (1) only redeemable at distinct points in time; and (2) more economical if the government limits the guarantee’s availability to the early portions of a BOT’s concession period. Hence, a guarantee characterized by this type of structure takes the form of either a Bermudan or a simple multiple-exercise real option, depending upon the number of exercise opportunities afforded. The multi-least-squares Monte Carlo technique is presented and illustrated as a promising approach to determine the fair value of this variety of real option. This method is far more flexible than prevailing approaches, so it represents an important step toward improving risk mitigation and facilitating contractual and financial negotiations in BOT projects.


ASCE Subject Headings:
Build/Operate/Transfer
Stochastic models
Monte Carlo method
Regression analysis
Optimization
Infrastructure