To read this content please select one of the options below:

Measuring infrastructure investment option value

Gabriel J Power (Department of Finance, Insurance and Real Estate, Université Laval, Quebec City, Canada)
Charli D. Tandja M. (Department of Finance, Insurance and Real Estate, Université Laval, Quebec City, Canada)
Josée Bastien (Department of Civil and Water, Université Laval, Quebec City)
Philippe Grégoire (Department of Finance, Insurance and Real Estate, Université Laval, Quebec City, Canada)

Journal of Risk Finance

ISSN: 1526-5943

Article publication date: 19 January 2015




The purpose of this paper is to propose a risk-based framework to estimate the option value of infrastructure investment, accounting for the stochastic behavior of both financial and physical (engineering) variables.


This study uses a real-options approach and computes the optimal investment dates and option values using Least Squares Monte Carlo, both the original Longstaff – Schwartz algorithm and the constrained Least Squares approach of Le tourneau – Stentoft.


Real-option value for infrastructure investment is substantial. It is beneficial to model jointly financial and engineering risks to better understand the timing and real-option value of infrastructure investment. The analysis further shows which variables are option value drivers.

Research limitations/implications

Future work could integrate financing constraints into the model, consider path dependency in the physical state variables or integrate sovereign risk, expropriation risk, operational risk or other project risks.

Practical implications

Financial practitioners and investment managers interested in infrastructure risk finance or project finance will benefit from a novel framework to analyze infrastructure investments in which engineering and financial risks interact in a tractable way.

Social implications

Public decision-makers will benefit from a better understanding of what determines the value of infrastructure investments, how real-option value affects optimal investment timing and how both are determined by financial and engineering risks.


The analysis considers financial and engineering risks in a single framework to better understand option value in infrastructure investment. The framework and findings are useful both to risk finance and project finance practitioners and investors as well as engineers and public sector decision-makers.



The researchers acknowledge research funding from the National Sciences and Engineering Council of Canada (NSERC), Fonds de Recherche du Québec – Société et Culture (FRQSC), Fonds de Recherche du Québec – Nature et Technologies (FRQNT), and the Fondation Canadienne pour l’innovation. Excellent research assistance was provided by Alexandre Gagné.


Power, G.J., Tandja M., C.D., Bastien, J. and Grégoire, P. (2015), "Measuring infrastructure investment option value", Journal of Risk Finance, Vol. 16 No. 1, pp. 49-72.



Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

Related articles