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Evaluating Natural Resource Investments

1985/01/01 by Michael J. Brennan, Eduardo S. Schwartz · 2,434 citations
Economics, Econometrics and Finance · Engineering · #Archaeology #Biology #Business #Capital Investment and Risk Analysis #Computer science #Ecology #Economics #Geography #Mining Techniques and Economics #Natural (archaeology) #Natural resource #Natural resource economics #Reservoir Engineering and Simulation Methods #Resource (disambiguation)

paper · doi:10.1086/296288

published in The Journal of Business 58(2), 135 (University of Chicago Press)

openalex publication_date 1985/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

Notwithstanding impressive advances in the theory of finance over the past 2 decades, practical procedures for capital budgeting have evolved only slowly. The standard technique, which has remained unchanged in essentials since it was originally proposed (see Dean 1951; Bierman and Smidt 1960), derives from a simple adaptation of the Fisher (1907) model of valuation under certainty: under this technique, expected cash flows from an investment project are discounted at a rate deemed appropriate to their risk, and the resulting present value is compared with the cost of the project. This standard textbook technique reflects modern theoretical developments only insofar as estimates of the discount rate may be obtained from crude application of single period asset pricing theory (but see Brennan 1973; Bogue and Roll 1974; Turnbull 1977; Constantinides 1978). The inadequacy of this approach to capital budgeting is widely acknowledged, although not widely discussed. Its obvious deficiency is its The evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices. It is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing, managing, and abandoning them. The approach may be adapted to a wide variety of contexts outside the natural resource sector where uncertainty about future project revenues is a paramount concern.

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