Commodity Resource Valuation And Extraction: A Pathwise Programming Approach

preprint2016arXivOpen access

Abstract

Complexity and uncertainty associated with commodity resource valuation and extraction requires stochastic control methods suitable for high dimensional states. Recent progress in duality and trajectory-wise techniques has introduced a variety of fresh ideas to this field with surprising results. This paper presents a first application of this promising development to commodity extraction problems. We introduce efficient algorithms for obtaining approximate solutions along with a diagnostic technique, which provides a quantitative measure for solution performance in terms of the distance between the approximate and the optimal control policy.

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