2017
DOI: 10.1287/moor.2016.0841
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Optimal Boundary Surface for Irreversible Investment with Stochastic Costs

Abstract: Abstract. This paper examines a Markovian model for the optimal irreversible investment problem of a firm aiming at minimizing total expected costs of production. We model market uncertainty and the cost of investment per unit of production capacity as two independent one-dimensional regular diffusions, and we consider a general convex running cost function. The optimization problem is set as a three-dimensional degenerate singular stochastic control problem. We provide the optimal control as the solution of a… Show more

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Cited by 32 publications
(36 citation statements)
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References 48 publications
(70 reference statements)
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“…The proof is organised in several steps. It follows arguments similar to those recently employed in [15] for a two-dimensional elliptic problem, and it extends to our two-dimensional setting the arguments presented in [38], Section 25.…”
Section: The Auxiliary Optimal Stopping Problemmentioning
confidence: 70%
See 1 more Smart Citation
“…The proof is organised in several steps. It follows arguments similar to those recently employed in [15] for a two-dimensional elliptic problem, and it extends to our two-dimensional setting the arguments presented in [38], Section 25.…”
Section: The Auxiliary Optimal Stopping Problemmentioning
confidence: 70%
“…It is worth noticing that the number of papers characterising the optimal policy in multidimensional singular stochastic control problems is still limited (see [15] for a recent contribution). In some early papers (see, e.g., [9], [36], [43] and [45]) fine analytical methods based on the dynamic programming principle and the theory of variational inequalities are employed to study the regularity of the value function of multi-dimensional singular stochastic control problems, and of the related free boundary.…”
Section: Introductionmentioning
confidence: 99%
“…This is motivated by the fact that in recent years several specific problems of this kind have appeared in the literature (cf. [6], [8], [10], [12], [16], [17]) and further ones are on their way. Often these papers are motivated by real-world applications where dimension two (or higher) plays a crucial role (cf.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the known uniqueness arguments [22,, originally established in [19] and further refined in [11], extend to this fully two-dimensional case as well (cf. [6], [8], [12], [16], [17]) and this enables one to characterise the optimal stopping boundary as the unique solution to a nonlinear integral equation in the class of continuous functions (with the value function being expressed in terms of the optimal stopping boundary itself). This characterisation of the optimal stopping boundary is known to be sufficient for practical purposes of optimal stopping (using Picard iteration for numerics for instance) and higher degrees of regularity can then be studied subsequently as/if needed.…”
Section: Introductionmentioning
confidence: 99%
“…More relevant to this paper models have been studied by several authors in the economics literature: see Dixit and Pindyck [17,Chapter 11] and references therein. Related models that have been studied in the mathematics literature include Davis, Dempster, Sethi and Vermes [13], Arntzen [4], Øksendal [42], Wang [48], Chiarolla and Haussmann [11], Bank [6], Alvarez [2,3], Løkka and Zervos [35], Steg [45], Chiarolla and Ferrari [9], De Angelis, Federico and Ferrari [15], and references therein. Furthermore, capacity expansion models with costly reversibility were introduced by Abel and Eberly [1], and were further studied by Guo and Pham [22], Merhi and Zervos [40], Guo and Tomecek [23,24], Guo, Kaminsky, Tomecek and Yuen [21], Løkka and Zervos [36], De Angelis and Ferrari [16], and Federico and Pham [19].…”
Section: Introductionmentioning
confidence: 99%