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A model for the long-term optimal capacity level of an investment project

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TLDR
In this article, the authors consider an investment project that produces a single commodity and determine a capacity expansion strategy that maximizes the ergodic or long-term average payoff resulting from the project's management.
Abstract
We consider an investment project that produces a single commodity. The project’s operation yields payoff at a rate that depends on the project’s installed capacity level and on an underlying economic indicator such as the output commodity’s price or demand, which we model by an ergodic, one-dimensional Itˆo diffusion. The project’s capacity level can be increased dynamically over time. The objective is to determine a capacity expansion strategy that maximizes the ergodic or long-term average payoff resulting from the project’s management. We prove that it is optimal to increase the project’s capacity level to a certain value and then take no further actions. The optimal capacity level depends on both the long-term average and the volatility of the underlying diffusion.

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Citations
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Characterization of the Optimal Boundaries in Reversible Investment Problems

TL;DR: In this paper, a reversible investment problem is studied where a social planner aims to control its capacity production in order to fit optimally the random demand of a good. But the resulting optimization problem leads to a degenerate two-dimensional bounded variation singular stochastic control problem for which explicit solution is not available in general and the standard verification approach cannot be applied a priori.
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Stochastic approximation with averaging innovation applied to Finance

TL;DR: In this article, the authors established a convergence theorem for multi-dimensional stochastic approximation when the innovations satisfy some light averaging properties in the presence of a pathwise Lyapunov function.
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Irreversible Capital Accumulation with Economic Impact

TL;DR: In this article, the authors consider an irreversible capacity expansion model in which additional investment has a strictly negative effect on the value of an underlying stochastic economic indicator, and the associated optimisation problem takes the form of a singular control problem that admits an explicit solution.
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Long-term optimal investment strategies in the presence of adjustment costs

TL;DR: This work solves the genuinely two-dimensional stochastic control problem by constructing an explicit solution to an appropriate Hamilton--Jacobi--Bellman equation and by fully characterizing an optimal investment strategy.
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An Optimal Trading Rule Under a Switchable Mean-Reversion Model

TL;DR: This work provides an optimal trading rule that allows buying and selling an asset sequentially over time using a switchable mean-reversion model with a Markovian jump to determine a sequence of trading times to maximize an overall return.
References
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Journal ArticleDOI

Irreversible investment problems

TL;DR: This paper mathematically treats the following economic problem: A company wants to expand its capacity in investments that are irreversible and gives some implicit conditions for a solution in the case where the market process is n-dimensional and an explicit solution for the one dimensional case.
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Explicit Solution of a Stochastic, Irreversible Investment Problem and Its Moving Threshold

TL;DR: A firm producing a single consumption good that makes irreversible investments to expand its production capacity is considered, and the associated optimal stopping problem is introduced, that is "the optimal cost of not investing".
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A Class of Singular Control Problems and the Smooth Fit Principle

TL;DR: In particular, the authors analyzes a class of singular control problems for which value functions are not necessarily smooth and provides necessary and sufficient conditions for the well-known smooth fit principle, along with the regularity of the value functions.
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Capacity Expansion with Exponential Jump Diffusion Processes

TL;DR: In this article, an irreversible capacity expansion problem where the industry demand is described by a double exponential jump diffusion process is studied, and the goal is to maximize the discounted overall profit, net the cost of investing.