An irreversible investment problem with demand on a finite horizon: The optimal investment boundary analysis
This paper studies a continuous-time, finite horizon, irreversible investment problem where a social planner aims to minimize total expected costs of production capacity and demand. Our model allows for general diffusion dynamics on the demand as well as production capacity process controlled by a n...
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| Vydané v: | Communications in nonlinear science & numerical simulation Ročník 109; s. 106302 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Amsterdam
Elsevier B.V
01.06.2022
Elsevier Science Ltd |
| Predmet: | |
| ISSN: | 1007-5704, 1878-7274 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | This paper studies a continuous-time, finite horizon, irreversible investment problem where a social planner aims to minimize total expected costs of production capacity and demand. Our model allows for general diffusion dynamics on the demand as well as production capacity process controlled by a nondecreasing process representing the cumulative investment. Mathematically, it is a singular stochastic control problem whose value function satisfies a two-dimensional parabolic variational inequality with gradient constraint. The problem gives rise to a free boundary which stands for the optimal investment boundary. We use partial differential equation (PDE) approach to characterize some features of the free boundary and prove the C2,1 regularity of the value function. To the best of our knowledge, the method to study the monotonicity of free boundary about the time direction is an innovation.
•Study optimal irreversible investment problem on finite horizon.•Characterize continuity, monotonicity and asymptote of optimal investment boundary.•Method to study monotonicity of free boundary about time is an innovation. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1007-5704 1878-7274 |
| DOI: | 10.1016/j.cnsns.2022.106302 |