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• W2983293483 abstract "In stochastic control problems delicate issues arise when the controlled system can jump due to both exogenous shocks and endogenous controls. Here one has to specify what the controller knows when about the exogenous shocks and how and when she can act on this information. We propose to use Meyer-$sigma$-fields as a flexible tool to model information flow in such situations. The possibilities of this approach are illustrated first in a very simple linear stochastic control problem and then in a fairly general formulation for the singular stochastic control problem of irreversible investment with inventory risk. For the latter, we illustrate in a first case study how different signals on exogenous jumps lead to different optimal controls, interpolating between the predictable and the optional case in a systematic manner." @default.
• W2983293483 created "2019-11-22" @default.
• W2983293483 creator A5023772238 @default.
• W2983293483 creator A5026036747 @default.
• W2983293483 date "2018-10-19" @default.
• W2983293483 modified "2023-10-01" @default.
• W2983293483 title "Modelling information flows by Meyer-$sigma$-fields in the singular stochastic control problem of irreversible investment" @default.
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• W2983293483 hasPublicationYear "2018" @default.
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