A Risk-Sensitive Ergodic Singular Stochastic Control Problem
We consider a two-sided singular stochastic control problem with a risk-sensitive ergodic criterion. In particular, we consider a stochastic system whose uncontrolled dynamics are modelled by a linear diffusion. The control that can be applied to the system is modelled by an additive finite variation process. The objective of the control problem is to minimise a risk-sensitive long-term average criterion that penalises deviations of the controlled process from a given interval, as well as the expenditure of control effort. The stochastic control problem has been partly motivated by the problem faced by a central bank who wish to control the exchange rate between its domestic currency and a foreign currency so that this fluctuates within a suitable target zone. We derive the complete solution to the problem under general assumptions by deriving a C2 solution to its HJB equation. To this end, we use the solutions to a suitable family of Sturm-Liouville eigenvalue problems.
Authors
- Mihail Zervos (ORCID: https://orcid.org/0000-0001-5194-6881)
- Justin Gwee
Institutions
- London School of Economics and Political Science (GB)
Publication Details
- Journal
- SIAM Journal on Control and Optimization
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1137/24m166557x
- Primary Topic
- Aerospace Engineering and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00