Linear-quadratic optimal control for non-exchangeable mean-field SDEs and applications to systemic risk
Overview & Synopsis
We study the linear-quadratic control problem for a class of non-exchangeable mean-field systems, which model large populations of heterogeneous interacting agents. We explicitly characterize the optimal control in terms of a new infinite-dimensional system of Riccati equations, for which we establish existence and uniqueness. To illustrate our results, we apply this framework to a systemic risk model involving heterogeneous banks, demonstrating the impact of agent heterogeneity on optimal risk mitigation strategies.
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hal.science)
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Document Information
| Document Title | Linear-quadratic optimal control for non-exchangeable mean-field SDEs and applications to systemic risk |
|---|---|
| Author / Organization | Anna de Crescenzo, Filippo de Feo, Huyên Pham |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2025 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-162793 |
| Original Source Link | Visit Source Page on hal.science » |