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Risk-Averse Optimal Control in Continuous Time by Nesting Risk Measures

Author

Listed:
  • Alois Pichler

    (Faculty of Mathematics, Chemnitz University of Technology, 09111 Chemnitz, Germany)

  • Ruben Schlotter

    (Faculty of Mathematics, Chemnitz University of Technology, 09111 Chemnitz, Germany)

Abstract

This paper extends dynamic control problems from a risk-neutral to a risk-averse setting. We establish a limit for consecutive risk-averse decision making by consistently and adequately nesting coherent risk measures. This approach provides a new perspective on multistage optimal control problems in continuous time. For the limiting case, we elaborate a new dynamic programming principle, which is risk averse, and give risk-averse Hamilton–Jacobi–Bellman equations by generalizing the infinitesimal generator. In doing so, we provide a constructive explanation of the driver g in g -expectation, a dynamic risk measure based on backward stochastic differential equations.

Suggested Citation

  • Alois Pichler & Ruben Schlotter, 2023. "Risk-Averse Optimal Control in Continuous Time by Nesting Risk Measures," Mathematics of Operations Research, INFORMS, vol. 48(3), pages 1657-1678, August.
  • Handle: RePEc:inm:ormoor:v:48:y:2023:i:3:p:1657-1678
    DOI: 10.1287/moor.2022.1314
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