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Optimal bailout strategies resulting from the drift controlled supercooled Stefan problem

Christa Cuchiero (), Christoph Reisinger () and Stefan Rigger ()
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Christa Cuchiero: Vienna University
Christoph Reisinger: University of Oxford
Stefan Rigger: Vienna University

Annals of Operations Research, 2024, vol. 336, issue 1, No 44, 1315-1349

Abstract: Abstract We consider the problem faced by a central bank which bails out distressed financial institutions that pose systemic risk to the banking sector. In a structural default model with mutual obligations, the central agent seeks to inject a minimum amount of cash in order to limit defaults to a given proportion of entities. We prove that the value of the central agent’s control problem converges as the number of defaultable institutions goes to infinity, and that it satisfies a drift controlled version of the supercooled Stefan problem. We compute optimal strategies in feedback form by solving numerically a regularized version of the corresponding mean field control problem using a policy gradient method. Our simulations show that the central agent’s optimal strategy is to subsidise banks whose equity values lie in a non-trivial time-dependent region.

Keywords: Systemic risk; Mean field control; Supercooled Stefan problem; Propagation of chaos; Bail-outs (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-023-05293-7

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