Systemic Risk and Stochastic Games with Delay
René Carmona (),
Jean-Pierre Fouque (),
Seyyed Mostafa Mousavi () and
Li-Hsien Sun ()
Additional contact information
René Carmona: Princeton University
Jean-Pierre Fouque: University of California Santa Barbara
Seyyed Mostafa Mousavi: University of California Santa Barbara
Li-Hsien Sun: National Central University
Journal of Optimization Theory and Applications, 2018, vol. 179, issue 2, No 2, 366-399
Abstract:
Abstract We propose a model of inter-bank lending and borrowing which takes into account clearing debt obligations. The evolution of log-monetary reserves of banks is described by coupled diffusions driven by controls with delay in their drifts. Banks are minimizing their finite-horizon objective functions which take into account a quadratic cost for lending or borrowing and a linear incentive to borrow if the reserve is low or lend if the reserve is high relative to the average capitalization of the system. As such, our problem is a finite-player linear–quadratic stochastic differential game with delay. An open-loop Nash equilibrium is obtained using a system of fully coupled forward and advanced-backward stochastic differential equations. We then describe how the delay affects liquidity and systemic risk characterized by a large number of defaults. We also derive a closed-loop Nash equilibrium using a Hamilton–Jacobi–Bellman partial differential equation approach.
Keywords: Systemic risk; Inter-bank borrowing and lending; Stochastic game with delay; Nash equilibrium; 91A15; 91G80; 60G99 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (23)
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DOI: 10.1007/s10957-018-1267-8
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