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A Mean Field Game of Optimal Portfolio Liquidation

Author

Listed:
  • Guanxing Fu

    (Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

  • Paulwin Graewe

    (Deloitte Consulting GmbH, 10719 Berlin, Germany)

  • Ulrich Horst

    (Department of Mathematics and School of Business and Economics, Humboldt-Universität zu Berlin, 10099 Berlin, Germany)

  • Alexandre Popier

    (Laboratoire Manceau de Mathématiques, Le Mans Université, 72058 Le Mans Cedex 9, France)

Abstract

We consider a mean field game (MFG) of optimal portfolio liquidation under asymmetric information. We prove that the solution to the MFG can be characterized in terms of a forward-backward stochastic differential equation (FBSDE) with a possibly singular terminal condition on the backward component or, equivalently, in terms of an FBSDE with a finite terminal value yet a singular driver. Extending the method of continuation to linear-quadratic FBSDEs with a singular driver, we prove that the MFG has a unique solution. Our existence and uniqueness result allows proving that the MFG with a possibly singular terminal condition can be approximated by a sequence of MFGs with finite terminal values.

Suggested Citation

  • Guanxing Fu & Paulwin Graewe & Ulrich Horst & Alexandre Popier, 2021. "A Mean Field Game of Optimal Portfolio Liquidation," Mathematics of Operations Research, INFORMS, vol. 46(4), pages 1250-1281, November.
  • Handle: RePEc:inm:ormoor:v:46:y:2021:i:4:p:1250-1281
    DOI: 10.1287/moor.2020.1094
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