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Numerical study of the stock market crises based on mean field games approach

  • Nikolai V. Trusov ORCID logo EMAIL logo


We present an approach to describe the stock market crises based on Mean Field Games (MFGs) and Optimal Control theory with a turnpike effect. The impact of the large amount of high-frequency traders (HFTs) can be modeled via a mean field term. We introduce the turnpike as a function that relies on the changes of the asset share price. An MFG is a coupled system of PDEs: a Kolmogorov–Fokker–Planck equation, evolving forward in time, and a Hamilton–Jacobi–Bellman equation, evolving backwards in time. The ill-posedness of this system comes from a turnpike effect. The numerical solution of an extremal problem that is dual to a PDE system is presented. We apply this approach to describe the Chinese stock market crash in 2015 considering the representative stock of CITIC Securities (ticker 600030). We consider HFTs that form a dominating bull and bear market. As a result, the bull strategy imitators do not make any profit.

MSC 2010: 49L20; 49M05; 65K10

Award Identifier / Grant number: 16-11-10246

Funding statement: The work has been supported by RSF (grant 16-11-10246).


The author would like to express his sincere gratitude to the scientific leader: a corresponding member of the Russian Academy of Sciences, Doctor of Physical and Mathematical sciences, A. A. Shananin for the guidance and help with Mean Field Games and Optimal Control theory.


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Received: 2020-02-16
Revised: 2020-06-22
Accepted: 2021-01-18
Published Online: 2021-04-02
Published in Print: 2021-12-01

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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