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Mean Field Games with Heterogeneous Groups: Application to Banking Systems

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  • Li-Hsien Sun

    (National Central University)

Abstract

We study the system of heterogeneous lending and borrowing based on the relative average of log-capitalization given by the linear combination of the average within groups and ensemble average. Moreover, we describe the evolution of log-capitalization by using a system of coupled diffusions. The model incorporates a game feature with homogeneity within groups and heterogeneity among groups where banks search for the optimal strategies for lending to or borrowing from a central bank by minimizing the heterogeneous linear quadratic costs to avoid approaching the default barrier. The importance of relative concerns causes the relative ensemble average to be the critical determinant for lending and borrowing. The existence of closed- and open-loop Nash equilibria for the two-group case is validated by the solvability for the coupled Riccati equations. Both equilibria comprise the mean-reverting terms identical to the homogeneous game and all group averages owing to heterogeneity. The comparison of the obtained open- and closed-loop Nash equilibria is discussed. Furthermore, the existence of an approximate Nash equilibrium of the mean field games in the general d heterogeneous groups is verified. Finally, in financial implications, we study the influence of the incentive and relative parameters and also the number of banks on the corresponding liquidity rates through numerical analysis.

Suggested Citation

  • Li-Hsien Sun, 2022. "Mean Field Games with Heterogeneous Groups: Application to Banking Systems," Journal of Optimization Theory and Applications, Springer, vol. 192(1), pages 130-167, January.
    • Handle: RePEc:spr:joptap:v:192:y:2022:i:1:d:10.1007_s10957-021-01955-3
    DOI: 10.1007/s10957-021-01955-3
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    References listed on IDEAS

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    1. Konstantinos Spiliopoulos & Jia Yang, 2019. "Network Effects in Default Clustering for Large Systems," Applied Mathematical Finance, Taylor & Francis Journals, vol. 26(6), pages 523-582, November.
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    5. Daniel Lacker & Thaleia Zariphopoulou, 2019. "Mean field and n‐agent games for optimal investment under relative performance criteria," Mathematical Finance, Wiley Blackwell, vol. 29(4), pages 1003-1038, October.
    6. Gilles-Edouard Espinosa & Nizar Touzi, 2015. "Optimal Investment Under Relative Performance Concerns," Mathematical Finance, Wiley Blackwell, vol. 25(2), pages 221-257, April.
    7. René Carmona & Jean-Pierre Fouque & Seyyed Mostafa Mousavi & Li-Hsien Sun, 2018. "Systemic Risk and Stochastic Games with Delay," Journal of Optimization Theory and Applications, Springer, vol. 179(2), pages 366-399, November.
    8. Fei Fang & Yiwei Sun & Konstantinos Spiliopoulos, 2016. "The effect of heterogeneity on flocking behavior and systemic risk," Papers 1607.08287, arXiv.org, revised Jun 2017.
    9. Li-Hsien Sun, 2018. "Systemic Risk and Interbank Lending," Journal of Optimization Theory and Applications, Springer, vol. 179(2), pages 400-424, November.
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    Cited by:

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