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Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach

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Abstract

This paper presents an agent-based model aiming to shed light on the potential destabilizing effects of bank behavior. Our work takes its motivation from the effects of the financial crisis which erupted in 2007 in the US. It draws on the Financial Instability Hypothesis by Hyman P. Minsky, and on the Agent Based macro modeling literature (Delli Gatti et al. 2010, Riccetti et. al 2013) to model a simplified economy in which heterogeneous banks and firms interact on game theoretic rules. Simulation results suggest that aggregate financial instability may emerge as the outcome of banks’ attempt to increase their profit or market share through their pricing strategies. A further finding from the model is the need for banks to take into account time consistency when issuing credit in order to protect the financial stability of the system.

Suggested Citation

  • Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    • Handle: RePEc:jas:jasssj:2015-23-3
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    Cited by:

    1. Wenchong Chen & Hongwei Liu & Dan Xu, 2018. "Dynamic Pricing Strategies for Perishable Product in a Competitive Multi-Agent Retailers Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-12.
    2. Valentina Y. Guleva & Klavdiya O. Bochenina & Maria V. Skvorcova & Alexander V. Boukhanovsky, 2017. "A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-15.

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