Macroeconomic model reference

Payment Systems ABM Model

How do banks' individual liquidity management strategies, payment queuing decisions, and bilateral netting behavior generate systemic gridlock risk, cascading settlement failures, and the need for central bank intraday liquidity provision in large-value payment systems?

Agent-based models · Sources

Payment Systems ABM sources, papers, and evidence trail

Primary papers, model variants, source notes, and review signals behind the Payment Systems ABM page.

References

Reference sources

Reference material used for orientation; read primary and academic sources first when claims conflict.

  1. [S1] Reference

    Galbiati and Soramaki (2011) -- stylized agent-based payment system with learning banks choosing how much liquidity to post (not a TARGET2 calibration)

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  2. [S2] Reference

    Arciero et al. (2009) -- multi-agent simulation of Italian payment system evaluating liquidity-saving mechanisms

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  3. [S3] Reference

    Beyeler et al. (2007) -- congestion and cascade dynamics in Fedwire-calibrated payment flows

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  4. [S4] Reference

    Diehl (2013) -- comprehensive simulation framework for RTGS, DNS, and hybrid payment system design

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  5. [S5] Reference

    Bech and Garratt (2003) -- two-player intraday liquidity management GAME (theory, not Fedwire data) supplying the strategic structure behind ABM behavioral rules

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  6. [S6] Reference

    Cont, Moussa, and Santos (2013) -- systemic risk from interbank CREDIT-exposure networks using Brazilian supervisory data; a solvency-contagion study, not a payment/clearing model

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  7. [S7] Reference

    Paddrik et al. (2020) -- payment network resilience under multi-system operational disruptions

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