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Using Agent-Based Models for Analyzing Threats to Financial Stability

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  • Richard Bookstaber

    (Office of Financial Research)

Abstract

Existing models of financial instability tend to be based on top-down, partial-equilibrium views of markets and their interactions; they are unable to incorporate the complexity of behavior among heterogeneous firms or the tendency for all types of firms to change their behavior during a crisis. This paper argues that agent-based models (ABMs)--which seek to explain how the behavior of individual firms or "agents" can affect outcomes in complex systems--can make an important contribution to our understanding of potential vulnerabilities and paths through which risks can propagate across the financial system.

Suggested Citation

  • Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
    • Handle: RePEc:ofr:wpaper:12-03
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    File URL: https://financialresearch.gov/working-papers/files/OFR_Working_Paper_No3_ABM_Bookstaber_Final.pdf
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    References listed on IDEAS

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    Cited by:

    1. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Péter Juhász & Nóra Felföldi-Szűcs, 2022. "Financing Cooperative Supply Chain Members—The Bank’s Perspective," Risks, MDPI, vol. 10(7), pages 1-17, July.
    3. Daniel Covitz & Nellie Liang & Tobias Adrian, 2015. "Financial Stability Monitoring," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 357-395, December.
    4. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    5. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    6. International Monetary Fund, 2016. "United Kingdom: Financial Sector Assessment Program-Stress Testing the Banking Sector-Technical Note," IMF Staff Country Reports 2016/163, International Monetary Fund.
    7. Llacay, Bàrbara & Peffer, Gilbert, 2017. "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 223-256.
    8. Richard Bookstaber & Mark Paddrik & Brian Tivnan, 2018. "An agent-based model for financial vulnerability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 433-466, July.
    9. Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    10. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2013. "Stress Scenario Selection by Empirical Likelihood," Working Papers 13-07, Office of Financial Research, US Department of the Treasury.
    11. Nan Lu, 2018. "La modélisation de l’indice CAC 40 avec un modèle basé agent," Erudite Ph.D Dissertations, Erudite, number ph18-02 edited by François Legendre.
    12. Richard Bookstaber & Michael D. Foley & Brian F. Tivnan, 2015. "Market Liquidity and Heterogeneity in the Investor Decision Cycle," Working Papers 15-03, Office of Financial Research, US Department of the Treasury.
    13. Mohammad sadegh Karimi & Abbas Maleki, 2018. "The Study of Different Factors Effects on the Oil Futures Price by Applying Agent-based Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 76-81.
    14. Sotoudeh Mollashahi, Vahideh & Talebi, Mohammad & Rastegar, Mohammad Ali & Mojab, Ramin, 2020. "Does One Size Fit All? The Impact of Liquidity Requirements on Bank\'s Insolvency: Evidence from Iranian Listed Banks," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 181-197, April.
    15. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.
    16. Andrea Aguiar & Rick Bookstaber & Thomas Wipf, 2014. "A Map of Funding Durability and Risk," Working Papers 14-03, Office of Financial Research, US Department of the Treasury.
    17. Bookstaber, Rick & Cetina, Jill & Feldberg, Greg & Flood, Mark & Glasserman, Paul, 2013. "Stress tests to promote financial stability: Assessing progress and looking to the future," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 7(1), pages 16-25, December.
    18. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    19. Richard Bookstaber & Mark Paddrik, 2015. "An Agent-Based Model of Liquidity," Working Papers 15-18, Office of Financial Research, US Department of the Treasury.
    20. Mr. Dimitri G Demekas, 2015. "Designing Effective Macroprudential Stress Tests: Progress So Far and the Way Forward," IMF Working Papers 2015/146, International Monetary Fund.
    21. Office of Financial Research (ed.), 2013. "Office of Financial Research 2013 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 13-2, May.

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    Keywords

    Agent Based Models; Financial Stability;

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