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Cyber Risk and the U.S. Financial System: A Pre-Mortem Analysis

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Abstract

We model how a cyber attack may be amplified through the U.S. financial system, focusing on the wholesale payments network. We estimate that the impairment of any of the five most active U.S. banks will result in significant spillovers to other banks, with 38 percent of the network affected on average. The impact varies and can be larger on particular days and geographies. When banks respond to uncertainty by liquidity hoarding, the potential impact in forgone payment activity is dramatic, reaching more than 2.5 times daily GDP. In a reverse stress test, interruptions originating from banks with less than $10 billion in assets are sufficient to impair a significant amount of the system. Additional risk emerges from third party providers, which connect otherwise unrelated banks, and from financial market utilities.

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  • Thomas M. Eisenbach & Anna Kovner & Michael Junho Lee, 2020. "Cyber Risk and the U.S. Financial System: A Pre-Mortem Analysis," Staff Reports 909, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:87390
    Note: Revised May 2021.
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    Cited by:

    1. Martin Boyer & Martin Eling, 2023. "New advances on cyber risk and cyber insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(2), pages 267-274, April.
    2. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    3. Chang, Jin-Wook & Jayachandran, Kartik & Ramírez, Carlos A. & Tintera, Ali, 2024. "On the anatomy of cyberattacks," Economics Letters, Elsevier, vol. 238(C).
    4. Aldasoro, Iñaki & Gambacorta, Leonardo & Giudici, Paolo & Leach, Thomas, 2022. "The drivers of cyber risk," Journal of Financial Stability, Elsevier, vol. 60(C).
    5. Paolo Giudici & Emanuela Raffinetti, 2021. "Cyber risk ordering with rank-based statistical models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 469-484, September.
    6. José Ramón Martínez Resano, 2022. "Digital resilience and financial stability. The quest for policy tools in the financial sector," Financial Stability Review, Banco de España, issue Autumn.
    7. Crosignani, Matteo & Macchiavelli, Marco & Silva, André F., 2023. "Pirates without borders: The propagation of cyberattacks through firms’ supply chains," Journal of Financial Economics, Elsevier, vol. 147(2), pages 432-448.
    8. José Ramón Martínez Resano, 2022. "Digital resilience and financial stability. The quest for policy tools in the financial sector," Financial Stability Review, Banco de España, issue Autumn.
    9. José Ramón Martínez Resano, 2022. "Digital resilience and financial stability. The quest for policy tools in the financial sector," Revista de Estabilidad Financiera, Banco de España, issue Otoño.
    10. Any Flore Djoumessi Djoukouo, 2023. "Recessions and recoveries in Central African countries: Lessons from the past," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1121-1142, August.

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    More about this item

    Keywords

    payments; cyber; networks; banks;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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