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March 10, 2026Journal of risk management in financial institutions0 citations

From latent risk to market collapse: Explaining flash crashes through the Swiss Cheese Model

SHSteven R. HaynesThe University of Texas at Dallas

Key Points

  • The aim is to explain flash crashes using the Swiss Cheese Model, adapting it to financial markets.
  • Introduces the Swiss Cheese Model as a conceptual framework.
  • Conducts a case study on the 2010 flash crash.
  • Identifies critical defence layers in trading systems.
  • Integrates insights from Normal Accident Theory and complex adaptive systems.
  • Identifies key weaknesses in algorithmic trading systems that contributed to flash crashes.
  • Emphasizes the importance of multilayered defences rather than single-point solutions.
  • Advances theoretical understanding of emergent failures in high-speed markets.

Abstract

Flash crashes in algorithmic trading markets, exemplified by the event on 6th May, 2010, reveal vulnerabilities that extend beyond isolated errors or single-point failures. This paper introduces the Swiss Cheese Model — originally conceptualised in aviation and safety engineering domains — as a systems-level framework for comprehensively understanding the simultaneous failures of multiple defence layers within financial markets. The model is adapted to the intricate structure of contemporary trading ecosystems through a detailed conceptual analysis and case study approach, identifying critical defence layers, including circuit breakers, algorithmic controls, liquidity monitoring, regulatory oversight and human intervention. The paper advances theoretical understanding by integrating insights from Normal Accident Theory and the principles of complex adaptive systems, providing practical guidance for risk governance. The Swiss Cheese Model functions as a structured vocabulary and diagnostic framework for analysing emergent failures in high-speed markets, emphasising the necessity for multilayered, diversified and resilient defences in designing algorithmic trading systems and regulatory frameworks. This paper offers a novel approach to understanding and mitigating the risks associated with flash crashes by shifting the focus from single-point causality to systemic alignment. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

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Cite This Study

Steven R. Haynes (2026) studied this question.

synapsesocial.com/papers/69af954870916d39fea4cbb3https://doi.org/10.69554/cmuz5179
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Also Consider

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