Introduction

Widespread AI trading concentration creates systemic risks—correlated algorithms amplifying volatility and crash risk. Macroprudential frameworks address emerging risks from algorithmic trading concentration.

Risk Sources and Vulnerabilities

Algorithm correlation, liquidity evaporation during stress, fire-sale cascades, systemic feedback loops.

Regulatory Response and Controls

Circuit breakers, algorithm testing requirements, concentration monitoring.

Ongoing Challenges and Gaps

Monitoring and managing systemic AI trading risks remains challenging and unsolved.

Conclusion

Macroprudential AI governance becomes critical to financial stability.