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FRM Part II · FRM Exam Part II · The Financial Stability Implications of Artificial Intelligence

A trading firm uses AI-driven signals for portfolio construction. Many competitors use similar models trained on similar data. Which financial stability concern is most directly raised by this use case?

The main concern is herding and correlated positioning. When many firms use similar AI models and data, they may trade in the same direction under stress, amplifying price swings and liquidity strain. AI does not eliminate tail risk or remove the need for liquidity buffers.

  1. AReduced need for liquidity buffers because AI predicts outflows exactly
  2. BHerding and correlated positions that can amplify market stressCorrect
  3. CElimination of tail risk through better forecasting
  4. DLower market volatility because all participants hold diversified views

Explanation

Similar models and data can lead firms to take similar positions and react alike to shocks, amplifying price moves, fire sales and liquidity strain. AI does not remove tail risk or the need for buffers, and homogeneity reduces diversity of views rather than adding it.

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