FRM Part II · FRM Exam Part II · Advances in Artificial Intelligence: Implications for Capital Markets Activities
Several large trading firms deploy similar AI-driven strategies trained on overlapping data and optimized for the same signals. During a sharp market sell-off, which amplification mechanism is most plausible for financial stability?
Synchronized behavior is the likely mechanism. Similar AI models trained on overlapping data interpret stress signals the same way and sell together, amplifying price falls and draining liquidity. This herding makes markets more procyclical instead of diversifying risk, which raises financial stability concerns.
- AModels respond in similar ways to the same stress signals, producing synchronized selling that deepens price declines and liquidity strainCorrect
- BModels diversify positions automatically, which dampens volatility
- CHigher model complexity guarantees faster price discovery and shallower drawdowns
- DReduced use of leverage because AI forecasts are always conservative
Explanation
Herding and correlated behavior arise when similar models trained on similar data react identically to shocks, generating procyclical selling and liquidity spirals. The distractors assume diversification or conservatism that is not implied by common models.
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