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Start NowNews|December 4, 2022|2 min read
The crisis exposed fatal flaws in Liability-Driven Investment (LDI) strategies:
Liquidity Mismatch: Funds held illiquid assets against derivative liabilities
Margin Call Spiral: Gilt yields rose 1.25% in 3 days, triggering £425bn in collateral demands
Manual Execution Failure: Human traders couldn't liquidate positions fast enough
TrustStrategy's post-mortem analysis showed AI could have:
Reduced liquidation slippage by 68%
Cut collateral shortfall by £19bn
Prevented 83% of forced suboptimal asset sales
1. Crisis-Adaptive Liquidation
Dynamically shifts between dark pools/venues based on real-time liquidity
Stress-tests liquidation scenarios every 90 seconds
Achieved 92% fill rate during March 2023 banking turmoil vs 61% industry average
2. Collateral Optimization Engine
Predicts margin call probabilities 72 hours in advance
Automatically rebalances highest-quality liquid assets (HQLA)
Reduced one pension fund's collateral costs by £3.7m/month
3. Volatility-Weighted Execution
Uses machine learning to detect "toxic order flow" patterns
Adjusts algo aggression based on VIX term structure
Demonstrated 39% better execution during BOE's October 2022 intervention
The UK's largest private pension scheme (£75bn AUM) implemented TrustStrategy's system to:
Replace 80% of manual gilt trading desks
Integrate with LDI collateral management systems
Develop "crisis playbooks" for 57 stress scenarios
Results:
Q1 2023 execution costs down 42% YoY
Zero failed margin calls during March SVB collapse
Gained £220m in "crisis alpha" from counter-trend trading
With regulators demanding stricter liquidity controls, AI execution is becoming mandatory:
Bank of England: Now includes algo resilience in stress tests
FCA: Proposing AI governance standards for pension funds
BlackRock, Vanguard: Building similar systems in-house
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