Fragility Case Study: Dual Momentum GEM

Newfound Research

Research

20 Pages

Newfound Research examines how small implementation choices can materially alter outcomes in a popular dual momentum strategy. Using GEM as a case study, the paper shows that minor parameter tweaks can drive dramatically different results, challenging the idea that simple systematic models are inherently robust.

Key Takeaways

Specification Risk Matters: Changing lookback windows from 6 to 12 months led to performance spreads of hundreds to thousands of basis points annually across GEM implementations.
Timing Can Lag: In Q4 2018, GEM stayed risk-on until after a -14% drawdown, highlighting how signals can materially lag turning points.
Diversification Improves Stability: Combining 7 model variations reduced drawdowns and improved Sharpe ratios versus any single specification.

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