Momentum Strategies¶
Difficulty intermediate
Concept¶
Momentum is the tendency for assets that have performed well (poorly) to continue performing well (poorly). It's one of the most robust anomalies in finance.
returns of next 3 months │ ● │ ╱ │ ●╱ │ ●╱ │ ●╱ │ ●╱ │ ● │ ● │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ●─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ zero │ ● │ ● │ ● │ ● │ ● ● │ ● ● │ ● └──────────────────────────────────────────────────────→ decile of D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 past-12m return losers ←─────────────────────────────────────→ winners cross-sectional momentum: long top decile, short bottom decile the monotone slope is the empirical signature
Academic Foundation¶
- Jegadeesh & Titman (1993): "Returns to Buying Winners and Selling Losers"
- Cross-sectional momentum: 3-12 month lookback
- Time-series momentum: Absolute returns predict future direction
Strategy 1: Cross-Sectional Momentum¶
1. Rank assets by past N-month returns
2. Go long top decile (winners)
3. Go short bottom decile (losers)
4. Rebalance monthly
Strategy 2: Time-Series Momentum¶
Strategy 3: Dual Momentum¶
1. Calculate absolute momentum (vs. cash/risk-free)
2. Calculate relative momentum (vs. benchmark)
3. Only invest if both are positive
4. Choose asset with highest relative momentum
Momentum Factors¶
| Factor | Lookback | Rationale |
|---|---|---|
| Short-term reversal | 1 month | Overreaction correction |
| Medium-term momentum | 3-12 months | Underreaction to news |
| Long-term reversal | 3-5 years | Overreaction to trends |
Momentum Crash Risk¶
Momentum strategies are prone to sudden crashes during market reversals:
2009 Momentum Crash: Value stocks rallied sharply, devastating momentum portfolios that were short value.
Mitigation: - Add trend filter - Use volatility targeting - Implement stop-losses - Diversify across asset classes
Momentum Indicators¶
Rate of Change (ROC)¶
where:
ROCrate of change (%) ·P_tcurrent price ·P_{t-n}price n periods ago. does: percent return over a fixed lookback. Common momentum signal — high ROC ranks an asset as a winner for cross-sectional sorts.
Relative Strength¶
where:
RSrelative strength ratio ·Asset Returncumulative return on the asset ·Benchmark Returncumulative return on the benchmark over the same window. does: measures outperformance vs. a reference index. Used to filter momentum candidates to those beating the market — the basis of IBD-style relative-strength rankings.
Momentum Oscillator¶
where:
P_tcurrent price ·P_{t-n}price n periods ago. does: raw price change over the lookback. Sign gives direction, magnitude scales by price level — prefer ROC for cross-asset comparison.
Combining Momentum with Other Factors¶
| Combination | Rationale |
|---|---|
| Momentum + Quality | Momentum in high-quality stocks |
| Momentum + Low Vol | Reduce momentum crash risk |
| Momentum + Value | Avoid momentum in expensive stocks |
| Momentum + Size | Small-cap momentum is stronger |
Performance Characteristics¶
| Metric | Typical Range |
|---|---|
| Win Rate | 45-55% |
| Profit Factor | 1.3-2.0 |
| Sharpe Ratio | 0.5-1.2 |
| Max Drawdown | 15-40% |
| Avg Holding Period | 1-6 months |
Practical Guidelines¶
- Trend Filter — Only take momentum signals in trend direction
- Volatility Adjust — Scale positions by volatility
- Diversify — Across assets, sectors, timeframes
- Avoid Earnings — Close positions before earnings
- Rebalance Regularly — Monthly or quarterly
- Crash Protection — Have a plan for momentum crashes
- Patience — Momentum strategies underperform in mean-reverting markets
Next Steps¶
- Mean Reversion — Opposite approach
- Factor Investing — Multi-factor strategies
- Machine Learning — ML-enhanced momentum