Macro regime (credit spreads)
Baseline A well-known reference strategy. Not a candidate: it sets the bar new ideas must clear.
Performance
Backtest after costs. Train is where the idea was developed; validation is where it was judged.
| Metric | Train 2007–15 | Validation 2016–21 |
|---|---|---|
| CAGR | 9.3% | 14.6% |
| Volatility | 14.4% | 12.9% |
| Sharpe | 0.64 | 1.05 |
| Sortino | 0.86 | 1.20 |
| Max drawdown | -31.3% | -23.5% |
| Calmar | 0.30 | 0.62 |
| Worst month | -10.8% | -7.6% |
| Months up | 62% | 79% |
| Turnover / yr | 0.9× | 1.1× |
| Avg gross exposure | 1.00× | 1.00× |
| Correlation to SPY | 0.94 | 0.97 |
| Correlation to 60/40 | 0.94 | 0.97 |
| Beta to SPY | 0.63 | 0.69 |
Average holdings
How it works
Sets stock exposure from economic and market-stress data, each used only after its publication date: an inverted yield curve, tightening financial conditions, rising jobless claims and widening credit spreads each cut equity risk; the rest goes to Treasuries and gold. Monthly.
Why it should work. Recessions and credit stress drive the biggest equity losses, and they leave fingerprints in the bond market (curve inversion, spreads) and fast labor data (claims) before or as stocks fall — the 'economic machine' view of the cycle. Uses point-in-time data to avoid hindsight.