What if Sustainable-aviation-fuel scale-up reshapes airline cost and fuel demand?
Mandates and incentives scale SAF production, adding near-term cost but reshaping the long-run jet-fuel demand curve and creating new industrial/energy winners.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (gold) over time vs the crowd's (Polymarket, blue), from the past toward the 1–3 years horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a mixed shock. Mandates and incentives scale SAF production, adding near-term cost but reshaping the long-run jet-fuel demand curve and creating new industrial/energy winners. The trigger decomposes into signed root‑shocks — Clean-energy abundance ▲ · Consumer spending ▼ · Industrial demand ▲ · Jet fuel ▲ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | Energy sector XLEon Hyperliquid 📈 chart | Equity | ▼ -0.5% hist -0.47–+0.29% · other way -2.93% (n=11) |
| 2 | Brent crude BRENTon Hyperliquid 📈 chart | Commodity | ▼ -0.4% hist -0.35–+0.01% · other way -3.33% (n=11) |
| 3 | ExxonMobil XOM 📈 chart | Equity | ▼ -0.4% hist -0.26–-0.13% · other way -3.14% (n=12) |
| 4 | WTI crude CLon Hyperliquid 📈 chart | Commodity | ▼ -0.4% hist -0.93–+1.28% · other way -3.69% (n=11) |
| 5 | Chevron CVX 📈 chart | Equity | ▼ -0.2% hist -0.36–+0.06% · other way -2.21% (n=12) |
Probable recommendation
Historical precedent — what analogous events actually did
Across 32 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| Volatility VIX | SHORT | -4.8% · 5d -4.3% | 69% | 26 | 0.28 | · |
| US dollar DXY | LONG | +0.2% · 5d -0.1% ↺ fades | 56% | 32 | 0.11 | · |
| Bitcoin BTC | LONG | +7.4% · 5d -1.2% ↺ fades | 54% | 15 | 0.07 | · |
| XLE XLE | LONG | +0.5% · 5d -0.4% ↺ fades | 52% | 24 | 0.04 | ⚠ differs |
| XOM XOM | SHORT | -0.0% · 5d -1.0% | 52% | 32 | 0.04 | ✓ matches cascade |
| BRENT BRENT | LONG | +0.2% · 5d -1.7% ↺ fades | 44% | 22 | 0.00 | ⚠ differs |
| CL CL | LONG | +1.5% · 5d -1.3% ↺ fades | 41% | 24 | 0.00 | ⚠ differs |
| CVX CVX | SHORT | -0.2% · 5d -0.9% | 49% | 32 | 0.00 | ✓ matches cascade |
| Gold XAU | SHORT | -0.3% · 5d -0.4% | 48% | 24 | 0.00 | · |
| High-yield credit HYG | LONG | +0.7% · 5d -0.3% ↺ fades | 42% | 22 | 0.00 | · |
| 10y yield DGS10 | LONG | +9bp · 5d +4bp | 49% | 32 | 0.00 | · |