What if Food-and-fertilizer disinflation anchors EM rate-cut cycle?
Durably lower global food and fertilizer prices anchor EM inflation expectations, enabling a sustained rate-cut cycle and local-asset rally.
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. Durably lower global food and fertilizer prices anchor EM inflation expectations, enabling a sustained rate-cut cycle and local-asset rally. The trigger decomposes into signed root‑shocks — EM currencies ▲ · Fertilizer cost ▼ · Food inflation ▼ · Inflation expectations ▼ — 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 | Turkish lira TRY 📈 chart | FX | ▲ +0.5% hist -0.74–+1.62% · other way +0.44% (n=12) |
| 2 | Indian rupee INR 📈 chart | FX | ▲ +0.4% hist -0.17–+0.82% · other way +0.19% (n=12) |
| 3 | Chinese yuan CNY 📈 chart | FX | ▲ +0.2% hist +0.08–+0.21% · other way -0.39% (n=12) |
| 4 | 30y Treasury yield DGS30 📈 chart | Rate | ▼ -1bp hist -4.71–+4.15% · other way +4.8% (n=12) |
| 5 | 10y Treasury yield DGS10 📈 chart | Rate | ▼ -1bp hist -4.71–+3.33% · other way +9.1% (n=12) |
Historical precedent — what analogous events actually did
Across 10 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 | -5.6% · 5d -5.4% | 80% | 10 | 0.37 | · |
| Bitcoin BTC | SHORT | -5.5% · 5d -1.8% | 71% | 7 | 0.34 | · |
| Gold XAU | LONG | +2.4% · 5d -1.1% ↺ fades | 67% | 9 | 0.30 | · |
| High-yield credit HYG | LONG | +0.2% · 5d -0.0% ↺ fades | 71% | 7 | 0.27 | · |
| TRY TRY | LONG | +1.3% · 5d +1.8% | 62% | 8 | 0.18 | ✓ matches cascade |
| US dollar DXY | LONG | +0.8% · 5d +0.1% | 60% | 10 | 0.17 | · |
| 30y yield DGS30 | LONG | +6bp · 5d +2bp | 60% | 10 | 0.16 | ⚠ differs |
| INR INR | LONG | +0.5% · 5d +0.2% | 50% | 8 | 0.00 | ✓ matches cascade |
| CNY CNY | LONG | +0.0% · 5d -0.3% ↺ fades | 50% | 8 | 0.00 | ✓ matches cascade |
| 10y yield DGS10 | LONG | +4bp · 5d +4bp | 50% | 10 | 0.00 | ⚠ differs |