Central Banks & Macro risk-off · 1–3 years
A what‑if from the future

What if Moody's cuts Italy to junk and forces BTP selling?

An Italy junk cut forces index ejection from IG benchmarks, so the cleanest trade is short BTPs / long Bund: the BTP-Bund spread gaps wider and EU bank credit (which warehouses sovereign paper) leads equities down. Rhymes with the 2011-12 euro crisis when 10y BTP yields blew past 7% and Italian banks cratered. Transmission runs through French and German banks holding peripheral debt; the forward twist is the ECB's TPI backstop, which can cap fragmentation far faster than 2012 — fade the most extreme spread widening.

7%
our model probability
over 1–3 years
prediction markets — the market's odds
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Anchored to measured history 7% · 90% range 1–13% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

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 (electric blue) over time vs the market's (Polymarket, amber), 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. Loading the probability audit trail…

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What it would mean

If this plays out, it is a risk-off shock. Moody's downgrades Italy below investment grade, forcing index-driven forced selling of BTPs. The trigger decomposes into signed root‑shocks — Credit spreads ▲ · Financial conditions ▲ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.