Central Banks & Macro mixed · 0–6 months
A what‑if from the future

What if the PBOC slashes reserve requirements in an emergency easing?

An emergency 100bp RRR cut is capitulation to deflation that floods liquidity and nudges the renminbi weaker; the muted cascade is right — RRR cuts are liquidity plumbing, not demand, so copper and China internet get only a reflexive bid that fades absent fiscal follow-through. Rhymes with the September 2024 stimulus pop that ripped then stalled without budget support. Forward: without a fiscal bazooka, fade the metals rally; the yuan does the adjusting.

27%
our model probability
over 0–6 months
prediction markets — the market's odds
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Anchored to measured history 27% · 90% range 14–40% · 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 0–6 months 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 mixed shock. An emergency 100bps reserve-requirement cut signals capitulation to deflation, flooding the system with liquidity and weakening the renminbi. The trigger decomposes into signed root‑shocks — China growth ▼ · China stimulus ▲ — 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.