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

What if Pakistan's IMF bailout stalls and the rupee tumbles?

Islamabad missing IMF reform targets stalls the bailout and tumbles PKGB bonds and the rupee on default fear — an idiosyncratic frontier credit event. Rhymes with Pakistan's mid-2022 to 2023 near-default before the last-minute SBA. The Gulf (Saudi/UAE) and China roll over the bilateral debt that keeps Pakistan solvent; the forward angle is that repeated brinkmanship has made friendly-creditor rollovers, not the IMF tranche itself, the true binding constraint.

19%
our model probability
over 0–6 months
prediction markets — the market's odds
loading live odds…
Anchored to measured history 19% · 90% range 2–36% · 26 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…

loading the timeline…

What it would mean

If this plays out, it is a risk-off shock. Islamabad misses IMF reform targets, the bailout stalls, and PKGB bonds and the rupee tumble on default fear. The trigger decomposes into signed root‑shocks — Credit spreads ▲ · Recession signal ▲ — 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.