Concept · liquidity-and-trading
Implied Correlation
Quick definition. The degree to which related prediction-market outcomes should move together based on economic logic. When markets price correlated events inconsistently, the implied correlation differs from the historically-justified correlation · and a relative-value trade exists.
Key insights
- Jon Turek frames implied correlation as a direct import from established trading literature: "relative value trading, dual digitals, dispersion trading" · concepts "very familiar to the trading community" that he argues map cleanly onto PMs.
- Turek's structural claim: correlation creates either leverage (juicing returns on a directional view by stacking correlated bets) or arbitrage (when historical correlation diverges from market-implied correlation), and both are live opportunities on Polymarket now.
- The Polymarket worked example is more granular than originally summarized: 30–35% recession probability (matches Goldman sell-side estimates vs. an economist baseline of 15–20%); within the unemployment distribution, 65% chance unemployment rises to 5% and 35% chance it rises to 5.5%.
- Despite that distribution, the Fed-rate market is pricing "a baseline of no cuts, with an even bias towards a hike and a cut as the next move" · and "only a 20% chance that the Fed cuts more than two times this year".
- Turek's historical reference set for unemployment rising +1.2% or more in a year (i.e. 5.5%): 1974–75 oil shock, 1980–82 double-dip, 1990–91 Gulf War, 2001 dot-com bust, 2007–09 Great Recession, 2020 COVID. Average rate cuts across those six episodes: seven.
- Macro context Turek cites: US economy "shed 92k jobs" last month, ~6 months of weak payroll growth, falling JOLTs job openings, and a fresh "energy shock from the war in Iran" · all pushing the unemployment-skew higher, but the Fed-cut market hasn't repriced accordingly.
- The structural cause Turek names explicitly: PM contracts are "priced idiosyncratically" · each market with its own MMs, retail base, narrative cycle, and no cross-market arbitrageur ensuring economic coherence. This is a renewable source of relative-value trades for anyone with a coherent macro/economic model.
- Trade construction Turek proposes: long "YES" on Fed rate cuts + short "NO" on unemployment outcomes · captures payouts in either macro outcome because the legs hedge each other where history says they should be correlated.
- The natural product layer is covariance markets (which would let traders express implied-correlation views directly) and AI agents (which can scan thousands of pairs faster than humans).
- Connection to st1ne's "conditional probability arbitrage across correlated markets" MEV edge · the trader-side counterpart to building covariance infrastructure.
- The pattern resembles classic equity pair-trading but operates over discrete events with cleaner economic linkages.
In their words
Polymarket currently prices a 60%+ chance of 5% unemployment this year alongside only a 10% chance of aggressive Fed rate cuts, even though every historical episode of that unemployment spike triggered an average of seven cuts.· Jon Turek
Cross-market mispricings like this are common and create attractive relative value trades.· Jon Turek
These markets have a high degree of implied correlation and that is not being reflected in the current prices. Even at a high level, if the unemployment rate went to 5% this year, which prediction markets assume to be a +60% chance outcome, there is no way that 'on hold' + 'next move hike' should be a combined 50% chance on Polymarket.· Jon Turek
What we have is a lot of listed markets that are being priced idiosyncratically but many of them have an implied correlation to them.· Jon Turek
Where it matters
Implied correlation is the cleanest argument for why prediction markets · as a network of independently-priced contracts · fail to aggregate information coherently across related events. Each market may be individually well-calibrated, but the joint distribution is incoherent. This is partly what limits the asset class's use for serious hedging and macro signaling, and it's the empirical case for both covariance-market infrastructure and cross-market AI agents.
Connections
- Relative value trading · the strategy that consumes implied-correlation mispricing.
- Covariance markets · the proposed primitive for expressing it directly.
- Arbitrage · parent category.
- Information aggregation · what implied correlation reveals is broken in current PMs.
- AI agents · scaling enabler.
Platforms linked to this concept
- Polymarket · implements · Mentioned in Implied Correlation content as an implementing platform
Related concepts
Sources
- Prediction Markets and Implied Correlation · Jon Turek · Mar 24, 2026