RISK MANAGEMENT IN PREDICTION MARKETS
Plain English
The good news: in prediction markets, your maximum loss on any Yes position is exactly what you paid. You can't lose more than your entry price. But binary markets are brutal — you can be 'right' about direction and still lose everything if the event doesn't resolve your way. Diversification and position sizing are critical.
Going deeper
Risk management principles for prediction markets: (1) Maximum loss is capped — unlike leveraged instruments, you cannot lose more than your position cost. A Yes at $0.40 risks exactly $0.40 per contract. (2) Expected value discipline — only take positions where (probability × reward) > (1-probability × risk). If you think 60% chance, EV of Yes at $0.50 = 0.60 × $0.50 − 0.40 × $0.50 = $0.10 per contract (positive EV). (3) Position sizing by confidence — allocate more to high-conviction, well-researched positions. (4) Diversification across events — don't concentrate in one type of event (e.g., all political contracts). Spread across economic, financial, and other categories. (5) Avoid correlated risk — CPI, PCE, and PPI contracts are all inflation-correlated; holding all three isn't as diversified as it looks. (6) Resolution date management — avoid holding contracts through overnight sessions when liquidity drops and you can't react to news.
Examples
Kelly Criterion for PM
Kelly Criterion: bet fraction = (p × b − (1-p)) / b, where p = your probability estimate, b = net odds ($1.00 / cost − 1). You think 60% chance, contract costs $0.45, b = 0.55/0.45 = 1.22. Kelly fraction = (0.60 × 1.22 − 0.40) / 1.22 = (0.732 − 0.40) / 1.22 = 0.27. Bet 27% of your PM bankroll — or use half-Kelly (13.5%) for more conservative sizing.
Correlated Risk Example
You're long Fed rate cut contracts AND long bond futures AND short bank stocks. All three positions profit from the same outcome (Fed cuts rates). You have 3 positions but only 1 real bet. This concentrated risk means a hawkish Fed surprise hits all three simultaneously. Truly diversified PM portfolios span different event types with different resolution drivers.