Fair Value & Edge

Fair value is the payoff expectation under your probability model, and edge is the difference between that value and the executable price—not a guarantee of realized profit.

“Which side wins?” and “which side is cheap?” are different questions. Fair value converts a belief into a monetary value; edge compares that value with what you must actually pay.

Formulas #

For a YES share paying 1 on YES and 0 on NO,

fair value=q,edge=q−p.fair\ value=q, \qquad edge=q-p.

qq is your estimated YES probability and pp is the executable YES purchase price. Before costs, edge equals EV per share.

More likely but overpriced #

At q=0.65q=0.65, YES is more likely. At p=0.70p=0.70, however,

edge=0.65−0.70=−0.05.edge=0.65-0.70=-0.05.

The side can be directionally correct and financially overpriced.

Less likely but attractive #

If YES has q=0.35q=0.35 but trades at p=0.20p=0.20, its edge is +0.15. YES is still less likely to occur, yet the reward for the price can make it attractive.

Life example #

The favorite in a competition may be the best team but a poor wager if everyone is willing to pay too much for it. A weaker team can be a better purchase without becoming the favorite.

Margin of safety #

Trading only when q−pq-p barely exceeds zero assumes qq is precise and costs vanish. A safety buffer mm requires

q−p>costs+m.q-p>costs+m.

The buffer is protection against estimation error, not free profit.

Application to no-hedge #

No-hedge tries to buy at a discount to a reference-derived fair value. Because no offsetting trade locks the relationship, the “edge” remains a forecast. Validate complementarity and freshness, subtract real costs, and require an explicit uncertainty buffer.

Self-check: q=0.30 and p=0.18. Is YES the likely outcome, and is it positive gross edge?

YES is not the likely outcome, but gross edge is 0.30−0.18=+0.120.30-0.18=+0.12.

Sources

  1. paperInterpreting Prediction Market Prices as Probabilitiespdf

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