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Self-Resolving Prediction Markets for Unverifiable Outcomes

Siddarth Srinivasan, Ezra Karger, Yiling Chen·June 7, 2023·Academic Paper
Self-resolving prediction markets can work even when no one can verify the outcome

Why It's Worth Reading

Proposes a mechanism for prediction markets where outcomes cannot be objectively verified. Uses the last reporter's prediction as a reference point, creating incentives for truthful reporting through negative cross-entropy payments. Proves truthful reporting is a perfect Bayesian equilibrium.

Extensive technical background assumed

Concepts

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