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arxiv: 2603.03136 · v2 · submitted 2026-03-03 · 💰 econ.GN · q-fin.EC

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The Anatomy of a Blockchain Prediction Market: Polymarket in the 2024 U.S. Presidential Election

Kwok Ping Tsang, Zichao Yang

classification 💰 econ.GN q-fin.EC
keywords marketdecompositionelectionframeworkoctoberpolymarketpredictionpresidential
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Using on-chain Polygon data, we analyze Polymarket's 2024 U.S. Presidential Election market and develop a transaction-level accounting framework with two components: a volume decomposition that separates exchange-equivalent turnover from share minting and burning, and trader-level disagreement measures. Naive aggregation reports $958M of October Trump-market volume, compared with $391M under our decomposition. Market quality improved as arbitrage-deviation half-lives fell from hours to under a minute and Kyle's {\lambda} dropped from 0.53 to 0.01. During October's large-account episode, capital flowed into both sides simultaneously, consistent with heterogeneous-beliefs trading rather than one-sided manipulation. The framework generalizes to other tokenized prediction markets.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    q-fin.TR 2026-04 accept novelty 7.0

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