Earnings

Polymarket Bettors Called Earnings Right 78.5% of the Time. Wall Street Analysts Managed 43.7%

Quick Read

  • Polymarket bettors predicted quarterly earnings correctly 79% of the time, versus just 44% for Wall Street analyst consensus, a difference that amounts to a 35-point accuracy gap.

  • Companies deliberately walk down analyst estimates before quarters close, engineering an easy bar to beat and making consensus a biased, negotiated number.

  • Forward guidance matters most when evaluating earnings because it is the one figure management hasn’t yet had a chance to manipulate downward.

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Prediction market bettors on Polymarket called quarterly earnings correctly 79% of the time, while the Wall Street analyst consensus was right 44% of the time, according to Beating the Earnings Game, a study by Daniel Rabetti, Jiaqi Shao and Che Zhang, one of whom researches at the National University of Singapore. Larry Swedroe summarized the findings for Financial Advisor Magazine, and Swedroe called it a 35-point gap that deserves a moment of attention from anyone who reads earnings headlines through a brokerage app.

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The study’s sample is narrow. Swedroe notes that the sample covers only six months and is limited to firms with active prediction markets, which skews the universe toward larger, more liquid, widely followed names. That caveat matters. The size of the accuracy gap is still hard to explain away.

What the Study Actually Measured

A Polymarket earnings contract is a real-money bet on a binary outcome: will a specific company clear a stated earnings-per-share threshold in a specific fiscal quarter? Traders buy and sell the contract at any time before the report, and the price floats between zero and one dollar based on what buyers are willing to pay. Swedroe explains that the contracts settle at $1 per share if a company beats estimates and $0 per share if it misses. Because real money is on the line, the live price behaves as a probability estimate that updates continuously.

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A consensus estimate is something quite different. It is the mean or median of forecasts submitted by the sell-side analysts who cover a stock, compiled by data vendors and refreshed when individual analysts publish new numbers. Many readers treat that consensus as a neutral scientific baseline. In practice it is a negotiated number.

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