In this guide
The financial sector refers to them as "information markets." Those who actively trade call them "prediction markets." Software engineers and technologists use the term "futarchy." Despite the varied nomenclature, all three labels point to an identical concept: a marketplace that harnesses monetary rewards to consolidate scattered knowledge held across many individuals into a single, transparent likelihood figure.
The Core Insight: Prices Carry Information
Friedrich Hayek's seminal 1945 essay "The Use of Knowledge in Society" demonstrated that price mechanisms address the central challenge of bringing together information scattered across countless economic actors. Prediction markets extend this principle to uncertain future occurrences: the cost of a YES share reflects the combined understanding of every participant regarding how likely that event truly is.
Each participant in a prediction market holds some unique insight: a political researcher understands survey methodology and reliability, a sports analyst tracks team injuries and roster changes, a researcher understands project milestones and technical hurdles. Through their trading activity, they encode that specialist knowledge directly into the price. The final market price becomes a shared indicator that synthesises information no individual participant could possess on their own.
Applications Beyond Trading
Information markets have received proposals and real-world deployment across numerous sectors:
- Corporate decision-making: Organisations run internal prediction markets where staff wager on product performance and commercial outcomes
- Scientific forecasting: Markets predicting whether published research findings will replicate successfully
- Policy evaluation: Robin Hanson's "futarchy" — deploying prediction markets as the mechanism for assessing government and institutional policy choices
- Intelligence community: CIA's Analysis of Competing Hypotheses initiative employed market-based methodologies
- Supply chain management: HP deployed internal prediction markets to improve demand and revenue forecasts
Prediction Markets vs Expert Panels
Conventional forecasting depends on specialist committees who synthesise perspectives via dialogue and negotiated agreement. Information markets deliver substantial structural benefits:
- Anonymity eliminates social pressure: Panellists frequently defer to prevailing opinion; traders operate without reputational exposure for minority positions
- Continuous updating: Prices shift in real time; expert committees reassemble infrequently
- Financial incentive: Successful forecasters earn returns; successful panellists rarely receive tangible compensation
- No chairperson effect: The most influential or senior panellist cannot steer collective judgment toward their personal assessment
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your specialist expertise translates into measurable advantage. Deposit and withdrawal options via Klarna, Sofort, SEPA, and USDC streamline funding and settlement. Explore available markets organised by subject area to locate your area of knowledge.
FAQ
- Are prediction markets the same as information markets?
- Correct — "prediction market," "information market," "idea futures," and "event contract" function as synonymous terms in practice. Each refers to the identical trading mechanism centred on event outcomes.
- Who invented prediction markets?
- Robin Hanson at George Mason University constructed the bulk of theoretical work during the 1990s. Practical deployment started with the Iowa Electronic Markets in 1988.
- Can prediction markets be manipulated?
- Temporary price distortion remains feasible but demands substantial capital to maintain. Evidence indicates that parties attempting manipulation ultimately lose funds as knowledgeable traders restore accurate pricing. Established, high-volume markets show strong resistance to attempted manipulation.