In this guide
Academics refer to them as "information markets." Participants in trading refer to them as "prediction markets." Those working in technology circles call them "futarchy." Each label points to an identical concept: a marketplace that harnesses financial incentives to consolidate widely-held private knowledge into a transparent probability assessment.
The Core Insight: Prices Carry Information
Friedrich Hayek's seminal 1945 work "The Use of Knowledge in Society" demonstrated that price mechanisms address the central challenge of synthesising information distributed across many independent agents. Prediction markets extend this principle to prospective occurrences: the cost of a YES contract reflects the collective understanding of all market participants regarding the likelihood of that occurrence.
Each participant engaged in a prediction market possesses certain non-public knowledge: a political strategist understands survey methodology, an athletics specialist monitors player fitness, a researcher grasps project development pace. Through their participation in trades, they encode this specialised knowledge into the market's price. The resulting market valuation becomes a shared indicator that incorporates understanding no individual participant could access independently.
Applications Beyond Trading
Information markets have been suggested and implemented across:
- Organisational strategy: Workplace prediction markets where staff wager on commercial results
- Research validation: Markets predicting whether scientific work will be successfully replicated
- Governance assessment: Robin Hanson's "futarchy" — employing prediction markets to gauge policy effectiveness
- Defence and security: The CIA's Analysis of Competing Hypotheses programme incorporated market-based approaches
- Logistics optimisation: Hewlett-Packard deployed internal prediction markets to enhance revenue projections
Prediction Markets vs Expert Panels
Conventional forecasting depends on specialist committees who synthesise perspectives via deliberation and agreement. Information markets present several structural strengths:
- Anonymity removes conformity pressure: Specialists tend to gravitate toward prevailing opinion; market participants incur no social penalty for minority positions
- Real-time adjustment: Prices shift instantaneously; specialist committees gather infrequently
- Monetary incentive: Traders who forecast accurately earn returns; specialists on panels seldom receive tangible compensation
- Absence of hierarchy bias: The most experienced person in the room cannot sway the collective judgment toward their personal assessment
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your domain expertise yields a measurable advantage. Explore current markets organised by subject area to identify your specialisation.
FAQ
- Are prediction markets the same as information markets?
- Absolutely — "information market," "prediction market," "idea futures," and "event contract" function as synonymous expressions. Each denotes the identical trading mechanism centred on event probabilities.
- Who invented prediction markets?
- Robin Hanson at George Mason University constructed the primary theoretical framework during the 1990s. The Iowa Electronic Markets, established in 1988, marked the beginning of real-world deployment.
- Can prediction markets be manipulated?
- Temporary price distortion is technically feasible but economically unfeasible to maintain over time. Evidence indicates that those attempting manipulation ultimately suffer losses as knowledgeable traders restore equilibrium. Well-established, high-volume markets demonstrate substantial resilience against manipulation attempts.