In this guide
Academics refer to them as "information markets." Market participants call them "prediction markets." Those in technology circles use the term "futarchy." Despite the varied nomenclature, all three labels capture the same underlying concept: a marketplace that harnesses financial incentives to consolidate scattered individual knowledge into a collective probability assessment.
The Core Insight: Prices Carry Information
In his landmark 1945 essay "The Use of Knowledge in Society," Friedrich Hayek demonstrated that price mechanisms address the central challenge of synthesising information that no individual actor holds in its entirety. Prediction markets extend this principle to uncertain future occurrences: the cost of a YES share reflects the accumulated understanding of all market participants regarding the likelihood of that occurrence.
Within any prediction market, each participant brings some degree of specialist knowledge: a political researcher understands polling methodology, a sports enthusiast tracks player fitness, a researcher comprehends experimental timelines. Through their trading activity, they encode this specialist insight into the price. The resulting market valuation becomes a shared indicator encompassing knowledge distributed across the entire participant base.
Applications Beyond Trading
Information markets have been suggested and implemented across numerous domains:
- Organisational strategy: Employee-based prediction markets where staff wager on commercial outcomes
- Academic research: Markets predicting whether published findings will replicate
- Governance decisions: Robin Hanson's "futarchy" concept — employ prediction markets to assess governmental initiatives
- National security: The CIA's Analysis of Competing Hypotheses programme incorporated market-based methodologies
- 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 dialogue and agreement. Prediction markets versus expert-led approaches reveal several structural benefits:
- Anonymity removes conformity pressure: Specialists frequently defer to prevailing opinion; market participants encounter no social penalty for minority positions
- Real-time recalibration: Prices shift instantaneously; specialist committees meet infrequently
- Monetary reward for accuracy: Successful forecasters earn returns; successful panellists seldom receive tangible compensation
- Absence of hierarchy bias: The most authoritative person in the room cannot steer collective judgment toward their personal assessment
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your domain expertise delivers genuine competitive advantage. Browse active markets sorted by category to locate your specialisation.
FAQ
- Are prediction markets the same as information markets?
- Correct — "prediction market," "information market," "idea futures," and "event contract" are employed synonymously. Each denotes the identical trading mechanism centred on event outcomes.
- Who invented prediction markets?
- Robin Hanson at George Mason University constructed substantial theoretical groundwork during the 1990s. Operational deployment commenced with the Iowa Electronic Markets in 1988.
- Can prediction markets be manipulated?
- Temporary price distortion is achievable but economically unfeasible over extended periods. Academic evidence demonstrates that those attempting price manipulation ultimately incur losses when knowledgeable traders restore equilibrium. Well-capitalised, high-volume markets exhibit strong resilience against manipulation attempts.