In this guide
Academics refer to them as "information markets." Those who trade call them "prediction markets." Silicon Valley circles use the term "futarchy." Each label points to an identical concept: a marketplace that harnesses financial incentives to consolidate scattered individual knowledge into a collective 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 uncertain future events: a YES share's market value reflects the combined conviction of all participants regarding the likelihood of that event occurring.
Each market participant brings distinct private knowledge to the table: a political strategist understands polling methodology, a football analyst tracks team injuries and form, a researcher grasps experimental progress. Through their trading activity, they encode this private understanding directly into prices. The final equilibrium price becomes a collective signal encompassing insights that no individual trader possesses in isolation.
Applications Beyond Trading
Information markets have been trialled and implemented across numerous domains:
- Corporate decision-making: Organisations establish internal markets where staff trade on product performance and commercial outcomes
- Scientific forecasting: Markets predicting whether published research will successfully replicate
- Policy evaluation: Robin Hanson's "futarchy" framework — deploying prediction markets to assess the merit of proposed policy changes
- Intelligence community: The CIA's Analysis of Competing Hypotheses programme incorporated market-based methodologies
- Supply chain management: Hewlett-Packard deployed internal markets to forecast sales and demand
Prediction Markets vs Expert Panels
Conventional forecasting depends on specialist committees that synthesise perspectives via deliberation and agreement. Information markets present several structural benefits:
- Anonymity eliminates social pressure: Specialists tend to gravitate toward prevailing opinion; traders encounter no social penalty for dissenting positions
- Continuous updating: Prices shift in real time; expert committees convene infrequently and revise slowly
- Financial incentive: Successful forecasters capture profits; successful panellists rarely receive tangible reward
- No chairperson effect: The most experienced person in the room cannot steer collective judgment toward their preferred outcome
Trade Information Markets on PolyGram
PolyGram operates hundreds of information markets where your specialist knowledge delivers a real competitive advantage. Explore live markets organised by subject area to discover opportunities aligned with your expertise.
FAQ
- Are prediction markets the same as information markets?
- Correct — "prediction market," "information market," "idea futures," and "event contract" function as synonyms. Each denotes the identical trading mechanism centred on the outcome of future events.
- Who invented prediction markets?
- Robin Hanson at George Mason University pioneered the conceptual framework during the 1990s. The Iowa Electronic Markets, launched in 1988, represented the first substantial real-world application.
- Can prediction markets be manipulated?
- Temporary price distortion is technically feasible but economically costly to maintain. Empirical evidence demonstrates that those attempting manipulation typically suffer losses when knowledgeable traders restore accurate pricing. Well-established, high-volume markets exhibit strong resilience against manipulation attempts.