In this guide
The financial world refers to them as "information markets." Those who trade them call them "prediction markets." Silicon Valley and technology circles often use the term "futarchy." Despite the varied nomenclature, all three point to an identical concept: a marketplace that harnesses financial rewards to consolidate scattered individual knowledge into a collective probability assessment accessible to all participants.
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 combining information distributed across many independent actors. Prediction markets extend this principle to uncertain future occurrences: the market value of a YES contract reflects the cumulative understanding of all participants regarding the likelihood of that event materialising.
Within any prediction market, individual traders bring distinct knowledge to the table: a political strategist understands polling methodologies, a sports analyst tracks player health status, a researcher grasps experimental timelines. As these individuals transact, they encode their personal insights into market valuations. The equilibrium price that emerges becomes a collective signal—one that synthesises information no individual participant could access alone.
Applications Beyond Trading
Information markets have found utility and deployment across numerous domains:
- Corporate decision-making: Organisations operate internal markets where staff wager on product success and commercial outcomes
- Scientific forecasting: Markets predicting whether published research will successfully replicate
- Policy evaluation: Robin Hanson's "futarchy" framework—employing prediction markets to assess the merit of proposed legislation
- Intelligence community: The CIA's Analysis of Competing Hypotheses initiative incorporated market-based methodologies
- Supply chain management: Hewlett-Packard deployed internal markets to anticipate sales demand
Prediction Markets vs Expert Panels
Conventional forecasting methodologies depend on specialist committees that synthesise perspectives via deliberation and negotiated agreement. Information markets present several structural benefits:
- Anonymity eliminates social pressure: Panel members frequently conform to prevailing opinion; market participants encounter no career risk when adopting minority positions
- Continuous updating: Prices shift in real-time; expert committees reassemble infrequently
- Financial incentive: Accurate forecasters earn returns; accurate panellists seldom receive tangible compensation
- No chairperson effect: The highest-ranking participant cannot steer collective judgment toward their personal assessment
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your domain-specific expertise translates into measurable advantage. Explore available markets organised by subject matter to identify opportunities aligned with your knowledge base.
FAQ
- Are prediction markets the same as information markets?
- Correct—"prediction market," "information market," "idea futures," and "event contract" function as synonymous terminology. Each designation refers to the identical mechanism: purchasing and selling contracts linked to the outcome of specified events.
- Who invented prediction markets?
- George Mason University scholar Robin Hanson constructed the bulk of theoretical work during the 1990s. The Iowa Electronic Markets, launched in 1988, represented the earliest operational instantiation.
- Can prediction markets be manipulated?
- Temporary price distortion is technically feasible but economically unfeasible to maintain. Academic evidence demonstrates that those attempting artificial price movement ultimately incur losses when knowledgeable traders restore equilibrium. Sufficiently deep and active markets exhibit strong resilience against such tactics.